CN108243435A - Parameter optimization method and device in a kind of LTE cell scenarios division - Google Patents
Parameter optimization method and device in a kind of LTE cell scenarios division Download PDFInfo
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Abstract
Parameter optimization method and device in being divided the embodiment of the invention discloses a kind of LTE cell scenarios, the method includes：The physical parameter of LTE cells is screened, and correlation analysis is carried out to the physical parameter, obtains the first dimensional parameter；Obtain the second dimensional parameter of verification cell；According to first dimensional parameter and second dimensional parameter, the recommended parameter configuration after being optimized.Described device includes：Correlating module, the second dimensional parameter acquisition module and parameter optimization module.The embodiment of the present invention is screened by the physical parameter to LTE cells and correlation analysis, obtain the first dimensional parameter, with reference to the second dimensional parameter of verification cell, recommended parameter configuration after being optimized, overlay area geographic scenes and user type are not limited to, using automatic mode classification, optimization accuracy and efficiency can be improved, and the shared requirement for sharing outstanding Optimization Experience, reducing to optimizing engineer.
Description
Technical field
The present embodiments relate to fields of communication technology, and in particular to the parameter optimization in a kind of LTE cell scenarios division
Method and device.
Background technology
LTE (Long Term Evolution, long term evolution) optimizing cells relate generally to the interior parameter between system of system and exist
Planning stage and the optimal design-aside of follow-up optimizing phase, planning stage are covered according to wireless environment, road and MR depth near cell
Lid demand, covering scene type and capacity requirement plan that preliminary cell site height, angle of declination, frequency range and all kinds of soft or hard parameters are matched
It puts, successive projects covering is analyzed according to drive test, traffic statistics and KPI (Key Performance Indicator, KPI Key Performance Indicator)
Analysis, MR (Measurement Report, measurement report) analyses etc. are to cell switching, access, wireless resource scheduling configuration ginseng
Number optimizes.With the propulsion of the LTE Large scale constructions of 2 years, LTE network user and portfolio rapid development at present, network
Scale and number of base stations surmount 2/3G networks substantially, LTE fine work net construction become more meticulous to website optimization propose it is higher will
It asks, network optimization difficulty increase, challenge increases.
Network reference services traditional at present mainly formulate different parameters configuration strategy, scene point according to website different scenes
Dense city, Town Center, general city, suburb rural are mainly divided into according to wireless environment and geographical feature first in terms of class
Deng secondly being distinguished according to overlay area plot purposes and user type, be broadly divided into residential block, commercial building, colleges and universities, traffic pivot
The tens of kinds of scenes such as knob.Then under this conventional station scene classification, different network planning optimisation strategy and parameter are formulated
After configuration strategy, analyze to optimize work respectively from drive test data, MR, traffic statistics and KPI.For current network size Pang
Greatly, 2/3/4G tri- throw the net collectively cover, wireless urban environment is complicated and user to 4G business demands increasingly increased situation, tradition
Scene optimization is divided can not gradually to have met LTE fine work networks become more meticulous the needs of with high efficiency optimizing, therefore to TDL networks
It is necessary to be studied for LTE cell characteristic sorting parameters automatic optimization method based on clustering algorithm.
During the embodiment of the present invention is realized, inventor has found existing differentiation of the net for cell characteristic in existing method
Overlay area geographic scenes and user type are confined to, and by the way of manual sort, classification is inaccurate, and implements excellent
Same type of cell configuration unified parameters strategy is divided into all during change, the personalizing parameters for then carrying out cell-level again are excellent
To change, optimization is divided into region and two stages of single station, although can equally accomplish the optimization that becomes more meticulous, entire optimization cycle is longer,
It is more demanding to the Optimization Experience for optimizing engineer.
Invention content
Since net existing in existing method is confined to overlay area geographic scenes and user type for the differentiation of cell characteristic,
By the way of manual sort, classification is inaccurate, and entire optimization cycle is longer, to optimizing the Optimization Experience requirement of engineer
The problem of higher, the embodiment of the present invention propose the parameter optimization method and device in a kind of LTE cell scenarios division.
