CN102227148A - GIS traffic model-based method of optimization analysis on wireless network - Google Patents
GIS traffic model-based method of optimization analysis on wireless network Download PDFInfo
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Abstract
The invention relates to a GIS traffic model-based method of an optimization analysis on a wireless network. The method comprises the following steps: preparing data; measuring an area of a wireless coverage area according to GIS, wherein the area is set by taking a wireless cell as a basic point; calculating a traffic of a per unit area of the set area and a traffic of a per unit area of the wireless cell; calculating a resource utilization rate of the set area and a resource utilization rate of the wireless cell; expressing a total traffic, a total resource utilization rate, traffics of services of various types and resource utilization rates of services of various types of the wireless cell on an electronic map with different layers; and classifying sizes of traffics and resource utilization rates as well as setting layer levels and corresponding colors for presentation in a same layer. Imbalance between services can be presented by contrasts of different layers. According to the invention, characteristics of traffic behaviors of users of the cell can be obtained; on the basis of presentation of different layers on a GIS platform, a comprehensive analysis is made by combining data including interference, hardware failure, and parameter, so that an optimized solution scheme of a wireless network is provided.
Description
Technical field
The invention belongs to mechanics of communication and computer application field, be specifically related to a kind of radio network optimization analytical method based on the GIS traffic model.
Background technology
In mobile radio communication, OMC statistical measurement data are records of wireless network operation conditions, running, because the huge numerous and diverse of the abstract and data volume of data makes that parsing, the analysis for the OMC data is very difficult in radio network optimization is analyzed, and be very limited to the utilization of OMC data in radio network optimization is analyzed; The wireless network KPI that contains in the OMC data and its are influenced the relation of key element, problem reason, the relation between key element covering, fault, interference, traffic, parameter, user characteristics of influencing to wireless network, the dynamic factor traffic model of wireless network performance and wireless network, the relation of wireless environment, the time of wireless network traffic model and spatial depiction can not carry out conveniently, clear, deep analysis; With the OMC data is the wireless network assessment optimization analytical technology developmental retardation of foundation, sub-district and sub-district problem are confined to search problem always, in accurate cell of origin problem reason, provide on the network optimization scheme and make little progress, it is very insufficient that the OMC data evaluate and optimize analytically utilization at wireless network.
For these reasons, wireless network is evaluated and optimized comprehensively the technology of analysis for exploitation utilization OMC data, a kind of new radio network optimization analytical method based on the GIS traffic model is proposed, by setting up the traffic model under the GIS environment, the two big dynamic factor wireless environments and the traffic of wireless network are presented intuitively, make its situation, variation and visible to the influence of wireless network performance, can analyze; In this environment to wireless network and wireless area KPI with influence key element and factor-factor relationship is carried out comprehensive association analysis, the comprehensive assessment wireless network, search wireless network all problems, Accurate Analysis location radio network problems reason, provide the radio network optimization scheme.
Summary of the invention
Problem to be solved by this invention is at the deficiencies in the prior art, provide a kind of new assessing by the traffic region to carry out the method that radio network optimization is analyzed according to the OMC data, telephone traffic, resource utilization, user behavior feature etc. are presented in the mode of scheming layer on the GIS interface, carry out comprehensive association analysis in conjunction with wireless network key elements such as KPI, fault, interference, covering, parameter, user characteristicses, for the radio network optimization analysis provides technical support.
