CN104335622A

CN104335622A - Network planning and optimization method and apparatus based on service distribution

Info

Publication number: CN104335622A
Application number: CN201380001565.5A
Authority: CN
Inventors: 李颖哲; 杨利
Original assignee: Huawei Technologies Co Ltd
Current assignee: Huawei Technologies Co Ltd
Priority date: 2013-05-30
Filing date: 2013-05-30
Publication date: 2015-02-04
Anticipated expiration: 2033-05-30
Also published as: CN104335622B; WO2014190528A1

Abstract

Disclosed are a network planning and optimization method and apparatus based on service distribution. The present invention relates to the field of communications, and can avoid waste of a resource and improve user experience. A specific solution comprises: obtaining a service distribution map of a to-be-planned region; rasterizing the service distribution map according to a preset rasterization precision to obtain at least one raster, and aggregating the at least one raster into at least one service hot spot; placing the at least one service hot spot into at least one hot spot group, the at least one hot spot group comparing a first hot spot group; obtaining a service amount of the first hot spot group and location information of a weighted center of the first hot spot group according to a service amount of each service hot spot in the first hot spot group and location information of the weighted center; and setting a station at the weighted center of the first hot spot group, and adjusting an antenna engineering parameter of the station according to the number of sectors and the number of cells in the preset station and according to the service amount of the first hot spot group.

Description

Network planning and optimization method and apparatus based on service distribution

The network planning, optimization method and device based on service distribution

Technical field

The present invention relates to the communications field, more particularly to a kind of network planning based on service distribution, optimization method and device.Background technology

Wireless network planning or optimization are aimed under certain cost, and the capacity and covering that make wireless network all meet the construction quotas of expected desired wireless network, mainly including base station site, stand height, antenna work ginseng, transmission power etc..

Wireless network planning or prioritization scheme of the prior art are all based on the network coverage, i.e., existing when carrying out the planning or optimization of wireless network, are all for the purpose of the network coverage, it is not intended that the business demand of the cell of each in network area.Therefore, can exist due to the business demand of some cells in planning region it is smaller, caused by problem of resource waste；Because the business demand of some cells in planning region is larger, caused by overloaded base stations, the problem of poor user experience.The content of the invention

Embodiments of the invention provide a kind of network planning based on service distribution, optimization method and device, the waste of resource can be avoided when carrying out the network planning, while improving Consumer's Experience.

The first aspect of the embodiment of the present invention there is provided a kind of network plan method based on service distribution, including：

The service distribution figure of area to be planned is obtained, the service distribution figure includes the distribution of traffic situation in the area to be planned；

The service distribution figure is carried out by rasterizing processing according to default rasterizing precision and obtains at least one grid, at least one described grid is aggregated into at least one traffic hotspots；At least one described traffic hotspots are divided to the packet of at least one focus, at least one focus packet includes the packet of the first focus, the quantity of the focus packet and default station Point quantity is equal；

The positional information for the weighted center that the portfolio and first focus that the portfolio of each traffic hotspots in being grouped according to first focus and the positional information of weighted center obtain the first focus packet are grouped；

Website is set at the weighted center that first focus is grouped, and with reference to the number of sectors or number of cells in the default website, the portfolio being grouped according to first focus adjusts the antenna works parameter of the website.

With reference in a first aspect, in a kind of possible implementation, the service distribution figure for obtaining area to be planned, including：

By minimizing the distribution of traffic situation in the drive test MDT acquisitions area to be planned, and generate the service distribution figure；

Or,

Distribution of traffic situation in the area to be planned is obtained by the MDT；With reference to the distribution of traffic situation after the distribution of traffic situation in the area to be planned obtained and the area to be planned preset time of prediction, the service distribution figure is generated.

With reference to first aspect and above-mentioned possible implementation, in alternatively possible implementation, it is described that service distribution figure progress rasterizing processing is obtained by least one grid according to default rasterizing precision, at least one described grid is aggregated into at least one traffic hotspots, including：

At least one grid according to the default rasterizing precision obtains service distribution figure progress rasterizing processing；

Obtain the positional information of the weighted center of at least one grid；

At least one traffic hotspots according to the positional information of the weighted center of at least one grid aggregates at least one described grid.

With reference to first aspect and above-mentioned possible implementation, in alternatively possible implementation, after service distribution figure progress rasterizing processing to be obtained at least one grid according to default rasterizing precision, methods described also includes：

The portfolio of at least one grid is obtained, and according to the portfolio and the positional information of weighted center of each grid included at least one described traffic hotspots, calculates described The positional information of the weighted center of the portfolio of at least one traffic hotspots and at least one traffic hotspots.

With reference to first aspect and above-mentioned possible implementation, in alternatively possible implementation, at least one described grid includes the first grid and the second grid；At least one described traffic hotspots include the first traffic hotspots；

At least one described grid is aggregated at least one described traffic hotspots by the positional information of the weighted center of at least one grid described in the basis, is specifically included：

If the distance between weighted center of the weighted center of first grid and second grid is less than first threshold, first grid and second grid are aggregated into first traffic hotspots.

With reference to first aspect and above-mentioned possible implementation, in alternatively possible implementation, at least one described grid also includes the 3rd grid；

Aggregated into by first grid and second grid after first traffic hotspots, methods described also includes：

If the distance between weighted center of the weighted center of first traffic hotspots and the 3rd grid is less than the first threshold, first traffic hotspots and the 3rd grid are aggregated into new first traffic hotspots；

According to the positional information of the weighted center of the portfolio of first traffic hotspots, the portfolio of the 3rd grid, the positional information of the weighted center of first traffic hotspots and the 3rd grid, the positional information of the portfolio of new first traffic hotspots and the weighted center of new first traffic hotspots is updated；

And/or；

At least one described traffic hotspots also include the second traffic hotspots；

If the distance between the weighted center of first traffic hotspots and the weighted center of second traffic hotspots are less than the first threshold, first traffic hotspots and second traffic hotspots are aggregated into new first traffic hotspots；

According to the portfolio of first traffic hotspots, the portfolio of second traffic hotspots, The positional information of the weighted center of the positional information of the weighted center of first traffic hotspots and second traffic hotspots, updates the positional information of the portfolio of new first traffic hotspots and the weighted center of new first traffic hotspots.

With reference to first aspect and above-mentioned possible implementation, in alternatively possible implementation, the portfolio of at least one grid described in the acquisition, including：

If the portfolio of at least one grid is less than the first portfolio, the portfolio of at least one grid is set to first portfolio；

If the portfolio of at least one grid is more than the second portfolio, the portfolio of at least one grid is set to second portfolio；

Wherein, first portfolio is the grid minimal service amount pre-set, and second portfolio is the grid traffic peak pre-set.

It is described that at least one described traffic hotspots are divided to the packet of at least one focus in alternatively possible implementation with reference to first aspect and above-mentioned possible implementation, including：

According to the order that the portfolio of at least one traffic hotspots is descending, with reference to the distribution of the weighted center of at least one traffic hotspots, at least one initialization weighted center is determined at least one described traffic hotspots weighted center, the quantity of the initialization weighted center is identical with the default website quantity；At least one described traffic hotspots include the first traffic hotspots；

Shelter states the weighted center of the first traffic hotspots to the distance and the first parameter of at least one initialization weighted center, using the cost distance of the weighted center of the first traffic hotspots described in default cost function calculation at least one initialization weighted center described in；First parameter includes：Path loss and at least one in the Signal Interference and Noise Ratio SINR that receives signal of the weighted center of first traffic hotspots at least one initialization weighted center；

The obtained cost will be calculated in, the focus packet that first traffic hotspots are belonged to is defined as apart from corresponding initialization weighted center according to the ascending primary cost that is arranged sequentially.

With reference to first aspect and above-mentioned possible implementation, in alternatively possible realization side In formula, the portfolio of first traffic hotspots is the portfolio of the first grid and the portfolio sum of the second grid；

The positional information of the weighted center of the portfolio of at least one grid and at least one grid described in the basis, calculates the positional information of the weighted center of at least one traffic hotspots, specifically includes：

The positional information of the weighted center of the first traffic hotspots according to the positional information calculation of the weighted center of the portfolio of first grid, the positional information of the weighted center of first grid, the portfolio of second grid and second grid.

With reference to first aspect and above-mentioned possible implementation, in alternatively possible implementation, the positional information for the weighted center that the portfolio and first focus that the portfolio of each traffic hotspots in being grouped according to first focus and the positional information of weighted center obtain the first focus packet are grouped, including：

The portfolio of each traffic hotspots in being grouped according to first focus calculates the portfolio that first focus is grouped, and the portfolio of the first focus packet is the portfolio sum of each traffic hotspots during first focus is grouped；

The positional information for the weighted center that first focus described in the portfolio of each traffic hotspots and the positional information calculation of weighted center in being grouped according to first focus is grouped.

With reference to first aspect and above-mentioned possible implementation, described that at least one described traffic hotspots are divided into the packet of at least one focus in alternatively possible implementation, at least one focus packet includes the packet of the first focus, in addition to：

The distance and the second parameter for the weighted center being grouped according to the weighted center of first traffic hotspots at least one described focus, the cost distance for the weighted center being grouped using the weighted center of the first traffic hotspots described in the default cost function calculation at least one described focus；Second parameter includes：At least one of in the path loss for the weighted center that the weighted center of the traffic hotspots is grouped to first focus and the SINR of reception signal；The obtained cost will be calculated in, redefined according to the ascending primary cost that is arranged sequentially apart from the weighted center that the corresponding focus is grouped as the packet-weighted center of first traffic hotspots；

The packet-weighted center of first traffic hotspots redefined is occupied, updates described The positional information of the weighted center for the focus packet that first traffic hotspots are belonged to.With reference to first aspect and above-mentioned possible implementation, in alternatively possible implementation, it is described that website is set at the weighted center that first focus is grouped, with reference to the number of sectors or number of cells in the default website, the portfolio being grouped according to first focus, the antenna works parameter of the website is adjusted, including：

Website is set at the weighted center that first focus is grouped；

According to the number of sectors or number of cells in the default website, first focus packet is divided at least one sub- focus and is grouped, and obtain in the portfolio of the sub- focus packet and the weighting of sub- focus packet ' ^ positional information；

The antenna works parameter of the website is adjusted, so that the main lobe of the antenna points to the weighted center of the sub- focus packet.

The second aspect of the embodiment of the present invention, also provides a kind of network optimized approach based on service distribution, including：

The service distribution figure in region to be optimized is obtained, the service distribution figure includes the distribution of traffic situation in the region to be optimized；

The service distribution figure is carried out by rasterizing processing according to default rasterizing precision and obtains at least one grid, at least one described grid at least one traffic hotspots is aggregated into, and obtain the positional information of the weighted center of at least one traffic hotspots；

According to the quantity and positional information of existing website, with reference to the positional information of the weighted center of at least one traffic hotspots, at least one described traffic hotspots are divided to the packet of at least one focus, and obtain the portfolio of at least one focus packet；At least one focus packet includes the packet of the first focus；

With reference to the number of sectors or number of cells in the default existing website, the portfolio being grouped according to first focus adjusts the antenna works parameter of the existing website.

With reference to second aspect, in a kind of possible implementation, the service distribution figure for obtaining region to be optimized, including：

Distribution of traffic situation in the region to be optimized is obtained by MDT, and generates the service distribution figure；

Or, Distribution of traffic situation in the region to be optimized is obtained by the MDT；With reference to the distribution of traffic situation after the distribution of traffic situation in the region to be optimized obtained and the region preset time to be optimized of prediction, the service distribution figure is generated.

With reference to second aspect and above-mentioned possible implementation, in alternatively possible implementation, it is described that service distribution figure progress rasterizing processing is obtained by least one grid according to default rasterizing precision, at least one described grid is aggregated into at least one traffic hotspots, and the positional information of the weighted center of at least one traffic hotspots is obtained, including：The service distribution figure is carried out by rasterizing processing according to the default rasterizing precision, at least one described grid is obtained；

Obtain the positional information of the portfolio of at least one grid and the weighted center of at least one grid；

At least one traffic hotspots according to the positional information of the weighted center of at least one grid aggregates at least one described grid；

According to the portfolio and the positional information of weighted center of each grid included at least one described traffic hotspots, the positional information of the portfolio of at least one traffic hotspots and the weighted center of at least one traffic hotspots is calculated.

With reference to second aspect and above-mentioned possible implementation, in alternatively possible implementation, at least one described grid includes the first grid and the second grid；At least one described traffic hotspots include the first traffic hotspots；

At least one traffic hotspots according to the positional information of the weighted center of at least one grid aggregates at least one described grid, are specifically included：

If the distance between weighted center of the weighted center of first grid and second grid is less than first threshold, first grid and second grid are aggregated into first traffic hotspots；

According to the portfolio and the positional information of weighted center of each grid included at least one described traffic hotspots, the positional information of the portfolio of at least one traffic hotspots and the weighted center of at least one traffic hotspots is calculated, is specifically included：

Believed according to the position of the weighted center of the portfolio of first grid, the portfolio of second grid, the positional information of the weighted center of the-grid and second grid Breath calculates the positional information of the portfolio of first traffic hotspots and the weighted center of first traffic hotspots.

With reference to second aspect and above-mentioned possible implementation, in alternatively possible implementation, at least one described grid also includes the 3rd grid；

If the distance between the weighted center of first traffic hotspots and the weighted center of the 3rd grid are less than the first threshold, first traffic hotspots and the 3rd grid are aggregated into new first traffic hotspots；

And/or；At least one described traffic hotspots also include the second traffic hotspots；

If the distance between the weighted center of first traffic hotspots and the weighted center of the second traffic hotspots are less than the first threshold, first traffic hotspots and second traffic hotspots are aggregated into new first traffic hotspots；

According to the positional information of the weighted center of the portfolio of first traffic hotspots, the portfolio of second traffic hotspots, the positional information of the weighted center of first traffic hotspots and second traffic hotspots, the positional information of the portfolio of new first traffic hotspots and the weighted center of new first traffic hotspots is updated.

With reference to second aspect and above-mentioned possible implementation, in alternatively possible implementation, the portfolio of at least one grid described in the acquisition, including：

Wherein, first portfolio is the grid minimal service amount pre-set, and second portfolio is the grid traffic peak pre-set. With reference to second aspect and above-mentioned possible implementation, in alternatively possible implementation, the quantity and positional information of the existing website of the basis, with reference to the positional information of the weighted center of at least one traffic hotspots, at least one described traffic hotspots are divided to the packet of at least one focus, including：

According to the distance and the first parameter of the weighted center of first traffic hotspots to the existing website, using the weighted center of the first traffic hotspots described in default cost function calculation to the existing cost distance of website at least one described；First parameter includes：Path loss and at least one in the SINR that receives signal of the weighted center of first traffic hotspots to the existing website；

The obtained cost will be calculated in, the focus packet that first traffic hotspots are belonged to is defined as apart from the corresponding existing website according to the ascending primary cost that is arranged sequentially.

With reference to second aspect and above-mentioned possible implementation, in alternatively possible implementation, the portfolio that at least one focus described in the acquisition is grouped, including：

The portfolio of each traffic hotspots in being grouped according to first focus calculates the portfolio that first focus is grouped, and the portfolio of the first focus packet is the portfolio sum of each traffic hotspots during first focus is grouped.

With reference to second aspect and above-mentioned possible implementation, in alternatively possible implementation, number of sectors or number of cells in the default existing website of combination, the portfolio being grouped according to first focus, the antenna works parameter of the adjustment existing website, including：

According to the number of sectors or number of cells in the default existing website, first focus packet is divided at least one sub- focus and is grouped, and obtain the positional information of the portfolio of the sub- focus packet and the weighted center of sub- focus packet；

The third aspect of the embodiment of the present invention, also provides a kind of network planning device based on service distribution, including：

Acquiring unit, obtains the service distribution figure of area to be planned, the service distribution figure bag Include the distribution of traffic situation in the area to be planned；

Polymerized unit, the service distribution figure for being obtained the acquiring unit according to default rasterizing precision carries out rasterizing processing and obtains at least one grid, and at least one described grid is aggregated into at least one traffic hotspots；

Grouped element, for by the polymerized unit polymerization obtain described at least one traffic hotspots be divided at least one focus packet, at least one focus packet includes the packet of the first focus, and the quantity of the focus packet is equal with default website quantity；

The acquiring unit, the positional information for the weighted center that the portfolio and first focus that the portfolio of each traffic hotspots and the positional information of weighted center being additionally operable in being grouped according to first focus that grouped element packet is obtained obtain the first focus packet are grouped；

Adjustment unit, website is set at weighted center for first focus packet obtained in the acquiring unit, and with reference to the number of sectors or number of cells in the default website, the portfolio that first focus obtained according to the acquiring unit is grouped, the adjustment station, * antenna works parameter.

With reference to the third aspect, in a kind of possible implementation, the acquiring unit is additionally operable to obtain the distribution of traffic situation in the area to be planned by MDT, and generate the service distribution figure；

Or,

The acquiring unit, is additionally operable to obtain the distribution of traffic situation in the area to be planned by the MDT；With reference to the distribution of traffic situation after the distribution of traffic situation in the area to be planned obtained and the area to be planned preset time of prediction, the service distribution figure is generated.

With reference to the third aspect and above-mentioned possible implementation, in alternatively possible implementation, the polymerized unit, including：

Grid module, the service distribution figure for being obtained the acquiring unit according to the default rasterizing precision carry out rasterizing processing obtain described at least one grid；

Acquisition module, for obtain the grid module obtain described at least one grid weighted center positional information； Aggregation module, for according to the acquisition module obtain described at least one grid weighted center positional information at least one described grid is aggregated into described at least one traffic hotspots.

With reference to the third aspect and above-mentioned possible implementation, in alternatively possible implementation, the acquisition module, it is additionally operable to after service distribution figure progress rasterizing processing to be obtained to the polymerized unit at least one grid according to default rasterizing precision, obtains the portfolio of at least one grid；

The polymerized unit, in addition to：

First computing module, for the portfolio and the positional information of weighted center of each grid included at least one traffic hotspots according to acquisition module acquisition, the positional information of the portfolio of at least one traffic hotspots and the weighted center of at least one traffic hotspots is calculated.

With reference to the third aspect and above-mentioned possible implementation, in alternatively possible implementation, at least one described grid includes the first grid and the second grid；At least one described traffic hotspots include the first traffic hotspots；

The aggregation module, if being additionally operable to the distance between the weighted center of first grid and the weighted center of second grid less than first threshold, first traffic hotspots are aggregated into by first grid and second grid.

With reference to the third aspect and above-mentioned possible implementation, in alternatively possible implementation, at least one described grid also includes the 3rd grid；

The aggregation module, it is additionally operable to aggregate into after first traffic hotspots by first grid and second grid, if the distance between weighted center of the weighted center of first traffic hotspots and the 3rd grid is less than the first threshold, first traffic hotspots and the 3rd grid are aggregated into new first traffic hotspots；

First computing module, the positional information of the weighted center of portfolio according to first traffic hotspots, the portfolio of the 3rd grid, the positional information of the weighted center of first traffic hotspots and the 3rd grid is additionally operable to, the positional information of the portfolio of new first traffic hotspots and the weighted center of new first traffic hotspots is updated； And/or；

The aggregation module, it is additionally operable to aggregate into after first traffic hotspots by first grid and second grid, if the distance between the weighted center of first traffic hotspots and the weighted center of second traffic hotspots are less than the first threshold, first traffic hotspots and second traffic hotspots are aggregated into new first traffic hotspots；

First computing module, the positional information of the weighted center of portfolio according to first traffic hotspots, the portfolio of second traffic hotspots, the positional information of the weighted center of first traffic hotspots and second traffic hotspots is additionally operable to, the positional information of the portfolio of new first traffic hotspots and the weighted center of new first traffic hotspots is updated.