In a first aspect, the embodiment of the present invention proposes the parameter optimization method in a kind of LTE cell scenarios division, including：
The physical parameter of LTE cells is screened, and correlation analysis is carried out to the physical parameter, obtains the first dimension ginseng
Number；
Obtain the second dimensional parameter of verification cell；
According to first dimensional parameter and second dimensional parameter, the recommended parameter configuration after being optimized.
Optionally, it is described that correlation analysis is carried out to the physical parameter, the first dimensional parameter is obtained, is specifically included：
Correlation analysis is carried out to the physical parameter, obtains correlation analysis as a result, according to relevance threshold to described
Correlation analysis result is screened, and the physical parameter after screening is normalized, and obtains the first dimensional parameter.
Optionally, it is described according to first dimensional parameter and second dimensional parameter, the recommendation ginseng after being optimized
Number configuration, specifically includes：
According to K-means clustering algorithms, the Euclidean distance of first dimensional parameter and second dimensional parameter is calculated；
It is screened to obtain target dimension parameter according to distance threshold, and obtains the corresponding object identifier of the target dimension parameter
Cell；
The setting value of the target dimension parameter of each object identifier cell is compared, selects maximum setting value corresponding
Target dimension parameter as an optimization after recommended parameter configuration.
Optionally, first dimensional parameter and second dimensional parameter include：This antenna in cell hangs high, this cell
Total angle of declination, adjacent cell Reference Signal Received Power average value, adjacent cell RRC connection request number, adjacent cell are averaged single user
TM3/8 accountings that switching times, adjacent cell downlink are averaged MCS grades and adjacent cell downlink is averaged.
Optionally, the method further includes：
Recommended parameter configuration with original parameter is configured and is compared, and according to comparing result determines whether to assign
Recommended parameter is configured；
Performance Evaluation is carried out to the verification cell for using the recommended parameter configuration operation, if the result of Performance Evaluation meets
Default assessment threshold value, it is determined that the recommended parameter is configured to target component configuration.
Second aspect, the embodiment of the present invention also propose the parameter optimization device in a kind of LTE cell scenarios division, including：
Correlating module for screening the physical parameter of LTE cells, and carries out correlation point to the physical parameter
Analysis, obtains the first dimensional parameter；
Dimensional parameter acquisition module, for obtaining the second dimensional parameter of verification cell；
Parameter optimization module, for according to first dimensional parameter and second dimensional parameter, after being optimized
Recommended parameter is configured.
Optionally, the correlating module is specifically used for carrying out correlation analysis to the physical parameter, obtains phase
Closing property analysis result, screens the correlation analysis result according to relevance threshold, and to the physical parameter after screening
It is normalized, obtains the first dimensional parameter.
Optionally, the parameter optimization module specifically includes：
Metrics calculation unit, for according to K-means clustering algorithms, calculating first dimensional parameter and second dimension
Spend the Euclidean distance of parameter；
Choice of parameters unit, for being screened to obtain target dimension parameter, and obtain the target dimension according to distance threshold
The corresponding object identifier cell of parameter；
Parameter comparing unit, the setting value for the target dimension parameter to each object identifier cell are compared, selection
The maximum corresponding target dimension parameter of setting value as an optimization after recommended parameter configuration.
Optionally, the first dimensional parameter described in the correlating module and second dimensional parameter include：
This antenna in cell hangs height, the total angle of declination of this cell, adjacent cell Reference Signal Received Power average value, adjacent cell RRC connection request
Be averaged single user switching times, adjacent cell downlink of number, adjacent cell is averaged MCS grades and adjacent cell downlink is averaged TM3/8 accountings.
Optionally, the method further includes：
As a result unit is audited, for recommended parameter configuration and original parameter configuration to be compared, and is tied according to comparison
Fruit determines to assign the recommended parameter configuration；
Performance Evaluation unit, for carrying out Performance Evaluation to the verification cell for using the recommended parameter configuration operation, if
The result of Performance Evaluation meets default assessment threshold value, it is determined that the recommended parameter is configured to target component configuration.