For achieving the above object, the technical solution used in the present invention is:
A kind of radio network optimization analytical method based on the GIS traffic model is used for mobile communications networks such as GSM, CDMA, 3G, LTE, adopts computer to carry out the wireless network data analyzing and processing, builds the optimization analysis platform, it is characterized in that may further comprise the steps:
(1) obtains the geographic information data of optimizing the area by network download or purchase, extract by the OMC backstage and obtain OMC statistical measurement data, configuration data and engineering parameter; Described configuration data comprises the number of resources of cell configuration;
(2) the OMC statistical measurement data from step (1) obtain traffic data, add up the whole network and sub-district total traffic, the professional telephone traffic T (i) of variety classes according to the mode of busy period, all the period of time and other needs;
(3) carry out emulation according to geographic information data, configuration data and engineering parameter in the step (1), obtain comprising the GIS analysis platform of network configuration and sub-district covering;
(4) the GIS analysis platform amount that obtains according to step (3) is calculated the average area coverage S in each sub-district (i);
(5) according to step (2), the cell telephone traffic data T (i) that step (4) obtains, the average area coverage S (i) of each sub-district, calculation plot unit are telephone traffic A (i)=T (i)/S (i);
(6) it is average the traffic data of each sub-district to be carried out the setting regions tabulate statistics, specific algorithm is: be the center with the base station, R is that radius is drawn circle, and all sub-districts are as an objects of statistics (sub-district or the carrier frequency that comprise this base station) in the circle, and radius R is set according to scene and needs; By calculate set total traffic and various different business telephone traffics in the zone with ∑ T (i);
(7) calculate the area S that sets the zone in (6), the every traffic statistic value ∑ T (i) that adds up in (6) is gathered on average, obtain setting unit are telephone traffic a (i)=∑ T (the i)/S in zone;
(8) set up unit are traffic spirogram layer group in GIS, above-mentioned statistics is presented in GIS, different figure layers present different business, and same professional figure layer is distinguished the size of telephone traffic with different colours, with different color range distinguishing cell and setting regions;
(9) add up each cell configuration number of resources C (i) but and the unit resource traffic carried;
(10) according to the process of step (5), step (6) and step (7), the resource utilization of difference calculation plot and setting regions, formula is: resource utilization=telephone traffic/(but number of resources * unit resource traffic carried), comprise the resource utilization that the sub-district is total and the source utilance of various different business, the resource utilization that setting regions is total and the resource utilization of various different business;
(11) set up resource utilization figure layer group according to step (8), the different business resource utilization presents in difference figure layer, and same professional figure layer is distinguished the size of resource utilization with different colours, with different color range distinguishing cell and setting regions;
(12) registration data, call data are adopted the algorithm identical with telephone traffic, add up by sub-district and setting regions; Registration data comprises that start, shutdown, distance, parameter change the statistics of registration, comprises in the call data that voice, data, rising of short message service exhale and the paging statistics;
(13) statistics in the step (12) is presented in the mode of scheming layer, obtain the wireless network user behavioural characteristic;
(14) switch data between statistics BSC carries out cell-level and gathers, and presents to scheme layer mode, analyzes switching problem between BSC.
The described wireless network statistical measurement data that present in the mode of scheming layer and figure layer group comprise:
(1), presents the integrated status in wireless network traffic load time, space by calculating to sub-district and setting regions telephone traffic;
(2) by to the calculating of sub-district and setting regions resource utilization, present wireless area Internet resources configuration state and with the matching degree of traffic load;
(3) telephone traffic and resource utilization two class figure layer group in above-mentioned steps (1) and (2) are classified according to different network service, can obtain network and sub-district telephone traffic and resource utilization situation total and each individual event business;
(4) comparison of different classes of professional traffic spirogram layer, present between the business lack of uniformity and and the correlation of covering, interference, fault, configuration, resource, the improper conclusion of parameter;
The comparison of different classes of service resources utilance figure layer, the lack of uniformity of the different classes of service resources configuration of reflection network;
(5) figure layer group in above-mentioned steps (1) and (2), same class of service traffic figure layer different colours shows the matching state of different districts traffic offered situation and traffic environment peripheral with it;
Same class of service resource utilization figure layer can present the matching state of local resource utilance and neighboring area resource utilization;
(6) present by processing and figure layer to registration, call data, obtain the traffic behavioural characteristic of user in the sub-district, the analysis user behavioural characteristic makes the uncertain factor sharpening in the network optimization to the influence that network performance causes;
Comprise in the described registration data that start, shutdown, authentication, distance, parameter change the statistics of registration, comprise in the described call data that voice, data, rising of short message service exhale and the paging statistics;
(7) switch data is carried out sub-district, BSC level and converge the sum graph layer and present,, find switching problem between BSC, solve ubiquitous BSC border switching problem in conjunction with the BSC border;
(8) except that the above four class figure layer, foundation figure layer is analyzed the method that presents and also is applicable to other statistical measurement data of OMC, according to circumstances adds up and set up the figure layer, the figure layer group that need;
(9) wireless environment and the traffic sight of wireless area have intuitively been presented based on the Optimization Platform of GIS traffic model, combine with wireless network KPI and just to have constituted the wireless network parameter sightization platform is set, the intellectual search parameter is provided with irrational sub-district and parameter, carry out the adjustment that is provided with of cell parameter, set up the wireless parameter sightization according to this database is set;
(10) Optimization Platform based on the GIS traffic model combines with KPI, fault, interference, covering, parameter, the user behavior characteristic element of wireless area, constitute the comprehensive association analysis platform of radio network optimization, on platform, pass through wireless network KPI and the comprehensive association analysis that influences key element, the comprehensive assessment wireless network, search the wireless network all problems, accurately locate the wireless issue reason, provide the radio network optimization solution.
