CN103167505B - A kind of cell data channel arrangement method and system - Google Patents
A kind of cell data channel arrangement method and system Download PDFInfo
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- CN103167505B CN103167505B CN201110426126.1A CN201110426126A CN103167505B CN 103167505 B CN103167505 B CN 103167505B CN 201110426126 A CN201110426126 A CN 201110426126A CN 103167505 B CN103167505 B CN 103167505B
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Abstract
The invention discloses a kind of cell data channel arrangement method and system, method comprises step: gather Zone data; According to gathered Zone data, community identical for traffic performance is classified as a class; Adopt homing method for the community of each type, set up channel and the incidence relation between parameter configuration and network index; According to the channel of the community for each type and the incidence relation between parameter configuration and network index, resource distribution is carried out to respective cell.System comprises: data acquisition module, cell classification module and configuration module.Have employed technical scheme of the present invention, can make rational planning for data traffic channels, both ensured the quality ensureing data service, improved user awareness, improve again the utilization ratio of data channel simultaneously as much as possible, improve the quality of voice service.
Description
Technical field
The present invention relates to wireless technical field, particularly a kind of cell data channel arrangement method and system.
Background technology
Cambay algorithm is current widely used a kind of data traffic channels collocation method.Its key introduces service resource intensity, different business is to the situation that the takies difference of Radio Resource, it is more that high speed business takies resource, and it is less that Low-rate traffic takies stock number, and campbell model definition service resource intensity reflects that different business takies situation to Radio Resource.In GPRS (GeneralPacketRadioService, general packet radio service technology) system, service resource intensity is exactly the demand to bandwidth, with single timeslot capacity bandwidth for 1, if the service resource intensity of often kind of business is A
i, the telephone traffic of often kind of business is E
i, then the service resource intensity of virtual service (Campbell's business) and telephone traffic are
If a community can provide n physical slot by time for gprs service, then quite
use, to n in providing Campbell's channel to Campbell's business
xthe traffic carrying capacity calculated according to ErlangB formula (call loss as 2%) divided by Campbell's traffic carrying capacity of every user, the number of users that Ji Shi community can be supported.
Similar, also have No. CN102083215A, Chinese patent to propose the method configured for data channel, comprising: obtain the current data amount needing to carry out the community that PDCH (PacketDataChannel, Packet Data Channel) configures; And according to the current data amount of acquisition and the quality of service condition of setting, determine the current required PDCH configurable number in this community; The quality of service condition of setting characterizes the data transmission rates demands of this community; And according to the current required PDCH configurable number determined, PDCH configuration is carried out to this community.
Traditional radio channel resource planning adopts Campbell algorithm, there is much artificial hypotheses in this algorithm, as: each service request data transmits continuously with average bandwidth, and each letter of application number of channels of terminal is the minimum channel number etc. enough meeting bandwidth demand.The Block rank of the single actual tangible RLC of data service (RadioLinkControl, wireless spread-spectrum technology) layer multiplexing, has sudden.First hypothesis reduces reusing degree and the service efficiency of channel, and second hypothesis then reduces line concentration efficiency, because terminal to apply time slot half is according to the application of hardware capabilities rank, and not differentiated service.
Owing to all there are differences in business proportioning and data service customers behavioural characteristic in different districts, the traffic performance obtained according to certain cell data and allocation plan can reach very high accuracy for this community, but for other communities, due to the difference of traffic performance, accuracy is just had a greatly reduced quality.Exist in practical application and cannot carry out the problems such as rapid deployment on a large scale.
The method mentioned in patent CN102083215A and Campbell theory are similar to, but take into account quality of service condition, increase in this respect.Problem is that the scheme configured obtains, for certain community, cannot promoting on a large scale equally.
Summary of the invention
The object of this invention is to provide a kind of cell data channel arrangement method and system, can make rational planning for data traffic channels, both ensure the quality ensureing data service, improved user awareness, improve again the utilization ratio of data channel simultaneously as much as possible, promote the quality of voice service.
Provide a kind of cell data channel arrangement method in the embodiment of the present invention and comprise step:
Gather Zone data; According to gathered Zone data, community identical for traffic performance is classified as a class; Adopt homing method for the community of each type, set up channel and the incidence relation between parameter configuration and network index; According to the channel of the community for each type and the incidence relation between parameter configuration and network index, resource distribution is carried out to respective cell.