As shown from the above technical solution, the embodiment of the present invention is screened and related by the physical parameter to LTE cells
Property analysis, obtain the first dimensional parameter, with reference to the second dimensional parameter of verification cell, recommended parameter after optimize is configured,
Overlay area geographic scenes and user type are not limited to, using automatic mode classification, optimization accuracy and efficiency can be improved,
And the shared requirement for sharing outstanding Optimization Experience, reducing to optimizing engineer.
Description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, to embodiment or will show below
There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention, for those of ordinary skill in the art, without creative efforts, can be with
Other attached drawings are obtained according to these figures.
Fig. 1 is that the flow of the parameter optimization method during a kind of LTE cell scenarios that one embodiment of the invention provides divide is shown
It is intended to；
Fig. 2 is the data flow of the parameter optimization method during a kind of LTE cell scenarios that one embodiment of the invention provides divide
Schematic diagram；
Fig. 3 is that the flow of the parameter optimization verification during a kind of LTE cell scenarios that one embodiment of the invention provides divide is shown
It is intended to；
Fig. 4 is that the structure of the parameter optimization device during a kind of LTE cell scenarios that one embodiment of the invention provides divide is shown
It is intended to；
Fig. 5 is the logic diagram of electronic equipment in one embodiment of the invention.
Specific embodiment
Below in conjunction with the accompanying drawings, the specific embodiment of the present invention is further described.Following embodiment is only used for more
Technical scheme of the present invention is clearly demonstrated, and is not intended to limit the protection scope of the present invention and limits the scope of the invention.
Fig. 1 shows the flow signal of the parameter optimization method in a kind of LTE cell scenarios division provided in this embodiment
Figure, including：
S101, the physical parameter for screening LTE cells, and correlation analysis is carried out to the physical parameter, obtain the first dimension
Spend parameter.
Wherein, the correlation analysis refers to analyze two or more variable elements for having correlation, so as to
Weigh the related intimate degree of two Variable Factors.
It is described that correlation analysis is carried out to the physical parameter, the first dimensional parameter is obtained, is specifically included：
Correlation analysis is carried out to the physical parameter, obtains correlation analysis as a result, according to relevance threshold to described
Correlation analysis result is screened, and the physical parameter after screening is normalized, and obtains the first dimensional parameter.
Specifically, the data flow signal of the parameter optimization method in being divided Fig. 2 shows the LTE cell scenarios of embodiment
Figure first, is realized outstanding parameter configuration verification based on correlation analysis and is collected.
It is obtained from the LTE cellular engineerings parameter database, backstage traffic statistics or planning database (for new website) of existing net small
The quantization characteristic (choosing LTE cell wireless parameter data and the seven of nearly 3 days dimension datas) in area.
Choice of parameters need to choose cell physical parameter, i.e., be exportable independent variable before cell networks and opens, now net is new
Enter in web site just like lower class shape parameter can realize extraction and there are break-up values：This antenna in cell hangs high, this cell and always has a down dip
Angle, adjacent cell Reference Signal Received Power average value, adjacent cell RRC connection request number, adjacent cell are averaged single user switching time
Number, adjacent cell downlink be averaged MCS grades, adjacent cell downlink be averaged TM3/8 accountings, adjacent cell MR coverage rates, in adjacent cell cell
Average user number, adjacent cell downlink PRB utilization rates.
Correlation analysis is carried out to the parameter of 10 dimensions.Strong correlation will cause data clusters to be distorted between parameter dimensions,
It need to be rejected.
Wherein 3 parameters it is relatively strong to correlation (Reference Signal Received Power average value and MR cover rate dependence up to 0.87,
Average user data/coherency in RRC connection request number and cell is up to 0.93, with PRB using rate dependence up to 0.91), therefore
Average user number in MR coverage rates, cell and downlink PRB availability datas are rejected, only retain 7 dimensions therein.
Since the weight of 7 dimensions is not quite identical, in the case of without data processing, the influence journey of certain dimensions
It spends larger.Therefore it needs to realize normalization to 7 parameter dimensions, makes its weight when subsequently carrying out cluster analysis consistent.