The present invention has the following advantages:
1, resolves the optimization implication of OMC data item,, wireless network and the analysis of assessment optimization thereof are become easily and intuitively as seen scheme the problem that layer mode intuitively presents wireless network architecture, resource distribution, state of affairs, adaptation situation and exist;
2, broken through the notion of traditional traffic model, set up the traffic model that is associated with GIS of concentrated expression traffic time and space characteristic, make two in the wireless network big dynamically and uncertain factor, that wireless environment and traffic factor become in the cell-level analysis is definite, visible, can analyze;
3, present by statistics different business classification traffic data; The busy not busy degree and the distribution of reflection different business, statistics to the size of different business resource utilization presents, the reasonability of reflection Internet resources configuration and the harmony between different business, present by statistics, make its sharpening that influences wireless network performance to reaction user behavior characteristic; Wireless network and wireless network traffic model adapt to situation and development trend provides technical support in order to analyze, for active network optimization and pre-network optimization lay the first stone;
4, utilize the GIS traffic model of foundation as optimizing analysis background figure layer, association presents wireless network key element and factor-factor relationships such as analyzing KPI, fault, interference, covering, can resolve the influence relation that presents between the wireless network KPI that contains in the OMC data and its effect situation that influences key element, problem reason and key element, problem reason, for radio network optimization analysis and accurate orientation problem reason provide support;
5, the figure layer that intuitively presents the wireless environment of wireless area and traffic sight combines with wireless network KPI and constitutes the wireless network parameter sightization platform is set, and realizes the sight setting of parameter, sets up wireless parameter the sight storehouse is set.
Description of drawings
Fig. 1 is a radio network optimization analytical system structure chart of the present invention.
Fig. 2 realizes module map for radio network optimization method of the present invention.
Description of reference numerals:
The 1-OMC data;
The 2-geographic information data;
The generation of 3-figure layer group;
4-builds GIS platform reduction wireless network;
5-is based on the optimization analysis platform of GIS traffic model;
6-radio network problems and solution;
7-OMC statistical measurement data;
The 8-configuration parameter;
The 9-engineering parameter
The 10-geographic information data;
The 11-traffic data;
12-calls out, registration data;
The 13-switch data;
Other OMC statistical measurement data of 14-;
15-traffic spirogram layer group;
16-resource utilization figure layer group;
17-user behavior characteristic pattern layer;
18-switches the figure layer;
Analyses such as 19-KPI and parameter, interference, fault, covering;
20-reduction wireless network and present wireless environment;
The 21-network topology structure;
22-network wireless environment;
23-sub-district emulation of coverage capability;
24-is based on the radio network optimization analysis platform of GIS traffic model;
25-result derives and preserves;
26-total traffic figure layer;
The professional traffic spirogram of 27-PS layer;
The professional traffic spirogram of 28-CS layer;
29-total resources utilance figure layer;
30-PS service resources utilance figure layer;
31-CS service resources utilance figure layer;
The 32-network condition
The 33-network problem
The 34-solution
35-voice, data, short message service traffic spirogram layer;
36-voice, data, short message resource utilization;
37-border switching problem is analyzed;
38-user behavior signature analysis;
39-sub-district and surrounding area traffic conditions;
40-sub-district and peripheral traffic environment matching;
41-sub-district and surrounding area resource utilization;
42-local resource configuration reasonableness check;
The harmonious inspection of the different classes of service resources configuration of 43-;
The setting of 44-parameter sight;
45-network problem analysis-by-synthesis
The comparative analysis of 46-figure layer and figure layer;
Embodiment
Radio network optimization analytical system structure chart as shown in Figure 1, this system is by OMC data 1, geographic information data 2, the generation 3 of figure layer group, build GIS platform reduction wireless network 4, based on optimization analysis platform 5 and the radio network problems and the solution 6 of GIS traffic model, totally 6 functional modules are formed.
