CN104754590A - Method and device for assessing LTE (long term evolution) network sites - Google Patents

Abstract

The invention discloses a method and a device for assessing LTE network sites. The method comprises obtaining named types wireless data in a named communication network; correlating the obtained wireless data to determine the correspondence between a terminal corresponding to the wireless data and a region the terminal belongs to; according to the correspondence, determining the assessed value corresponding to every LTE network sit. The method for assessing the LTE network sites can obtain data sources in various ways, thereby enabling base station construction to meet requirements, improving the efficiency and reducing the cost.

Description

A method and device for assessing long term evolution LTE network site

technical field

The present invention relates to the technical field of wireless communication, in particular to a method and device for evaluating a Long Term Evolution (LTE, Long Term Evolution) network site.

Background technique

Wireless network value assessment is a relatively important content in the wireless network planning process, and it is the basis for ensuring wireless network performance and subsequent benefits. Using the value evaluation dimension to accurately conduct a comprehensive analysis of the measured wireless data on the live network can more comprehensively analyze the value of the base station site. Conversely, a value evaluation result with a large deviation will make it difficult to achieve the planning goal and fail to achieve the result of improving engineering efficiency.

The existing wireless network planning is divided into three parts: an information collection stage, a wireless network pre-planning stage and a wireless network cell planning stage. in:

Part I: Information Gathering Phase. The information collection stage is mainly carried out in the initial stage of the network. The collected information is mainly used for link budget, network estimation, and network simulation. The focus includes target continuous coverage service requirements, coverage probability, quality requirements, coverage area, user density, user Behavior, working frequency band, digital map and other information.

Part II: Wireless network pre-planning stage. Pre-planning is the preliminary planning of the future network without on-site site survey, mainly including network estimation, initial site selection, and system simulation.

The third part: wireless network cell planning stage. On the basis of wireless network pre-planning, carry out field survey and verification for the selection of each site (for sites that do not meet the requirements and sites that cannot be obtained, the site selection should be performed according to the search output from the pre-planning), and determine the various items to guide the construction of the project Network planning related community engineering parameters, and verify community parameter settings and planning effects through simulation.

The current wireless network planning mainly has the following defects: First, the data source used in the current planning method is mainly engineering parameters, and this method seldom considers the massive wireless data (drive test, TD-MR and other data that actually reflect user perception), so it is difficult to achieve the planning target after the actual network is built. Second: the current network has problems such as TD-SCDMA base station construction inconsistent with business requirements, TD-SCDMA network coverage is good but no business is generated, there are GSM high-traffic areas but no TD-SCDMA coverage and other problems. Thirdly, when building according to the site planning results, it is impossible to distinguish the priority of the site, which is not conducive to building in batches and stages, with low efficiency and high cost.

To sum up, when the existing wireless network planning determines the site of the base station, the data source is single, the construction of the base station does not match the demand, and the efficiency is low and the cost is high.

Contents of the invention

The invention provides a method and device for evaluating LTE network sites, which can obtain data sources in various aspects, make base station construction match requirements, improve efficiency, and reduce costs.

A method for evaluating a long-term evolution LTE network site, comprising: obtaining wireless data of a specified type in a specified communication network; associating the obtained wireless data, and determining the relationship between the terminal corresponding to the wireless data and the home area of the terminal The corresponding relationship; according to the corresponding relationship, determine the evaluation value corresponding to each LTE network site.

Based on the wireless data in the specified network, the method of evaluating the LTE network site based on multi-dimensional value is proposed. This scheme adopts a comprehensive analysis from multiple dimensions, which makes up for the single data source of the existing planning method and relies too much on theoretical models and tools. insufficient.

Determining the corresponding relationship between the terminal corresponding to the wireless data and the area to which the terminal belongs includes: determining the signal characteristics corresponding to each area according to the obtained wireless data; and determining the network signal characteristics reported by the terminal in the wireless data, and The network signal feature is matched with the determined signal feature, and a corresponding relationship between the terminal corresponding to the wireless data and the home area of the terminal is determined.