Cell data channel arrangement method of the present invention, further comprising the steps of:
Evaluate and test the change of KPI Key Performance Indicator before and after the resource distribution adjustment of described respective cell, if evaluation result is undesirable, then re-establish channel and the incidence relation between parameter configuration and network index, to desirable to described evaluation result.
Cell data channel arrangement method of the present invention, obtain the KPI of local resource configuration, judge whether described KPI reaches preset value, if reached, then described evaluation result is desirable, otherwise described evaluation result is undesirable.
Cell data channel arrangement method of the present invention, Zone data are gathered by data snapshot system.
Cell data channel arrangement method of the present invention, described traffic performance comprises the data traffic of business, the Zone frequency and Zone duration.
Cell data channel arrangement method of the present invention, adopts the method for data mining, by clustering algorithm, community identical for traffic performance is classified as a class.
Cell data channel arrangement method of the present invention, comprises further, carries out preliminary treatment to gathered Zone data, obtains the Zone data after processing; Using the Zone data after process as input, first utilize clustering algorithm Twostep to obtain target classification number, with target classification number for input, utilize clustering algorithm K-means to obtain cell type numbering; Cell type numbering is verified, if the result is undesirable, then adjusts the parameter of Twostep and/or K-means, until result is desirable.
Cell data channel arrangement method of the present invention, the step setting up channel and the incidence relation between parameter configuration and network index comprises further, sets up the forecast model to network index TRF239; Set up the forecast model to configuration parameter CDEF; Corresponding CDED parameter configuration is calculated according to congestion ratio.
Cell data channel arrangement method of the present invention, sets up and comprises further the step of the forecast model of network index TRF239, selected prediction independent variable; Data transaction is carried out to independent variable; With the data after independent variable conversion for input, use the algorithm of multiple linear regression, calculate result; Result is analyzed, if do not reach evaluation index, then reselects independent variable, or the data transaction of alternate manner is carried out to independent variable, or select other fitting algorithm, to reaching evaluation index.
Cell data channel arrangement method of the present invention, set up and the step of the forecast model of configuration parameter CDEF is comprised further, using TRF_239, lifting territory network configuration parameters, community speech list time-slot load and data sheet time-slot load as independent variable, use linear regression algorithm, calculate CDEF.
Cell data channel arrangement method of the present invention, also comprises: according to Zone data, adopts traditional decision-tree to obtain cell type mapping ruler collection.
The embodiment of the present invention additionally provides a kind of cell data channel configuration system, comprising: data acquisition module, cell classification module and configuration module; Data acquisition module, for gathering Zone data; Cell classification module, for the Zone data gathered according to data acquisition module, is classified as a class by community identical for traffic performance; Configuration module, for the community of each type divided for cell classification module, sets up corresponding channel and the incidence relation between parameter configuration and network index.
Cell data channel configuration system of the present invention, also comprise evaluation and test module, for basis for the channel of the community of each type and the incidence relation between parameter configuration and network index, after resource distribution is carried out to respective cell, the change of KPI Key Performance Indicator before and after evaluation and test local resource configuration adjustment, if undesirable, then call configuration module and re-establish channel and the incidence relation between parameter configuration and network index, desirable to the result to the change evaluation and test to local resource configuration adjustment front and back KPI Key Performance Indicator.
Cell data channel configuration system of the present invention, also comprises cell type mapping ruler collection generation module, for according to Zone data, adopts traditional decision-tree to obtain cell type mapping ruler collection.
Technique effect of the present invention is, can make rational planning for data traffic channels, has both ensured the quality ensureing data service, has improved user awareness, improved again the utilization ratio of data channel simultaneously as much as possible, promoted the quality of voice service.
Other features and advantages of the present invention will be set forth in the following description, and, partly become apparent from specification, or understand by implementing the present invention.Object of the present invention and other advantages realize by structure specifically noted in write specification, claims and accompanying drawing and obtain.
Below by drawings and Examples, technical scheme of the present invention is described in further detail.