Wherein, the method for normalizing used standardizes (Min-Max Normalization) for min-max.This method
Referred to as deviation standardizes, and is the linear transformation to initial data, end value is made to be mapped between [0-1].Transfer function is as follows：
S102, the second dimensional parameter for obtaining verification cell.
Wherein, the verification cell is the cell except the LTE cells, for being verified to the LTE cells.
First dimensional parameter and second dimensional parameter are identical parameter, corresponding different parameter value.
Specifically, as shown in lower-left frame in Fig. 2, existing network school is chosen first and tests the non-default parameter configuration of cell.
Cell dimensional parameter (first dimensional parameter and second dimensional parameter) data template sample (total 54
)：
Then input system is configured in the second dimensional parameter for verifying cell.
S103, according to first dimensional parameter and second dimensional parameter, the recommended parameter configuration after being optimized.
Further, S103 is specifically included：
S1031, according to K-means clustering algorithms, calculate the Europe of first dimensional parameter and second dimensional parameter
Formula distance；
S1032, it is screened to obtain target dimension parameter according to distance threshold, and obtains the corresponding mesh of the target dimension parameter
Cell is tested in calibration；
S1033, the setting value of the target dimension parameter of each object identifier cell is compared, selects maximum setting value
Corresponding target dimension parameter as an optimization after recommended parameter configuration.
Specifically, as shown in block diagram intermediate below in Fig. 2, cell match parameter is configured by clustering algorithm and output pushes away
Recommend parameter configuration.
First, the quantization characteristic of existing net new website cell, and input system are extracted.
Then, it is clustered according to the quantization characteristic of cell, and for cell matching recommended parameter configuration.
Wherein, it using K-means clustering algorithms, by the Euclidean distance for calculating cell with verifying series of cells, obtains and pushes away
Parameter configuration is recommended, specific algorithm is described as follows：
A1, new website cell and the Euclidean distance of each verification 7 dimension quantization characteristics of sequence of cells are calculated；
Nearest n A2, selection and new website cell Euclidean distance verification cell, and export inventory；N default values are 100, should
Parameter output effect can be based in and realizes optimization；
A3, counting comparison is carried out to the identical setting value of 54 dimensional parameters in select n verification cell, to default defeated
54 dimensional parameter item parameter values of 100 cells gone out carry out counting statistics respectively；
The corresponding parameter dimensions setting value of maximum count value is set as new website optimizing cells in 54 A4, selection dimensional parameters
Put value output.
The present embodiment is screened by the physical parameter to LTE cells and correlation analysis, obtains target component, with reference to
The dimensional parameter of cell is verified, the recommended parameter configuration after being optimized is not limited to overlay area geographic scenes and user class
Type using automatic mode classification, can improve optimization accuracy and efficiency and shared shared outstanding Optimization Experience, reduction pair
Optimize the requirement of engineer.
Further, on the basis of above method embodiment, the method further includes：
S104, it recommended parameter configuration with original parameter is configured compares, and under being determined whether according to comparing result
It is configured up to the recommended parameter；
S105, Performance Evaluation is carried out to the verification cell for using the recommended parameter configuration operation, if the knot of Performance Evaluation
Fruit meets default assessment threshold value, it is determined that the recommended parameter is configured to target component configuration.
It is put under contrast difference is confirmed whether in first wife wherein it is possible to which target component is configured and imports genuine parameter compilation tool
Implement up to OMC.
Specifically, compare the difference that each cell shows network parameters and recommended configuration parameter first, tentatively find out recommendation with
Now net has been matched the different parameter of value and has been audited according to actual conditions, and audit no problem then assigns execution, if partial parameters pass through
It then can only perform the parameter by part.
Then after parameter configuration is assigned, lasting assessment optimization cell and peripheral cell performance, covering and perception situation.Into
After row Performance Evaluation, in not up to ideal effect, cell selection quantity n values are adjusted, and re-start C2, directly
Closed loop is resolved to optimization.
