CN103796226B - A kind of network optimized approach and device - Google Patents
A kind of network optimized approach and device Download PDFInfo
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- CN103796226B CN103796226B CN201210426152.9A CN201210426152A CN103796226B CN 103796226 B CN103796226 B CN 103796226B CN 201210426152 A CN201210426152 A CN 201210426152A CN 103796226 B CN103796226 B CN 103796226B
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Abstract
The invention discloses a kind of network optimized approach and device, the effect to solve the network optimization in the prior art is not good, the problem of quality of service for causing cell to provide is relatively low.This method carries out number of times and the moment of business according to each user in cell, determine the quantity of the corresponding strong correlation user of the cell, and determine therefrom that the optimization priority of the cell, according to the optimization priority of cell distribution optimization resource, the optimization resource based on distribution carries out the network optimization to the cell.Due to the above method it is determined that cell optimization priority when, it is to determine the quantity of the corresponding strong correlation user of the cell at the number of times of the business first carried out according to the user in the cell and moment, determined further according to the quantity of the corresponding strong correlation user of the cell, therefore the optimization priority of the cell can accurately be determined, so as to which subsequently resource reasonably can be optimized for cell distribution, and then the effective effect for improving the network optimization, the quality of the business of cell offer is provided.
Description
Technical field
The present invention relates to the communications field, more particularly to a kind of network optimized approach and device.
Background technology
At present, cordless communication network has been able to provide the user increasing business, in order to improve quality of service, leads to
Often the network optimization is carried out to cordless communication network for the business.
Because the network optimization can be limited by the optimization resource such as frequency resource or overall cost, therefore, to nothing
When line communication network carries out the network optimization, it is thus necessary to determine that the optimization priority of each cell in cordless communication network, to determine
Which cell is optimized using limited optimization resource emphasis.
In the prior art, the method for determining the optimization priority of each cell in cordless communication network is：For each
Cell, according to the Key Performance Indicator of the cell（Key Performance Indicator, KPI）, determine the optimization of the cell
Priority.Wherein, the KPI of the cell is lower, then the optimization priority of the cell is higher, conversely, the KPI of the cell is higher, then
The optimization priority of the cell is lower., then can be according to the optimization of each cell after the optimization priority of each cell is determined
Priority, is each cell distribution optimization resource, and is based upon the optimization resource of each cell distribution and carries out the network optimization to each cell,
To carry out the network optimization using the limited optimization resource priority cell higher to optimization priority.
However, the optimization priority for determining each cell according to the KPI of each cell in the prior art is inaccurate, this is
Because for a cell, when considering whether the cell should be by the preferential carry out network optimization, should mainly consider this
The factors such as the portfolio of business that the user in number of users, the cell in cell is carried out.
For example, for two KPI all very low cells, if the user in first cell is more, portfolio is also very big,
And the user in second cell is less, portfolio is also smaller, then obviously should to user, more, portfolio is larger first
Cell preference carries out the network optimization.
And according to method of the prior art, due to determining that the optimization of two cells is preferential according to the KPI of the two cells
Level, therefore the optimization priority of the two cells is likely to be equal, so that, the network optimization is being carried out to the two cells
When, it is not preferential that the network optimization is carried out to first cell, that is, being distributed from limited optimization resource for the two cells
's（For carrying out the network optimization to the two cells）It is identical to optimize resource, and this may result in follow-up network optimization effect
It is not good, it is impossible to effective that the quality of service that cell is provided is improved by the network optimization.
The content of the invention
The embodiment of the present invention provides a kind of network optimized approach and device, the effect to solve the network optimization in the prior art
Fruit is not good, the problem of quality of service for causing cell to provide is relatively low.
The embodiment of the present invention provides a kind of network optimized approach, including：
For a cell, it is determined that each user carries out the number of times of business in the cell and carries out business every time
Moment；
At the time of the number of times of business is carried out in the cell according to each user of determination and business is carried out every time, it is determined that
The quantity of the corresponding strong correlation user of the cell；
According to the quantity of the corresponding strong correlation user of the cell of determination, the optimization priority of the cell is determined；
It is the cell distribution optimization resource, and be based upon described small according to the optimization priority of the cell of determination
The optimization resource of area's distribution carries out the network optimization to the cell.