With reference to the third aspect and above-mentioned possible implementation, in alternatively possible implementation, the acquisition module, if the portfolio for being additionally operable at least one grid is less than the first portfolio, first portfolio is set to by the portfolio of at least one grid；If the portfolio of at least one grid is more than the second portfolio, the portfolio of at least one grid is set to second portfolio；Wherein, first portfolio is the grid minimal service amount pre-set, and second portfolio is the grid traffic peak pre-set.

With reference to the third aspect and above-mentioned possible implementation, in alternatively possible implementation, the grouped element, including：

Determining module, the descending order of portfolio at least one traffic hotspots described in being obtained according to the polymerized unit, with reference to the distribution of the weighted center of at least one traffic hotspots, at least one initialization weighted center is determined at least one described traffic hotspots weighted center, the quantity of the initialization weighted center is identical with the default website quantity；At least one described traffic hotspots include the first traffic hotspots；

Second computing module, for the distance and the first parameter of the weighted center according to first traffic hotspots at least one initialization weighted center, using at least one described in the weighted center to determining module determination of the first traffic hotspots described in default cost function calculation The cost distance of individual initialization weighted center；First parameter includes：Path loss and at least one in the Signal Interference and Noise Ratio SINR that receives signal of the weighted center of first traffic hotspots at least one initialization weighted center；

The determining module, it is additionally operable to calculate second computing module in obtained cost distance, the focus packet that first traffic hotspots are belonged to is defined as apart from corresponding initialization weighted center according to the ascending primary cost that is arranged sequentially.

With reference to the third aspect and above-mentioned possible implementation, in alternatively possible implementation, the portfolio of first traffic hotspots is the portfolio of the first grid and the portfolio sum of the second grid；

First computing module, the positional information of the weighted center of the first traffic hotspots described in the positional information calculation for the weighted center for being additionally operable to portfolio according to first grid, the positional information of the weighted center of first grid, the portfolio of second grid and second grid.

With reference to the third aspect and above-mentioned possible implementation, in alternatively possible implementation, the acquiring unit, the portfolio for each traffic hotspots being additionally operable in being grouped according to first focus calculates the portfolio that first focus is grouped, and the portfolio of the first focus packet is the portfolio sum of each traffic hotspots during first focus is grouped；The positional information for the weighted center that first focus described in the portfolio of each traffic hotspots and the positional information calculation of weighted center in being grouped according to first focus is grouped.

With reference to the third aspect and above-mentioned possible implementation, in alternatively possible implementation, second computing module, it is additionally operable to the distance and the second parameter of weighted center being grouped according to the weighted center of first traffic hotspots at least one described focus, the cost distance for the weighted center being grouped using the weighted center of the first traffic hotspots described in the default cost function calculation at least one described focus；Second parameter includes：At least one of in the path loss for the weighted center that the weighted center of the traffic hotspots is grouped to first focus and the SINR of reception signal；

The determining module, it is additionally operable to calculate second computing module in obtained cost distance, is redefined according to the ascending primary cost that is arranged sequentially apart from the weighted center that the corresponding focus is grouped as the packet of first traffic hotspots Weighted center；

The grouped element, in addition to：

Update module, for the packet-weighted center of first traffic hotspots redefined according to the determining module, updates the positional information of the weighted center for the focus packet that first traffic hotspots are belonged to.

With reference to the third aspect and above-mentioned possible implementation, in alternatively possible implementation, the adjustment unit, including：

Website is set at setup module, the weighted center for first focus packet obtained in the acquiring unit；

Division module, for according to the number of sectors or number of cells in the default website, first focus packet is divided at least one sub- focus packet, and obtains the positional information of the portfolio of the sub- focus packet and the weighted center of sub- focus packet；

Adjusting module, the antenna works parameter for adjusting the website, so that the main lobe of the antenna points to the weighted center for the sub- focus packet that the division module is obtained.

The fourth aspect of the embodiment of the present invention, also provides a kind of network optimization device based on service distribution, including：

Acquiring unit, the service distribution figure for obtaining region to be optimized, the service distribution figure includes the distribution of traffic situation in the region to be optimized；

Polymerized unit, the service distribution figure for being obtained the acquiring unit according to default rasterizing precision carries out rasterizing processing and obtains at least one grid, at least one described grid is aggregated into at least one traffic hotspots, and obtains the positional information of the weighted center of at least one traffic hotspots；

Grouped element, for the quantity and positional information according to existing website, the positional information of the weighted center of at least one traffic hotspots with reference to described in being obtained the polymerized unit, at least one described traffic hotspots are divided to the packet of at least one focus, and obtain the portfolio of at least one focus packet；At least one focus packet includes the packet of the first focus；Adjustment unit, for reference to the number of sectors or number of cells in the default existing website, the portfolio that first focus obtained according to the grouped element is grouped to be adjusted The antenna works parameter of the whole existing website.

With reference to fourth aspect, in a kind of possible implementation, the acquiring unit is additionally operable to obtain the distribution of traffic situation in the region to be optimized by MDT, and generate the service distribution figure；

The acquiring unit, is additionally operable to obtain the distribution of traffic situation in the region to be optimized by the MDT；With reference to the distribution of traffic situation after the distribution of traffic situation in the region to be optimized obtained and the region preset time to be optimized of prediction, the service distribution figure is generated.

With reference to fourth aspect and above-mentioned possible implementation, in alternatively possible implementation, the polymerized unit, including：

Grid module, for the service distribution figure to be carried out into rasterizing processing according to the default rasterizing precision, obtains at least one described grid；

Acquisition module, the positional information for obtaining the portfolio at least one grid that the grid module is obtained and the weighted center of at least one grid；

Aggregation module, for according to the acquisition module obtain described at least one grid weighted center positional information at least one described grid is aggregated into described at least one traffic hotspots；

First computing module, for polymerize according to the aggregation module obtain described in the portfolio and the positional information of weighted center of each grid that include at least one traffic hotspots, calculate the positional information of the portfolio of at least one traffic hotspots and the weighted center of at least one traffic hotspots.

With reference to fourth aspect and above-mentioned possible implementation, in alternatively possible implementation, at least one described grid includes the first grid and the second grid；At least one described traffic hotspots include the first traffic hotspots；

The aggregation module, if being additionally operable to the distance between the weighted center of first grid and the weighted center of second grid less than first threshold, first traffic hotspots are aggregated into by first grid and second grid；

First computing module, is additionally operable to portfolio, the portfolio of second grid, the positional information of the weighted center of first grid and described according to first grid The positional information of the weighted center of the portfolio of first traffic hotspots described in the positional information calculation of the weighted center of two grids and first traffic hotspots.

With reference to fourth aspect and above-mentioned possible implementation, in alternatively possible implementation, at least one described grid also includes the 3rd grid；

The aggregation module, it is additionally operable to aggregate into after first traffic hotspots by first grid and second grid, if the distance between the weighted center of first traffic hotspots and the weighted center of the 3rd grid are less than the first threshold, first traffic hotspots and the 3rd grid are aggregated into new first traffic hotspots；

The polymerized unit, in addition to：

Update module, for the positional information of the weighted center of the portfolio according to first traffic hotspots, the portfolio of the 3rd grid, the positional information of the weighted center of first traffic hotspots and the 3rd grid, the positional information of the portfolio of new first traffic hotspots and the weighted center of new first traffic hotspots is updated；

The aggregation module, it is additionally operable to aggregate into after first traffic hotspots by first grid and second grid, if the distance between the weighted center of first traffic hotspots and the weighted center of the second traffic hotspots are less than the first threshold, first traffic hotspots and second traffic hotspots are aggregated into new first traffic hotspots；The update module, the positional information of the weighted center of portfolio according to first traffic hotspots, the portfolio of second traffic hotspots, the positional information of the weighted center of first traffic hotspots and second traffic hotspots is additionally operable to, the positional information of the portfolio of new first traffic hotspots and the weighted center of new first traffic hotspots is updated.

With reference to fourth aspect and above-mentioned possible implementation, in alternatively possible implementation, the acquisition module, if the portfolio for being additionally operable at least one grid is less than the first portfolio, first portfolio is set to by the portfolio of at least one grid；If the portfolio of at least one grid is more than the second portfolio, the portfolio of at least one grid is set to second portfolio；

Wherein, first portfolio is the grid minimal service amount pre-set, described Two portfolios are the grid traffic peak pre-set.

With reference to fourth aspect and above-mentioned possible implementation, in alternatively possible implementation, the grouped element, including：

Second computing module, for the distance and the first parameter of the weighted center according to first traffic hotspots to the existing website, using the weighted center of the first traffic hotspots described in default cost function calculation to the existing cost distance of website at least one described；First parameter includes：Path loss and at least one in the SINR that receives signal of the weighted center of first traffic hotspots to the existing website；

Determining module, for second computing module to be calculated in obtained cost distance, according to by ' ", to it is big be arranged sequentially the primary cost and be defined as the focus that first traffic hotspots are belonged to apart from the corresponding existing website be grouped.

With reference to fourth aspect and above-mentioned possible implementation, in alternatively possible implementation, second computing module, the portfolio for each traffic hotspots being additionally operable in being grouped according to first focus calculates the portfolio that first focus is grouped, and the portfolio of the first focus packet is the portfolio sum of each traffic hotspots during first focus is grouped.

With reference to fourth aspect and above-mentioned possible implementation, in alternatively possible implementation, the adjustment unit, including：

Division module, for according to the number of sectors or number of cells in the default existing website, first focus packet is divided at least one sub- focus packet, and obtain in the portfolio of the sub- focus packet and the weighting of sub- focus packet ' ^ positional information；Adjusting module, the antenna works parameter for adjusting the website, so that the main lobe of the antenna points to the weighted center that the division module divides the obtained sub- focus packet.

5th aspect of the embodiment of the present invention, also provides a kind of network planning device based on service distribution, including：

Processor, the service distribution figure for obtaining area to be planned, the service distribution figure includes the distribution of traffic situation in the area to be planned；

Memory, for storing the service distribution figure that the processor is obtained； The processor, is additionally operable to that service distribution figure progress rasterizing processing is obtained at least one grid according to default rasterizing precision, at least one described grid is aggregated into at least one traffic hotspots；At least one described traffic hotspots are divided to the packet of at least one focus, at least one focus packet includes the packet of the first focus, and the quantity of the focus packet is equal with default website quantity；The positional information for the weighted center that the portfolio and first focus that the portfolio of each traffic hotspots in being grouped according to first focus and the positional information of weighted center obtain the first focus packet are grouped；

The memory, is additionally operable to store the positional information of the portfolio for first focus packet that the processor is obtained and the weighted center of first focus packet；

The processor, it is additionally operable at the weighted center of first focus packet set website, and with reference to the number of sectors or number of cells in the default website, the portfolio being grouped according to first focus adjusts the antenna works parameter of the website.

With reference to the 5th aspect, in a kind of possible implementation, the processor is additionally operable to obtain the distribution of traffic situation in the area to be planned by MDT, and generate the service distribution figure；

Or,

The processor, is additionally operable to obtain the distribution of traffic situation in the area to be planned by the MDT；With reference to the distribution of traffic situation after the distribution of traffic situation in the area to be planned obtained and the area to be planned preset time of prediction, the service distribution figure is generated.

With reference to the 5th aspect and above-mentioned possible implementation, in alternatively possible implementation, the processor is additionally operable at least one grid according to the default rasterizing precision obtains service distribution figure progress rasterizing processing；Obtain the positional information of the weighted center of at least one grid；At least one traffic hotspots according to the positional information of the weighted center of at least one grid aggregates at least one described grid.

With reference to the 5th aspect and above-mentioned possible implementation, in alternatively possible implementation, the processor, it is additionally operable to after service distribution figure progress rasterizing processing to be obtained at least one grid according to default rasterizing precision, the portfolio of at least one grid is obtained, and according to each grid included at least one described traffic hotspots The positional information of portfolio and weighted center, calculates the positional information of the portfolio of at least one traffic hotspots and the weighted center of at least one traffic hotspots.

With reference to the 5th aspect and above-mentioned possible implementation, in alternatively possible implementation, at least one described grid includes the first grid and the second grid；At least one described traffic hotspots include the first traffic hotspots；

The processor, if being additionally operable to the distance between the weighted center of first grid and the weighted center of second grid less than first threshold, first traffic hotspots are aggregated into by first grid and second grid.

With reference to the 5th aspect and above-mentioned possible implementation, in alternatively possible implementation, at least one described grid also includes the 3rd grid；

The processor, it is additionally operable to aggregate into after first traffic hotspots by first grid and second grid, if the distance between weighted center of the weighted center of first traffic hotspots and the 3rd grid is less than the first threshold, first traffic hotspots and the 3rd grid are aggregated into new first traffic hotspots；According to the positional information of the weighted center of the portfolio of first traffic hotspots, the portfolio of the 3rd grid, the positional information of the weighted center of first traffic hotspots and the 3rd grid, the positional information of the portfolio of new first traffic hotspots and the weighted center of new first traffic hotspots is updated；

The processor, it is additionally operable to aggregate into after first traffic hotspots by first grid and second grid, if the distance between the weighted center of first traffic hotspots and the weighted center of second traffic hotspots are less than the first threshold, first traffic hotspots and second traffic hotspots are aggregated into new first traffic hotspots；According to the positional information of the weighted center of the portfolio of first traffic hotspots, the portfolio of second traffic hotspots, the positional information of the weighted center of first traffic hotspots and second traffic hotspots, the positional information of the portfolio of new first traffic hotspots and the weighted center of new first traffic hotspots is updated.

With reference to the 5th aspect and above-mentioned possible implementation, in alternatively possible implementation, the processor, if the portfolio for being additionally operable at least one grid is less than first Portfolio, then be set to first portfolio by the portfolio of at least one grid；If the portfolio of at least one grid is more than the second portfolio, the portfolio of at least one grid is set to second portfolio；Wherein, first portfolio is the grid minimal service amount pre-set, and second portfolio is the grid traffic peak pre-set.

With reference to the 5th aspect and above-mentioned possible implementation, in alternatively possible implementation, the processor, it is additionally operable to according to the descending order of the portfolio of at least one traffic hotspots, with reference to the distribution of the weighted center of at least one traffic hotspots, at least one initialization weighted center is determined at least one described traffic hotspots weighted center, the quantity of the initialization weighted center is identical with the default website quantity；At least one described traffic hotspots include the first traffic hotspots；According to the distance and the first parameter of the weighted center of first traffic hotspots at least one initialization weighted center, using the cost distance of the weighted center of the first traffic hotspots described in default cost function calculation at least one initialization weighted center described in；First parameter includes：Path loss and at least one in the Signal Interference and Noise Ratio SINR that receives signal of the weighted center of first traffic hotspots at least one initialization weighted center；The obtained cost will be calculated in, the focus packet that first traffic hotspots are belonged to is defined as apart from corresponding initialization weighted center according to by d, to the big primary cost that is arranged sequentially.

With reference to the 5th aspect and above-mentioned possible implementation, in alternatively possible implementation, the portfolio of first traffic hotspots is the portfolio of the first grid and the portfolio sum of the second grid；

The processor, the positional information of the weighted center of the first traffic hotspots described in the positional information calculation for the weighted center for being additionally operable to portfolio according to first grid, the positional information of the weighted center of first grid, the portfolio of second grid and second grid.

With reference to the 5th aspect and above-mentioned possible implementation, in alternatively possible implementation, the processor, the portfolio for each traffic hotspots being additionally operable in being grouped according to first focus calculates the portfolio that first focus is grouped, and the portfolio of the first focus packet is the portfolio sum of each traffic hotspots during first focus is grouped； The positional information for the weighted center that first focus described in the portfolio of each traffic hotspots and the positional information calculation of weighted center in being grouped according to first focus is grouped.

With reference to the 5th aspect and above-mentioned possible implementation, in alternatively possible implementation, the processor, it is additionally operable to the distance and the second parameter of weighted center being grouped according to the weighted center of first traffic hotspots at least one described focus, the cost distance for the weighted center being grouped using the weighted center of the first traffic hotspots described in the default cost function calculation at least one described focus；Second parameter includes：The path loss for the weighted center that the weighted center of the traffic hotspots is grouped to first focus and reception signal

At least one of in SINR；The obtained cost will be calculated in, redefined according to the ascending primary cost that is arranged sequentially apart from the weighted center that the corresponding focus is grouped as the packet-weighted center of first traffic hotspots；Just the packet-weighted center for first traffic hotspots that blunt evidence is redefined, updates the positional information of the weighted center for the focus packet that first traffic hotspots are belonged to.

With reference to the 5th aspect and above-mentioned possible implementation, in alternatively possible implementation, the processor is additionally operable at the weighted center of first focus packet set website；According to the number of sectors or number of cells in the default website, first focus packet is divided at least one sub- focus and is grouped, and obtain the positional information of the portfolio of the sub- focus packet and the weighted center of sub- focus packet；The antenna works parameter of the website is adjusted, so that the main lobe of the antenna points to the weighted center of the sub- focus packet.

6th aspect of the embodiment of the present invention, also provides a kind of network optimization device based on service distribution, including：

Processor, the service distribution figure for obtaining region to be optimized, the service distribution figure includes the distribution of traffic situation in the region to be optimized；

Memory, for storing the service distribution figure that the processor is obtained；The processor, it is additionally operable to that service distribution figure progress rasterizing processing is obtained at least one grid according to default rasterizing precision, at least one described grid is aggregated into at least one traffic hotspots, and obtains the positional information of the weighted center of at least one traffic hotspots； The memory, is additionally operable to store the positional information of the weighted center at least one traffic hotspots that the processor is obtained；

The processor, it is additionally operable to the quantity and positional information according to existing website, with reference to the positional information of the weighted center of at least one traffic hotspots, at least one described traffic hotspots are divided to the packet of at least one focus, and obtain the portfolio of at least one focus packet；At least one focus packet includes the packet of the first focus；

The memory, is additionally operable to store the portfolio at least one described focus packet that the processor is obtained；

The processor, is additionally operable to reference to the number of sectors or number of cells in the default existing website, the portfolio being grouped according to first focus adjusts the antenna works parameter of the existing website.

With reference to the 6th aspect, in a kind of possible implementation, the processor is additionally operable to obtain the distribution of traffic situation in the region to be optimized by MDT, and generate the service distribution figure；Or,

The processor, is additionally operable to obtain the distribution of traffic situation in the region to be optimized by the MDT；With reference to the distribution of traffic situation after the distribution of traffic situation in the region to be optimized obtained and the region preset time to be optimized of prediction, the service distribution figure is generated.

With reference to the 6th side aspect and above-mentioned possible implementation, in alternatively possible implementation, the processor is additionally operable to that the service distribution figure is carried out into rasterizing processing according to the default rasterizing precision, obtains at least one described grid；Obtain the positional information of the portfolio of at least one grid and the weighted center of at least one grid；At least one traffic hotspots according to the positional information of the weighted center of at least one grid aggregates at least one described grid；Shelter states the portfolio of each grid included at least one traffic hotspots and the positional information of weighted center, calculates the positional information of the portfolio of at least one traffic hotspots and the weighted center of at least one traffic hotspots.