Accompanying drawing explanation
Accompanying drawing is used to provide a further understanding of the present invention, and forms a part for specification, together with embodiments of the present invention for explaining the present invention, is not construed as limiting the invention.In the accompanying drawings:
Fig. 1 is the cell data channel arrangement method flow chart in the specific embodiment of the invention one;
Fig. 2 is the flow chart that in the specific embodiment of the invention one, cluster obtains the further refinement of step of cell type;
Fig. 3 is the flow chart of the further refinement of step that in the specific embodiment of the invention one, parameter and configuration relation are set up;
Fig. 4 is the flow chart of the further refinement of step that in the specific embodiment of the invention one, TRF239 prediction returns;
Fig. 5 uses the specific embodiment of the invention one, subtracts after the community of joining reconfigures to needs, TBF_38C subtract hold before and after contrast schematic diagram;
Fig. 6 uses the specific embodiment of the invention one, subtracts after the community of joining reconfigures to needs, TBF_16C subtract hold before and after contrast schematic diagram;
Fig. 7 uses the specific embodiment of the invention one, subtracts after the community of joining reconfigures to needs, LLC_3 subtract hold before and after contrast schematic diagram;
Fig. 8 uses the specific embodiment of the invention one, subtracts after the community of joining reconfigures to needs, single time-slot load subtract hold before and after contrast schematic diagram;
Fig. 9 uses the specific embodiment of the invention one, after reconfiguring, contrasts schematic diagram before and after TBF_38C dilatation to needing the community of dilatation;
Figure 10 uses the specific embodiment of the invention one, after reconfiguring, contrasts schematic diagram before and after TBF_16 dilatation to needing the community of dilatation;
Figure 11 uses the specific embodiment of the invention one, after reconfiguring, contrasts schematic diagram before and after LLC_3 dilatation to needing the community of dilatation;
Figure 12 uses the specific embodiment of the invention one, after reconfiguring, contrasts schematic diagram before and after single time-slot load dilatation to needing the community of dilatation;
Figure 13 is the cell data channel configuration system schematic in the specific embodiment of the invention two.
Embodiment
Below in conjunction with accompanying drawing, the preferred embodiments of the present invention are described, should be appreciated that preferred embodiment described herein is only for instruction and explanation of the present invention, is not intended to limit the present invention.
Below with reference to Figure of description, describe the present invention in detail.
As shown in Figure 1, a kind of cell data channel arrangement method, comprises step: gather Zone data; According to gathered Zone data, community identical for traffic performance is classified as a class; Adopt homing method for the community of each type, set up channel and the incidence relation between parameter configuration and network index; According to the channel of the community for each type and the incidence relation between parameter configuration and network index, resource distribution is carried out to respective cell.
Zone characteristic relevant information is obtained by " data snapshot " system that have employed DPI (DeepPacketInspection, deep packet identification) technology of Nokia Siemens Networks company.In order to reach more accurate radio-resource-configuration, 7*24 hour data (extract wherein morning and afternoon six totally hours business busy) will be gathered.Zone characteristic will comprise the data traffic of all kinds of business in community, the Zone frequency (business initiation number of times), Zone duration.Require that the flow of discernible type of service should at least contain 80% of total flow, at least comprise browse, instant messaging, stock, game, download, MMS (MultimediaMessagingService, MMS (Multimedia Message Service)), the conventional business such as mail, residue small-flow service will no longer segment.
Because the kind of business is more, bring the data of very various dimensions, use conventional methods the information being difficult to therefrom find needs.As shown in Figure 2, adopt the method for data mining in the method for the invention, by clustering algorithm, the community of identical for traffic performance (comprising service distribution, the information such as the business frequency) is classified as a class.Each community should belong to and only belong to some cell types.
By data prediction step, input data are selected and processed.Such as: the missing data (i.e. null value) occurred in data acquisition, abnormal data (do not meet normal logic or away from most data point) etc., need to get rid of.
Secondly, in existing network data, have the flow of partial service all very little, even have these service traffics of a lot of community to be 0, business so like this should be excluded outside our clustering algorithm.Because itself does not have otherness, not getting rid of such input data only can increase the complexity of cluster and affect result.
In addition, some data service has close part in its characteristic, and namely it has similar demand to radio channel resource, therefore these service combining can be become a class business to process.
Present invention uses K-means and twostep two kinds of clustering algorithms.Usage data digging tool (as: PASWmodeler), import the data that preliminary treatment completes, Twostep is first utilized to obtain more rational target classification number, then in K-means algorithm, set this target classification number, after each record, obtain the label of classification belonging to, the cell type obtained is namely numbered.
The accuracy of the cell type numbering obtained is verified.The first checking means to get on checking from the judgment criteria of data digging method, by the assessment of cohesion with the profile measurements be separated, weighs the quality of classification.When this index is greater than 0.25, cluster result belongs to fair, if be greater than 0.5, has then belonged to well.The second checking is means is for characteristic geographic area, and whether obtained cell categories has higher consistency.The third checking means are started with from network index, observes its index of each cell type and present the traffic performance whether meeting expection.If product test is defective, then reselect suitable variable, or adjustment clustering algorithm parameter etc., until the result obtained can mathematically with in business be accepted.