The embodiment of the present invention provides a kind of network optimization device, including：
Business determining module, for for a cell, it is determined that each user carries out the number of times of business in the cell
And at the time of each progress business；
Strong correlation user's determining module, for carried out according to each user of determination in the cell business number of times and
At the time of carrying out business every time, the quantity of the corresponding strong correlation user of the cell is determined；
Optimize Priority Determination module, for the quantity of the corresponding strong correlation user of the cell according to determination, it is determined that
The optimization priority of the cell；
Network optimization module, is the cell distribution optimization money for the optimization priority of the cell according to determination
Source, and it is based upon the optimization resource of the cell distribution to the cell progress network optimization.
The embodiment of the present invention provides a kind of network optimized approach and device, and this method is used for a cell according to each
Family carries out number of times and the moment of business in the cell, determines the quantity of the corresponding strong correlation user of the cell, and small according to this
The quantity of the corresponding strong correlation user in area determines the optimization priority of the cell, and the optimization priority finally according to the cell is to be somebody's turn to do
Cell distribution optimization resource, the optimization resource based on distribution carries out the network optimization to the cell.Due in the embodiment of the present invention
It is the number of times of the business first carried out according to the user in the cell and moment to determine to be somebody's turn to do when determining the optimization priority of cell
The quantity of the corresponding strong correlation user of cell, is determined further according to the quantity of the corresponding strong correlation user of the cell, therefore can
Accurately to determine the optimization priority of the cell, so that can be reasonably subsequently cell distribution optimization resource, and then
The effective effect for improving the network optimization, improves the quality of the business of cell offer.
Brief description of the drawings
Fig. 1 is network optimization process provided in an embodiment of the present invention；
Fig. 2 is the detailed process of the network optimization provided in an embodiment of the present invention；
Fig. 3 is network optimization device structural representation provided in an embodiment of the present invention.
Embodiment
The embodiment of the present invention provides a kind of network optimized approach and device, and this method is used for a cell according to each
Family carries out number of times and the moment of business in the cell, determines the quantity of the corresponding strong correlation user of the cell, and small according to this
The quantity of the corresponding strong correlation user in area determines the optimization priority of the cell, and the optimization priority finally according to the cell is to be somebody's turn to do
Cell distribution optimization resource, the optimization resource based on distribution carries out the network optimization to the cell.Due in the embodiment of the present invention
It is the number of times of the business first carried out according to the user in the cell and moment to determine to be somebody's turn to do when determining the optimization priority of cell
The quantity of the corresponding strong correlation user of cell, is determined further according to the quantity of the corresponding strong correlation user of the cell, therefore can
Accurately to determine the optimization priority of the cell, so that can be reasonably subsequently cell distribution optimization resource, and then
The effective effect for improving the network optimization, improves the quality of the business of cell offer.
The embodiment of the present invention is described in detail with reference to Figure of description.
Fig. 1 is network optimization process provided in an embodiment of the present invention, specifically includes following steps：
S101：For a cell, it is determined that each user carries out the number of times of business in the cell and enters industry every time
At the time of business.
In embodiments of the present invention, it is determined that each user carries out the number of times of business in the cell and carries out business every time
At the time of when, specifically can be according to the default period, it is determined that each user is within the default period and in the cell
At the time of the number of times of carry out business and every time progress business.
For example, the default period can be in past n days, it is determined that each user carries out business in the cell
Number of times and when at the time of carrying out business every time, it may be determined that each user is interior at past n days to enter industry in the cell
The number of times of business, and each user are interior every time in the cell at the time of progress business at past n days.
Specifically, due to subsequently when carrying out the network optimization to the cell, typically for a certain specific business pair
The cell carries out the network optimization, therefore, it is determined that each user carries out time of business in the cell in above-mentioned steps S101
When at the time of number and every time progress business, it can also specifically determine each user within the default period and in the cell
The interior number of times for carrying out the specific business and at the time of carry out the specific business every time.Business described in subsequent step
It is the specific business.
S102：At the time of the number of times of business is carried out in the cell according to each user of determination and business is carried out every time,
Determine the quantity of the corresponding strong correlation user of the cell.
In embodiments of the present invention, if a user frequently carries out business in the cell, the user is determined
For the strong correlation user of the cell.Specifically, due to having determined that each user when default by above-mentioned steps S101
Between at the time of the number of times of business is carried out in section and in the cell and business is carried out every time, accordingly, it is determined that the cell is corresponding
The method of strong correlation user is specifically as follows：For each user, according to each sub- period divided to the default period,
And the user within the default period in the cell every time carry out business at the time of, it is determined that meeting the son of specified requirements
The quantity of period, wherein, for a sub- period, if the sub- period comprising the user carried out in the cell to
At the time of a few business, then the sub- period is the sub- period for meeting specified requirements；If the user is when this is default
Between the number of times of business carried out in section in the cell be more than setting number of times and the son for meeting specified requirements determined for the user
The quantity of period is more than the first setting quantity, it is determined that the user is the corresponding strong correlation user of the cell；According to determination
The corresponding strong correlation user of the cell, determines the quantity of the corresponding strong correlation user of the cell.