With reference to the 6th side aspect and above-mentioned possible implementation, in alternatively possible implementation, at least one described grid includes the first grid and the second grid；At least one described traffic hotspots include the first traffic hotspots； The processor, if being additionally operable to the distance between the weighted center of first grid and the weighted center of second grid less than first threshold, first traffic hotspots are aggregated into by first grid and second grid；According to the portfolio and the positional information of weighted center of each grid included at least one described traffic hotspots, the positional information of the portfolio of at least one traffic hotspots and the weighted center of at least one traffic hotspots is calculated, is specifically included：The positional information of the weighted center of the portfolio of the first traffic hotspots and first traffic hotspots according to the positional information calculation of the weighted center of the portfolio of first grid, the portfolio of second grid, the positional information of the weighted center of first grid and second grid.If the distance between the weighted center of first traffic hotspots and the weighted center of the 3rd grid are less than the first threshold, first traffic hotspots and the 3rd grid are then aggregated into new first traffic hotspots, and according to the portfolio of first traffic hotspots, the positional information of the weighted center of first traffic hotspots, the portfolio of 3rd grid, with the positional information of the weighted center of the 3rd grid, calculate the positional information of the portfolio of new first traffic hotspots and the weighted center of first traffic hotspots newly；

With reference to the 6th side aspect and above-mentioned possible implementation, in alternatively possible implementation, at least one described grid also includes the 3rd grid；

The processor, if being additionally operable to the distance between the weighted center of first traffic hotspots and the weighted center of the 3rd grid less than the first threshold, first traffic hotspots and the 3rd grid are aggregated into new first traffic hotspots；According to the positional information of the weighted center of the portfolio of first traffic hotspots, the portfolio of the 3rd grid, the positional information of the weighted center of first traffic hotspots and the 3rd grid, the positional information of the portfolio of new first traffic hotspots and the weighted center of new first traffic hotspots is updated；

The processor, if being additionally operable to the distance between the weighted center of first traffic hotspots and the weighted center of the second traffic hotspots less than the first threshold, first traffic hotspots and second traffic hotspots are aggregated into new first traffic hotspots；According to the portfolio of the first traffic hotspots, portfolio of second traffic hotspots, described The positional information of the weighted center of the positional information of the weighted center of first traffic hotspots and second traffic hotspots, updates the positional information of the portfolio of new first traffic hotspots and the weighted center of new first traffic hotspots.

With reference to the 6th side aspect and above-mentioned possible implementation, in alternatively possible implementation, the processor, if the portfolio for being additionally operable at least one grid is less than the first portfolio, first portfolio is set to by the portfolio of at least one grid；If the portfolio of at least one grid is more than the second portfolio, the portfolio of at least one grid is set to second portfolio；

With reference to the 6th side aspect and above-mentioned possible implementation, in alternatively possible implementation, the processor, distance and the first parameter to the existing website according to the weighted centers of first traffic hotspots are additionally operable to, using the weighted center of the first traffic hotspots described in default cost function calculation to the existing cost distance of website at least one described；First parameter includes：Path loss and at least one in the SINR that receives signal of the weighted center of first traffic hotspots to the existing website；The obtained cost will be calculated in, the focus packet that first traffic hotspots are belonged to is defined as apart from the corresponding existing website according to the ascending primary cost that is arranged sequentially.

With reference to the 6th side aspect and above-mentioned possible implementation, in alternatively possible implementation, the processor, the portfolio for each traffic hotspots being additionally operable in being grouped according to first focus calculates the portfolio that first focus is grouped, and the portfolio of the first focus packet is the portfolio sum of each traffic hotspots during first focus is grouped.

With reference to the 6th side aspect and above-mentioned possible implementation, in alternatively possible implementation, the processor, it is additionally operable to according to the number of sectors or number of cells in the default existing website, first focus packet is divided at least one sub- focus packet, and obtains the positional information of the portfolio of the sub- focus packet and the weighted center of sub- focus packet；The antenna works parameter of the website is adjusted, so that the main lobe of the antenna points to the weighted center of the sub- focus packet. The network planning provided in an embodiment of the present invention based on service distribution, optimization method and device, obtain the service distribution figure of area to be planned；Service distribution figure is carried out by rasterizing processing according to default rasterizing precision and obtains at least one grid, at least one grid is aggregated into at least one traffic hotspots；At least one traffic hotspots is divided to the packet of at least one focus, the packet of at least one focus includes the packet of the first focus；The positional information for the weighted center that the portfolio and first focus that the portfolio of each traffic hotspots in being grouped according to the first focus and the positional information of weighted center obtain the packet of the first focus are grouped；Website is set at the weighted center that the first focus is grouped, and combines the number of sectors or number of cells in default website, the portfolio being grouped according to the first focus adjusts the antenna works parameter of website.With prior art when carrying out the planning or optimization of wireless network, only for the purpose of the network coverage, it is not intended that the business demand of the cell of each in network area is compared, website can be disposed according to the service distribution situation of area to be planned, and adjust the antenna works parameter of website, and then the waste of resource can be avoided, while improving Consumer's Experience.Brief description of the drawings

In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, the required accompanying drawing used in embodiment or description of the prior art will be briefly described below, apparently, drawings in the following description are only some embodiments of the present invention, for those of ordinary skill in the art, without having to pay creative labor, other accompanying drawings can also be obtained according to these accompanying drawings.

Fig. 1 is a kind of network plan method flow chart based on service distribution in the embodiment of the present invention 1；

Fig. 2 is a kind of network optimized approach flow chart based on service distribution in the embodiment of the present invention 2；

Fig. 3 is another network optimized approach flow chart based on service distribution in the embodiment of the present invention 2；

Fig. 4 is a kind of network plan method flow chart based on service distribution in the embodiment of the present invention 3；

Fig. 5 is the service distribution figure example after a rasterizing in the embodiment of the present invention；The first traffic hotspots that Fig. 6 is obtained after polymerizeing for a grid in the embodiment of the present invention Distribution map example；

Fig. 7 is first focus packet distribution map example in the embodiment of the present invention；Fig. 8 be the embodiment of the present invention 4 in a kind of network planning device based on service distribution composition schematic diagram；

Fig. 9 be the embodiment of the present invention 4 in another network planning device based on service distribution composition schematic diagram；

Figure 10 be the embodiment of the present invention 4 in another network planning device based on service distribution composition schematic diagram；

Fig. 11 be the embodiment of the present invention 4 in another network planning device based on service distribution composition schematic diagram；

Figure 12 be the embodiment of the present invention 5 in another network optimization device based on service distribution composition schematic diagram；

Figure 13 be the embodiment of the present invention 5 in another network optimization device based on service distribution composition schematic diagram；

Figure 14 be the embodiment of the present invention 5 in another network optimization device based on service distribution composition schematic diagram；

Figure 15 be the embodiment of the present invention 5 in another network optimization device based on service distribution composition schematic diagram；

Figure 16 be the embodiment of the present invention 6 in another network planning device based on service distribution composition schematic diagram；

Figure 17 be the embodiment of the present invention 7 in a kind of network optimization device based on service distribution composition schematic diagram.Embodiment

Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is only a part of embodiment of the invention, rather than whole embodiments.Based on the embodiment in the present invention, the every other embodiment that those of ordinary skill in the art are obtained under the premise of creative work is not made belongs to the scope of protection of the invention.

Various technologies described herein can be used for various wireless communication systems, and for example the whole world is moved Dynamic communication system (GSM, Global System for Mobile communications), CDMA（CDMA, Code Division Multiple Access) system, time division multiple acess (TDMA, Time Division Multiple Access) system, WCDMA (WCDMA, Wideband Code Division Multiple Access Wireless), frequency division multiple access (FDMA, Frequency Division Multiple Addressing) system, OFDM (OFDMA, Orthogonal Frequency-Division Multiple Access) system, Single Carrier Frequency Division Multiple Access (SC-FDMA) system, GPRS（GPRS, General Packet Radio Service) system, Long Term Evolution（LTE, Long Term Evolution) system, and other such communication systems.

In addition, the terms " system " and " network " are often used interchangeably herein.The terms " and/or ", only a kind of incidence relation for describing affiliated partner, represents there may be three kinds of relations, for example, Α and/or Β, can be represented：Individualism A, while there is A and B, these three situations of individualism B.In addition, character "/" herein, typically represent forward-backward correlation object be it is a kind of " or " relation.

Embodiment 1

The embodiment of the present invention provides a kind of network plan method based on service distribution, as shown in Fig. 1, including：

S 101, the service distribution figure for obtaining area to be planned, service distribution figure include the distribution of traffic situation in area to be planned.

Wherein, obtaining the specific method of the service distribution figure of area to be planned can include：By minimizing the distribution of traffic situation in drive test (Minimization of Drive Tests, MDT) acquisition area to be planned, and generate the service distribution figure.

Wherein, MDT can be divided into instant type minimum drive test (Immediate Minimization of Drive Tests, IMDT) and the minimum 4 an ancient type of spoon drive tests of log type（Logged Minimization of Drive Tests, LMDT) two types.IMDT refers to user equipment (User Equipment, UE) in UE and evolved base station（Evolved Node B, eNB) be in RRC connected states when carries out and report eNB MDT measure.LMDT refer to UE RRC Idle state carry out and subsequently set up with eNB after RRC be connected report eNB MDT measure. 5102nd, the service distribution figure is carried out by rasterizing processing according to default rasterizing precision and obtains at least one grid, at least one grid is aggregated into at least one traffic hotspots.

Wherein, service distribution figure is carried out by rasterizing processing according to default rasterizing precision, the first grid obtained after processing is aggregated into at least one traffic hotspots can specifically include：Service distribution figure is carried out by rasterizing processing according to default rasterizing precision and obtains at least one grid；Obtain the positional information of the weighted center of at least one grid；At least one grid is aggregated into by least one traffic hotspots according to the positional information of the weighted center of at least one grid.Wherein, after the progress rasterizing processing of service distribution figure to be obtained at least one grid according to default rasterizing precision, the method for the embodiment of the present invention can also include：Obtain the portfolio of at least one grid, and portfolio and the positional information of weighted center according to each grid included at least one traffic hotspots, calculate the positional information of the portfolio of at least one traffic hotspots and the weighted center of at least one traffic hotspots.

5103rd, at least one traffic hotspots is divided to the packet of at least one focus, the packet of at least one focus includes the packet of the first focus, and the quantity of focus packet is equal with default website quantity.

Wherein, in order to by each traffic hotspots in area to be planned（First at least one traffic hotspots）Adhere to separately in different focus packets, management is controlled by different websites, first each traffic hotspots can be respectively divided at least one first focus according to default website quantity and be grouped, specifically, network planning device based on service distribution can be according to the descending order of the portfolio of at least one traffic hotspots, with reference to the distribution of the weighted center of at least one traffic hotspots, at least one initialization weighted center is determined at least one traffic hotspots weighted center, the quantity for initializing weighted center is identical with default website quantity；At least one traffic hotspots includes the first traffic hotspots；According to the distance and the first parameter of the weighted center of the first traffic hotspots at least one initialization weighted center, the cost distance of weighted center is initialized at least one using the weighted center of the default traffic hotspots of cost function calculation first；First parameter includes：Path loss and the Signal Interference and Noise Ratio that receives signal of the weighted center of first traffic hotspots at least one initialization weighted center（At least one of Signal to Interference plus Noise Ratio, SINR) in；Obtained cost will be calculated in, be arranged sequentially according to ascending corresponding to primary cost distance Initialization weighted center be defined as the focus packet that the first traffic hotspots are belonged to.

S 104, the number of sectors or number of cells set at the weighted center that the first focus is grouped in website, and the default website of combination, the portfolio being grouped according to the first focus adjust the antenna works parameter of website.

Wherein, the network planning device based on service distribution can set up website at the weighted center that the first focus is grouped, and the quantity of website is identical with the quantity that the first focus is grouped.

Specifically, network planning device based on service distribution can be according to the number of sectors in default website or number of cells, the packet of first focus is divided at least one sub- focus packet, and obtains the positional information of the portfolio of sub- focus packet and the weighted center of sub- focus packet；The positional information for the weighted center being grouped according to sub- focus adjusts the antenna works parameter of website.

Network plan method provided in an embodiment of the present invention based on service distribution, obtains the service distribution figure of area to be planned；Service distribution figure is carried out by rasterizing processing according to default rasterizing precision and obtains at least one grid, at least one grid is aggregated into at least one traffic hotspots；At least one traffic hotspots is divided to the packet of at least one focus, the packet of at least one focus includes the packet of the first focus；The positional information for the weighted center that the portfolio and first focus that the portfolio of each traffic hotspots in being grouped according to the first focus and the positional information of weighted center obtain the packet of the first focus are grouped；Website is set at the weighted center that the first focus is grouped, and combines the number of sectors or number of cells in default website, the portfolio being grouped according to the first focus adjusts the antenna works parameter of website.With prior art when carrying out the planning of wireless network, only for the purpose of the network coverage, it is not intended that the business demand of the cell of each in network area is compared, website can be disposed according to the service distribution situation of area to be planned, and adjust the antenna works parameter of website, and then the waste of resource can be avoided, while improving Consumer's Experience.

Embodiment 2

The embodiment of the present invention provides a kind of network optimized approach based on service distribution, as shown in Fig. 2, including：

S201, the service distribution figure for obtaining region to be optimized, service distribution figure include the distribution of traffic situation in region to be optimized. In a kind of application scenarios of the embodiment of the present invention, the specific method that the network optimization device based on service distribution obtains the service distribution figure in region to be optimized can include：Network optimization device based on service distribution obtains the distribution of traffic situation in region to be optimized by MDT, and generates service distribution figure.

In another application scenarios of the embodiment of the present invention, the specific method that the network optimization device based on service distribution obtains the service distribution figure in region to be optimized can include：The distribution of traffic situation in region to be optimized is obtained by MDT；With reference to the distribution of traffic situation after the distribution of traffic situation in the region to be optimized obtained and the region preset time to be optimized of prediction, service distribution figure is generated.

It should be noted that, in this application scenarios of the present embodiment, the network coverage for optimizing region to be optimized can be avoided in preset time with reference to the distribution of traffic situation after existing distribution of traffic situation in region to be optimized and the region preset time to be optimized of prediction, if the distribution of traffic situation in region to be optimized change caused by resource waste or poor user experience.If for example, in preset time, A in region to be optimized（Suburb or the less area of flow of the people）May newly-built residential block or block etc., then can when carrying out the network optimization to region to be optimized, in A on the basis of existing business covering increase A ground portfolio.

S 202, according to default rasterizing precision by service distribution figure carry out rasterizing processing obtain at least one grid, at least one grid is aggregated into at least one traffic hotspots, and obtain the positional information of the weighted center of at least one traffic hotspots.

Wherein, S202 can specifically include：S202a, S202b, S202c and S202d:

The a of S 202, according to default rasterizing precision by service distribution figure carry out rasterizing processing, obtain at least one grid.

Wherein, network optimization device based on service distribution can be according to computation complexity of the portfolio and business weighted center position during the size, the optimization precision of this suboptimization, this network optimization in region to be optimized etc. etc., pre-set a rasterizing precision, then service distribution figure is subjected to rasterizing processing further according to the rasterizing precision, for example, Fig. 5 is the service distribution figure example after a rasterizing.In Fig. 5, distribution map example is divided into by several grids using distance fixed between crisscross lines and lines, and determine each The business weighted center position of grid.

The positional information of S202b, the portfolio for obtaining at least one grid and at least one grid weighted center.

Wherein, the network optimization device based on service distribution can according in the portfolio of at least one grid got and the weighting of at least one grid ', positional information calculation at least one traffic hotspots weighted center positional information.

Exemplary, at least one grid can include the first grid.First grid can be times --- the individual grid in Fig. 5.The business weighted center position of first grid can be the grid center of the first grid, can be the position that the business in the first grid is most concentrated.Network planning device based on service distribution can also count the portfolio of the first grid（The total traffic of each grid）, then it is marked according to the portfolio of the first grid using corresponding mark.As shown in Fig. 5, the mark that oblique line interlocks represents that the portfolio of the grid is larger, and the portfolio of grid that represents of the lines that interlock of oblique line more intensive mark is more than the portfolio for the grid that lines that oblique line interlocks more sparse mark is represented；Crisscross grid identifier represents that the portfolio for the grid that the more intensive mark of the smaller and crisscross lines of the portfolio of the grid is represented is more than the portfolio for the grid that crisscross lines more sparse mark is represented；Cai Yong Round shapes camber line mark represents that the portfolio of the grid is minimum.The specific scope of the wherein portfolio of the representative grid of each mark is as shown in Figure 5.

It should be noted that, in the network optimized approach based on service distribution that the present invention is provided, the method that rasterizing processing or the grid of mark first are carried out to service distribution figure includes but is not limited to above-mentioned cited method, and the other method present invention that rasterizing processing or the grid of mark first are carried out to service distribution figure is repeated no more here.

It is further alternative, when obtaining the portfolio of at least one grid, in order to avoid the change due to the service coverage situation in area to be planned, business zero is covered caused by the portfolio of indivedual grids is too small, or the excessive caused service set of portfolio of indivedual grids is covered, the method for the embodiment of the present invention can also include：If the portfolio of at least one grid is less than the first portfolio, the portfolio of at least one grid is set to the first portfolio；If the portfolio of at least one grid is more than the second portfolio, the portfolio of at least one grid is set to the second portfolio. Wherein, the first portfolio is the grid minimal service amount pre-set, and the second portfolio is the grid traffic peak pre-set.

The c of S 202, at least one grid aggregated into by least one traffic hotspots according to the positional information of the weighted center of at least one grid.

Wherein, at least one grid includes the first grid and the second grid, and at least one traffic hotspots includes the first traffic hotspots.Exemplary, then at least one grid is aggregated at least one traffic hotspots and can be by the positional information for occupying the weighted center of at least one grid：If the distance between weighted center of the weighted center of the first grid and the second grid is less than first threshold, the first grid and the second grid are aggregated into the first traffic hotspots.

Wherein, first threshold can be the distance between the grid that the network optimization device based on service distribution is pre-set lower limit, and the first grid and the second grid can be any one grids in Fig. 5.When the weighted center position of the first grid and the distance between the weighted center position of the second grid are less than first threshold, the first grid and the second grid can then be aggregated into first traffic hotspots by the network optimization device based on service distribution.

S202d, the portfolio according to each grid included at least one traffic hotspots and weighted center positional information, calculate the positional information of the portfolio of at least one traffic hotspots and the weighted center of at least one traffic hotspots.

Wherein, at least one traffic hotspots includes the first traffic hotspots.

Exemplary, the distance for the weighted center position that the network optimization device based on service distribution can add up in the first traffic hotspots is less than the portfolio of the grid of first threshold, obtains the portfolio of the first traffic hotspots.Now, the portfolio of the first traffic hotspots is the summation of the portfolio for the grid that polymerization forms first traffic hotspots.For example, Fig. 6 is traffic hotspots distribution map after grid polymerization, several first traffic hotspots are included in Fig. 6.Traffic hotspots A can be the traffic hotspots obtained after two grids polymerize；After can also being the polymerization of two grids, then continue with the 3rd grid to polymerize what is obtained（Obtained after i.e. three grid polymerizations）Traffic hotspots；It can also be the traffic hotspots obtained after the polymerization of more grids.Traffic hotspots A portfolio is the summation of the portfolio at least two grids that polymerization forms traffic hotspots A.For example, if the portfolio of the first grid is Value, the portfolio of the first grid is Val_Ue₂, then the portfolio Value of the first traffic hotspots_New = Value, + Value,。 Specifically, if the portfolio of the first grid is Value, the portfolio of the second grid is Value₂·>The weighted center position of first pole lattice is Location,>The weighted center position of second grid is Location, then the first traffic hotspots weighted center position

( Location, x Value, + Location, x Value, _T

Location = , ·> Location_x、 Location ₂Mouthful

Value _x + Value ₂ J

It can be the vector for representing positional information that Location, which is, such as Location=Location^+i, ocation __y , Locaiion₂ = Location ₂__x + i Location ₂__y,

Location = Location_x + i Location _y.Or, it can divide another¹J calculate the first business heat, power mouthful power center X axles and Y axial coordinates, to obtain its co-ordinate position information.For example,

Location^ x Value _l + Location₂__x x Value

Location

Value, + Value,

Location— x Value, + Locatio ―' x Value

Location

Value _x + Value

Location=Locatio ^, Location^), Location=Location₂__x , Location₂__y), then the power of the first traffic hotspots mouthful weighs center ocation=location_x , Location _y ) .