According to the corresponding relationship, determining the evaluation value corresponding to each LTE network site site includes: according to the established corresponding relationship, determining the index value corresponding to each area, and the index mean value corresponding to the entire designated communication network; according to the index value and the determined The average value of the above indicators is used to determine the evaluation value corresponding to each LTE network site.

Determine the index value corresponding to each area in the following manner: for any area, determine the score corresponding to each evaluation index corresponding to the area; compare the score corresponding to each evaluation index corresponding to the area with the corresponding weight value The sum value after multiplication is used as the area indicator value of the area.

The score corresponding to each evaluation index corresponding to the area is determined in the following manner: index score = index score of the area / (average value of the index in the entire designated communication network*K); where K is preset value.

A device for evaluating a long-term evolution LTE network site, comprising: an obtaining module, used to obtain wireless data of a specified type in a specified communication network; a first determination module, used to associate the obtained wireless data, and determine the wireless data The corresponding relationship between the terminal corresponding to the data and the home area of the terminal; the second determination module is configured to determine the evaluation value corresponding to each LTE network site according to the corresponding relationship.

Based on the wireless data in the specified network, the method of evaluating the LTE network site based on multi-dimensional value is proposed. This scheme adopts a comprehensive analysis from multiple dimensions, which makes up for the single data source of the existing planning method and relies too much on theoretical models and tools. insufficient.

The first determination module is specifically configured to determine the signal characteristics corresponding to each area according to the obtained wireless data; and determine the network signal characteristics reported by the terminal in the wireless data, and include the network signal characteristics in the determined signal characteristics matching, determining a corresponding relationship between the terminal corresponding to the wireless data and the home area of the terminal.

The second determination module is specifically used to determine the index value corresponding to each area and the index mean value corresponding to the entire designated communication network according to the established corresponding relationship; determine each LTE network station according to the index value and the index mean value. The evaluation value corresponding to the address.

The second determination module is specifically used to determine the index value corresponding to each area in the following manner: for any area, determine the score corresponding to each evaluation index corresponding to the area; The sum of the multiplication of the corresponding score value and the corresponding weight value is used as the area index value of the area.

The second determination module is specifically configured to determine the scores corresponding to each evaluation index corresponding to the area in the following manner: index score = index score of the area / (the number of the index in the entire specified communication network Index mean value*K); among them, K is a preset value.

Description of drawings

In the embodiment of the present invention in Fig. 1, the method flowchart of the proposed method for evaluating the LTE network site;

FIG. 2 is a schematic diagram of the structural composition of the device for evaluating the site of the LTE network proposed in the embodiment of the present invention.

Detailed ways

The main realization principles, specific implementation methods and corresponding beneficial effects of the technical solutions of the embodiments of the present invention will be described in detail below with reference to each accompanying drawing.

The embodiment of the present invention proposes a method for evaluating an LTE network site, as shown in FIG. 1 , and its specific processing flow is as follows:

Step 11, obtaining wireless data of a specified type in a specified communication network.

In the technical solution proposed by the embodiment of the present invention, the designated communication network may be a second-generation and/or third-generation communication network, such as a TD-SCDMA network. A preferred implementation manner, in the technical solution proposed by the embodiment of the present invention, the wireless data in the TD-SCDMA network is taken as an example to elaborate in detail, and the obtained wireless data in the TD-SCDMA network includes at least the following kind:

The first type: based on TD-SCDMA user perception measurement record (abbreviation: TD-MR) data.

TD-MR data is mainly divided into downlink signal TD-MR data and uplink signal TD-MR data. The downlink TD-MR may include the reception quality and reception level of the downlink channel of the serving cell measured for the terminal, and the downlink level of the main frequency point of the neighboring cell. The uplink signal TD-MR may include the current uplink channel quality, reception level and timing advance (TA) measured by the base station.