For each type cell, seek relation between the resource distribution of such community applicable and primary quality measure.As shown in Figure 3, the process of homing method foundation configuration and the incidence relation between parameter and network index divides three steps: calculate TRF239; Calculate CDEF; Calculate CDED.By calculating TRF239, set up the forecast model to network index TRF239; By calculating TRF239, set up the forecast model to configuration parameter CDEF; By calculating TRF239, calculate corresponding CDED parameter configuration according to congestion ratio.
The actual downstream data traffic timeslot number used of TRF_239 statistics, reflection be the actual service condition of Radio Resource of data service.Can be used as within the scope of specific selecting index is the demand number of data wireless resource.Study the formation of TRF_239 and each business and the corresponding relation of other indexs in the community of different cluster, can be used as the assessment level of radio resource requirements that later stage business increases or increases website newly, facilitate calculating and the planning of resource requirement.
As shown in Figure 4, set up the forecast model of network index TRF239 is mainly comprised the steps:
Selected prediction independent variable; Data transaction is carried out to independent variable; With the data after independent variable conversion for input, use the algorithm of multiple linear regression, calculate result; Result is analyzed, if do not reach evaluation index, then reselects independent variable, or the data transaction of alternate manner is carried out to independent variable, or select other fitting algorithm, to reaching evaluation index.
About choosing key index parameter.In conjunction with professional knowledge and correlation analysis, final selected prediction independent variable is: TBF_38C (AverageDLTBFpertimeslot, average descending every time slot TBF number, TBF is the abbreviation of TemporaryBlockFlow Temporary Block Flow), RLC_DL (RadioLinKControl_DownLinK, data downstream flow), the information such as the frequency and flow accounting of all kinds of business in community.
Data transaction is carried out to independent variable, makes to there is linear relationship between the data after conversion and target variable.Available conversion means comprise logarithm, secondary, three times, oppositely, power, S, growth, index etc.In an embodiment of method of the present invention, power conversion is used for TBF_38C.
About the selection of arithmetic of linearity regression.There are four kinds for algorithm parameter, are respectively: Enter, Step, Forward and Backward.In an embodiment of method of the present invention, select Step to carry out matching, for each class community, the input variable of algorithms selection is discrepant.
Analyze about to fitting result.While obtaining fit equation, also can obtain the leading indicator that some evaluate fitting precision simultaneously, as R2 etc., if the goodness of fit is 0.80, then reach required precision.If do not reach evaluation index, so need to reselect independent variable, or independent variable is processed, or select other fitting algorithm.
CDEF refers to the channel for data service under default condition, i.e. Data Dynamic channel, when the busy and voice channel of speech business take reach certain proportion time, it can be exchanged into voice channel and uses.In the method for the invention, CDEF contains CDED static slot, therefore CDEF >=CDED.The number of times that rational CDEF settings will make community reduce lifting territory, reduces the system loading of system.
After obtaining TRF_239, it can be used as independent variable, territory network configuration parameters, community speech list time-slot load and data sheet time-slot load will be elevated also as independent variable simultaneously, use the method for linear regression, set up the incidence relation between itself and CDEF, obtain rational CDEF Configuration Values.
CDEF is default CS (CircuitService, voice domain) and the border in PS (PacketService data field) territory, and its setting possesses following features:
Can not the frequent promotion and demotion because of the impact of PS traffic in PS territory;
Can not the frequent promotion and demotion because of the impact of CS traffic in CS territory;
Because CS traffic load algorithm change is set, the change of CDEF can not have influence on the half rate accounting of CS;
Because CDEF can not have influence on TRF_239 and data traffic, so the considerable change of PDCH (PacketDataChannel, Packet Data Channel) service efficiency can not be caused.
CDED refers to the channel being exclusively used in data service, i.e. data inactivity channel, and under any circumstance speech business all can not take, and only distributes to data service and takies.If CDED arranges too large, the more resource of data field can not be taken in the situation that voice service is higher, may cause congested.And if CDED arranges too little, then, when voice service is higher, voice service will extrude Data Dynamic channel, until static channel, too small static state letter state settings then can cause the congested of data service.