Continue to use the example above, it is assumed that the default period is past n days, to the default period（Past n days）
A sub- period by n of 1 day model split as 1 sub- period, then due to being had determined that by above-mentioned steps S101
At the time of each user carried out the number of times of business in the cell in past n days and carries out business every time, therefore, for one
Individual user, if some the sub- period divided（Some day in past n days）The user is contained in the cell to enter
At the time of capable business at least one times, if that is, the user carried out at least one within the sub- period and in the cell
Secondary business, it is determined that the sub- period is the sub- period for meeting specified requirements, it is thus possible to determine satisfaction for the user
The quantity of the sub- period of specified requirements.
Assuming that setting number of times as m, first sets quantity as h, if then the user is in past n days and in the cell
The number of times of interior carry out business is more than m, and the quantity for the sub- period for meeting specified requirements determined for the user is more than
H, then illustrate that the user frequently carried out business in past n days in the cell, and then can determine that the user is exactly this
The corresponding strong correlation user of cell.
Similar, the above method can be used, business was carried out in past n days and in the cell for each
User, determines whether it frequently carried out business in past n days in the cell, to determine whether it is cell correspondence
Strong correlation user.It is follow-up then can according to the corresponding each strong correlation user of the cell determined, determine the cell correspondence
Strong correlation user quantity.
S103：According to the quantity of the corresponding strong correlation user of the cell of determination, the optimization priority of the cell is determined.
In embodiments of the present invention, if the quantity of the corresponding strong correlation user of the cell is more, illustrate frequently small at this
The user of carry out business is more in area, and further relating to that the cell gets over should be therefore, small according to this by the preferential carry out network optimization
The quantity of the corresponding strong correlation user in area determines that the method for the optimization priority of the cell can be specially：This of judgement determination is small
Whether the quantity of the corresponding strong correlation user in area sets quantity not less than second, if, it is determined that the optimization priority of the cell
For the first priority, the optimization priority for otherwise determining the cell is third priority, wherein, the first priority is excellent higher than the 3rd
First level.
For example, it is assumed that second sets quantity as X, if then the quantity of the corresponding strong correlation user of the cell is not less than X, say
The bright user that business is frequently carried out in the cell is more, and the cell should be by the preferential carry out network optimization, it is thus determined that should
The optimization priority of cell is the first priority, whereas if the quantity of the corresponding strong correlation user of the cell is less than X, explanation
The user that business is frequently carried out in the cell is less, and the cell is without by the preferential carry out network optimization, it is thus determined that this is small
The priority in area is third priority.
S104：According to the optimization priority of the cell of determination, optimize resource for cell distribution, and be based upon the cell
The optimization resource of distribution carries out the network optimization to the cell.
Wherein, can be according to optimization priority when being cell distribution optimization resource according to the optimization priority of the cell
Higher, the method that the optimization resource of distribution is more is cell distribution optimization resource, is assigned with after optimization resource, then can be based upon
The optimization resource of cell distribution carries out the network optimization to the cell.
In above process, number of times and the moment of business are first carried out in cell according to each user, the cell pair is determined
The quantity of the strong correlation user answered, the quantity further according to strong correlation user determines the optimization priority of the cell, compared to existing
Simple in technology to be determined to optimize the method for priority according to the KPI of cell, the above method provided in an embodiment of the present invention can be accurate
The true optimization priority for determining cell, so as to can be reasonably subsequently the small differentiation according to the optimization priority of the cell
With optimization resource, and then the effect of the network optimization is effectively improved, the quality of the business of cell offer is provided.
Preferably, the accuracy of the optimization priority in order to further improve the cell determined, after further improving
The effect of the continuous network optimization, is improved in the quality for the business that cell is provided, the embodiment of the present invention it is determined that the optimization of cell is preferential
During level, in addition to considering the quantity of the corresponding strong correlation user of the cell, it is also contemplated that the mean time section business of the cell
Amount, average period portfolio per capita, and strong correlation user account for the ratio of user's total amount of the cell.