TD-MR data can accurately reflect the wireless signal situation of the main serving cell and neighboring cells received by the terminal at the current location, the coverage of the main serving cell, the coverage overlap and carrier-to-interference ratio of all neighboring cells and the main serving cell, Effective use of TD-MR data can be used for network evaluation and optimization, which can make up for the shortcomings of traditional wireless propagation model prediction.

The second type: user business history data.

User service history data can be user basic information, problem location information, service quality evaluation, network optimization information, user traffic information, etc.

The third type: the user's terminal library.

TAC number query can be used to realize terminal-based access control, security status detection and behavior auditing, real-time monitoring of terminal network access and USB usage behavior, and user terminal information, important VIP user terminal type and other information.

The fourth type: existing TD-SCDMA network engineering parameter data.

It may include base station information, cell information and other information.

The fifth type: data flow information.

For example, it can include interface data between SGSN and SGSN on the network side and between SGSN and GGSN, and can query user signaling data, including attachment, PDP activation, routing area update, and user service data.

The sixth type: user complaints and key user data.

It can include statistical complaints and service usage of VIP users.

Step 12, correlating the obtained wireless data, and determining the corresponding relationship between the terminal corresponding to the wireless data and the home area of the terminal.

According to the obtained wireless data, the corresponding signal characteristics of each area are determined. Determine the network signal feature reported by the terminal in the wireless data, match the network signal feature with the determined signal feature, and determine the correspondence between the terminal corresponding to the wireless data and the terminal's home area.

In this step, determining the corresponding relationship between the terminal corresponding to the wireless data and the area to which the terminal belongs is equivalent to geographically locating the terminal, and determining the geographic location of the terminal according to the wireless data. The basis of terminal geolocation is coverage prediction. Through coverage prediction, the network signal feature database, which can also be called the grid network signal feature database, is obtained and matched with the actual measurement report data. Thereby determining the location point of the terminal location.

Specifically, firstly, the signal characteristics corresponding to each area may be determined according to the obtained wireless data.

Wherein, the signal features corresponding to each region form a signal feature library.

A preferred implementation mode, in the technical solution proposed by the embodiment of the present invention, the coverage level prediction of the target network coverage area can be performed by a simulation tool, and then the area is gridded according to the granularity, and the area is further divided into granularity smaller subregions. Obtain the coverage signals of all cells falling into each grid (that is, the divided sub-region), sort and filter the strongest n cell signals as the signal characteristics of the grid (that is, the divided sub-region), then All raster signal features constitute a signal feature library.

Secondly, data matching is performed, the terminal is positioned, and the geographical area to which the terminal belongs is determined.

The measurement report periodically reported by the terminal collected on the network side includes level measurements of multiple cells, and the level measurements may be used as signal characteristics. Use this feature to perform a matching search in the pre-built signal feature library. The cell and level contained in the grid in the signal feature library have the largest matching degree with the cell and level contained in the measurement information actually reported by the terminal. Geolocation as a targeting result.

Specifically, the measurement report format reported by the terminal is shown in Table 1 below.

Table 1

Finally, for the positioned terminal, carry out correlation analysis on the call history data (including data traffic and other information) and TD-MR data, business data, terminal database data, etc., and output grid-level traffic hotspots corresponding to the base station site map, terminal distribution map, user distribution map, service distribution map, etc.

Step 13: Determine the evaluation value corresponding to each LTE network site according to the corresponding relationship.

According to the established corresponding relationship, determine the index value corresponding to each area, and the index average value corresponding to the entire designated communication network, and determine the evaluation value corresponding to each LTE network site according to the index value and the index average value.

The index value corresponding to each area can be determined in the following manner: for any area, determine the score corresponding to each evaluation index corresponding to the area; the score corresponding to each evaluation index corresponding to the area and the corresponding weight value The sum value after multiplication is used as the area indicator value of the area.

The scores corresponding to each evaluation indicator corresponding to the region may be determined in the following manner:

Indicator score = indicator score in the area/(average value of the indicator in the entire designated communication network*K);

Wherein, K is a preset value. Specifically, the value of K may be 1.2.