Further, aggregated into by the first grid and the second grid after first traffic hotspots, the method for the embodiment of the present invention can also include：If the distance between weighted center of the weighted center of the first traffic hotspots and the 3rd grid is less than first threshold, the first traffic hotspots and the 3rd grid are then aggregated into a first new traffic hotspots, and according to the positional information of the weighted center of the portfolio of the first traffic hotspots, the positional information of the weighted center of the first traffic hotspots, the portfolio of the 3rd grid and the 3rd grid, calculate the positional information of the portfolio of the first new traffic hotspots and the weighted center of new the first traffic hotspots.Or, the method for the embodiment of the present invention can also include：If the distance between the weighted center of the first traffic hotspots and the second traffic hotspots weighted center are less than the first threshold, the first traffic hotspots and the second traffic hotspots are then aggregated into a first new traffic hotspots, and in the weighting of portfolio according to the first new traffic hotspots of the positional information calculation of the weighted center of the portfolio of the first traffic hotspots, the positional information of the weighted center of the first traffic hotspots, the portfolio of the second traffic hotspots and the first traffic hotspots and the first new traffic hotspots ' ^ positional information. At least one traffic hotspots, with reference to the positional information of the weighted center of at least one traffic hotspots, is divided to the packet of at least one focus, and obtain the portfolio of at least one focus packet by S203, quantity and positional information according to existing website；The packet of at least one focus includes the packet of the first focus.

Wherein, S203 can specifically include： S203a- S203c;

S203a, distance and the first parameter according to the weighted center of the first traffic hotspots to existing website, the cost distance of website is had at least one using the weighted center of the first traffic hotspots described in default cost function calculation.

Wherein, the first parameter can include：Path loss and at least one in the SINR that receives signal of the weighted center of first traffic hotspots to existing website.

In S203b, the cost distance for obtaining calculating, the focus packet that the first traffic hotspots are belonged to is defined as apart from corresponding existing website according to the ascending primary cost that is arranged sequentially.

Wherein, network optimization device based on service distribution can have the cost distance of website at least one according to the weighted center of the first traffic hotspots to the distance of existing website and the weighted center of the first traffic hotspots to the path loss and at least one in the SINR for receiving signal of existing website using the weighted center of the default traffic hotspots of cost function calculation first.And obtained cost distance will be calculated, arranged according to ascending order, then will be arranged in primary cost and be defined as the first focus packet that the first traffic hotspots are belonged to apart from corresponding existing website.

S203c, according to the first focus be grouped in each traffic hotspots portfolio calculate the first focus be grouped portfolio, the first focus packet portfolio for the first focus be grouped in each traffic hotspots portfolio sum.

Wherein, the network optimization device based on service distribution can add up the first focus packet included in all traffic hotspots portfolio obtain the first focus packet portfolio.

Exemplary, Fig. 7 is one and divides the first focus packet example that at least one traffic hotspots is obtained.Wherein, the network optimization device based on service distribution can add up the portfolio of all traffic hotspots included in the packet of fixed first focus, to obtain the total business volume of all traffic hotspots in the packet of the first focus. If specifically, the portfolio that the first focus packet corresponds to three traffic hotspots, traffic hotspots a, traffic hotspots b, traffic hotspots c, and traffic hotspots a is Value_a, traffic hotspots b portfolio is Value_b, traffic hotspots C portfolio is Value.；Traffic hotspots a business weighted center position is L_OCariw7_a, traffic hotspots b business weighted center position for " Location, traffic hotspots C business power.Power center is Location_c, then the portfolio Value that the first focus is grouped_Group = Value_a + Value_b + Value_c。

S204, with reference to the number of sectors or number of cells in default existing website, the portfolio being grouped according to the first focus, the antenna works parameter of the existing website of adjustment.

Specifically, S204 can include S204a-S204b:

204a, according to the number of sectors or number of cells in default existing website, is divided at least one sub- focus by the packet of the first focus and is grouped, and obtain the positional information of the portfolio of sub- focus packet and the weighted center of sub- focus packet.

Wherein, sub- focus is grouped into the subgroup in the packet of the first focus.The method for calculating sub- focus grouping information is similar with the method for the sub- focus grouping information of above-mentioned calculating.

Exemplary, if the number of sectors or number of cells in default existing website are 3, all first focuses packet in region to be optimized then can be divided into 3 sub- focuses and is grouped by the network optimization device based on service distribution, and obtain the positional information of the portfolio of sub- focus packet and the weighted center of sub- focus packet.

Specifically, the business weighted center position that the network optimization device based on service distribution can be grouped using the first focus is midpoint, the first focus packeting average is divided into 3 sectors, each sector is a sub- focus packet；Or, the first focus can also be grouped and be divided into 3 sectors do not waited by the network optimization device based on service distribution according to the service distribution proportion in the packet of the first focus, and each sector is a sub- focus packet.For example, one the first focus packet can be divided into sub- focus and be grouped a, the sub- focus packet c of sub- focus packet by the network optimization device based on service distribution, because the portfolio that sub- focus is grouped in a is smaller, then larger sector can be divided by a is grouped for sub- focus, to avoid the waste of resource；Because the portfolio that sub- focus is grouped in b is larger, then less sector can will be divided for sub- focus packet b, to improve the Consumer's Experience of the sector.

It should be noted that the network optimization device based on service distribution is according to default website Interior number of sectors or number of cells, the other method embodiment of the present invention that the packet of the first focus is divided into at least one sub- ther mal network optimization device sectorization is repeated no more here.

Specifically, the specific method that the network optimization device based on service distribution obtains network planning device based on service distribution calculating first focus grouping information of the method for the portfolio of sub- focus packet and the positional information of the weighted center of sub- focus packet with being enumerated in the embodiment of the present invention is similar.

For example, if the number of sectors or number of cells in default website are 3, all first focuses packet in region to be optimized then can be divided into 3 sub- focuses and is grouped by the network optimization device based on service distribution, sub- focus packet a, sub- focus packet b, sub- focus packet c.

Wherein, two the first traffic hotspots are included in sub- focus packet a：Traffic hotspots 1 and traffic hotspots 2, and the portfolio of traffic hotspots 1 is Valu_ei, the portfolio of traffic hotspots 2 is Value₂；The business weighted center position of traffic hotspots 1 is Location, and the business weighted center position of traffic hotspots 2 is L_OC^'w7₂.Then sub- focus is grouped the total business volume Value of all first traffic hotspots in a_a = Value! + Value₂；Sub- focus is grouped a business weighted center position

Location X Val e₁ + Location x Value

' Location. wherein, Location_a, Location and

Value_l + Value

Location, it can be the vector for representing positional information, example Location^=Location to be all_a—_x + i ocation_a__y , ocation = Location^ + i ~Location __y

Location₂ = Location₂__x + i Location₂__y,.Or, can divide it is another ' J calculates the X-axis and Y-axis coordinate of sub- focus packet a business weighted center positions, to obtain its co-ordinate position information.

Location^ x Value_x + Location₂_ x Value

' in Location.

Value_x + Value,

Location^ = Locatio ^ , Location^ ) , Location = Location₂__x , Location₂__y), shellfish¹Business power mouthful power center ocation=(Loc "/w7 of the traffic hotspots of J first_a— _x , Loc" /w7_a )。

S204b, the adjustment website antenna works parameter, so that the main lobe of antenna Point to the weighted center of sub- focus packet.

Network optimized approach provided in an embodiment of the present invention based on service distribution, obtain the service distribution figure in region to be optimized, service distribution figure is carried out by rasterizing processing according to default rasterizing precision and obtains at least one grid, at least one grid is aggregated into at least one traffic hotspots, and obtains the positional information of the weighted center of at least one traffic hotspots；According to the quantity and positional information of existing website, with reference to the positional information of the weighted center of at least one traffic hotspots, at least one traffic hotspots is divided to the packet of at least one focus, and obtain the portfolio of at least one focus packet；With reference to the number of sectors or number of cells in default existing website, the portfolio being grouped according to the first focus, the antenna works parameter of the existing website of adjustment.With prior art when carrying out the optimization of wireless network, only for the purpose of the network coverage, it is not intended that the business demand of the cell of each in network area is compared, website can be disposed according to the service distribution situation in region to be optimized, and adjust the antenna works parameter of website, and then the waste of resource can be avoided, while improving Consumer's Experience.

Embodiment 3

The embodiment of the present invention provides a kind of network plan method based on service distribution, as shown in Fig. 4, including：

S301, the distribution of traffic situation in area to be planned obtained by MDT, and generate service distribution figure.

Further, the network planning device based on service distribution can also count the service distribution situation before being planned in area to be planned, the service distribution it may is that testing what is obtained using MDT before planning.For example, Fig. 5 is a service distribution figure example, grey identifies the region and there is business demand i.e. service distribution, and the color of grey is more deep, and the portfolio for identifying the region is bigger.

It should be noted that the form of expression of service distribution figure includes but is not limited to the service distribution figure example cited by Fig. 3, the network planning device based on service distribution can also distinguish the service distribution situation of different zones using different mark or color.The other forms embodiment of the present invention of service distribution figure is repeated no more here.

Further alternative, the specific method that the network planning device based on service distribution obtains the service distribution figure of area to be planned can include：Obtained by MDT in area to be planned Distribution of traffic situation；With reference to the distribution of traffic situation after the distribution of traffic situation in the area to be planned obtained and the area to be planned preset time of prediction, service distribution figure is generated.

It should be noted that, in this application scenarios of the present embodiment, with reference to existing distribution of traffic situation in area to be planned and prediction the area to be planned preset time after distribution of traffic situation planning area to be planned network can avoid in preset time, if the distribution of traffic situation in area to be planned change caused by resource waste or poor user experience.If for example, in preset time, A in area to be planned（Suburb or the less area of flow of the people）May newly-built residential block or block etc., then can when carrying out the network planning to planningization region, in A on the basis of existing business covering increase A ground portfolio.

Specifically, in embodiments of the present invention, network planning device based on service distribution is in generation area to be planned after service distribution figure, then can according to default rasterizing precision by the service distribution figure carry out rasterizing processing, and at least one grid obtained after processing is aggregated into at least one traffic hotspots, the method for the present embodiment can also include S 302- S304:

S302, according to the default rasterizing precision by the service distribution figure carry out rasterizing processing obtain at least one grid.

Wherein, network planning device based on service distribution can be according to computation complexity of the portfolio in the size of area to be planned, this planning precision planned, this network planning process and business weighted center position etc. etc., pre-set a rasterizing precision, then service distribution figure is subjected to rasterizing processing further according to the rasterizing precision, for example, Fig. 5 is the service distribution figure example after a rasterizing.In Fig. 5, several grids are divided into using from distance fixed between the wrong lines of traversed by and lines by distribution map example, and determine the weighted center position of each grid.

S 303, obtain at least one grid weighted center positional information.

Wherein, at least one grid can include the first grid, and the first grid can be that appointing in Fig. 5 --- individual grid, the weighted center of the first grid can be the grid center of the first grid, can be the position that the business in the first grid is most concentrated.Network planning device based on service distribution can also count the portfolio of the first grid（The total business of each grid Amount）, the grid is then marked using corresponding gray scale according to the portfolio of the first grid.As schemed

Shown in 4, the portfolio of the deeper grid identifier grid of color is larger, and the portfolio of the shallower grid identifier grid of color is smaller.

It should be noted that, in the network plan method based on service distribution that the present invention is provided, the method that rasterizing processing or the grid of mark first are carried out to service distribution figure includes but is not limited to above-mentioned cited method, and the other method present invention that rasterizing processing or the grid of mark first are carried out to service distribution figure is repeated no more here.

S 304, at least one grid aggregated into by least one traffic hotspots according to the positional information of the weighted center of at least one grid.

Exemplary, at least one grid can include the first grid and the second grid；At least one traffic hotspots can include the first traffic hotspots.

Wherein, at least one grid is aggregated into at least one traffic hotspots according to the positional information of the weighted center of at least one grid to be specifically as follows：If the distance between weighted center of the weighted center of the first grid and the second grid is less than first threshold, the first grid and the second grid are aggregated into the first traffic hotspots.Wherein, first threshold can be the distance between the grid that the network planning device based on service distribution is pre-set lower limit, first grid and the second grid can be any two grids in Fig. 5, and the first traffic hotspots can be the traffic hotspots that the first grid and the polymerization of the second grid are obtained.

Further, after service distribution figure progress rasterizing processing to be obtained at least one grid according to default rasterizing precision, methods described also includes S 305:

S305, the portfolio for obtaining at least one grid, and portfolio and the positional information of weighted center according to each grid included at least one traffic hotspots, calculate the positional information of the portfolio of at least one traffic hotspots and the weighted center of at least one traffic hotspots.

Specific exemplary, by taking the first traffic hotspots as an example, the network planning device based on service distribution can add up the portfolio of the grid in the first traffic hotspots, obtain the portfolio of the first traffic hotspots.Now, the portfolio of the first traffic hotspots is the summation of the portfolio for the grid that polymerization forms first traffic hotspots.For example, Fig. 6 is traffic hotspots distribution map after grid polymerization, several first traffic hotspots are included in Fig. 6.Traffic hotspots A can be the traffic hotspots obtained after two grids polymerize；After can also being the polymerization of two grids, then with the 3rd Individual grid continues to polymerize what is obtained（Obtained after i.e. three grid polymerizations）Traffic hotspots；It can also be the traffic hotspots obtained after the polymerization of more grids.Traffic hotspots A portfolio is the summation of the portfolio at least two grids that polymerization forms traffic hotspots A.For example, if the portfolio of the first grid is Value, the portfolio of the first grid is Val_Ue₂, then the portfolio Value of the first traffic hotspots_New = Value! + Value₂。

If specifically, the portfolio that the portfolio of the first grid is the grids of Value second is Value₂, the business weighted center position of the first grid is Location, and the business weighted center position of the second grid is Location₂, then the weighted center position of the first traffic hotspots

Location, x Value, + Location, x Value

Location wherein, Location, Location₂With

Val e₁ + Value ₂

It can be the vector for representing positional information that Location, which is, such as Location=Location^+i ~ Location __y , ocation₂ = ocation₂__x + i ocation₂__y,

Location = Location_x + i Location _y.Or, the power mouthful that another ll can be divided to calculate the first traffic hotspots weighs the X axles and Y axial coordinates of center, to obtain its co-ordinate position information.For example,

Location^ x Value_l + ocation₂__x x Value ₂

Location

Value_x + Value 2

Location

Location - Location^ , Location^ ) , Location₂ - Location₂__x , Location₂__y), shellfish¹The Li Kouquan centers Location of the traffic hotspots of J first 。

Further, aggregated into by the first grid and the second grid after first traffic hotspots, the method for the embodiment of the present invention can also include：If the distance between weighted center of the weighted center of the first traffic hotspots and the 3rd grid is less than first threshold, the first traffic hotspots and the 3rd grid are then aggregated into a first new traffic hotspots, and according to the positional information of the weighted center of the portfolio of the first traffic hotspots, the positional information of the weighted center of the first traffic hotspots, the portfolio of the 3rd grid and the 3rd grid, calculate the positional information of the portfolio of the first new traffic hotspots and the weighted center of new the first traffic hotspots, wherein, at least one grid also includes the 3rd grid.

Or, the method for the embodiment of the present invention can also include：If the first traffic hotspots plus The distance between power center and the second traffic hotspots weighted center are less than the first threshold, the first traffic hotspots and the second traffic hotspots are then aggregated into a first new traffic hotspots, and portfolio and the positional information of the weighted center of the first traffic hotspots newly according to the first new traffic hotspots of the positional information calculation of the weighted center of the portfolio of the first traffic hotspots, the positional information of the weighted center of the first traffic hotspots, the portfolio of the second traffic hotspots and the first traffic hotspots, wherein, at least one traffic hotspots also includes the second traffic hotspots.

It is further alternative, when obtaining the portfolio of at least one grid, in order to avoid the change due to the service coverage situation in area to be planned, business zero is covered caused by the portfolio of indivedual grids is too small, or the excessive caused service set of portfolio of indivedual grids is covered, the method for the embodiment of the present invention can also include：If the portfolio of at least one grid is less than the first portfolio, the portfolio of at least one grid is set to the first portfolio；If the portfolio of at least one grid is more than the second portfolio, the portfolio of at least one grid is set to the second portfolio.

Wherein, the first portfolio is the grid minimal service amount pre-set, and the second portfolio is the grid traffic peak pre-set.

S306, according to the descending order of the portfolio of at least one traffic hotspots, with reference to the distribution of the weighted center of at least one traffic hotspots, determined at least one traffic hotspots weighted center at least one initialization weighted center.

Wherein, the quantity of initialization weighted center is identical with default website quantity.

Specifically, network planning device based on service distribution can be ranked up the portfolio of the first traffic hotspots is descending, then in conjunction with the geographical distribution of the weighted center of at least one traffic hotspots, select portfolio sequence forward, and the traffic hotspots in more uniform each orientation for being distributed in area to be planned, the weighted center of the traffic hotspots is determined for initialization weighted center position, the number for initializing weighted center is identical with default website quantity.

Exemplary, at least one traffic hotspots includes the first traffic hotspots.

S307, distance and the first parameter according to the weighted center of the first traffic hotspots at least one initialization weighted center, the cost distance of weighted center is initialized at least one using the weighted center of the default traffic hotspots of cost function calculation first.

First parameter includes：The weighted center of first traffic hotspots adds at least one initialization At least one of in the path loss at power center and the Signal Interference and Noise Ratio SINR of reception signal.

Specifically, network planning device based on service distribution can initialize the cost distance of weighted center at least one according to the distance and the first parameter of the weighted center of each the first traffic hotspots and fixed initialization weighted center using the weighted center of the default traffic hotspots of cost function calculation first.

5308th, obtained cost will be calculated in, the focus packet that the first traffic hotspots are belonged to is defined as apart from corresponding initialization weighted center according to the ascending primary cost that is arranged sequentially.

Wherein, network planning device based on service distribution can will calculate obtained cost distance, arranged according to ascending order, then will be arranged in primary cost and be defined as the first focus packet that the first traffic hotspots are belonged to apart from corresponding existing website.When can reduce signal of the user equipment reception from base station, the decay of signal, and user equipment is obtained the more preferable network coverage, while reducing programmed cost.

Exemplary, the packet of at least one focus includes the packet of the first focus.The positional information for the weighted center that the portfolio and the first focus that network planning device based on service distribution can obtain the packet of the first focus according to the portfolio of each traffic hotspots in the packet of the first focus and the positional information of weighted center are grouped, specifically, the method for the embodiment of the present invention can also include S309-S3 10:

5309th, the portfolio of each traffic hotspots in being grouped according to the first focus calculates the portfolio that the first focus is grouped.

Wherein, the portfolio sum of each traffic hotspots during the portfolio of the first focus packet is grouped for the first focus.

53 10, the positional information for the weighted center that the portfolio of each traffic hotspots in being grouped according to the first focus and the focus of positional information calculation first of weighted center are grouped.

Wherein, an initialization weighted center corresponds to a focus packet, and the number for initializing weighted center is identical with the number that the first focus is grouped.

Exemplary, Fig. 7 is one and divides first at least one focus packet example that first at least one traffic hotspots are obtained.4 set the packet of the first focus is made up of two traffic hotspots： First traffic hotspots and the two the first traffic hotspots.Specifically, network planning device based on service distribution can add up selected initialization weighted center corresponding to the first all traffic hotspots portfolio, to obtain the total business volume of all first traffic hotspots in the packet of the first focus, and the portfolio and the positional information of the weighted center of the first focus packet being grouped according to the focus of positional information calculation first of the weighted center of the total business volume of all first traffic hotspots and the first traffic hotspots in the packet of the first focus.