Specifically, after determining the optimization priority of cell for the first priority by method as shown in Figure 1, it is determined that
Total traffic of the corresponding each strong correlation user of the cell within the default period and in the cell, according to determination
Total traffic, and each sub- period divided to default period quantity, determine the total traffic and each sub- time
First ratio of the quantity of section, according to the quantity of the first ratio of determination, and the corresponding strong correlation user of the cell, it is determined that should
Second ratio of the quantity of the first ratio strong correlation user corresponding with the cell, when the first ratio is not more than the first setting ratio
When, or, when the second ratio is not more than the second setting ratio, the optimization priority of the cell is redefined preferential for second
Level, wherein, the second priority is less than the first priority and higher than third priority.Also, business method for determination of amount can root
Determined according to specific type of service, if such as business is talk business, portfolio can be telephone traffic, if business is
Data service, then portfolio can be data traffic, just no longer repeat one by one here.
In addition, after determining the optimization priority of cell for third priority by method as shown in Figure 1, it is determined that
The quantity of all users of business was carried out in the default period and in the cell, it is total as the user in the cell
Amount, determines the 3rd ratio of the quantity and user's total amount in the cell of the corresponding strong correlation user of the cell, when the 3rd ratio
When value is not more than the 3rd setting ratio, the optimization priority of the cell is redefined as the 4th priority, wherein, the 4th is preferential
Level is less than third priority.
Continue to use the example above, the default period is past n days, to the default period（Past n days）With one
It is that the model split of a sub- period is n sub- periods, it is assumed that first sets ratio as Z, and second sets ratio as U,
3rd sets ratio as Y, then：
If determining that the optimization priority of cell is the first priority by method as shown in Figure 1, it is determined that the cell
Corresponding each strong correlation user carried out the total traffic of business in past n days in the cell, due to being to past n days
Divided in the way of one day is a sub- period, therefore divided n sub- periods altogether, so that, determine total industry
First ratio of business amount and n, first ratio is mean time section business amount of the cell in past n days.Determine this
Second ratio of the quantity of one ratio strong correlation user corresponding with the cell, second ratio is the cell in past n
Average period in it portfolio per capita.If the mean time section business amount of the cell（First ratio）No more than Z, or, should
Portfolio per capita of the average period of cell（Second ratio）No more than U, although then explanation frequently carries out business in the cell
User is more, but the portfolio of the cell and few, therefore the optimization priority of the cell is redefined as the second priority,
Namely suitably reduce the optimization priority of the cell.If the mean time section business amount of the cell is more than being averaged for Z and the cell
Period, portfolio was more than U per capita, then illustrated that in the cell user for frequently carrying out business is more, the portfolio of the cell also compared with
It is many, therefore keep the optimization priority of the cell constant for the first priority.
If determining that the optimization priority of cell is third priority by method as shown in Figure 1, it is determined that in the past
N days in carried out in the cell business all users quantity, as user's total amount in the cell, determine the cell
The quantity of corresponding strong correlation user and the 3rd ratio of user's total amount, the 3rd ratio is that strong correlation user accounts for the cell
The ratio of user's total amount.If the strong correlation user of the cell accounts for the ratio of user's total amount of the cell（3rd ratio）No more than
Y, then illustrate that the user that business is not only frequently carried out in the cell is less, and the user in the cell also has stronger stream
Dynamic property, therefore the optimization priority of the cell is redefined as the 4th priority, namely suitably reduce the cell optimization it is excellent
First level.If the ratio that the strong correlation user of the cell accounts for user's total amount of the cell is more than Y, although illustrating in the cell
The user for frequently carrying out business is less, but the user in the cell is substantially fixed（Mobility is weaker）, therefore keep this small
The optimization priority in area is that third priority is constant.
According to the quantity of the corresponding strong correlation user of cell, mean time section business amount, average period business per capita in upper example
Amount, strong correlation user account for the cell user's total amount ratio, it is determined that the cell optimization priority it is specifically as shown in table 1.
Table 1
In table 1, the order of four optimization priority from high to low is followed successively by：First priority, the second priority, the 3rd
Priority, the 4th priority.As can be seen from Table 1, when the quantity of the corresponding strong correlation user of cell is not less than X, then basis
The mean time section business amount of the cell and average period, portfolio determined that the optimization priority of the cell is the first priority per capita
Or the second priority, when the quantity of the corresponding strong correlation user of cell is less than X, is then accounted for according to the strong correlation user of the cell
The ratio of user's total amount is third priority or the 4th priority come the optimization priority for determining the cell.Wherein, shown in table 1
X（Second setting quantity）、Y（3rd setting ratio）、Z（First setting ratio）、U（Second setting ratio）Can be according to reality
Need to be set.