In specific implementation, data such as the flow rate of each grid, the rate of using TD-SCDMA, the number of terminals, terminal distribution, and service flow distribution can be determined according to the established corresponding relationship, that is, the result of terminal positioning.

The index corresponding to each evaluation index is assigned a score, which can be called the index score. In specific implementation, when the index value on a certain grid point is greater than k times the average value of the index in the entire grid, the grid point is given a corresponding score. In the specific implementation, the corresponding score of the grid point is given = index value in the grid / (the average value of the index of the grid point of the whole network * k), and the K value can be 1.2, which means that one of the grid points If a factor is greater than 1.2 times the average value of the factor, the value score analysis will be performed, and if it is less than this value, the value score of the factor at the grid point will be 0.

Finally, by counting the total score of a single grid = weight 1 x hotspot score + weight 2 x speed score + weight 3 x terminal score + weight 4 x business score. . . . . . The obtained total score of a single grid is the regional index value of the region.

Optionally, after the above step 13, it may also include:

According to the obtained area index value, the priority of setting the LTE network base station site in the area is determined.

In specific implementation, the regional index values corresponding to the geographical areas included in the coverage of the base station can be counted, and then sorted according to the scores. The ranking reflects the value of the base station and the priority of site construction.

Correspondingly, an embodiment of the present invention also proposes an apparatus for evaluating an LTE network site, as shown in FIG. 2 , including:

The obtaining module 201 is configured to obtain wireless data of a specified type in a specified communication network.

The first determining module 202 is configured to associate the obtained wireless data, and determine a corresponding relationship between the terminal corresponding to the wireless data and the home area of the terminal.

Specifically, the above-mentioned first determination module 202 is specifically configured to determine the signal characteristics corresponding to each area according to the obtained wireless data; and determine the network signal characteristics reported by the terminal in the wireless data, and determine the network signal characteristics in the determined Matching in signal features determines a correspondence between the terminal corresponding to the wireless data and the home area of the terminal.

The second determination module 203 is configured to determine the evaluation value corresponding to each LTE network site according to the correspondence relationship.

Specifically, the above-mentioned second determination module 203 is specifically configured to determine the index value corresponding to each area and the index average value corresponding to the entire designated communication network according to the established corresponding relationship; The evaluation value corresponding to the LTE network site.

Specifically, the above-mentioned second determination module 203 is specifically configured to determine the index value corresponding to each area in the following manner: for any area, determine the score corresponding to each evaluation index corresponding to the area; The sum of the multiplication of the scores corresponding to each evaluation index and the corresponding weight value is used as the area index value of the area.

Specifically, the above-mentioned second determination module 203 is specifically configured to determine the scores corresponding to each evaluation index corresponding to the area in the following manner: index score=index score of the area/(all the values in the entire specified communication network The index mean value of the above indicators*K); where, K is a preset value.

In the technical solution proposed by the embodiment of the present invention, a method for evaluating LTE networks based on multi-dimensional value using existing network TD-SCDMA data is proposed. This solution uses various types of TD-SCDMA existing network wireless data, and conducts comprehensive The analysis makes up for the shortcomings of the existing planning methods, which have a single source of analysis data and rely too much on theoretical models and tools.

Those skilled in the art should understand that the embodiments of the present invention may be provided as methods, devices (devices), or computer program products. Accordingly, the present invention can take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.

The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (devices) and computer program products according to embodiments of the invention. It should be understood that each procedure and/or block in the flowchart and/or block diagram, and a combination of procedures and/or blocks in the flowchart and/or block diagram can be realized by computer program instructions. These computer program instructions may be provided to a general purpose computer, special purpose computer, embedded processor, or processor of other programmable data processing equipment to produce a machine such that the instructions executed by the processor of the computer or other programmable data processing equipment produce a An apparatus for realizing the functions specified in one or more procedures of the flowchart and/or one or more blocks of the block diagram.

These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing apparatus to operate in a specific manner, such that the instructions stored in the computer-readable memory produce an article of manufacture comprising instruction means, the instructions The device realizes the function specified in one or more procedures of the flowchart and/or one or more blocks of the block diagram.