If specifically, the portfolio that an initialization weighted center corresponds to three the first traffic hotspots, traffic hotspots a, traffic hotspots b, traffic hotspots c, and traffic hotspots a is Value_a, traffic hotspots b portfolio is Value_b, traffic hotspots C portfolio is Value.；Traffic hotspots a weighted center position is Locatio ^, and traffic hotspots b weighted center position is Location, traffic hotspots C weighted center position is Locaticm_c, then the total business volume Value of all first traffic hotspots during the first focus is grouped_&oup = Value_a + Value_b + Value_c, the first focus packet weighted center position be

Location^ x Value _a + Location _b x Value _b + ocation_c x Value _c

Location^

Value _Ά + Value _b + Value _c

Location 、 Location_b、 Location_cIt can be the vector for representing positional information to be all with Location^^, such as Location^=Location^+i Location ", Location_h = Location_b__x + i Location_b__y ,

Location^ = Location^ _v + i Location Location_Group = Location_Group_+i Location, Group- or, the X-axis and Y-axis coordinate of the weighted center present position of the first traffic hotspots can be calculated respectively, to obtain its co-ordinate position information.For example,

Locatio _{a x} x Value _a + Location_b__x x Value _b + Location_c__x x Value_c

Location

^{Group 1} Value _a + Value _b + Value _c

Location" x Value _a + Location_b__y x Value _b + Location_c__y x Value _cIn

Location Group—

Value _Ά + Value _b + Value_c j

Location_a = {Location_a__x , Location_a__y ) , Location_b = Location_b__x , Location_b__y), shellfish¹Weighted center position ocation^=^ocation^ of the traffic hotspots of J first_onv__x , Location^^ )。

It is further alternative, although for each traffic hotspots select initialization weighted center as the traffic hotspots packet-weighted center when, the traffic hotspots to the initialization weighted center Cost distance it is minimum, but, due to the network planning device based on service distribution according to selected initialization weighted center corresponding to the first all traffic hotspots portfolio and the first traffic hotspots weighted center positional information, calculate the positional information for the weighted center that the first focus in the first obtained focus grouping information is grouped, that is the business weighted center position of the first focus packet is not necessarily overlapped with the initialization weighted center position, therefore, in order to which the focus of the cost distance minimum selected to each traffic hotspots and between it is grouped, by taking the first traffic hotspots as an example, the method of the embodiment of the present invention can also include-the S3 13 of S3 11：

The distance and the second parameter for the weighted center that S3 11, the weighted center of the first traffic hotspots of residence are grouped at least one focus, the cost distance for the weighted center being grouped using the weighted center of the default traffic hotspots of cost function calculation first at least one focus.

Wherein, the second parameter includes：At least one of in the path loss for the weighted center that the weighted center of first traffic hotspots is grouped to the first focus and the SINR of reception signal.

Specifically, the network planning device based on service distribution can calculate the packet-weighted center of the first traffic hotspots（First position）The business weighted center position being grouped with least one fixed focus（At least one second place）Between cost distance, in order to being that the selection of each first traffic hotspots and the first minimum focus of cost distance between it are grouped.The size of cost when second cost distance is used to indicate to be deployed as the second place into the packet-weighted center of the first traffic hotspots

53 12, it will calculate in obtained cost distance, and be arranged sequentially primary cost according to ascending packet-weighted center for the first traffic hotspots is redefined apart from the weighted center that the corresponding focus is grouped.

53 13, according to the packet-weighted center of the first traffic hotspots redefined, the positional information of the weighted center for the focus packet that the first traffic hotspots are belonged to is updated.

Wherein, when the cost distance between the focus packet belonging to the first traffic hotspots and the first traffic hotspots be more than cost between the first traffic hotspots and the packet of other focuses apart from when, then the first traffic hotspots can be divided to the minimum focus packet of cost distance between the first traffic hotspots.

If for example, including several traffic hotspots, such as traffic hotspots A, traffic hotspots B in area to be planned;After dividing packet, traffic hotspots A belongs to focus packet A, industry Business focus B belongs to focus packet B；But traffic hotspots A is grouped A cost distance to focus（I.e. traffic hotspots A business weighted center is grouped the cost distance of A business weighted center to focus）More than the cost distance that traffic hotspots A to focus is grouped B（I.e. traffic hotspots A business weighted center is grouped the cost distance of B business weighted center to focus), traffic hotspots A can then be divided to focus packet B by the network planning device based on service distribution.

Wherein, by taking the packet of the first focus as an example, network planning device based on service distribution can set website at the weighted center that the first focus is grouped, with reference to the number of sectors or number of cells in default website, the portfolio being grouped according to the first focus, the antenna works parameter of the website is adjusted, specifically, the method for the present embodiment can also include S3 14- S3 15:

S3 14, the setting website at the weighted center that the first focus is grouped, according to the number of sectors or number of cells in default website, the packet of first focus is divided at least one sub- focus packet, and obtains the positional information of the portfolio of sub- focus packet and the weighted center of sub- focus packet.

Exemplary, if the number of sectors or number of cells in default website are 3, all first focuses packet in area to be planned then can be divided into 3 sub- focuses and is grouped by the network planning device based on service distribution, and obtain sub- focus grouping information.

Specifically, the business weighted center position that the network planning device based on service distribution can be grouped using the first focus is midpoint, the first focus packeting average is divided into 3 sectors, each sector is a sub- focus packet；Or, the first focus can also be grouped and be divided into 3 sectors do not waited by the network planning device based on service distribution according to the service distribution proportion in the packet of the first focus, and each sector is a sub- focus packet.For example, one the first focus packet can be divided into sub- focus and be grouped a, the sub- focus packet c of sub- focus packet by the network planning device based on service distribution, because the portfolio that sub- focus is grouped in a is smaller, then larger sector can be divided by a is grouped for sub- focus, to avoid the waste of resource；Because the portfolio that sub- focus is grouped in b is larger, then less sector can will be divided for sub- focus packet b, to improve the Consumer's Experience of the sector. It should be noted that, network planning device based on service distribution is according to the number of sectors or number of cells in default website, and the other method embodiment of the present invention that the packet of the first focus is divided into at least one sub- ther mal network device for planning sectorization is repeated no more here.

Specifically, the specific method that the network planning device based on service distribution obtains network planning device based on service distribution calculating first focus grouping information of the method for sub- focus grouping information with being enumerated in the embodiment of the present invention is similar.

For example, if the number of sectors or number of cells in default website are 3, all first focuses packet in area to be planned then can be divided into 3 sub- focuses and is grouped by the network planning device based on service distribution, sub- focus packet a, sub- focus packet b, sub- focus packet c.

Location^ x Value_l + ocation₂ x Value

' Location. wherein, ' Location, ' Location, and

Value_l + Value

Location, it can be the vector for representing positional information, example Location^=Location to be all_{a x} + i Location _{a y} , Location = Location^ + i Location_l__y

Location = Location₂__x + i Location₂__y,.Or, can divide it is another ' J calculates the X-axis and Y-axis coordinate of sub- focus packet a business weighted center positions, to obtain its co-ordinate position information.

Location, __γ x Value, + Location, __γ x Value

Location

Value, + Value

Location. in

Location = {Locatio ^ , Location^ ) , Location = Location₂__x , Location₂__y), shellfish¹Business power mouthful power center Location=(Location^, the Location^) of the traffic hotspots of J first₀

S3 15, the antenna works parameter for adjusting website, so that the main lobe of antenna is pointed to The weighted center of sub- focus packet.

Network plan method provided in an embodiment of the present invention based on service distribution, obtains the service distribution figure of area to be planned；Service distribution figure is carried out by rasterizing processing according to default rasterizing precision and obtains at least one grid, at least one grid is aggregated into at least one traffic hotspots；At least one traffic hotspots is divided to the packet of at least one focus, the packet of at least one focus includes the packet of the first focus；The positional information for the weighted center that the portfolio and first focus that the portfolio of each traffic hotspots in being grouped according to the first focus and the positional information of weighted center obtain the packet of the first focus are grouped；Website is set at the weighted center that the first focus is grouped, and combines the number of sectors or number of cells in default website, the portfolio being grouped according to the first focus adjusts the antenna works parameter of website.With prior art when carrying out the planning or optimization of wireless network, only for the purpose of the network coverage, it is not intended that the business demand of the cell of each in network area is compared, website can be disposed according to the service distribution situation of area to be planned, and adjust the antenna works parameter of website, and then the waste of resource can be avoided, while improving Consumer's Experience.

Embodiment 4

The embodiment of the present invention provides a kind of network planning device based on service distribution, as shown in Fig. 8, including：Acquiring unit 41, polymerized unit 42, grouped element 43, adjustment unit 44.

Acquiring unit 41, obtains the service distribution figure of area to be planned, and the service distribution figure includes the distribution of traffic situation in the area to be planned.

Polymerized unit 42, the service distribution figure for being obtained the acquiring unit 41 according to default rasterizing precision carries out rasterizing processing and obtains at least one grid, and at least one described grid is aggregated into at least one traffic hotspots.

Grouped element 43, for by the polymerized unit 42 polymerization obtain described at least one traffic hotspots be divided at least one focus packet, at least one focus packet includes the packet of the first focus, and the quantity of the focus packet is equal with default website quantity.

The acquiring unit 41, the portfolio of each traffic hotspots and the positional information of weighted center for being additionally operable to be grouped according to the grouped element 43 in obtained first focus packet obtains the weighted center that the portfolio and first focus of the first focus packet are grouped Positional information.

Adjustment unit 44, website is set at weighted center for first focus packet obtained in the acquiring unit 41, and with reference to the number of sectors or number of cells in the default website, the portfolio that first focus obtained according to the acquiring unit 41 is grouped, adjusts the antenna works parameter of the website.

Further, in a kind of application scenarios of the embodiment of the present invention, the acquiring unit 41 is additionally operable to obtain the distribution of traffic situation in the area to be planned by MDT, and generate the service distribution figure.

Further, in another application scenarios of the embodiment of the present invention, the acquiring unit 41 is additionally operable to obtain the distribution of traffic situation in the area to be planned by the MDT；With reference to the distribution of traffic situation after the distribution of traffic situation in the area to be planned obtained and the area to be planned preset time of prediction, the service distribution figure is generated.

Further, as shown in figure 9, the polymerized unit 42, including：Grid module 421, acquisition module 422, aggregation module 423.

Grid module 421, the service distribution figure for being obtained the acquiring unit 41 according to the default rasterizing precision carry out rasterizing processing obtain described at least one grid.

Acquisition module 422, for obtain the grid module 421 obtain described at least one grid weighted center positional information.

Aggregation module 423, for according to the acquisition module 422 obtain described at least one grid weighted center positional information at least one described grid is aggregated into described at least one traffic hotspots.

Further, the acquisition module 422, is additionally operable to after service distribution figure progress rasterizing processing to be obtained to the polymerized unit 42 at least one grid according to default rasterizing precision, obtains the portfolio of at least one grid.

As shown in figure 9, the polymerized unit 42, in addition to：First computing module 424.First computing module 424, believes for the portfolio of each grid included at least one traffic hotspots according to the acquisition module 422 acquisition and the position of weighted center Breath, calculates the positional information of the portfolio of at least one traffic hotspots and the weighted center of at least one traffic hotspots.

Further, at least one described grid includes the first grid and the second grid；At least one described traffic hotspots include the first traffic hotspots.

The aggregation module 423, if being additionally operable to the distance between the weighted center of first grid and the weighted center of second grid less than first threshold, first traffic hotspots are aggregated into by first grid and second grid.

Further, at least one described grid also includes the 3rd grid.

The aggregation module 423, it is additionally operable to aggregate into after first traffic hotspots by first grid and second grid, if the distance between weighted center of the weighted center of first traffic hotspots and the 3rd grid is less than the first threshold, first traffic hotspots and the 3rd grid are aggregated into new first traffic hotspots.

First computing module 424, the positional information of the weighted center of portfolio according to first traffic hotspots, the portfolio of the 3rd grid, the positional information of the weighted center of first traffic hotspots and the 3rd grid is additionally operable to, the positional information of the portfolio of new first traffic hotspots and the weighted center of new first traffic hotspots is updated.

And/or；At least one described traffic hotspots also include the second traffic hotspots.

The aggregation module 423, it is additionally operable to aggregate into after first traffic hotspots by first grid and second grid, if the distance between the weighted center of first traffic hotspots and the weighted center of second traffic hotspots are less than the first threshold, first traffic hotspots and second traffic hotspots are aggregated into new first traffic hotspots.

First computing module 424, the positional information of the weighted center of portfolio according to first traffic hotspots, the portfolio of second traffic hotspots, the positional information of the weighted center of first traffic hotspots and second traffic hotspots is additionally operable to, the positional information of the portfolio of new first traffic hotspots and the weighted center of new first traffic hotspots is updated.

Further, the acquisition module 422, if being additionally operable at least one grid Portfolio is less than the first portfolio, then the portfolio of at least one grid is set into first portfolio；If the portfolio of at least one grid is more than the second portfolio, the portfolio of at least one grid is set to second portfolio；Wherein, first portfolio is the grid minimal service amount pre-set, and second portfolio is the grid traffic peak pre-set.

Further, as shown in Figure 10, the grouped element 43, including：Determining module 43 1, the second computing module 432.

Determining module 43 1, the descending order of portfolio at least one traffic hotspots described in being obtained according to the polymerized unit 42, with reference to the distribution of the weighted center of at least one traffic hotspots, at least one initialization weighted center is determined at least one described traffic hotspots weighted center, the quantity of the initialization weighted center is identical with the default website quantity；At least one described traffic hotspots include the first traffic hotspots.

Second computing module 432, for the distance and the first parameter of the weighted center according to first traffic hotspots at least one initialization weighted center, using the cost distance of at least one initialization weighted center described in the weighted center to the determining module 43 1 determination of the first traffic hotspots described in default cost function calculation；First parameter includes：Path loss and at least one in the Signal Interference and Noise Ratio SINR that receives signal of the weighted center of first traffic hotspots at least one initialization weighted center.

The determining module 43 1, it is additionally operable to calculate second computing module 432 in obtained cost distance, the focus packet that first traffic hotspots are belonged to is defined as apart from corresponding initialization weighted center according to the ascending primary cost that is arranged sequentially.

Further, the portfolio of first traffic hotspots is the portfolio of the first grid and the portfolio sum of the second grid.

First computing module 424, the positional information of the weighted center of the first traffic hotspots described in the positional information calculation for the weighted center for being additionally operable to portfolio according to first grid, the positional information of the weighted center of first grid, the portfolio of second grid and second grid.

Further, the acquiring unit 41, is additionally operable in being grouped according to first focus The portfolio of each traffic hotspots calculate the portfolio of first focus packet, the portfolio of the first focus packet be grouped for first focus in each traffic hotspots portfolio sum；The positional information for the weighted center that first focus described in the portfolio of each traffic hotspots and the positional information calculation of weighted center in being grouped according to first focus is grouped.

Further, second computing module 432, it is additionally operable to the distance and the second parameter of weighted center being grouped according to the weighted center of first traffic hotspots at least one described focus, the cost distance for the weighted center being grouped using the weighted center of the first traffic hotspots described in the default cost function calculation at least one described focus；Second parameter includes：At least one of in the path loss for the weighted center that the weighted center of the traffic hotspots is grouped to first focus and the SINR of reception signal.

The determining module 43 1, it is additionally operable to calculate second computing module in obtained cost distance, is redefined according to the ascending primary cost that is arranged sequentially apart from the weighted center that the corresponding focus is grouped as the packet-weighted center of first traffic hotspots.

As shown in Figure 10, the grouped element 43, can also include：Update module 433.Update module 433, for the packet-weighted center of first traffic hotspots redefined according to the determining module 43 1, updates the positional information of the weighted center for the focus packet that first traffic hotspots are belonged to.

Further, the adjustment unit 44 as described in shown in Fig. 11, can include：Setup module 441, division module 442, adjusting module 443.

Website is set at setup module 441, the weighted center for first focus packet obtained in the acquiring unit 41.

Division module 442, for according to the number of sectors or number of cells in the default website, first focus packet is divided at least one sub- focus packet, and obtain in the portfolio of the sub- focus packet and the weighting of sub- focus packet ' ^ positional information.

Adjusting module 443, the antenna works parameter for adjusting the website, so that the main lobe of the antenna points to the weighted center for the sub- focus packet that the division module 442 is obtained. It should be noted that the specific descriptions of part functional module may be referred to the corresponding content in embodiment of the method in the network planning device provided in an embodiment of the present invention based on service distribution, the present embodiment is no longer described in detail here.

Network planning device provided in an embodiment of the present invention based on service distribution, obtains the service distribution figure of area to be planned；Service distribution figure is carried out by rasterizing processing according to default rasterizing precision and obtains at least one grid, at least one grid is aggregated into at least one traffic hotspots；At least one traffic hotspots is divided to the packet of at least one focus, the packet of at least one focus includes the packet of the first focus；The positional information for the weighted center that the portfolio and first focus that the portfolio of each traffic hotspots in being grouped according to the first focus and the positional information of weighted center obtain the packet of the first focus are grouped；Website is set at the weighted center that the first focus is grouped, and combines the number of sectors or number of cells in default website, the portfolio being grouped according to the first focus adjusts the antenna works parameter of website.With prior art when carrying out the planning or optimization of wireless network, only for the purpose of the network coverage, it is not intended that the business demand of the cell of each in network area is compared, website can be disposed according to the service distribution situation of area to be planned, and adjust the antenna works parameter of website, and then the waste of resource can be avoided, while improving Consumer's Experience.

Embodiment 5

The embodiment of the present invention provides a kind of network optimization device based on service distribution, as shown in Figure 12, including：Acquiring unit 51, polymerized unit 52, grouped element 53, adjustment unit 54.

Acquiring unit 51, the service distribution figure for obtaining region to be optimized, the service distribution figure includes the distribution of traffic situation in the region to be optimized.

Polymerized unit 52, the service distribution figure for being obtained the acquiring unit 51 according to default rasterizing precision carries out rasterizing processing and obtains at least one grid, at least one described grid is aggregated into at least one traffic hotspots, and obtains the positional information of the weighted center of at least one traffic hotspots.

Grouped element 53, for the quantity and positional information according to existing website, at least one described traffic hotspots are divided to the packet of at least one focus by the positional information of the weighted center of at least one traffic hotspots with reference to described in being obtained the polymerized unit 52, and described in acquisition extremely The portfolio of few focus packet；At least one focus packet includes the packet of the first focus；

Adjustment unit 54, for reference to the number of sectors or number of cells in the default existing website, the portfolio that first focus obtained according to the grouped element 53 is grouped to adjust the antenna works parameter of the existing website.

Further, the acquiring unit 51, is additionally operable to obtain the distribution of traffic situation in the region to be optimized by MDT, and generate the service distribution figure.

The acquiring unit 51, is additionally operable to obtain the distribution of traffic situation in the region to be optimized by the MDT；With reference to the distribution of traffic situation after the distribution of traffic situation in the region to be optimized obtained and the region preset time to be optimized of prediction, the service distribution figure is generated.

Further, as shown in Figure 13, the polymerized unit 52, including：Grid module 521, acquisition module 522, aggregation module 523, the first computing module 524.

Grid module 521, for the service distribution figure to be carried out into rasterizing processing according to the default rasterizing precision, obtains at least one described grid.

Acquisition module 522, the positional information for obtaining the portfolio at least one grid that the grid module 521 is obtained and the weighted center of at least one grid.

Aggregation module 523, for according to the acquisition module 522 obtain described at least one grid weighted center positional information at least one described grid is aggregated into described at least one traffic hotspots.

First computing module 524, for polymerize according to the aggregation module obtain described in the portfolio and the positional information of weighted center of each grid that include at least one traffic hotspots, calculate the positional information of the portfolio of at least one traffic hotspots and the weighted center of at least one traffic hotspots.

The aggregation module 523, if being additionally operable to the distance between the weighted center of first grid and the weighted center of second grid less than first threshold, first traffic hotspots are aggregated into by first grid and second grid. The positional information of first computing module 524, the portfolio of the first traffic hotspots described in the positional information calculation for the weighted center for being additionally operable to portfolio according to first grid, the portfolio of second grid, the positional information of the weighted center of first grid and second grid and the weighted center of first traffic hotspots.

Further, in a kind of application scenarios of the embodiment of the present invention, at least one described grid also includes the 3rd grid.

The aggregation module 523, it is additionally operable to aggregate into after first traffic hotspots by first grid and second grid, if the distance between the weighted center of first traffic hotspots and the weighted center of the 3rd grid are less than the first threshold, first traffic hotspots and the 3rd grid are aggregated into new first traffic hotspots.