The setting of CDED is the use in order to minimally guarantee data service, and therefore namely the settings of CDED should study the minimum channel Configuration Values when not causing the data of community firmly congested.In method of the present invention, hard congestion metric TBF_16 is chosen 0.5%-1% interval as firmly congested critical of generation.
In conjunction with the voice service of community, calculate the number of channel (ERL-B algorithm more widely can be applied according to current) of speech demand and the number of channel (the data channel resource demand result according to studying) of data traffic requirement above, provide community increase-volume or subtract the suggestion of appearance, and drop into new CDED/CDEF (data inactivity time slot/Data Dynamic time slot) parameter of planning and configuration according to new carrier frequency number.
KPI (KeyPerformanceIndicator, the KPI Key Performance Indicator method) change of before and after local resource configuration adjustment one week observed in record, comprises data and voice.Change undesirable as index or cannot explain, then needing to consider adjustment Selecting parameter, re-start the incidence relation excacation between parameter and network index.In an actual project, utilize cell data channel arrangement method of the present invention, information is joined in the increase and decrease according to each community obtained, and has done the adjustment of configuration to respective cell.The community of joining is subtracted, to such as mistake before and after its index for needs! Do not find Reference source.(for every a pair comparison square close to each other, before left pane signal adjustment, after right pane signal adjustment) shown in Fig. 5 to Fig. 8, can see, although key index slightly worsens, all meet the requirement of network quality index examination.So namely, reach maintenance quality of service, but save channel, improve the object of efficient network resource usage.For the community needing dilatation, its key index as shown in Fig. 9 to Figure 12 (for every a pair comparison square close to each other, before left pane signal adjustment, after right pane signal adjustment), all be improved, reach the requirement of operation index, improve the quality of data service, improve user awareness.
Generate cell channel planning principles, this principle is integrated in software, so that follow-up large scale deployment.The interface of tool software requires succinctly bright and clear, simple to operate easy-to-use.Need to possess the interface with database, the tables of data of needs can be obtained from existing database.Function need meet data importing, browse, analyzes and configure automatic generation, result derivation etc.
Traditional decision-tree is adopted to obtain cell type mapping ruler.According to Zone information data, after obtaining cell type by clustering method, in order to promote the use of, the rule of the service feature of Neng Jiangge community and affiliated subdistrict type is needed to decide.As long as there is new data input like this, the cell type belonging to it just can be obtained at once.
Utilizing traditional decision-tree, by training the service feature data of community, finding out the corresponding relation between itself and cell type.Adopt the decision Tree algorithms of C5.0 in an embodiment of method of the present invention, realize the effective division between all communities and available cell type.
According to Zone data, the traditional decision-tree in Data Mining Tools is adopted to obtain cell type mapping ruler collection, corresponding relation between the service feature data of recording cell and cell type, wherein rule set is all with If ... then ... the mode of else is expressed.Therefore, in the tool, first by the rule set of solidification, achieve by the mapping of the cell characteristic information inputted to cell type.Then the regression model of each type cell of being applicable to by obtaining before obtains such community applicable, and for the reasonable parameter channel configuration of each community different business flow.
The present invention also disclosed a kind of cell data channel configuration system, and as shown in figure 13, this system comprises: data acquisition module, cell classification module and configuration module; Data acquisition module, for gathering Zone data; Cell classification module, for the Zone data gathered according to data acquisition module, is classified as a class by community identical for traffic performance; Configuration module, for the community of each type divided for cell classification module, sets up corresponding channel and the incidence relation between parameter configuration and network index.
A kind of cell data channel configuration system, also comprise evaluation and test module, for basis for the channel of the community of each type and the incidence relation between parameter configuration and network index, after resource distribution is carried out to respective cell, the change of KPI Key Performance Indicator before and after evaluation and test local resource configuration adjustment, if undesirable, then call configuration module and re-establish channel and the incidence relation between parameter configuration and network index, desirable to the result to the change evaluation and test to local resource configuration adjustment front and back KPI Key Performance Indicator.
A kind of cell data channel configuration system, also comprises cell type mapping ruler collection generation module, for according to Zone data, adopts traditional decision-tree to obtain cell type mapping ruler collection.
In sum, in the present invention, a kind of cell data channel arrangement method described in employing and system, can make rational planning for data traffic channels, both the quality ensureing data service had been ensured, improve user awareness, improve again the utilization ratio of data channel simultaneously as much as possible, promote the quality of voice service.