Further, in order to further improve the effect that subsequent network optimizes, with the quality for the business for improving cell offer,
In embodiments of the present invention, determining that each user carries out the number of times of business in cell by step S 101 as shown in Figure 1
And every time carry out business at the time of before, can also determine that the KPI of the cell is not more than the KPI threshold values of setting.That is, first leading to
The KPI of each cell is crossed, KPI is selected relatively low（The KPI threshold values no more than set）Cell, in each cell for selecting,
The optimization priority of each cell is determined by the above method, the optimization priority finally according to each cell carries out network to each cell
Optimization.
Fig. 2 is the detailed process of the network optimization provided in an embodiment of the present invention, specifically includes following steps：
S201：According to the KPI of each cell, selection KPI is not more than the cell of the KPI threshold values of setting.
S202：For each cell selected, it is determined that each user enters within the default period and in the cell
At the time of the number of times of industry business and every time progress business.
S203：For each user, according to each sub- period divided to the default period, and the user is default
Period in the cell every time carry out business at the time of, it is determined that meeting the quantity of the sub- period of specified requirements.
S204：The number of times for carrying out business in the cell within the default period is more than what is set number of times and determine
The quantity for meeting the sub- period of specified requirements is more than the user of the first setting quantity, is defined as the corresponding strong correlation of the cell and uses
Family.
S205：According to the corresponding strong correlation user of the cell of determination, the number of the corresponding strong correlation user of the cell is determined
Amount.
S206：Whether the quantity of the corresponding strong correlation user of the cell is judged not less than the second setting quantity, if so, then holding
Row step S207, otherwise performs step S212.
S207：Determine total industry of the corresponding each strong correlation user of the cell within the default period and in the cell
Business amount.
S208：Total traffic and the first ratio of the quantity of each sub- period to default period division are determined,
Determine the second ratio of the quantity of first ratio strong correlation user corresponding with the cell.
S209：Judge whether the first ratio is more than the first setting ratio and whether the second ratio is more than the second setting ratio,
If so, then performing step S210, step S211 is otherwise performed.
S210：The optimization priority for determining the cell is the first priority, performs step S216.
S211：The optimization priority for determining the cell is the second priority, performs step S216.
S212：It is determined that carrying out the quantity of all users of business within the default period and in the cell, make
For user's total amount of the cell, the quantity and the 3rd of user's total amount in the cell of the corresponding strong correlation user of the cell is determined
Ratio.
S213：Judge whether the 3rd ratio is more than the 3rd setting ratio, if so, then performing step S214, otherwise perform step
Rapid S215.
S214：The optimization priority for determining the cell is third priority, performs step S216.
S215：The optimization priority for determining the cell is the 4th priority, performs step S216.
S216：According to the optimization priority of the cell, optimize resource for cell distribution, and be based upon cell distribution
Optimize resource and the network optimization is carried out to the cell.
Wherein, above-mentioned optimization priority is followed successively by from high to low：First priority, the second priority, third priority,
Four priority.
It is above network optimized approach provided in an embodiment of the present invention, based on same invention thinking, the embodiment of the present invention
A kind of network optimization device is also provided, as shown in Figure 3.
Fig. 3 is network optimization device structural representation provided in an embodiment of the present invention, is specifically included：
Business determining module 301, for for a cell, it is determined that each user carries out time of business in the cell
At the time of number and every time progress business；
Strong correlation user determining module 302, time for carrying out business in the cell according to each user of determination
At the time of number and every time progress business, the quantity of the corresponding strong correlation user of the cell is determined；
Optimize Priority Determination module 303, for the quantity of the corresponding strong correlation user of the cell according to determination, really
The optimization priority of the fixed cell；
Network optimization module 304, is the cell distribution optimization for the optimization priority of the cell according to determination
Resource, and it is based upon the optimization resource of the cell distribution to the cell progress network optimization.