As shown in Fig. 13, the polymerized unit 52, in addition to：Update module 525.Update module 525, for the positional information of the weighted center of the portfolio according to first traffic hotspots, the portfolio of the 3rd grid, the positional information of the weighted center of first traffic hotspots and the 3rd grid, the positional information of the portfolio of new first traffic hotspots and the weighted center of new first traffic hotspots is updated.

In another application scenarios of the embodiment of the present invention, at least one described traffic hotspots also include the second traffic hotspots.

The aggregation module 523, it is additionally operable to aggregate into after first traffic hotspots by first grid and second grid, if the distance between the weighted center of first traffic hotspots and the weighted center of the second traffic hotspots are less than the first threshold, first traffic hotspots and second traffic hotspots are aggregated into new first traffic hotspots.

The update module 525, the positional information of the weighted center of portfolio according to first traffic hotspots, the portfolio of second traffic hotspots, the positional information of the weighted center of first traffic hotspots and second traffic hotspots is additionally operable to, the positional information of the portfolio of new first traffic hotspots and the weighted center of new first traffic hotspots is updated.

Further, the acquisition module 522, if the portfolio for being additionally operable at least one grid is less than the first portfolio, institute is set to by the portfolio of at least one grid State the first portfolio；If the portfolio of at least one grid is more than the second portfolio, the portfolio of at least one grid is set to second portfolio.

Further, as shown in Figure 14, the grouped element 53, including：Second computing module 53 1, determining module 532.

Second computing module 53 1, for the distance and the first parameter of the weighted center according to first traffic hotspots to the existing website, using the weighted center of the first traffic hotspots described in default cost function calculation to the existing cost distance of website at least one described；First parameter includes：Path loss and at least one in the SINR that receives signal of the weighted center of first traffic hotspots to the existing website

Determining module 532, for second computing module 53 1 to be calculated in obtained cost distance, the focus packet that first traffic hotspots are belonged to is defined as apart from the corresponding existing website according to the ascending primary cost that is arranged sequentially.

Further, second computing module 53 1, the portfolio for each traffic hotspots being additionally operable in being grouped according to first focus calculates the portfolio that first focus is grouped, and the portfolio of the first focus packet is the portfolio sum of each traffic hotspots during first focus is grouped.

Further, as shown in Figure 15, the adjustment unit 54, including：Division module 541, adjusting module 542.

Division module 541, for according to the number of sectors or number of cells in the default existing website, first focus packet is divided at least one sub- focus packet, and obtains the positional information of the portfolio of the sub- focus packet and the weighted center of sub- focus packet.

Adjusting module 542, the antenna works parameter for adjusting the website, so that the main lobe of the antenna points to the weighted center that the division module 541 divides the obtained sub- focus packet.

It should be noted that the specific descriptions of part functional module may be referred in the correspondence in other embodiment in the network optimization device provided in an embodiment of the present invention based on service distribution Hold, the present embodiment is no longer described in detail here.

Network optimization device provided in an embodiment of the present invention based on service distribution, obtain the service distribution figure in region to be optimized, service distribution figure is carried out by rasterizing processing according to default rasterizing precision and obtains at least one grid, at least one grid is aggregated into at least one traffic hotspots, and obtains the positional information of the weighted center of at least one traffic hotspots；According to the quantity and positional information of existing website, with reference to the positional information of the weighted center of at least one traffic hotspots, at least one traffic hotspots is divided to the packet of at least one focus, and obtain the portfolio of at least one focus packet；With reference to the number of sectors or number of cells in default existing website, the portfolio being grouped according to the first focus, the antenna works parameter of the existing website of adjustment.With prior art when carrying out the optimization of wireless network, only for the purpose of the network coverage, it is not intended that the business demand of the cell of each in network area is compared, website can be disposed according to the service distribution situation in region to be optimized, and adjust the antenna works parameter of website, and then the waste of resource can be avoided, while improving Consumer's Experience.

Embodiment 6

The embodiment of the present invention provides a kind of network planning device based on service distribution, as shown in Figure 16, including：Processor 61, memory 62.

Processor 61, the service distribution figure for obtaining area to be planned, the service distribution figure includes the distribution of traffic situation in the area to be planned.

Memory 62, for storing the service distribution figure that the processor 61 is obtained.The processor 61, is additionally operable to that service distribution figure progress rasterizing processing is obtained at least one grid according to default rasterizing precision, at least one described grid is aggregated into at least one traffic hotspots；At least one described traffic hotspots are divided to the packet of at least one focus, at least one focus packet includes the packet of the first focus, and the quantity of the focus packet is equal with default website quantity；The positional information for the weighted center that the portfolio and first focus that the portfolio of each traffic hotspots in being grouped according to first focus and the positional information of weighted center obtain the first focus packet are grouped.

The memory 62, is additionally operable to store the positional information of the portfolio for first focus packet that the processor 61 is obtained and the weighted center of first focus packet.

The processor 61, is additionally operable to set at the weighted center of first focus packet Website, and with reference to the number of sectors or number of cells in the default website, the portfolio being grouped according to first focus adjusts the antenna works parameter of the website.

Further, the processor 61, is additionally operable to obtain the distribution of traffic situation in the area to be planned by MDT, and generate the service distribution figure.

Or, the processor 61 is additionally operable to obtain the distribution of traffic situation in the area to be planned by the MDT；With reference to the distribution of traffic situation after the distribution of traffic situation in the area to be planned obtained and the area to be planned preset time of prediction, the service distribution figure is generated.

Further, the processor 61, is additionally operable at least one grid according to the default rasterizing precision obtains service distribution figure progress rasterizing processing；Obtain the positional information of the weighted center of at least one grid；At least one traffic hotspots according to the positional information of the weighted center of at least one grid aggregates at least one described grid.

Further, the processor 61, it is additionally operable to after service distribution figure progress rasterizing processing to be obtained at least one grid according to default rasterizing precision, obtain the portfolio of at least one grid, and according to the portfolio and the positional information of weighted center of each grid included at least one described traffic hotspots, calculate the positional information of the portfolio of at least one traffic hotspots and the weighted center of at least one traffic hotspots.

The processor 61, if being additionally operable to the distance between the weighted center of first grid and the weighted center of second grid less than first threshold, first traffic hotspots are aggregated into by first grid and second grid.

Further, at least one described grid also includes the 3rd grid.

The processor 61, it is additionally operable to aggregate into after first traffic hotspots by first grid and second grid, if the distance between weighted center of the weighted center of first traffic hotspots and the 3rd grid is less than the first threshold, first traffic hotspots and the 3rd grid are aggregated into new first traffic hotspots；According to the portfolio of first traffic hotspots, the portfolio of the 3rd grid, first industry The positional information of the positional information of the weighted center of business focus and the weighted center of the 3rd grid, updates the positional information of the portfolio of new first traffic hotspots and the weighted center of new first traffic hotspots.

The processor 61, it is additionally operable to aggregate into after first traffic hotspots by first grid and second grid, if the distance between the weighted center of first traffic hotspots and the weighted center of second traffic hotspots are less than the first threshold, first traffic hotspots and second traffic hotspots are aggregated into new first traffic hotspots；According to the positional information of the weighted center of the portfolio of first traffic hotspots, the portfolio of second traffic hotspots, the positional information of the weighted center of first traffic hotspots and second traffic hotspots, the positional information of the portfolio of new first traffic hotspots and the weighted center of new first traffic hotspots is updated.

Further, the processor 61, if the portfolio for being additionally operable at least one grid is less than the first portfolio, first portfolio is set to by the portfolio of at least one grid；If the portfolio of at least one grid is more than the second portfolio, the portfolio of at least one grid is set to second portfolio；Wherein, first portfolio is the grid minimal service amount pre-set, and second portfolio is the grid traffic peak pre-set.

Further, the processor 61, it is additionally operable to according to the descending order of the portfolio of at least one traffic hotspots, with reference to the distribution of the weighted center of at least one traffic hotspots, at least one initialization weighted center is determined at least one described traffic hotspots weighted center, the quantity of the initialization weighted center is identical with the default website quantity；At least one described traffic hotspots include the first traffic hotspots；According to the distance and the first parameter of the weighted center of first traffic hotspots at least one initialization weighted center, using the cost distance of the weighted center of the first traffic hotspots described in default cost function calculation at least one initialization weighted center described in；First parameter includes：Path loss and at least one in the Signal Interference and Noise Ratio SINR that receives signal of the weighted center of first traffic hotspots at least one initialization weighted center；The obtained cost will be calculated in, be arranged sequentially according to ascending corresponding to the primary cost distance Initialization weighted center be defined as the focus packet that first traffic hotspots are belonged to.Further, the portfolio of first traffic hotspots for the first grid portfolio and the second grid portfolio it.

The processor 61, the positional information of the weighted center of the first traffic hotspots described in the positional information calculation for the weighted center for being additionally operable to portfolio according to first grid, the positional information of the weighted center of first grid, the portfolio of second grid and second grid.

Further, the processor 61, the portfolio for each traffic hotspots being additionally operable in being grouped according to first focus calculates the portfolio that first focus is grouped, and the portfolio of the first focus packet is the portfolio sum of each traffic hotspots during first focus is grouped；The positional information for the weighted center that first focus described in the portfolio of each traffic hotspots and the positional information calculation of weighted center in being grouped according to first focus is grouped.

Further, the processor 61, it is additionally operable to the distance and the second parameter of weighted center being grouped according to the weighted center of first traffic hotspots at least one described focus, the cost distance for the weighted center being grouped using the weighted center of the first traffic hotspots described in the default cost function calculation at least one described focus；Second parameter includes：At least one of in the path loss for the weighted center that the weighted center of the traffic hotspots is grouped to first focus and the SINR of reception signal；The obtained cost will be calculated in, redefined according to the ascending primary cost that is arranged sequentially apart from the weighted center that the corresponding focus is grouped as the packet-weighted center of first traffic hotspots；According to the packet-weighted center of first traffic hotspots redefined, the positional information of the weighted center for the focus packet that first traffic hotspots are belonged to is updated.

Further, the processor 61, is additionally operable at the weighted center of first focus packet set website；According to the number of sectors or number of cells in the default website, first focus packet is divided at least one sub- focus and is grouped, and obtain in the portfolio of the sub- focus packet and the weighting of sub- focus packet ' ^ positional information；The antenna works parameter of the website is adjusted, so that the main lobe of the antenna points to the weighted center of the sub- focus packet. It should be noted that the specific descriptions of part functional module may be referred to the corresponding content in other embodiment in the network planning device provided in an embodiment of the present invention based on service distribution, the present embodiment is no longer described in detail here.

Embodiment 7

The embodiment of the present invention provides a kind of network optimization device based on service distribution, as shown in Figure 17, including：Processor 71, memory 72.

Processor 71, the service distribution figure for obtaining region to be optimized, the service distribution figure includes the distribution of traffic situation in the region to be optimized.

Memory 72, for storing the service distribution figure that the processor 71 is obtained.The processor 71, it is additionally operable to that service distribution figure progress rasterizing processing is obtained at least one grid according to default rasterizing precision, at least one described grid is aggregated into at least one traffic hotspots, and obtains the positional information of the weighted center of at least one traffic hotspots.

The memory 72, is additionally operable to store the positional information of the weighted center at least one traffic hotspots that the processor 71 is obtained.

The processor 71, is additionally operable to the quantity and positional information according to existing website, with reference to At least one described traffic hotspots are divided to the packet of at least one focus, and obtain the portfolio of at least one focus packet by the positional information of the weighted center of at least one traffic hotspots；At least one focus packet includes the packet of the first focus.

The memory 72, is additionally operable to store the portfolio at least one described focus packet that the processor 71 is obtained.

The processor 71, is additionally operable to reference to the number of sectors or number of cells in the default existing website, the portfolio being grouped according to first focus adjusts the antenna works parameter of the existing website.

Further, the processor 71, is additionally operable to obtain the distribution of traffic situation in the region to be optimized by MDT, and generate the service distribution figure.

Or, the processor 71 is additionally operable to obtain the distribution of traffic situation in the region to be optimized by the MDT；With reference to the distribution of traffic situation after the distribution of traffic situation in the region to be optimized obtained and the region preset time to be optimized of prediction, the service distribution figure is generated.

Further, the processor 71, is additionally operable to that the service distribution figure is carried out into rasterizing processing according to the default rasterizing precision, obtains at least one described grid；Obtain the positional information of the portfolio of at least one grid and the weighted center of at least one grid；According in the weighting of at least one grid ', position letter, at least one described grid aggregates at least one described traffic hotspots by I；According to the portfolio and the positional information of weighted center of each grid included at least one described traffic hotspots, the positional information of the portfolio of at least one traffic hotspots and the weighted center of at least one traffic hotspots is calculated.

The processor 71, if being additionally operable to the distance between the weighted center of first grid and the weighted center of second grid less than first threshold, first traffic hotspots are aggregated into by first grid and second grid；According to the portfolio and the positional information of weighted center of each grid included at least one described traffic hotspots, the position of the portfolio of at least one traffic hotspots and the weighted center of at least one traffic hotspots is calculated Confidence ceases, and specifically includes：The positional information of the weighted center of the portfolio of the first traffic hotspots and first traffic hotspots according to the positional information calculation of the weighted center of the portfolio of first grid, the portfolio of second grid, the positional information of the weighted center of first grid and second grid.

Further, at least one described grid also includes the 3rd grid.

The processor 71, if being additionally operable to the distance between the weighted center of first traffic hotspots and the weighted center of the 3rd grid less than the first threshold, first traffic hotspots and the 3rd grid are aggregated into new first traffic hotspots；According to the positional information of the weighted center of the portfolio of first traffic hotspots, the portfolio of the 3rd grid, the positional information of the weighted center of first traffic hotspots and the 3rd grid, the positional information of the portfolio of new first traffic hotspots and the weighted center of new first traffic hotspots is updated.

The processor 71, if being additionally operable to the distance between the weighted center of first traffic hotspots and the weighted center of the second traffic hotspots less than the first threshold, first traffic hotspots and second traffic hotspots are aggregated into new first traffic hotspots；According to the positional information of the weighted center of the portfolio of first traffic hotspots, the portfolio of second traffic hotspots, the positional information of the weighted center of first traffic hotspots and second traffic hotspots, the positional information of the portfolio of new first traffic hotspots and the weighted center of new first traffic hotspots is updated.

Further, the processor 71, if the portfolio for being additionally operable at least one grid is less than the first portfolio, first portfolio is set to by the portfolio of at least one grid；If the portfolio of at least one grid is more than the second portfolio, the portfolio of at least one grid is set to second portfolio；

Further, the processor 71, be additionally operable to distance and the first parameter to the existing website according to the weighted centers of first traffic hotspots, using the first traffic hotspots described in default cost function calculation weighted center at least one described the cost of website away from From；First parameter includes：Path loss and at least one in the SINR that receives signal of the weighted center of first traffic hotspots to the existing website；The obtained cost will be calculated in, the focus packet that first traffic hotspots are belonged to is defined as apart from the corresponding existing website according to the ascending primary cost that is arranged sequentially.

Further, the processor 71, the portfolio for each traffic hotspots being additionally operable in being grouped according to first focus calculates the portfolio that first focus is grouped, and the portfolio of the first focus packet is the portfolio sum of each traffic hotspots during first focus is grouped.

Further, the processor 71, it is additionally operable to according to the number of sectors or number of cells in the default existing website, first focus packet is divided at least one sub- focus packet, and obtains the positional information of the portfolio of the sub- focus packet and the weighted center of sub- focus packet；The antenna works parameter of the website is adjusted, so that the main lobe of the antenna points to the weighted center of the sub- focus packet.

It should be noted that the specific descriptions of part functional module may be referred to the corresponding content in other embodiment in the network optimization device provided in an embodiment of the present invention based on service distribution, the present embodiment is no longer described in detail here.

Network optimization device provided in an embodiment of the present invention based on service distribution, obtain the service distribution figure in region to be optimized, service distribution figure is carried out by rasterizing processing according to default rasterizing precision and obtains at least one grid, at least one grid is aggregated into at least one traffic hotspots, and obtains the positional information of the weighted center of at least one traffic hotspots；According to the quantity and positional information of existing website, with reference to the positional information of the weighted center of at least one traffic hotspots, at least one traffic hotspots is divided to the packet of at least one focus, and obtain the portfolio of at least one focus packet；With reference to the number of sectors or number of cells in default existing website, the portfolio being grouped according to the first focus, the antenna works parameter of the existing website of adjustment.With prior art when carrying out the optimization of wireless network, only for the purpose of the network coverage, it is not intended that the business demand of the cell of each in network area is compared, website can be disposed according to the service distribution situation in region to be optimized, and adjust the antenna works parameter of website, and then the waste of resource can be avoided, while improving Consumer's Experience. Through the above description of the embodiments, it is apparent to those skilled in the art that, for convenience and simplicity of description, only it is illustrated with the division of above-mentioned each functional module, in practical application, it can as needed and by above-mentioned functions distribute and be completed by different functional modules, i.e., the internal structure of device is divided into different functional modules, to complete all or part of function described above.The specific work process of the system, apparatus, and unit of foregoing description, may be referred to the corresponding process in preceding method embodiment, will not be repeated here.

In several embodiments provided herein, it should be understood that disclosed system, apparatus and method can be realized by another way.For example, device embodiment described above is only schematical, for example, the division of the module or unit, it is only a kind of division of logic function, there can be other dividing mode when actually realizing, such as multiple units or component can combine or be desirably integrated into another system, or some features can be ignored, or do not perform.Another, it, by some interfaces, the INDIRECT COUPLING or communication connection of device or unit, can be electrical, machinery or other forms that shown or discussed coupling or direct-coupling or communication connection each other, which can be,.

The unit illustrated as separating component can be or may not be physically separate, the part shown as unit can be or may not be physical location, a place can be located at, or can also be distributed on multiple NEs.Some or all of unit therein can be selected to realize the purpose of this embodiment scheme according to the actual needs.

In addition, each functional unit in each of the invention embodiment can be integrated in a processing unit or unit is individually physically present, can also two or more units it is integrated in a unit.Above-mentioned integrated unit can both be realized in the form of hardware, it would however also be possible to employ the form of SFU software functional unit is realized.

If the integrated unit is realized using in the form of SFU software functional unit and as independent production marketing or in use, can be stored in a computer read/write memory medium.Understood based on such, the part or all or part of the technical scheme that technical scheme substantially contributes to prior art in other words can be embodied in the form of software product, the computer software product is stored in a storage medium, including some instructions are used To cause a computer equipment（Can be personal computer, server, or network equipment etc.）Or processor（Processor all or part of step of each embodiment methods described of the invention) is performed.And foregoing storage medium includes：U disks, mobile hard disk, read-only storage（ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disc or CD etc. are various can be with the medium of store program codes.

It is described above; only embodiment of the invention, but protection scope of the present invention is not limited thereto, any one skilled in the art the invention discloses technical scope in; change or replacement can be readily occurred in, should be all included within the scope of the present invention.Therefore, protection scope of the present invention should be based on the protection scope of the described claims.

Claims

Claims

1st, a kind of network plan method based on service distribution, it is characterised in that including：The service distribution figure of area to be planned is obtained, the service distribution figure includes the distribution of traffic situation in the area to be planned；

The service distribution figure is carried out by rasterizing processing according to default rasterizing precision and obtains at least one grid, at least one described grid is aggregated into at least one traffic hotspots；

At least one described traffic hotspots are divided to the packet of at least one focus, at least one focus packet includes the packet of the first focus, and the quantity of the focus packet is equal with default website quantity；

The positional information for the weighted center that the portfolio and first focus that the portfolio of each traffic hotspots in being grouped according to first focus and the positional information of weighted center obtain the first focus packet are grouped；

Website is set at the weighted center that first focus is grouped, and with reference to the number of sectors or number of cells in the default website, the portfolio being grouped according to first focus adjusts the antenna works parameter of the website.

2nd, the network plan method based on service distribution according to claim 1, it is characterised in that the service distribution figure of the acquisition area to be planned, including：

By minimizing the distribution of traffic situation in the drive test MDT acquisitions area to be planned, and generate the service distribution figure；

Or,

Distribution of traffic situation in the area to be planned is obtained by the MDT；With reference to the distribution of traffic situation after the distribution of traffic situation in the area to be planned obtained and the area to be planned preset time of prediction, the service distribution figure is generated.