As shown in Figure 2, OMC data 1 comprise OMC statistical measurement data 7, configuration parameter 8, engineering parameter 9; Wherein OMC statistical measurement data 7 comprise traffic data 11 again, call out registration data 12, switch data 13 and other OMC statistical measurement data 14.Traffic data 11 is mainly used to calculate and generates traffic spirogram layer group 15; Traffic data 11 is used for calculating and generates resource utilization figure layer group 16 in conjunction with configuration parameter 8; Register call data 12 usefulness generate user behavior characteristic pattern layer 17; Switch data 13 is used for adding up the switching figure layer 18 that presents the sub-district; Other OMC statistical measurement data 14 are used for carrying out KPI and parameter, interference, fault, covering etc. and analyze 19.Engineering parameter 9 and geographic information data 10 are used for reducing wireless network and present wireless environment 20.Reduction wireless network and present wireless environment 20 and comprise topology of networks 21 presents network wireless environment 22 and sub-district emulation of coverage capability 23.
In the traffic spirogram layer group 15, feature according to network and standard, can set up the figure layer of variety classes business, as total traffic figure layer 26, the professional traffic spirogram of PS layer 27, the professional traffic spirogram of CS layer 28 (also can set up speech business telephone traffic figure layer, data service traffic spirogram layer, short message service traffic spirogram layer etc. 35).
Resource utilization figure layer group 16 also can be according to the feature of network and standard, set up the figure layer of variety classes business, as total resources utilance figure layer 29, PS service resources utilance figure layer 30, CS service resources utilance figure layer 31 (also can set up speech business resource utilization figure layer, data service resource utilization figure layer, short message service resource utilization figure layer etc. 36)
After putting up the GIS platform, be background with above-mentioned four class figure layers, present network problem reasons 19 such as covering, interference, fault, parameter, the common radio network optimization analysis platform 24 that constitutes based on the GIS traffic model carries out association analysis and comprehensive intelligent analysis; Analysis platform provides the result to derive 25, comprises network condition 32, network problem 33, solution 34.
Radio network optimization method as shown in Figure 2 may further comprise the steps:
(1) utilizes computer to extract wireless network backstage OMC statistical measurement data 7, obtain the geographic information data 10 in network coverage area by network download or purchase;
(2) traffic data 11 is from OMC statistical measurement data 7, can be when busy, when not busy and period statistics the whole network of other needs and sub-district total traffic, the professional telephone traffic of variety classes;
(3) computer carries out emulation according to the geographic information data 10 in the step (1), engineering parameter 9, configuration parameter 8, reduction wireless network and present wireless environment 20;
(4) computer is calculated the average area coverage S in each sub-district (i) according to GIS data and electronic chart amount that step (3) obtains;
(5) computer is according to step (2), the cell telephone traffic data T (i) that step (4) obtains, the average area coverage S (i) of each sub-district, calculation plot unit are telephone traffic A (i)=T (i)/S (i);
(6) it is average the traffic data of each sub-district to be carried out local tabulate statistics, by calculate total traffic and various different business telephone traffics in the part-circular zone with ∑ Ti (i);
(7) the area S of regional area in the calculating (6) gathers on average the every traffic statistic value ∑ Ti (i) that adds up in (6), obtains unit are telephone traffic a (i)=∑ Ti (i)/S;
(8) in GIS, set up traffic spirogram layer group 15, this figure layer group is according to different standards and producer, be divided into the professional traffic spirogram of total traffic figure layer 26, PS layer 27, the professional traffic spirogram of CS layer 28 (or total traffic figure layer 26, voice, data, short message service traffic spirogram layer 35).
(9) add up each cell configuration number of resources C (i) but and the unit resource traffic carried;
(10) according to process in step (5) step (6) step (7), the resource utilization of difference calculation plot and appointed area, formula is: resource utilization=telephone traffic/(but number of resources * unit resource traffic carried) comprises the resource utilization that the sub-district is total and the resource utilization of various different business;
(11) set up resource utilization figure layer group 16 according to step (8), this figure layer group comprises resource utilization two classes of zone and sub-district equally.The same with traffic spirogram layer group 15, resource utilization figure layer group 16 is also according to different standards and producer, be divided into total resources utilance figure layer 29, PS resource utilization figure layer 30, CS resource utilization figure layer 31 (or total resources utilance figure layer 29, voice, data, short message resource utilization figure layer 36).