The present embodiment carries out the division that becomes more meticulous by clustering algorithm to LTE cells, is exported and recommended by Automatic Optimal software
The method of parameter promotes LTE network optimization efficiency, and increase optimization accuracy makes optimization action minimum to neighboring area generation simultaneously
It influences.Two set of model softwares are applied, respectively now net cell calibration database and the output optimization of cell characteristic Auto-matching are joined
Software is counted, now net cell calibration database inputs existing net cell quantization characteristic and dimensional parameter setting, for new website
Cell carries out the matching based on Euclidean distance；Cell characteristic Auto-matching output Optimal Parameters software is then realized based on Euclidean distance
It clusters and exports recommended parameter configuration for optimization engineer's reference.
The present embodiment also realizes that outstanding parameter configuration is verified and collected by being based on correlation analysis, and the existing network school of input tests small
Area's dimensional parameter (the second dimensional parameter) is configured cell match parameter by clustering algorithm and exports recommended parameter configuration, completes
Optimization and evaluation work simultaneously improve outstanding cell configuration in real time.Network optimization working efficiency is effectively promoted, promotes network optimization parameter optimization essence
Thin degree reduces network O＆M cost.
Existing network technology mainly using the subjective mode for dividing scene, carrying out specific aim parameter optimization, to engineer experience according to
It is bad larger, while influenced by identical parameters devices from different manufacturers performance difference and the privately owned parameter of different manufacturers.And this method passes through
Cell quantization characteristic and clustering algorithm carry out cell and become more meticulous divisions, and directly matching shows net cell parameter and sets, outstanding so as to make
Optimal Parameters popularization is rapider, accurately.
Cell is carried out by cell quantization characteristic and clustering algorithm to become more meticulous division.Change traditional subjective division user
Group and covering scene method, by subzone network structure, portfolio, user characteristics etc. can quantization characteristic combine, objective essence
True division scene.Follow-up optimization precision is promoted, reduces parameter adjustment and region entirety network is negatively affected, avoid tearing Dong Qiang open
The optimization action for mending Xi Qiang occurs.This method is easy to operate, and it is wide to cover parameter, can quickly be realized according to engineer's demand.It is related
Cell parameter configuration is updated as LTE network construction optimizes, more using more ripe.It does not need to change network structure, it is easy to operate,
There is no network risks.It only needs export related data that software is transferred to analyze, and parameter is carried out to related cell based on analysis result
Modification.
Illustrate the parameter optimization method in the division of LTE cell scenarios below by way of specific example, referring to Fig. 3：
B1, it 7 quantization characteristics of cell are tested existing network school extracts and is normalized, together with the dimension for being related to cell
Spend parameter Input Software system together.
B2,15 cells to be tested chosen, equipment networked, non-engineering state, completed/or carrying out cluster optimization
The newly-built community in stage.The quantization characteristic and Input Software system of cell are extracted, by software through K- under default value configuration
Means clustering algorithms provide the dimensional parameter allocation plan that each cell recommends.It compares each cell and shows network parameters with pushing away
The difference of the parameter of configuration is recommended, tentatively find out recommendation and now nets configured different parameter, optimization of region engineer is submitted to examine
Core, it is pending confirmation final argument scheme after, perform parameter modification operation.
B3, confirm website fault-free, carry out original parameter backup.
B4, parametric scheme is inputted into producer's parameter script compilation tool, parameter is assigned by producer's OMC network elements and is changed.
After B5, parameter modification perform, continuously at least 3 days monitoring estate performance indexs are needed, export network management performance statistical indicator.
50,80,120 and 150 are adjusted to for cell selection quantity n values and optimizes operation respectively, obtain the optimization under each n values configuration
Effect.
The basic held stationary state of each lower portfolio of configuration, is assessed from verification the verifying results, N values from it is excellent to bad be respectively 100>
50>80>120>150。
From every KPI indexs compare situation from the point of view of, N values from it is excellent to bad be respectively 50=100>120>80>150.
Based on the verification result of N values optimization, when N values take default value 100, effect is relatively best.Subsequently in routine optimization
Retain the application of N=100 in.Entire Optimizing Flow obtains closed loop.