3rd, the network plan method based on service distribution according to claim 1, it is characterized in that, it is described that service distribution figure progress rasterizing processing is obtained by least one grid according to default rasterizing precision, at least one described grid is aggregated into at least one traffic hotspots, including：

At least one grid according to the default rasterizing precision obtains service distribution figure progress rasterizing processing； Obtain the positional information of the weighted center of at least one grid；

According in the weighting of at least one grid ', positional information at least one described grid is aggregated into described at least one traffic hotspots.

4th, the network plan method based on service distribution according to claim 1 or 3, it is characterised in that after service distribution figure progress rasterizing processing to be obtained at least one grid according to default rasterizing precision, methods described also includes：

Obtain the portfolio of at least one grid, and according to the portfolio and the positional information of weighted center of each grid included at least one described traffic hotspots, calculate the positional information of the portfolio of at least one traffic hotspots and the weighted center of at least one traffic hotspots.

5th, the network plan method based on service distribution according to claim 1 or 3, it is characterised in that at least one described grid includes the first grid and the second grid；At least one described traffic hotspots include the first traffic hotspots；

At least one described grid is aggregated at least one described traffic hotspots by the positional information of the weighted center of at least one grid described in the basis, is specifically included：

If the distance between weighted center of the weighted center of first grid and second grid is less than first threshold, first grid and second grid are aggregated into first traffic hotspots.

6th, the network plan method according to claim 5 based on service distribution, it is characterised in that at least one described grid also includes the 3rd grid；

Aggregated into by first grid and second grid after first traffic hotspots, methods described also includes：

If the distance between weighted center of the weighted center of first traffic hotspots and the 3rd grid is less than the first threshold, first traffic hotspots and the 3rd grid are aggregated into new first traffic hotspots；

According to the positional information of the weighted center of the portfolio of first traffic hotspots, the portfolio of the 3rd grid, the positional information of the weighted center of first traffic hotspots and the 3rd grid, the positional information of the portfolio of new first traffic hotspots and the weighted center of new first traffic hotspots is updated； And/or；

At least one described traffic hotspots also include the second traffic hotspots；

Aggregated into by first grid and second grid after first traffic hotspots, methods described also includes：

If the distance between the weighted center of first traffic hotspots and the weighted center of second traffic hotspots are less than the first threshold, first traffic hotspots and second traffic hotspots are aggregated into new first traffic hotspots；

According to the positional information of the weighted center of the portfolio of first traffic hotspots, the portfolio of second traffic hotspots, the positional information of the weighted center of first traffic hotspots and second traffic hotspots, the positional information of the portfolio of new first traffic hotspots and the weighted center of new first traffic hotspots is updated.

7th, the network plan method according to claim 4 based on service distribution, it is characterised in that the portfolio of at least one grid described in the acquisition, including：

If the portfolio of at least one grid is less than the first portfolio, the portfolio of at least one grid is set to first portfolio；

If the portfolio of at least one grid is more than the second portfolio, the portfolio of at least one grid is set to second portfolio；

Wherein, first portfolio is the grid minimal service amount pre-set, and second portfolio is the grid traffic peak pre-set.

8th, the network plan method based on service distribution according to claim 1 or 4, it is characterised in that described that at least one described traffic hotspots are divided to the packet of at least one focus, including：

According to the order that the portfolio of at least one traffic hotspots is descending, with reference to the distribution of the weighted center of at least one traffic hotspots, at least one initialization weighted center is determined at least one described traffic hotspots weighted center, the quantity of the initialization weighted center is identical with the default website quantity；At least one described traffic hotspots include the first traffic hotspots；

Shelter states the weighted center of the first traffic hotspots to the distance and the first parameter of at least one initialization weighted center, using the first traffic hotspots described in default cost function calculation Cost distance of the weighted center at least one initialization weighted center；First parameter includes：Path loss and at least one in the Signal Interference and Noise Ratio SINR that receives signal of the weighted center of first traffic hotspots at least one initialization weighted center；

The obtained cost will be calculated in, the focus packet that first traffic hotspots are belonged to is defined as apart from corresponding initialization weighted center according to the ascending primary cost that is arranged sequentially.

9th, the network plan method according to claim 4 based on service distribution, it is characterised in that the portfolio of first traffic hotspots is the portfolio of the first grid and the portfolio sum of the second grid；

The positional information of the weighted center of the portfolio of at least one grid and at least one grid described in the basis, calculates the positional information of the weighted center of at least one traffic hotspots, specifically includes：

The positional information of the weighted center of the first traffic hotspots according to the positional information calculation of the weighted center of the portfolio of first grid, the positional information of the weighted center of first grid, the portfolio of second grid and second grid.

10th, the network plan method according to claim 4 based on service distribution, it is characterized in that, the positional information for the weighted center that the portfolio and first focus that the portfolio of each traffic hotspots in being grouped according to first focus and the positional information of weighted center obtain the first focus packet are grouped, including：

The portfolio of each traffic hotspots in being grouped according to first focus calculates the portfolio that first focus is grouped, and the portfolio of the first focus packet is the portfolio sum of each traffic hotspots during first focus is grouped；

The positional information for the weighted center that first focus described in the portfolio of each traffic hotspots and the positional information calculation of weighted center in being grouped according to first focus is grouped.

11, the network plan method based on service distribution according to any one of claim 8- 10, it is characterized in that, described that at least one described traffic hotspots are divided into the packet of at least one focus, at least one focus packet includes the packet of the first focus, in addition to：The distance and the second parameter for the weighted center being grouped according to the weighted center of first traffic hotspots at least one described focus, using the first industry described in the default cost function calculation Cost distance of the weighted center of business focus to the weighted center of at least one focus packet；Second parameter includes：At least one of in the path loss for the weighted center that the weighted center of the traffic hotspots is grouped to first focus and the SINR of reception signal；

The obtained cost will be calculated in, redefined according to the ascending primary cost that is arranged sequentially apart from the weighted center that the corresponding focus is grouped as the packet-weighted center of first traffic hotspots；

According to the packet-weighted center of first traffic hotspots redefined, the positional information of the weighted center for the focus packet that first traffic hotspots are belonged to is updated.

12nd, the network plan method according to claim 1 based on service distribution, it is characterized in that, it is described that website is set at the weighted center that first focus is grouped, with reference to the number of sectors or number of cells in the default website, the portfolio being grouped according to first focus, the antenna works parameter of the website is adjusted, including：

Website is set at the weighted center that first focus is grouped；

According to the number of sectors or number of cells in the default website, first focus packet is divided at least one sub- focus and is grouped, and obtain the positional information of the portfolio of the sub- focus packet and the weighted center of sub- focus packet；

The antenna works parameter of the website is adjusted, so that the main lobe of the antenna points to the weighted center of the sub- focus packet.

13rd, a kind of network optimized approach based on service distribution, it is characterised in that including：The service distribution figure in region to be optimized is obtained, the service distribution figure includes the distribution of traffic situation in the region to be optimized；

The service distribution figure is carried out by rasterizing processing according to default rasterizing precision and obtains at least one grid, at least one described grid at least one traffic hotspots is aggregated into, and obtain the positional information of the weighted center of at least one traffic hotspots；

According to the quantity and positional information of existing website, with reference to the positional information of the weighted center of at least one traffic hotspots, at least one described traffic hotspots are divided to the packet of at least one focus, and obtain the portfolio of at least one focus packet；At least one focus packet includes the packet of the first focus；

With reference to the number of sectors or number of cells in the default existing website, according to described The portfolio of first focus packet, adjusts the antenna works parameter of the existing website.

14th, the network optimized approach according to claim 13 based on service distribution, it is characterised in that the service distribution figure in the acquisition region to be optimized, including：

Distribution of traffic situation in the region to be optimized is obtained by MDT, and generates the service distribution figure；

Or,

Distribution of traffic situation in the region to be optimized is obtained by the MDT；With reference to the distribution of traffic situation after the distribution of traffic situation in the region to be optimized obtained and the region preset time to be optimized of prediction, the service distribution figure is generated.

15th, the network optimized approach according to claim 13 based on service distribution, it is characterized in that, it is described that service distribution figure progress rasterizing processing is obtained by least one grid according to default rasterizing precision, at least one described grid is aggregated into at least one traffic hotspots, and the positional information of the weighted center of at least one traffic hotspots is obtained, including：The service distribution figure is carried out by rasterizing processing according to the default rasterizing precision, at least one described grid is obtained；

Obtain the positional information of the portfolio of at least one grid and the weighted center of at least one grid；

According in the weighting of at least one grid ', positional information at least one described grid is aggregated into described at least one traffic hotspots；

According to the portfolio and the positional information of weighted center of each grid included at least one described traffic hotspots, the positional information of the portfolio of at least one traffic hotspots and the weighted center of at least one traffic hotspots is calculated.

16th, the network optimized approach based on service distribution according to any one of claim 15, it is characterised in that at least one described grid includes the first grid and the second grid；At least one described traffic hotspots include the first traffic hotspots；

According in the weighting of at least one grid ', positional information at least one described grid is aggregated into described at least one traffic hotspots, specifically include：

If the distance between weighted center of the weighted center of first grid and second grid is less than first threshold, first grid and second grid are aggregated into described the One traffic hotspots；

According to the portfolio and the positional information of weighted center of each grid included at least one described traffic hotspots, the positional information of the portfolio of at least one traffic hotspots and the weighted center of at least one traffic hotspots is calculated, is specifically included：

The positional information of the weighted center of the portfolio of the first traffic hotspots and first traffic hotspots according to the positional information calculation of the weighted center of the portfolio of first grid, the portfolio of second grid, the positional information of the weighted center of first grid and second grid.

17th, the network optimized approach according to claim 16 based on service distribution, it is characterised in that at least one described grid also includes the 3rd grid；

Aggregated into by first grid and second grid after first traffic hotspots, methods described also includes：

If the distance between the weighted center of first traffic hotspots and the weighted center of the 3rd grid are less than the first threshold, first traffic hotspots and the 3rd grid are aggregated into new first traffic hotspots；

According to the positional information of the weighted center of the portfolio of first traffic hotspots, the portfolio of the 3rd grid, the positional information of the weighted center of first traffic hotspots and the 3rd grid, the positional information of the portfolio of new first traffic hotspots and the weighted center of new first traffic hotspots is updated；

And/or；At least one described traffic hotspots also include the second traffic hotspots；

If the distance between the weighted center of first traffic hotspots and the weighted center of the second traffic hotspots are less than the first threshold, first traffic hotspots and second traffic hotspots are aggregated into new first traffic hotspots；

According to the positional information of the weighted center of the portfolio of first traffic hotspots, the portfolio of second traffic hotspots, the positional information of the weighted center of first traffic hotspots and second traffic hotspots, the positional information of the portfolio of new first traffic hotspots and the weighted center of new first traffic hotspots is updated.

18th, the network optimized approach based on service distribution according to claim 13 or 15, it is characterised in that the portfolio of at least one grid described in the acquisition, including： If the portfolio of at least one grid is less than the first portfolio, the portfolio of at least one grid is set to first portfolio；

If the portfolio of at least one grid is more than the second portfolio, the portfolio of at least one grid is set to second portfolio；

Wherein, first portfolio is the grid minimal service amount pre-set, and second portfolio is the grid traffic peak pre-set.

19th, the network optimized approach according to claim 13 based on service distribution, it is characterised in that at least one described traffic hotspots include the first traffic hotspots；

At least one described traffic hotspots, with reference to the positional information of the weighted center of at least one traffic hotspots, are divided to the packet of at least one focus by the quantity and positional information of the existing website of the basis, including：

According to the distance and the first parameter of the weighted center of first traffic hotspots to the existing website, using the weighted center of the first traffic hotspots described in default cost function calculation to the existing cost distance of website at least one described；First parameter includes：Path loss and at least one in the SINR that receives signal of the weighted center of first traffic hotspots to the existing website；

The obtained cost will be calculated in, the focus packet that first traffic hotspots are belonged to is defined as apart from the corresponding existing website according to the ascending primary cost that is arranged sequentially.

20th, the network optimized approach based on service distribution according to claim 13 or 19, it is characterised in that the portfolio that at least one focus described in the acquisition is grouped, including：

The portfolio of each traffic hotspots in being grouped according to first focus calculates the portfolio that first focus is grouped, and the portfolio of the first focus packet is the portfolio sum of each traffic hotspots during first focus is grouped.

21st, the network optimized approach according to claim 13 based on service distribution, it is characterized in that, number of sectors or number of cells in the default existing website of combination, the portfolio being grouped according to first focus, the antenna works parameter of the adjustment existing website, including：

According to the number of sectors or number of cells in the default existing website, by described the The packet of one focus is divided at least one sub- focus packet, and obtain in the portfolio of the sub- focus packet and the weighting of sub- focus packet ' ^ positional information；

The antenna works parameter of the website is adjusted, so that the main lobe of the antenna points to the weighted center of the sub- focus packet.

22nd, a kind of network planning device based on service distribution, it is characterised in that including：Acquiring unit, obtains the service distribution figure of area to be planned, and the service distribution figure includes the distribution of traffic situation in the area to be planned；

Polymerized unit, the service distribution figure for being obtained the acquiring unit according to default rasterizing precision carries out rasterizing processing and obtains at least one grid, and at least one described grid is aggregated into at least one traffic hotspots；

Grouped element, is divided to the packet of at least one focus, the packet of described at least one focus includes the packet of the first focus, and the quantity of the focus packet is equal with default website quantity at least one traffic hotspots described in polymerized unit polymerization is obtained；

The acquiring unit, the positional information for the weighted center that the portfolio and first focus that the portfolio of each traffic hotspots and the positional information of weighted center being additionally operable in being grouped according to first focus that grouped element packet is obtained obtain the first focus packet are grouped；

Adjustment unit, website is set at weighted center for first focus packet obtained in the acquiring unit, and with reference to the number of sectors or number of cells in the default website, the portfolio that first focus obtained according to the acquiring unit is grouped, adjusts the antenna works parameter of the website.

23rd, the network planning device according to claim 22 based on service distribution, it is characterised in that the acquiring unit, is additionally operable to obtain the distribution of traffic situation in the area to be planned by MDT, and generate the service distribution figure；

Or,

The acquiring unit, is additionally operable to obtain the distribution of traffic situation in the area to be planned by the MDT；With reference to the distribution of traffic situation after the distribution of traffic situation in the area to be planned obtained and the area to be planned preset time of prediction, the service distribution figure is generated. 24th, the network planning device according to claim 22 based on service distribution, it is characterised in that the polymerized unit, including：

Grid module, the service distribution figure for being obtained the acquiring unit according to the default rasterizing precision carry out rasterizing processing obtain described at least one grid；

Acquisition module, for obtain the grid module obtain described at least one grid weighted center positional information；

Aggregation module, for according to the acquisition module obtain described at least one grid weighted center positional information at least one described grid is aggregated into described at least one traffic hotspots.

25th, the network planning device based on service distribution according to claim 22 or 24, it is characterized in that, the acquisition module, it is additionally operable to after service distribution figure progress rasterizing processing to be obtained to the polymerized unit at least one grid according to default rasterizing precision, obtains the portfolio of at least one grid；

The polymerized unit, in addition to：

First computing module, for the portfolio and the positional information of weighted center of each grid included at least one traffic hotspots according to acquisition module acquisition, the positional information of the portfolio of at least one traffic hotspots and the weighted center of at least one traffic hotspots is calculated.

26th, the network planning device based on service distribution according to claim 22 or 24, it is characterised in that at least one described grid includes the first grid and the second grid；At least one described traffic hotspots include the first traffic hotspots；

The aggregation module, if being additionally operable to the distance between the weighted center of first grid and the weighted center of second grid less than first threshold, first traffic hotspots are aggregated into by first grid and second grid.

27th, the network planning device according to claim 26 based on service distribution, it is characterised in that at least one described grid also includes the 3rd grid；

The aggregation module, it is additionally operable to aggregate into after first traffic hotspots by first grid and second grid, if the distance between weighted center of the weighted center of first traffic hotspots and the 3rd grid is less than the first threshold, by first business heat Point and the 3rd grid aggregate into new first traffic hotspots；

First computing module, the positional information of the weighted center of portfolio according to first traffic hotspots, the portfolio of the 3rd grid, the positional information of the weighted center of first traffic hotspots and the 3rd grid is additionally operable to, the positional information of the portfolio of new first traffic hotspots and the weighted center of new first traffic hotspots is updated；

And/or；

At least one described traffic hotspots also include the second traffic hotspots；

The aggregation module, it is additionally operable to aggregate into after first traffic hotspots by first grid and second grid, if the distance between the weighted center of first traffic hotspots and the weighted center of second traffic hotspots are less than the first threshold, first traffic hotspots and second traffic hotspots are aggregated into new first traffic hotspots；

First computing module, the positional information of the weighted center of portfolio according to first traffic hotspots, the portfolio of second traffic hotspots, the positional information of the weighted center of first traffic hotspots and second traffic hotspots is additionally operable to, the positional information of the portfolio of new first traffic hotspots and the weighted center of new first traffic hotspots is updated.

28th, the network planning device according to claim 25 based on service distribution, it is characterized in that, the acquisition module, if the portfolio for being additionally operable at least one grid is less than the first portfolio, first portfolio is set to by the portfolio of at least one grid；If the portfolio of at least one grid is more than the second portfolio, the portfolio of at least one grid is set to second portfolio；Wherein, first portfolio is the grid minimal service amount pre-set, and second portfolio is the grid traffic peak pre-set.

29th, the network planning device based on service distribution according to claim 22 or 25, it is characterised in that the grouped element, including：

Determining module, the descending order of portfolio at least one traffic hotspots described in being obtained according to the polymerized unit, with reference to the distribution of the weighted center of at least one traffic hotspots, at least one initialization weighted center is determined at least one described traffic hotspots weighted center, the quantity of the initialization weighted center is identical with the default website quantity；It is described At least one traffic hotspots includes the first traffic hotspots；

Second computing module, for the distance and the first parameter of the weighted center according to first traffic hotspots at least one initialization weighted center, using the cost distance of at least one initialization weighted center described in the weighted center to determining module determination of the first traffic hotspots described in default cost function calculation；First parameter includes：Path loss and at least one in the Signal Interference and Noise Ratio SINR that receives signal of the weighted center of first traffic hotspots at least one initialization weighted center；

The determining module, it is additionally operable to calculate second computing module in obtained cost distance, the focus packet that first traffic hotspots are belonged to is defined as apart from corresponding initialization weighted center according to the ascending primary cost that is arranged sequentially.

30th, the network planning device according to claim 25 based on service distribution, it is characterised in that the portfolio of first traffic hotspots is the portfolio of the first grid and the portfolio sum of the second grid；

First computing module, the positional information of the weighted center of the first traffic hotspots described in the positional information calculation for the weighted center for being additionally operable to portfolio according to first grid, the positional information of the weighted center of first grid, the portfolio of second grid and second grid.

31, the network planning device according to claim 25 based on service distribution, it is characterized in that, the acquiring unit, the portfolio for each traffic hotspots being additionally operable in being grouped according to first focus calculates the portfolio that first focus is grouped, and the portfolio of the first focus packet is the portfolio sum of each traffic hotspots during first focus is grouped；The positional information for the weighted center that first focus described in the portfolio of each traffic hotspots and the positional information calculation of weighted center in being grouped according to first focus is grouped.

32nd, the network planning device according to claim 25 based on service distribution, it is characterized in that, second computing module, it is additionally operable to the distance and the second parameter of weighted center being grouped according to the weighted center of first traffic hotspots at least one described focus, the cost distance for the weighted center being grouped using the weighted center of the first traffic hotspots described in the default cost function calculation at least one described focus；Second parameter includes：The path loss and reception signal for the weighted center that the weighted center of the traffic hotspots is grouped to first focus SINR at least one of；

The determining module, it is additionally operable to calculate second computing module in obtained cost distance, is redefined according to the ascending primary cost that is arranged sequentially apart from the weighted center that the corresponding focus is grouped as the packet-weighted center of first traffic hotspots；

The grouped element, in addition to：

Update module, for the packet-weighted center of first traffic hotspots redefined according to the determining module, updates the positional information of the weighted center for the focus packet that first traffic hotspots are belonged to.