The business determining module 301 is specifically for according to the default period, it is determined that each user is described default
At the time of the number of times of business is carried out in period and in the cell and business is carried out every time；
The strong correlation user determining module 302 is specifically for for each user, according to the default period
Divide each sub- period, and the user within the default period in the cell every time carry out business when
Carve, it is determined that the quantity of the sub- period of specified requirements is met, wherein, for a sub- period, if the sub- period includes
At the time of the business at least one times that the user is carried out in the cell, then the sub- period is the sub- time for meeting specified requirements
Section；If the number of times that the user carries out business within the default period in the cell is more than setting number of times and pin
The quantity of the sub- period for meeting specified requirements determined to the user is more than the first setting quantity, it is determined that the user is described
The corresponding strong correlation user of cell；According to the corresponding each strong correlation user of the cell of determination, the cell correspondence is determined
Strong correlation user quantity.
The optimization Priority Determination module 303 is specifically for judging the corresponding strong correlation user of the cell determined
Quantity whether not less than second setting quantity；If, it is determined that the optimization priority of the cell is the first priority, no
Then, the optimization priority for determining the cell is third priority, wherein, first priority is higher than third priority.
The optimization Priority Determination module 303 is additionally operable to, it is determined that the optimization priority of the cell is preferential for first
After level, determine that the corresponding each strong correlation user of the cell is within the default period and total in the cell
Portfolio；According to the total traffic of determination, and each sub- period divided to default period quantity, really
The fixed total traffic and the first ratio of the quantity of each sub- period；According to first ratio of determination, and it is described small
The quantity of the corresponding strong correlation user in area, determines the of the quantity of first ratio strong correlation user corresponding with the cell
Two ratios；When first ratio is not more than the first setting ratio, or, when second ratio is not more than the second setting ratio
During value, the optimization priority of the cell is redefined as the second priority, wherein, second priority is less than described the
One priority and higher than the third priority.
The optimization Priority Determination module 303 is additionally operable to, it is determined that the optimization priority of the cell is preferential for the 3rd
After level, it is determined that the quantity of all users of business was carried out within the default period and in the cell, as
User's total amount in the cell；Determine the quantity and user's total amount in the cell of the corresponding strong correlation user of the cell
The 3rd ratio；When the 3rd ratio is not more than the 3rd setting ratio, the optimization priority of the cell is redefined
For the 4th priority, wherein, the 4th priority is less than the third priority.
The business determining module 301 is additionally operable to, it is determined that each user carried out in the cell number of times of business with
And every time carry out business at the time of before, determine that the Key Performance Indicator KPI of the cell is not more than the KPI threshold values of setting.
The embodiment of the present invention provides a kind of network optimized approach and device, and this method is used for a cell according to each
Family carries out number of times and the moment of business in the cell, determines the quantity of the corresponding strong correlation user of the cell, and small according to this
The quantity of the corresponding strong correlation user in area determines the optimization priority of the cell, and the optimization priority finally according to the cell is to be somebody's turn to do
Cell distribution optimization resource, the optimization resource based on distribution carries out the network optimization to the cell.Due in the embodiment of the present invention
It is the number of times of the business first carried out according to the user in the cell and moment to determine to be somebody's turn to do when determining the optimization priority of cell
The quantity of the corresponding strong correlation user of cell, is determined further according to the quantity of the corresponding strong correlation user of the cell, therefore can
Accurately to determine the optimization priority of the cell, so that can be reasonably subsequently cell distribution optimization resource, and then
The effective effect for improving the network optimization, improves the quality of the business of cell offer.
It should be understood by those skilled in the art that, embodiments herein can be provided as method, system or computer program
Product.Therefore, the application can be using the reality in terms of complete hardware embodiment, complete software embodiment or combination software and hardware
Apply the form of example.Moreover, the application can be used in one or more computers for wherein including computer usable program code
Usable storage medium（Including but not limited to magnetic disk storage, CD-ROM, optical memory etc.）The computer program production of upper implementation
The form of product.
The application is with reference to method, the equipment according to the embodiment of the present application（System）And the flow of computer program product
Figure and/or block diagram are described.It should be understood that can be by every first-class in computer program instructions implementation process figure and/or block diagram
Journey and/or the flow in square frame and flow chart and/or block diagram and/or the combination of square frame.These computer programs can be provided
The processor of all-purpose computer, special-purpose computer, Embedded Processor or other programmable data processing devices is instructed to produce
A raw machine so that produced by the instruction of computer or the computing device of other programmable data processing devices for real
The device for the function of being specified in present one flow of flow chart or one square frame of multiple flows and/or block diagram or multiple square frames.
These computer program instructions, which may be alternatively stored in, can guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works so that the instruction being stored in the computer-readable memory, which is produced, to be included referring to
Make the manufacture of device, the command device realize in one flow of flow chart or multiple flows and/or one square frame of block diagram or
The function of being specified in multiple square frames.