It follows that method provided in this embodiment effectively makes the optimization of LTE cell parameters more accurate efficient.It is small to LTE
Area is finely divided using clustering algorithm, is more quantified compared to traditional subjective scene partitioning, more accurately, is improved follow-up excellent
The accuracy of change.It directly verifies and collects the outstanding cell parameter configuration of existing net Local Property, overcome wireless device producer more, it is private
There is the problem of parameter is more, and usually parameter optimization concern parameter is limited, while realize the promotion and application of outstanding parameter sample rapidly.
It does not need to change network structure, easy to operate, there is no network risks.Export related data is only needed software to be transferred to analyze, and base
It modifies in analysis result and optimization engineer experience to related cell.In conclusion under this methodology, Neng Goujing
Really, flexibly and effectively LTE network optimization efficiency and effect in lifting region, whole process risk is small and at low cost, effectively reduces
O＆M cost promotes network optimization efficiency, promotes corporate economy's benefit.
The present embodiment can effectively promote planning and optimization becomes more meticulous degree and efficiency, reduce operator optimization cycle,
Rapid promote implements shared outstanding Optimal Example, and now netting wireless side apparatus at present, there are the privately owned parameter of more producers and producer is many
It is more, and in the case of now netting all kinds of wireless environment scene complexity, this method can avoid devices from different manufacturers performance in identical ginseng
Difference under number configuration, provides a kind of method for the distinguishing cell parameter setting that becomes more meticulous under complex scene by clustering algorithm.
This method is by importing existing network data and being based on clustering algorithm, and automatic identification cell scenario matching recommended parameter can be directly in OMC
On assign.
Fig. 4 shows the structural representation of the parameter optimization device in a kind of LTE cell scenarios division provided in this embodiment
Figure, described device include：Correlating module 401, dimensional parameter acquisition module 402 and parameter optimization module 403, wherein：
The correlating module 401 for screening the physical parameter of LTE cells, and carries out the physical parameter
Correlation analysis obtains the first dimensional parameter；
The second dimensional parameter acquisition module 402, for obtaining the second dimensional parameter of verification cell；
The parameter optimization module 403, for according to first dimensional parameter and second dimensional parameter, obtaining excellent
Recommended parameter configuration after change.
Specifically, the correlating module 401 screens the physical parameter of LTE cells, and to the physical parameter into
Row correlation analysis obtains the first dimensional parameter；The second dimensional parameter acquisition module 402 obtains the second dimension of verification cell
Spend parameter；The parameter optimization module 403 is according to first dimensional parameter and second dimensional parameter, after being optimized
Recommended parameter is configured.
The present embodiment is screened by the physical parameter to LTE cells and correlation analysis, obtains the first dimensional parameter,
With reference to the second dimensional parameter of verification cell, the recommended parameter configuration after being optimized is not limited to overlay area geographic scenes
And user type, using automatic mode classification, optimization accuracy and efficiency and shared shared outstanding optimization warp can be improved
It tests, reduces the requirement to optimizing engineer.
Further, on the basis of above device embodiment, the correlating module 401 is specifically used for described
Physical parameter carries out correlation analysis, obtains correlation analysis as a result, according to relevance threshold to the correlation analysis result
It is screened, and the physical parameter after screening is normalized, obtain the first dimensional parameter.
Further, on the basis of above device embodiment, the parameter optimization module 403 specifically includes：
Metrics calculation unit, for according to K-means clustering algorithms, calculating first dimensional parameter and second dimension
Spend the Euclidean distance of parameter；
Choice of parameters unit, for being screened to obtain target dimension parameter, and obtain the target dimension according to distance threshold
The corresponding object identifier cell of parameter；
Parameter comparing unit, the setting value for the target dimension parameter to each object identifier cell are compared, selection
The maximum corresponding target dimension parameter of setting value as an optimization after recommended parameter configuration.
Further, on the basis of above device embodiment, the ginseng of the first dimension described in the correlating module
Number and second dimensional parameter include：This antenna in cell hangs height, the total angle of declination of this cell, adjacent cell reference signal receive work(
Be averaged single user switching times, adjacent cell downlink of rate average value, adjacent cell RRC connection request number, adjacent cell is averaged MCS grades
It is averaged TM3/8 accountings with adjacent cell downlink.