33rd, the network planning device according to claim 22 based on service distribution, it is characterised in that the adjustment unit, including：

Website is set at setup module, the weighted center for first focus packet obtained in the acquiring unit；

Division module, for according to the number of sectors or number of cells in the default website, first focus packet is divided at least one sub- focus packet, and obtains the positional information of the portfolio of the sub- focus packet and the weighted center of sub- focus packet；

Adjusting module, the antenna works parameter for adjusting the website, so that the main lobe of the antenna points to the weighted center for the sub- focus packet that the division module is obtained.

34th, a kind of network optimization device based on service distribution, it is characterised in that including：Acquiring unit, the service distribution figure for obtaining region to be optimized, the service distribution figure includes the distribution of traffic situation in the region to be optimized；

Polymerized unit, the service distribution figure for being obtained the acquiring unit according to default rasterizing precision carries out rasterizing processing and obtains at least one grid, at least one described grid is aggregated into at least one traffic hotspots, and obtains the positional information of the weighted center of at least one traffic hotspots；

Grouped element, for the quantity and positional information according to existing website, the positional information of the weighted center of at least one traffic hotspots with reference to described in being obtained the polymerized unit, at least one described traffic hotspots are divided to the packet of at least one focus, and obtain the portfolio of at least one focus packet；At least one focus packet includes the packet of the first focus； Adjustment unit, for reference to the number of sectors or number of cells in the default existing website, the portfolio that first focus obtained according to the grouped element is grouped to adjust the antenna works parameter of the existing website.

35th, the network optimization device according to claim 34 based on service distribution, it is characterised in that the acquiring unit, is additionally operable to obtain the distribution of traffic situation in the region to be optimized by MDT, and generate the service distribution figure；

The acquiring unit, is additionally operable to obtain the distribution of traffic situation in the region to be optimized by the MDT；With reference to the distribution of traffic situation after the distribution of traffic situation in the region to be optimized obtained and the region preset time to be optimized of prediction, the service distribution figure is generated.

36th, the network optimization device according to claim 34 based on service distribution, it is characterised in that the polymerized unit, including：

Grid module, for the service distribution figure to be carried out into rasterizing processing according to the default rasterizing precision, obtains at least one described grid；

Acquisition module, the positional information for obtaining the portfolio at least one grid that the grid module is obtained and the weighted center of at least one grid；

Aggregation module, for according to the acquisition module obtain described at least one grid weighted center positional information at least one described grid is aggregated into described at least one traffic hotspots；

First computing module, for polymerize according to the aggregation module obtain described in the portfolio and the positional information of weighted center of each grid that include at least one traffic hotspots, calculate the positional information of the portfolio of at least one traffic hotspots and the weighted center of at least one traffic hotspots.

37th, the network optimization device according to claim 36 based on service distribution, it is characterised in that at least one described grid includes the first grid and the second grid；At least one described traffic hotspots include the first traffic hotspots；

The aggregation module, if being additionally operable to the distance between the weighted center of first grid and the weighted center of second grid less than first threshold, first traffic hotspots are aggregated into by first grid and second grid； The positional information of first computing module, the portfolio of the first traffic hotspots described in the positional information calculation for the weighted center for being additionally operable to portfolio according to first grid, the portfolio of second grid, the positional information of the weighted center of first grid and second grid and the weighted center of first traffic hotspots.

38th, the network optimization device based on service distribution according to claim 37, it is characterised in that at least one described grid also includes the 3rd grid；

The aggregation module, it is additionally operable to aggregate into after first traffic hotspots by first grid and second grid, if the distance between the weighted center of first traffic hotspots and the weighted center of the 3rd grid are less than the first threshold, first traffic hotspots and the 3rd grid are aggregated into new first traffic hotspots；

The polymerized unit, in addition to：

Update module, for the positional information of the weighted center of the portfolio according to first traffic hotspots, the portfolio of the 3rd grid, the positional information of the weighted center of first traffic hotspots and the 3rd grid, the positional information of the portfolio of new first traffic hotspots and the weighted center of new first traffic hotspots is updated；

And/or；At least one described traffic hotspots also include the second traffic hotspots；

The aggregation module, it is additionally operable to aggregate into after first traffic hotspots by first grid and second grid, if the distance between the weighted center of first traffic hotspots and the weighted center of the second traffic hotspots are less than the first threshold, first traffic hotspots and second traffic hotspots are aggregated into new first traffic hotspots；

The update module, the positional information of the weighted center of portfolio according to first traffic hotspots, the portfolio of second traffic hotspots, the positional information of the weighted center of first traffic hotspots and second traffic hotspots is additionally operable to, the positional information of the portfolio of new first traffic hotspots and the weighted center of new first traffic hotspots is updated.

39th, the network optimization device based on service distribution according to claim 34 or 36, it is characterized in that, the acquisition module, if the portfolio for being additionally operable at least one grid is less than the first portfolio, the portfolio of at least one grid is set to first portfolio；If the portfolio of at least one grid is more than the second portfolio, the portfolio of at least one grid is set to second portfolio； Wherein, first portfolio is the grid minimal service amount pre-set, and second portfolio is the grid traffic peak pre-set.

40th, the network optimization device according to claim 34 based on service distribution, it is characterised in that at least one described traffic hotspots include the first traffic hotspots；

The grouped element, including：

Second computing module, for the distance and the first parameter of the weighted center according to first traffic hotspots to the existing website, using the weighted center of the first traffic hotspots described in default cost function calculation to the existing cost distance of website at least one described；First parameter includes：Path loss and at least one in the SINR that receives signal of the weighted center of first traffic hotspots to the existing website；

Determining module, for second computing module to be calculated in obtained cost distance, according to by ' ", to it is big be arranged sequentially the primary cost and be defined as the focus that first traffic hotspots are belonged to apart from the corresponding existing website be grouped.

41st, the network optimization device based on service distribution according to claim 34 or 40, it is characterized in that, second computing module, the portfolio for each traffic hotspots being additionally operable in being grouped according to first focus calculates the portfolio that first focus is grouped, and the portfolio of the first focus packet is the portfolio sum of each traffic hotspots during first focus is grouped.

42nd, the network optimization device according to claim 34 based on service distribution, it is characterised in that the adjustment unit, including：

Division module, for according to the number of sectors or number of cells in the default existing website, first focus packet is divided at least one sub- focus packet, and obtains the positional information of the portfolio of the sub- focus packet and the weighted center of sub- focus packet；

Adjusting module, the antenna works parameter for adjusting the website, so that the main lobe of the antenna points to the weighted center that the division module divides the obtained sub- focus packet.

43rd, a kind of network planning device based on service distribution, it is characterised in that including：Processor, the service distribution figure for obtaining area to be planned, the service distribution figure includes the distribution of traffic situation in the area to be planned； Memory, for storing the service distribution figure that the processor is obtained；The processor, is additionally operable to that service distribution figure progress rasterizing processing is obtained at least one grid according to default rasterizing precision, at least one described grid is aggregated into at least one traffic hotspots；At least one described traffic hotspots are divided to the packet of at least one focus, at least one focus packet includes the packet of the first focus, and the quantity of the focus packet is equal with default website quantity；The positional information for the weighted center that the portfolio and first focus that the portfolio of each traffic hotspots in being grouped according to first focus and the positional information of weighted center obtain the first focus packet are grouped；

The memory, is additionally operable to store the positional information of the portfolio for first focus packet that the processor is obtained and the weighted center of first focus packet；

The processor, it is additionally operable at the weighted center of first focus packet set website, and with reference to the number of sectors or number of cells in the default website, the portfolio being grouped according to first focus adjusts the antenna works parameter of the website.

44th, the network planning device according to claim 43 based on service distribution, it is characterised in that the processor, is additionally operable to obtain the distribution of traffic situation in the area to be planned by MDT, and generate the service distribution figure；

Or,

The processor, is additionally operable to obtain the distribution of traffic situation in the area to be planned by the MDT；With reference to the distribution of traffic situation after the distribution of traffic situation in the area to be planned obtained and the area to be planned preset time of prediction, the service distribution figure is generated.

45th, the network planning device according to claim 43 based on service distribution, it is characterized in that, the processor, is additionally operable at least one grid according to the default rasterizing precision obtains service distribution figure progress rasterizing processing；Obtain in the weighting of at least one grid ' ^ positional information；According in the weighting of at least one grid ' ^ positional information at least one described grid is aggregated into described at least one traffic hotspots.

46th, the network planning device based on service distribution according to claim 43 or 45, it is characterized in that, the processor, is additionally operable to carried out the service distribution figure according to default rasterizing precision after rasterizing processing obtains at least one grid, obtain it is described at least one The portfolio of grid, and according to the portfolio and the positional information of weighted center of each grid included at least one described traffic hotspots, calculate the positional information of the portfolio of at least one traffic hotspots and the weighted center of at least one traffic hotspots.

47th, the network planning device based on service distribution according to claim 43 or 45, it is characterised in that at least one described grid includes the first grid and the second grid；At least one described traffic hotspots include the first traffic hotspots；

The processor, if being additionally operable to the distance between the weighted center of first grid and the weighted center of second grid less than first threshold, first traffic hotspots are aggregated into by first grid and second grid.

48th, the network planning device according to claim 47 based on service distribution, it is characterised in that at least one described grid also includes the 3rd grid；

The processor, it is additionally operable to aggregate into after first traffic hotspots by first grid and second grid, if the distance between weighted center of the weighted center of first traffic hotspots and the 3rd grid is less than the first threshold, first traffic hotspots and the 3rd grid are aggregated into new first traffic hotspots；According to the positional information of the weighted center of the portfolio of first traffic hotspots, the portfolio of the 3rd grid, the positional information of the weighted center of first traffic hotspots and the 3rd grid, the positional information of the portfolio of new first traffic hotspots and the weighted center of new first traffic hotspots is updated；

And/or；At least one described traffic hotspots also include the second traffic hotspots；

The processor, it is additionally operable to aggregate into after first traffic hotspots by first grid and second grid, if the distance between the weighted center of first traffic hotspots and the weighted center of second traffic hotspots are less than the first threshold, first traffic hotspots and second traffic hotspots are aggregated into new first traffic hotspots；According to the positional information of the weighted center of the portfolio of first traffic hotspots, the portfolio of second traffic hotspots, the positional information of the weighted center of first traffic hotspots and second traffic hotspots, the positional information of the portfolio of new first traffic hotspots and the weighted center of new first traffic hotspots is updated.

49th, the network planning device according to claim 46 based on service distribution, its It is characterised by, the processor, if the portfolio for being additionally operable at least one grid is less than the first portfolio, the portfolio of at least one grid is set to first portfolio；If the portfolio of at least one grid is more than the second portfolio, the portfolio of at least one grid is set to second portfolio；Wherein, first portfolio is the grid minimal service amount pre-set, and second portfolio is the grid traffic peak pre-set.

50th, the network planning device based on service distribution according to claim 43 or 46, it is characterized in that, the processor, it is additionally operable to according to the descending order of the portfolio of at least one traffic hotspots, with reference to the distribution of the weighted center of at least one traffic hotspots, at least one initialization weighted center is determined at least one described traffic hotspots weighted center, the quantity of the initialization weighted center is identical with the default website quantity；At least one described traffic hotspots include the first traffic hotspots；According to the distance and the first parameter of the weighted center of first traffic hotspots at least one initialization weighted center, using the cost distance of the weighted center of the first traffic hotspots described in default cost function calculation at least one initialization weighted center described in；First parameter includes：Path loss and at least one in the Signal Interference and Noise Ratio SINR that receives signal of the weighted center of first traffic hotspots at least one initialization weighted center；The obtained cost will be calculated in, the focus packet that first traffic hotspots are belonged to is defined as apart from corresponding initialization weighted center according to the ascending primary cost that is arranged sequentially.

51st, the network planning device according to claim 46 based on service distribution, it is characterised in that the portfolio of first traffic hotspots is the portfolio of the first grid and the portfolio sum of the second grid；

The processor, the positional information of the weighted center of the first traffic hotspots described in the positional information calculation for the weighted center for being additionally operable to portfolio according to first grid, the positional information of the weighted center of first grid, the portfolio of second grid and second grid.

52nd, the network planning device according to claim 46 based on service distribution, it is characterized in that, the processor, the portfolio for each traffic hotspots being additionally operable in being grouped according to first focus calculates the portfolio that first focus is grouped, and the portfolio of the first focus packet is the portfolio sum of each traffic hotspots during first focus is grouped；Root The positional information of the weighted center of first focus packet described in the portfolio of each traffic hotspots and the positional information calculation of weighted center in being grouped according to first focus.

53rd, the network planning device based on service distribution according to any one of claim 50-52, it is characterized in that, the processor, it is additionally operable to the distance and the second parameter of weighted center being grouped according to the weighted center of first traffic hotspots at least one described focus, the cost distance for the weighted center being grouped using the weighted center of the first traffic hotspots described in the default cost function calculation at least one described focus；Second parameter includes：At least one of in the path loss for the weighted center that the weighted center of the traffic hotspots is grouped to first focus and the SINR of reception signal；It will calculate in obtained cost distance, be redefined according to by ' J, to the big primary cost that is arranged sequentially apart from the weighted center that the corresponding focus is grouped as the packet-weighted center of first traffic hotspots；The packet-weighted center of first traffic hotspots redefined is occupied, the positional information of the weighted center for the focus packet that first traffic hotspots are belonged to is updated.

54th, the network planning device based on service distribution according to any one of claim 43, it is characterised in that the processor, is additionally operable at the weighted center of first focus packet set website；According to the number of sectors or number of cells in the default website, first focus packet is divided at least one sub- focus and is grouped, and obtain the positional information of the portfolio of the sub- focus packet and the weighted center of sub- focus packet；The antenna works parameter of the website is adjusted, so that the main lobe of the antenna points to the weighted center of the sub- focus packet.

55th, a kind of network optimization device based on service distribution, it is characterised in that including：Processor, the service distribution figure for obtaining region to be optimized, the service distribution figure includes the distribution of traffic situation in the region to be optimized；

Memory, for storing the service distribution figure that the processor is obtained；

The processor, it is additionally operable to that service distribution figure progress rasterizing processing is obtained at least one grid according to default rasterizing precision, at least one described grid is aggregated into at least one traffic hotspots, and obtains the positional information of the weighted center of at least one traffic hotspots；The memory, is additionally operable to store the positional information of the weighted center at least one traffic hotspots that the processor is obtained； The processor, it is additionally operable to the quantity and positional information according to existing website, with reference to the positional information of the weighted center of at least one traffic hotspots, at least one described traffic hotspots are divided to the packet of at least one focus, and obtain the portfolio of at least one focus packet；At least one focus packet includes the packet of the first focus；

The memory, is additionally operable to store the portfolio at least one described focus packet that the processor is obtained；

The processor, is additionally operable to reference to the number of sectors or number of cells in the default existing website, the portfolio being grouped according to first focus adjusts the antenna works parameter of the existing website.

56th, the network optimization device according to claim 55 based on service distribution, it is characterised in that the processor, is additionally operable to obtain the distribution of traffic situation in the region to be optimized by MDT, and generate the service distribution figure；Or,

The processor, is additionally operable to obtain the distribution of traffic situation in the region to be optimized by the MDT；With reference to the distribution of traffic situation after the distribution of traffic situation in the region to be optimized obtained and the region preset time to be optimized of prediction, the service distribution figure is generated.

57th, the network optimization device according to claim 55 based on service distribution, it is characterized in that, the processor, is additionally operable to that the service distribution figure is carried out into rasterizing processing according to the default rasterizing precision, obtains at least one described grid；Obtain the positional information of the portfolio of at least one grid and the weighted center of at least one grid；At least one traffic hotspots according to the positional information of the weighted center of at least one grid aggregates at least one described grid；According to the portfolio and the positional information of weighted center of each grid included at least one described traffic hotspots, the positional information of the portfolio of at least one traffic hotspots and the weighted center of at least one traffic hotspots is calculated.

58th, the network optimization device according to claim 57 based on service distribution, it is characterised in that at least one described grid includes the first grid and the second grid；At least one described traffic hotspots include the first traffic hotspots；

The processor, if the distance between the weighted center of first grid and the weighted center of second grid are additionally operable to less than first threshold, by first grid and described second Grid aggregates into first traffic hotspots；According to the portfolio and the positional information of weighted center of each grid included at least one described traffic hotspots, the positional information of the portfolio of at least one traffic hotspots and the weighted center of at least one traffic hotspots is calculated, is specifically included：The positional information of the weighted center of the portfolio of the first traffic hotspots and first traffic hotspots according to the positional information calculation of the weighted center of the portfolio of first grid, the portfolio of second grid, the positional information of the weighted center of the-grid and second grid.

59th, the network optimization device according to claim 58 based on service distribution, it is characterised in that at least one described grid also includes the 3rd grid；

First traffic hotspots and the 3rd grid, if being additionally operable to the distance between the weighted center of first traffic hotspots and the weighted center of the 3rd grid less than the first threshold, are aggregated into new first traffic hotspots by the processor；According to the positional information of the weighted center of the portfolio of first traffic hotspots, the portfolio of the 3rd grid, the positional information of the weighted center of first traffic hotspots and the 3rd grid, the positional information of the portfolio of new first traffic hotspots and the weighted center of new first traffic hotspots is updated；

And/or；At least one described traffic hotspots also include the second traffic hotspots；

The processor, if being additionally operable to the distance between the weighted center of first traffic hotspots and the weighted center of the second traffic hotspots less than the first threshold, first traffic hotspots and second traffic hotspots are aggregated into new first traffic hotspots；According to the positional information of the weighted center of the portfolio of first traffic hotspots, the portfolio of second traffic hotspots, the positional information of the weighted center of first traffic hotspots and second traffic hotspots, the positional information of the portfolio of new first traffic hotspots and the weighted center of new first traffic hotspots is updated.

60th, the network optimization device based on service distribution according to claim 55 or 57, it is characterized in that, the processor, if the portfolio for being additionally operable at least one grid is less than the first portfolio, the portfolio of at least one grid is set to first portfolio；If the portfolio of at least one grid is more than the second portfolio, the portfolio of at least one grid is set to second portfolio； Wherein, first portfolio is the grid minimal service amount pre-set, and second portfolio is the grid traffic peak pre-set.

61st, the network optimization device according to claim 55 based on service distribution, it is characterised in that at least one described traffic hotspots include the first traffic hotspots；

The processor, is additionally operable to distance and the first parameter to the existing website according to the weighted centers of first traffic hotspots, using the weighted center of the first traffic hotspots described in default cost function calculation to the existing cost distance of website at least one described；First parameter includes：Path loss and at least one in the SINR that receives signal of the weighted center of first traffic hotspots to the existing website；To calculate in obtained cost distance, according to by ' J, to it is big be arranged sequentially the primary cost and be defined as the focus that first traffic hotspots are belonged to apart from the corresponding existing website be grouped.

62nd, the network optimization device based on service distribution according to claim 55 or 61, it is characterized in that, the processor, the portfolio for each traffic hotspots being additionally operable in being grouped according to first focus calculates the portfolio that first focus is grouped, and the portfolio of the first focus packet is the portfolio sum of each traffic hotspots during first focus is grouped.

63rd, the network optimization device based on service distribution according to claim 55 or 61, it is characterized in that, the processor, it is additionally operable to according to the number of sectors or number of cells in the default existing website, first focus packet is divided at least one sub- focus packet, and obtains the positional information of the portfolio of the sub- focus packet and the weighted center of sub- focus packet；The antenna works parameter of the website is adjusted, so that the main lobe of the antenna points to the weighted center of the sub- focus packet.