These computer program instructions can be also loaded into computer or other programmable data processing devices so that in meter
Series of operation steps is performed on calculation machine or other programmable devices to produce computer implemented processing, thus in computer or
The instruction performed on other programmable devices is provided for realizing in one flow of flow chart or multiple flows and/or block diagram one
The step of function of being specified in individual square frame or multiple square frames.
Although having been described for the preferred embodiment of the application, those skilled in the art once know basic creation
Property concept, then can make other change and modification to these embodiments.So, appended claims are intended to be construed to include excellent
Select embodiment and fall into having altered and changing for the application scope.
Obviously, those skilled in the art can carry out the essence of various changes and modification without departing from the application to the application
God and scope.So, if these modifications and variations of the application belong to the scope of the application claim and its equivalent technologies
Within, then the application is also intended to comprising including these changes and modification.
Claims (10)
1. a kind of network optimized approach, it is characterised in that including：
For a cell, according to the default period, it is determined that each user is within the default period and described small
In area the number of times of carry out business and every time carry out business at the time of；
For each user, according to each sub- period divided to the default period, and the user is described default
Period at the time of carry out business every time in the cell, it is determined that meet the quantity of the sub- period of specified requirements, its
In, for a sub- period, if the sub- period includes the business at least one times that the user is carried out in the cell
Moment, then the sub- period is the sub- period for meeting specified requirements；
If the number of times that the user carries out business within the default period in the cell is more than setting number of times and pin
The quantity of the sub- period for meeting specified requirements determined to the user is more than the first setting quantity, it is determined that the user is described
The corresponding strong correlation user of cell；
According to the corresponding each strong correlation user of the cell of determination, the number of the corresponding strong correlation user of the cell is determined
Amount；
According to the quantity of the corresponding strong correlation user of the cell of determination, the optimization priority of the cell is determined；
It is the cell distribution optimization resource, and be based upon the small differentiation according to the optimization priority of the cell of determination
The optimization resource matched somebody with somebody carries out the network optimization to the cell.
2. the method as described in claim 1, it is characterised in that according to the number of the corresponding strong correlation user of the cell of determination
Amount, determines the optimization priority of the cell, specifically includes：
Judge the quantity of the corresponding strong correlation user of the cell determined whether not less than the second setting quantity；
If, it is determined that the optimization priority of the cell is the first priority, otherwise, it determines the optimization priority of the cell
For third priority, wherein, first priority is higher than third priority.
3. method as claimed in claim 2, it is characterised in that determine the optimization priority of the cell for the first priority it
Afterwards, methods described also includes：
Determine total business of the corresponding each strong correlation user of the cell within the default period and in the cell
Amount；
According to the total traffic of determination, and each sub- period divided to default period quantity, it is determined that
The total traffic and the first ratio of the quantity of each sub- period；
According to the quantity of first ratio of determination, and the corresponding strong correlation user of the cell, first ratio is determined
Second ratio of the quantity of value strong correlation user corresponding with the cell；
When first ratio is not more than the first setting ratio, or, when second ratio is not more than the second setting ratio
When, the optimization priority of the cell is redefined as the second priority, wherein, second priority is less than described first
Priority and higher than the third priority.
4. method as claimed in claim 2, it is characterised in that determine the optimization priority of the cell for third priority it
Afterwards, methods described also includes：
It is determined that carrying out the quantity of all users of business within the default period and in the cell, institute is used as
State user's total amount in cell；
Determine the 3rd ratio of the quantity and user's total amount in the cell of the corresponding strong correlation user of the cell；
When the 3rd ratio is not more than the 3rd setting ratio, the optimization priority of the cell is redefined excellent for the 4th
First level, wherein, the 4th priority is less than the third priority.
5. the method as described in claim 1, it is characterised in that it is determined that each user carries out the number of times of business in the cell
And every time carry out business at the time of before, methods described also includes：
Determine that the Key Performance Indicator KPI of the cell is not more than the KPI threshold values of setting.