Further, on the basis of above device embodiment, the method further includes：
As a result unit is audited, for recommended parameter configuration and original parameter configuration to be compared, and is tied according to comparison
Fruit determines to assign the recommended parameter configuration；
Performance Evaluation unit, for carrying out Performance Evaluation to the verification cell for using the recommended parameter configuration operation, if
The result of Performance Evaluation meets default assessment threshold value, it is determined that the recommended parameter is configured to target component configuration.
Parameter optimization device during LTE cell scenarios described in the present embodiment divide can be used for performing above method implementation
Example, principle is similar with technique effect, and details are not described herein again.
Reference Fig. 5, the electronic equipment, including：Processor (processor) 501, memory (memory) 502 and total
Line 503；
Wherein,
The processor 501, memory 502 complete mutual communication by the bus 503；
The processor 501 is used to call the program instruction in the memory 502, to perform above-mentioned each method embodiment
The method provided, such as including：
The physical parameter of LTE cells is screened, and correlation analysis is carried out to the physical parameter, obtains the first dimension ginseng
Number；
Obtain the second dimensional parameter of verification cell；
According to first dimensional parameter and second dimensional parameter, the recommended parameter configuration after being optimized.
The present embodiment discloses a kind of computer program product, and the computer program product includes being stored in non-transient calculating
Computer program on machine readable storage medium storing program for executing, the computer program include program instruction, when described program instruction is calculated
When machine performs, computer is able to carry out the method that above-mentioned each method embodiment is provided, such as including：
The physical parameter of LTE cells is screened, and correlation analysis is carried out to the physical parameter, obtains the first dimension ginseng
Number；
Obtain the second dimensional parameter of verification cell；
According to first dimensional parameter and second dimensional parameter, the recommended parameter configuration after being optimized.
The present embodiment provides a kind of non-transient computer readable storage medium storing program for executing, the non-transient computer readable storage medium storing program for executing
Computer instruction is stored, the computer instruction makes the computer perform the method that above-mentioned each method embodiment is provided, example
Such as include：
The physical parameter of LTE cells is screened, and correlation analysis is carried out to the physical parameter, obtains the first dimension ginseng
Number；
Obtain the second dimensional parameter of verification cell；
According to first dimensional parameter and second dimensional parameter, the recommended parameter configuration after being optimized.
One of ordinary skill in the art will appreciate that：Realizing all or part of step of above method embodiment can pass through
The relevant hardware of program instruction is completed, and aforementioned program can be stored in a computer read/write memory medium, the program
When being executed, step including the steps of the foregoing method embodiments is performed；And aforementioned storage medium includes：ROM, RAM, magnetic disc or light
The various media that can store program code such as disk.
The apparatus embodiments described above are merely exemplary, wherein the unit illustrated as separating component can
To be or may not be physically separate, the component shown as unit may or may not be physics list
Member, you can be located at a place or can also be distributed in multiple network element.It can be selected according to the actual needs
In some or all of module realize the purpose of this embodiment scheme.Those of ordinary skill in the art are not paying creativeness
Labour in the case of, you can to understand and implement.
Through the above description of the embodiments, those skilled in the art can be understood that each embodiment can
It is realized by the mode of software plus required general hardware platform, naturally it is also possible to pass through hardware.Based on such understanding, on
Technical solution is stated substantially in other words to embody the part that the prior art contributes in the form of software product, it should
Computer software product can store in a computer-readable storage medium, such as ROM/RAM, magnetic disc, CD, including several fingers
It enables and (can be personal computer, server or the network equipment etc.) so that computer equipment is used to perform each implementation
Method described in certain parts of example or embodiment.
It should be noted that：The above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although reference
The present invention is described in detail in previous embodiment, it will be understood by those of ordinary skill in the art that：It still can be right
Technical solution recorded in foregoing embodiments modifies or carries out equivalent replacement to which part technical characteristic；And this
A little modifications are replaced, the spirit and model of various embodiments of the present invention technical solution that it does not separate the essence of the corresponding technical solution
It encloses.
Claims (10)
1. a kind of parameter optimization method in LTE cell scenarios division, which is characterized in that including：
The physical parameter of LTE cells is screened, and correlation analysis is carried out to the physical parameter, obtains the first dimensional parameter；
Obtain the second dimensional parameter of verification cell；
According to first dimensional parameter and second dimensional parameter, the recommended parameter configuration after being optimized.