Claims (13)
1. a cell data channel arrangement method, is characterized in that, comprises step:
Gather Zone data;
According to gathered Zone data, community identical for traffic performance is classified as a class;
Adopt homing method for the community of each type, set up channel and the incidence relation between parameter configuration and network index;
According to the channel of the community for each type and the incidence relation between parameter configuration and network index, resource distribution is carried out to respective cell;
Wherein, the step setting up channel and the incidence relation between parameter configuration and network index comprises further,
Set up the forecast model to network index TRF239;
Set up the forecast model to configuration parameter CDEF;
Corresponding CDED parameter configuration is calculated according to congestion ratio.
2. the method for claim 1, is characterized in that, further comprising the steps of:
Evaluate and test the change of KPI Key Performance Indicator before and after the resource distribution adjustment of described respective cell, if evaluation result is undesirable, then re-establish channel and the incidence relation between parameter configuration and network index, until described evaluation result is desirable.
3. method as claimed in claim 2, is characterized in that, obtain the KPI of local resource configuration, judge whether described KPI reaches preset value, if reached, then described evaluation result is desirable, otherwise described evaluation result is undesirable.
4. the method as described in claim 1,2 or 3, is characterized in that, Zone data are gathered by data snapshot system.
5. the method as described in claim 1,2 or 3, is characterized in that, described traffic performance comprises the data traffic of business, the Zone frequency and Zone duration.
6. the method as described in claim 1,2 or 3, is characterized in that, adopts the method for data mining, by clustering algorithm, community identical for traffic performance is classified as a class.
7. method as claimed in claim 6, comprises further,
Preliminary treatment is carried out to gathered Zone data, obtains the Zone data after processing;
Using the Zone data after process as input, first utilize clustering algorithm Twostep to obtain target classification number, with target classification number for input, utilize clustering algorithm K-means to obtain cell type numbering;
Cell type numbering is verified, if the result is undesirable, then adjusts the parameter of Twostep and/or K-means, until result is desirable.
8. the method for claim 1, is characterized in that, sets up and comprises further the step of the forecast model of network index TRF239,
Selected prediction independent variable;
Data transaction is carried out to independent variable;
With the data after independent variable conversion for input, use the algorithm of multiple linear regression, calculate result;
Result is analyzed, if do not reach evaluation index, then reselects independent variable, or the data transaction of alternate manner is carried out to independent variable, or select other fitting algorithm, until reach evaluation index.
9. the method for claim 1, is characterized in that, sets up and comprises further the step of the forecast model of configuration parameter CDEF,
Using TRF239, lifting territory network configuration parameters, community speech list time-slot load and data sheet time-slot load as independent variable, use linear regression algorithm, calculate CDEF.
10. the method as described in claim 1,2 or 3, is characterized in that, also comprise:
According to Zone data, traditional decision-tree is adopted to obtain cell type mapping ruler collection.
11. 1 kinds of cell data channel configuration systems, is characterized in that, comprising: data acquisition module, cell classification module and configuration module;
Data acquisition module, for gathering Zone data;
Cell classification module, for the Zone data gathered according to data acquisition module, is classified as a class by community identical for traffic performance;
Configuration module, for the community of each type divided for cell classification module, sets up corresponding channel and the incidence relation between parameter configuration and network index;
Wherein, the step setting up channel and the incidence relation between parameter configuration and network index in configuration module comprises further,
Set up the forecast model to network index TRF239;
Set up the forecast model to configuration parameter CDEF;
Corresponding CDED parameter configuration is calculated according to congestion ratio.
12. systems as claimed in claim 11, it is characterized in that, also comprise evaluation and test module, for basis for the channel of the community of each type and the incidence relation between parameter configuration and network index, after resource distribution is carried out to respective cell, the change of KPI Key Performance Indicator before and after evaluation and test local resource configuration adjustment, if undesirable, then call configuration module and re-establish channel and the incidence relation between parameter configuration and network index, until desirable to the result of the change evaluation and test of KPI Key Performance Indicator before and after local resource configuration adjustment.
13. systems as described in claim 11 or 12, is characterized in that, also comprise cell type mapping ruler collection generation module, for according to Zone data, adopt traditional decision-tree to obtain cell type mapping ruler collection.
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| CN101998465A (en) * | 2009-08-21 | 2011-03-30 | 中国移动通信集团设计院有限公司 | Method and system for optimizing network |
| CN102083215A (en) * | 2009-11-30 | 2011-06-01 | 中国移动通信集团吉林有限公司 | Packet data channel configuring method and device |
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| CN103167505A (en) | 2013-06-19 |
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