6. a kind of network optimization device, it is characterised in that including：
Business determining module, for for a cell, it is determined that each user carried out in the cell business number of times and
At the time of carrying out business every time；
The business determining module is specifically for according to the default period, it is determined that each user is in the default period
At the time of number of times interior and that business is carried out in the cell and every time progress business；
Strong correlation user's determining module, for carried out according to each user of determination in the cell business number of times and every time
At the time of carry out business, the quantity of the corresponding strong correlation user of the cell is determined；
The strong correlation user determining module to the default period specifically for for each user, according to what is divided
Each sub- period, and the user within the default period in the cell every time carry out business at the time of, it is determined that
The quantity of the sub- period of specified requirements is met, wherein, for a sub- period, if the sub- period exists comprising the user
At the time of the business at least one times carried out in the cell, then the sub- period is the sub- period for meeting specified requirements；If
The number of times that the user carries out business within the default period in the cell is more than setting number of times and for the user
The quantity of the sub- period for meeting specified requirements determined is more than the first setting quantity, it is determined that the user is the cell correspondence
Strong correlation user；According to the corresponding each strong correlation user of the cell of determination, the corresponding strong correlation of the cell is determined
The quantity of user；
Optimize Priority Determination module, for the quantity of the corresponding strong correlation user of the cell according to determination, it is determined that described
The optimization priority of cell；
Network optimization module, is the cell distribution optimization resource for the optimization priority of the cell according to determination, and
The optimization resource for being based upon the cell distribution carries out the network optimization to the cell.
7. device as claimed in claim 6, it is characterised in that the optimization Priority Determination module is specifically for judging true
Whether the quantity of the corresponding strong correlation user of the fixed cell is not less than the second setting quantity；If, it is determined that the cell
Optimization priority be the first priority, otherwise, it determines the optimization priority of the cell be third priority, wherein, it is described
First priority is higher than third priority.
8. device as claimed in claim 7, it is characterised in that the optimization Priority Determination module is additionally operable to, it is determined that institute
The optimization priority of cell is stated after the first priority, to determine the corresponding each strong correlation user of the cell described default
In period and the total traffic in the cell；According to the total traffic of determination, and to the default time
The quantity for each sub- period that section is divided, determines the total traffic and the first ratio of the quantity of each sub- period；According to true
Fixed first ratio, and the corresponding strong correlation user of the cell quantity, determine first ratio with it is described small
Second ratio of the quantity of the corresponding strong correlation user in area；When first ratio is not more than the first setting ratio, or, when
When second ratio is not more than the second setting ratio, the optimization priority of the cell is redefined as the second priority,
Wherein, second priority is less than first priority and higher than the third priority.
9. device as claimed in claim 7, it is characterised in that the optimization Priority Determination module is additionally operable to, it is determined that institute
State cell optimization priority be third priority after, it is determined that entering within the default period and in the cell
Went business all users quantity, be used as user's total amount in the cell；Determine that the corresponding strong correlation of the cell is used
3rd ratio of the quantity at family and user's total amount in the cell；When the 3rd ratio is not more than the 3rd setting ratio,
The optimization priority of the cell is redefined as the 4th priority, wherein, the 4th priority is excellent less than the described 3rd
First level.
10. device as claimed in claim 6, it is characterised in that the business determining module is additionally operable to, it is determined that each user
Before at the time of the number of times of business is carried out in the cell and business is carried out every time, determine that the key performance of the cell refers to
Mark KPI is not more than the KPI threshold values of setting.
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| CN109803295B (en) * | 2019-03-05 | 2022-03-15 | 中国联合网络通信集团有限公司 | Method and device for evaluating communication cell rectification priority |
| CN114422514A (en) * | 2022-01-25 | 2022-04-29 | 广州市浚聪计算机有限公司 | Information system integrated terminal based on computer network technology |
| WO2023212845A1 (en) * | 2022-05-05 | 2023-11-09 | Nokia Shanghai Bell Co., Ltd. | Method, apparatus and computer program |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1897739A (en) * | 2005-07-12 | 2007-01-17 | 日立通讯技术株式会社 | Network management apparatus and method of selecting base station for software update |
| CN102036378A (en) * | 2009-09-24 | 2011-04-27 | 中兴通讯股份有限公司 | Method and device for allocating channels as well as method for allocating available resources of base station |
| CN102143484A (en) * | 2010-12-20 | 2011-08-03 | 华为技术有限公司 | Method and device for processing resource allocation as well as network service system |
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1897739A (en) * | 2005-07-12 | 2007-01-17 | 日立通讯技术株式会社 | Network management apparatus and method of selecting base station for software update |
| CN102036378A (en) * | 2009-09-24 | 2011-04-27 | 中兴通讯股份有限公司 | Method and device for allocating channels as well as method for allocating available resources of base station |
| CN102143484A (en) * | 2010-12-20 | 2011-08-03 | 华为技术有限公司 | Method and device for processing resource allocation as well as network service system |
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