2. according to the method described in claim 1, it is characterized in that, it is described to the physical parameter carry out correlation analysis, obtain
To the first dimensional parameter, specifically include：
Correlation analysis is carried out to the physical parameter, obtains correlation analysis as a result, according to relevance threshold to the correlation
Property analysis result is screened, and the physical parameter after screening is normalized, and obtains the first dimensional parameter.
3. according to the method described in claim 1, it is characterized in that, described tie up according to first dimensional parameter with described second
Parameter is spent, the recommended parameter configuration after being optimized specifically includes：
According to K-means clustering algorithms, the Euclidean distance of first dimensional parameter and second dimensional parameter is calculated；
It is screened to obtain target dimension parameter according to distance threshold, and it is small to obtain the corresponding object identifier of the target dimension parameter
Area；
The setting value of the target dimension parameter of each object identifier cell is compared, selects the maximum corresponding target of setting value
Dimensional parameter as an optimization after recommended parameter configuration.
4. according to the method described in claim 1, it is characterized in that, first dimensional parameter and second dimensional parameter are equal
Including：This antenna in cell hangs height, the total angle of declination of this cell, adjacent cell Reference Signal Received Power average value, adjacent cell RRC connections
Be averaged single user switching times, adjacent cell downlink of request number of times, adjacent cell is averaged MCS grades and adjacent cell downlink is averaged TM3/8
Accounting.
5. according to the method described in claim 1, it is characterized in that, the method further includes：
Recommended parameter configuration with original parameter is configured and is compared, and is determined whether according to comparing result to assign the recommendation
Parameter configuration；
Performance Evaluation is carried out to the verification cell for using the recommended parameter configuration operation, is preset if the result of Performance Evaluation meets
Assess threshold value, it is determined that the recommended parameter is configured to target component configuration.
6. a kind of parameter optimization device in LTE cell scenarios division, which is characterized in that including：
Correlating module for screening the physical parameter of LTE cells, and carries out correlation analysis to the physical parameter,
Obtain the first dimensional parameter；
Dimensional parameter acquisition module, for obtaining the second dimensional parameter of verification cell；
Parameter optimization module, for according to first dimensional parameter and second dimensional parameter, the recommendation after being optimized
Parameter configuration.
7. device according to claim 6, which is characterized in that the correlating module is specifically used for the physics
Parameter carries out correlation analysis, obtains correlation analysis as a result, being carried out according to relevance threshold to the correlation analysis result
Screening, and the physical parameter after screening is normalized, obtain the first dimensional parameter.
8. device according to claim 6, which is characterized in that the parameter optimization module specifically includes：
Metrics calculation unit, for according to K-means clustering algorithms, calculating first dimensional parameter and second dimension ginseng
Several Euclidean distances；
Choice of parameters unit for screening to obtain target dimension parameter according to distance threshold, and obtains the target dimension parameter
Corresponding object identifier cell；
Parameter comparing unit, the setting value for the target dimension parameter to each object identifier cell are compared, and selection is maximum
The corresponding target dimension parameter of setting value as an optimization after recommended parameter configuration.
9. device according to claim 6, which is characterized in that the first dimensional parameter described in the correlating module
Include with second dimensional parameter：This antenna in cell hangs height, the total angle of declination of this cell, adjacent cell Reference Signal Received Power
Average value, adjacent cell RRC connection request number, adjacent cell be averaged single user switching times, adjacent cell downlink be averaged MCS grades and
Adjacent cell downlink is averaged TM3/8 accountings.
10. device according to claim 6, which is characterized in that the method further includes：
As a result unit is audited, for recommended parameter configuration and original parameter configuration to be compared, and true according to comparing result
It fixs and is configured up to the recommended parameter；
Performance Evaluation unit, for carrying out Performance Evaluation to the verification cell for using the recommended parameter configuration operation, if performance
The result of assessment meets default assessment threshold value, it is determined that the recommended parameter is configured to target component configuration.
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