(12) algorithm identical with telephone traffic to the register call The data carries out the figure layer to sub-district and area data and presents, and sets up reaction wireless network user behavioural characteristic figure layer 17;
(13) utilize switch data to generate switching figure layer 18, single sub-district is added up presented;
(14) utilize other OMC statistical measurement data to obtain problem analysis of causes results such as the disturbance regime of network, covering situation, device hardware fault, draw KPI and parameter, interference, fault, covering etc. and analyze 19;
(15) radio network problems reasons such as covering, interference, fault, parameter are presented on each GIS figure layer, in the traffic environment, present of the influence of each key element to network performance, the comparison of different classes of professional traffic spirogram layer, can present the lack of uniformity between the business, the comparison of different classes of service resources utilance figure layer, the lack of uniformity of the different classes of service resources configuration of reflection network; Same class of service traffic figure layer different colours shows the matching state of different districts traffic offered situation and traffic environment peripheral with it; Same class of service resource utilization figure layer can present the matching state of local resource utilance and region resource utilance.Should mainly comprise network problem analysis-by-synthesis 45 based on the radio network optimization platform 24 of GIS traffic model, figure layer and figure layer compare of analysis 46, the parameter sightization is provided with 44 3 parts, wherein figure layer and figure layer compare of analysis 46 can carry out border switching problem analysis 37, user behavior signature analysis 38, sub-district and surrounding area traffic conditions analyze 39, sub-district and peripheral traffic environment matching analyze 40, sub-district and surrounding area resource utilization 41, local resource configuration reasonableness check 42, different classes of service resources configuration is harmonious checks 43.
(16) result derives and preserves 25, be to wireless network after carrying out the cell-level explication de texte on the GIS platform, the derivation and the preservation of network problem 32, network condition 33 and solution 34 entered system's case library.
This method to be to scheme the layer mode problem that intuitively presents wireless network architecture, resource distribution, state of affairs, adaptation situation and exist, wireless network and the analysis of assessment optimization thereof are become easily and directly perceived as seen; Set up the traffic model that is associated with GIS of concentrated expression traffic time and space characteristic, make two in the wireless network big dynamically and uncertain factor, that wireless environment and traffic factor become in the cell-level analysis is definite, visible, can analyze; Present by statistics different business classification traffic data; The busy not busy degree and the distribution of reflection different business, statistics to the size of different business resource utilization presents, the reasonability of reflection Internet resources configuration and the harmony between different business, present by statistics, make its sharpening that influences wireless network performance to reaction user behavior characteristic; Wireless network and wireless network traffic model adapt to situation and development trend provides technical support in order to analyze, for active network optimization and pre-network optimization lay the first stone; Utilize the GIS traffic model of setting up as optimizing analysis background figure layer, association presents wireless network key element and factor-factor relationships such as analyzing KPI, fault, interference, covering, can resolve the influence relation that presents between the wireless network KPI that contains in the OMC data and its effect situation that influences key element, problem reason and key element, problem reason, for radio network optimization analysis and accurate orientation problem reason provide support; The figure layer that intuitively presents the wireless environment of wireless area and traffic sight combines with wireless network KPI and constitutes the wireless network parameter sightization platform is set, and realizes the sight setting of parameter, sets up wireless parameter the sight storehouse is set.
Claims (2)
1. the radio network optimization analytical method based on the GIS traffic model is used for mobile communications networks such as GSM, CDMA, 3G, LTE, adopts computer to carry out the wireless network data analyzing and processing, builds the optimization analysis platform, it is characterized in that may further comprise the steps:
(1) obtains the geographic information data of optimizing the area by network download or purchase, extract by the OMC backstage and obtain OMC statistical measurement data, configuration data and engineering parameter; Described configuration data comprises the number of resources of cell configuration;
(2) the OMC statistical measurement data from step (1) obtain traffic data, add up the whole network and sub-district total traffic, the professional telephone traffic T (i) of variety classes according to the mode of busy period, all the period of time and other needs;
(3) carry out emulation according to geographic information data, configuration data and engineering parameter in the step (1), obtain comprising the GIS analysis platform of wireless network architecture and sub-district covering;
(4) the GIS analysis platform amount that obtains according to step (3) is calculated the average area coverage S in each sub-district (i);
(5) according to step (2), the cell telephone traffic data T (i) that step (4) obtains, the average area coverage S (i) of each sub-district, calculation plot unit are telephone traffic A (i)=T (i)/S (i);
(6) it is average the traffic data of each sub-district to be carried out the setting regions tabulate statistics, specific algorithm is: be the center with the base station, R is that radius is drawn circle, and all sub-districts are as an objects of statistics (sub-district or the carrier frequency that comprise this base station) in the circle, and radius R is set according to scene and needs; By calculate set total traffic and various different business telephone traffics in the zone with ∑ T (i);