These computer program instructions can also be loaded onto a computer or other programmable data processing device, causing a series of operational steps to be performed on the computer or other programmable device to produce a computer-implemented process, thereby The instructions provide steps for implementing the functions specified in the flow chart or blocks of the flowchart and/or the block or blocks of the block diagrams.

While preferred embodiments of the invention have been described, additional changes and modifications to these embodiments can be made by those skilled in the art once the basic inventive concept is appreciated. Therefore, it is intended that the appended claims be construed to cover the preferred embodiment as well as all changes and modifications which fall within the scope of the invention.

Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention also intends to include these modifications and variations.

Claims (10)

1. assess a method for Long Term Evolution LTE network site, it is characterized in that, comprising:

Obtain the wireless data of the specified type in designated communication network;

The wireless data obtained is associated, determines the corresponding relation between the terminal that described wireless data is corresponding and described terminal attaching region;

According to described corresponding relation, determine the assessed value that each LTE network site is corresponding.

2. the method for claim 1, is characterized in that, determines the corresponding relation between the terminal that described wireless data is corresponding and described terminal attaching region, comprising:

According to acquisition wireless data, determine the signal characteristic that each region is corresponding; And

Determine the network signal feature of terminal to report in described wireless data, described network signal feature is mated in the signal characteristic determined, determine the corresponding relation between the terminal that described wireless data is corresponding and described terminal attaching region.

3. the method for claim 1, is characterized in that, according to described corresponding relation, determines to comprise the assessed value that each LTE network site is corresponding:

According to the corresponding relation set up, determine the desired value that each region is corresponding, and the index average that whole designated communication network is corresponding;

According to described desired value and described index average, determine the assessed value that each LTE network site is corresponding.

4. method as claimed in claim 3, is characterized in that, determine the desired value that each region is corresponding in the following manner:

For arbitrary region, determine the score value that each evaluation index corresponding to described region is corresponding;

After being multiplied with corresponding weighted value by score value corresponding for each corresponding for described region evaluation index and value, as the zone index value in described region.

5. method as claimed in claim 4, is characterized in that, determines the score value that each evaluation index corresponding to described region is corresponding in the following manner:

Index score value/(the index average * K of index described in whole designated communication network) in index score value=described region

Wherein, K is for presetting numerical value.

6. assess a device for Long Term Evolution LTE network site, it is characterized in that, comprising:

Obtain module, for obtaining the wireless data of the specified type in designated communication network;

First determination module, for associating the wireless data obtained, determines the corresponding relation between the terminal that described wireless data is corresponding and described terminal attaching region;

Second determination module, for according to described corresponding relation, determines the assessed value that each LTE network site is corresponding.

7. device as claimed in claim 6, is characterized in that, described first determination module, specifically for according to acquisition wireless data, determines the signal characteristic that each region is corresponding; And determine the network signal feature of terminal to report in described wireless data, described network signal feature is mated in the signal characteristic determined, determines the corresponding relation between the terminal that described wireless data is corresponding and described terminal attaching region.

8. device as claimed in claim 6, is characterized in that, described second determination module, specifically for according to the corresponding relation set up, determines the desired value that each region is corresponding, and the index average that whole designated communication network is corresponding; According to described desired value and described index average, determine the assessed value that each LTE network site is corresponding.

9. device as claimed in claim 8, is characterized in that, described second determination module, specifically for determining the desired value that each region is corresponding in the following manner: for arbitrary region, determines the score value that each evaluation index corresponding to described region is corresponding; After being multiplied with corresponding weighted value by score value corresponding for each corresponding for described region evaluation index and value, as the zone index value in described region.

10. device as claimed in claim 9, it is characterized in that, described second determination module, specifically for determining the score value that each evaluation index corresponding to described region is corresponding in the following manner: index score value/(the index average * K of index described in whole designated communication network) in index score value=described region; Wherein, K is for presetting numerical value.