(7) calculate the area S that sets the zone in (6), the every traffic statistic value ∑ T (i) that adds up in (6) is gathered on average, obtain setting unit are telephone traffic a (i)=∑ T (the i)/S in zone;
(8) set up unit are traffic spirogram layer group in GIS, above-mentioned statistics is presented in GIS, different figure layers present different business, and same professional figure layer is distinguished the size of telephone traffic with different colours, with different color range distinguishing cell and setting regions;
(9) add up each cell configuration number of resources C (i) but and the unit resource traffic carried;
(10) according to the process of step (5), step (6) and step (7), the resource utilization of difference calculation plot and setting regions, formula is: resource utilization=telephone traffic/(but number of resources * unit resource traffic carried), comprise the resource utilization that the sub-district is total and the resource utilization of various different business, the resource utilization that setting regions is total and the resource utilization of various different business;
(11) set up resource utilization figure layer group according to step (8), the different business resource utilization presents in difference figure layer, and same professional figure layer is distinguished the size of resource utilization with different colours, with different color range distinguishing cell and setting regions;
(12) registration data, call data are adopted the algorithm identical with telephone traffic, add up by sub-district and setting regions; Registration data comprises that start, shutdown, distance, parameter change the statistics of registration, comprises in the call data that rising of voice, data, short message service etc. exhaled and the paging statistics;
(13) statistics in the step (12) is presented in the mode of scheming layer, obtain the wireless network user behavioural characteristic;
(14) switch data between statistics BSC carries out cell-level and gathers, and presents to scheme layer mode, analyzes switching problem between BSC.
2. a kind of network optimization analytical method based on the GIS traffic model according to claim 1 is characterized in that the described wireless network statistical measurement data that present in the mode of scheming layer and figure layer group, comprising:
(1), presents the integrated status in wireless network traffic load time, space by calculating to sub-district and setting regions telephone traffic;
(2) by to the calculating of sub-district and setting regions resource utilization, present wireless area Internet resources configuration state and with the matching degree of traffic load;
(3) telephone traffic and resource utilization two class figure layer group in above-mentioned steps (1) and (2) are classified according to different network service, can obtain network and sub-district telephone traffic and resource utilization situation total and each individual event business;
(4) comparison of different classes of professional traffic spirogram layer, present between the business lack of uniformity and and the correlation of covering, interference, fault, configuration, resource, the improper conclusion of parameter;
The comparison of different classes of service resources utilance figure layer, the lack of uniformity of the different classes of service resources configuration of reflection network;
(5) figure layer group in above-mentioned steps (1) and (2), same class of service traffic figure layer different colours shows the matching state of different districts traffic offered situation and traffic environment peripheral with it;
Same class of service resource utilization figure layer can present the matching state of local resource utilance and neighboring area resource utilization;
(6) present by processing and figure layer to registration, call data, obtain the traffic behavioural characteristic of user in the sub-district, the analysis user behavioural characteristic makes the uncertain factor sharpening in the network optimization to the influence that network performance causes;
Comprise in the described registration data that start, shutdown, authentication, distance, parameter change the statistics of registration, comprise in the described call data that voice, data, rising of short message service exhale and the paging statistics;
(7) switch data is carried out sub-district, BSC level and converge the sum graph layer and present,, find switching problem between BSC, solve ubiquitous BSC border switching problem in conjunction with the BSC border;
(8) except that the above four class figure layer, foundation figure layer is analyzed the method that presents and also is applicable to other OMC statistical measurement data, according to circumstances adds up and set up the figure layer, the figure layer group that need;
(9) wireless environment and the traffic sight of wireless area have intuitively been presented based on the Optimization Platform of GIS traffic model, combine with wireless network KPI and just to have constituted the wireless network parameter sightization platform is set, the intellectual search parameter is provided with irrational sub-district and parameter, carry out the adjustment that is provided with of cell parameter, set up the wireless parameter sightization according to this database is set;
(10) combine based on key elements such as the KPI of the Optimization Platform of GIS traffic model and wireless area, fault, interference, covering, parameter, user behavior features, constitute the comprehensive association analysis platform of radio network optimization, on platform, pass through wireless network KPI and the comprehensive association analysis that influences key element, the comprehensive assessment wireless network, search the wireless network all problems, accurately locate the wireless issue reason, provide the radio network optimization solution.
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| CN113709796A (en) * | 2021-08-27 | 2021-11-26 | 中国电信股份有限公司 | Wireless network performance analysis method, device and system |
| CN114245392A (en) * | 2021-12-20 | 2022-03-25 | 哈尔滨入云科技有限公司 | 5G network optimization method and system |
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