CN104853379A - Wireless network quality assessment method and device - Google Patents
Wireless network quality assessment method and device Download PDFInfo
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- CN104853379A CN104853379A CN201410055066.0A CN201410055066A CN104853379A CN 104853379 A CN104853379 A CN 104853379A CN 201410055066 A CN201410055066 A CN 201410055066A CN 104853379 A CN104853379 A CN 104853379A
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Abstract
The invention discloses a wireless network quality assessment method and device so as to improve wireless network quality assessment result accuracy; the wireless network quality assessment method comprises the following steps: obtaining network quality assessment parameters of a random community, wherein the network quality assessment parameters comprise any one or a random combination of the following parameters: network measure report MR data, alarm information and engineering parameters; assessing the wireless network quality of the community and outputting the assessing result according to different wireless network quality assessment types and the obtained network quality assessment parameters.
Description
Technical field
The present invention relates to wireless communication technology field, particularly relate to a kind of quality of wireless network appraisal procedure and device.
Background technology
In prior art, evaluate and optimize for LTE network, the main means adopted are drive test (DT, Drive Test) at present.Drive test is to GSM, WCDMA, TDSCDMA, the downstream signal of the wireless networks such as LTE, namely the air interface (Um) of each wireless network is tested, be mainly used in obtaining following data: serving cell signal intensity, speech quality, the signal strength signal intensity instruction Ec of neighbor cell and signal quality instruction Ec/Io, the signaling procedure switching and access, code is known in community, area identity, service building success rate, switching proportion, up-downgoing average throughput, geographical position residing for mobile phone, call manager, mobile management business setup delay equivalent, its effect is mainly the assessment of network quality and the optimization of wireless network.
According to different demands, the service feature of wireless environment is verified, and correlation acquisition data are provided, for supporting making rational planning for of wireless network environment and distributing rationally of resource, can be wireless environment issue handling simultaneously and related data support is provided.
The coverage condition of wireless network can be reflected by drive test, also can reappear problem by drive test.But because drive test (DT) data can only reflect road network situation, cannot characterize indoor coverage situation, and when using drive test (DT) to reappear problem, cannot reduce problem generation environment completely, this have impact on the accuracy of quality of wireless network assessment result.
Summary of the invention
The embodiment of the present invention provides a kind of quality of wireless network appraisal procedure and device, in order to improve the accuracy of quality of wireless network assessment result.
The embodiment of the present invention provides a kind of quality of wireless network appraisal procedure, comprising:
Obtain the network quality evaluate parameter of arbitrary community, described network quality evaluate parameter comprises following any one or combination in any: Network Measurement Report MR data, warning information and engineering parameter;
For different quality of wireless network evaluation type, the quality of wireless network of network quality evaluate parameter to described community according to obtaining is assessed and exports assessment result.
The embodiment of the present invention provides a kind of quality of wireless network apparatus for evaluating, comprising:
Data acquisition module, for obtaining the network quality evaluate parameter of arbitrary community, described network quality evaluate parameter comprises following any one or combination in any: Network Measurement Report MR data, warning information and engineering parameter;
Data analysis module, for for different quality of wireless network evaluation type, the quality of wireless network of network quality evaluate parameter to described community according to obtaining is assessed;
Output presents module, for exporting assessment result.
The quality of wireless network appraisal procedure that the embodiment of the present invention provides and device, assess in conjunction with the quality of wireless network of one or more parameter to community in the Network Measurement Report data of community, warning information and engineering parameter, in above-mentioned each network quality evaluate parameter, MR data can not only reflect road network situation, the situation of indoor network coverage can also be reflected, thus extend assessment quality of wireless network can network parameter, thus improve the accuracy of quality of wireless network assessment.
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.
Accompanying drawing explanation
Accompanying drawing described herein is used to provide a further understanding of the present invention, forms a part of the present invention, and schematic description and description of the present invention, for explaining the present invention, does not form inappropriate limitation of the present invention.In the accompanying drawings:
Fig. 1 is in the embodiment of the present invention, the implementing procedure schematic diagram of quality of wireless network appraisal procedure;
Fig. 2 is in the embodiment of the present invention, the implementing procedure schematic diagram of the weak coverage evaluating of network;
Fig. 3 is in the embodiment of the present invention, the structural representation of quality of wireless network apparatus for evaluating.
Embodiment
In order to improve the accuracy of quality of wireless network assessment, embodiments provide a kind of quality of wireless network appraisal procedure and device.
Below in conjunction with Figure of description, the preferred embodiments of the present invention are described, be to be understood that, preferred embodiment described herein is only for instruction and explanation of the present invention, be not intended to limit the present invention, and when not conflicting, the embodiment in the present invention and the feature in embodiment can combine mutually.
Assess quality of wireless network, except using drive test (DT) to carry out except network coverage test, problem repetition, Network Measurement Report (MR) is also very important data.MR data can not only road test data (DT) be supplemented, all right independent assessment network performance, are the necessary conditions analyzing network configuration.As shown in Figure 1, be the implementing procedure schematic diagram of the quality of wireless network appraisal procedure that the embodiment of the present invention provides, can comprise the following steps:
S101, obtain the network quality evaluate parameter of arbitrary community;
Wherein, network quality evaluate parameter comprises following any one or combination in any: Network Measurement Report MR data, warning information and engineering parameter;
S102, for different quality of wireless network evaluation type, according to obtain the quality of wireless network of network quality evaluate parameter to described community assess;
S103, output assessment result.
The MR related in the embodiment of the present invention is data from MR measurement report file.MR measurement report file is divided into MRO, MRE and MRS tri-kinds of data types, MRO represents measurement report sample data file, do not comprise the sample data that event triggers, MRE represents the measurement report sample data that event triggers, and MRS represents measurement report statistics file.
MR measurement report file comprises: data type, equipment manufacturer's information, eNodeB(base station) information, Cell(community) information, C-RNTI(RRC connect temporary mark) information, MR measure item index, Measuring Time, on call time and measurement period; MR data comprise cell-level data, specifically comprise: indoor probability (%) etc. is beaten in the weak coverage in community (%), covering adjacent area disappearance probability (%), the weak coverage strength of cell edge (%), outdoor.
The warning information related in the embodiment of the present invention can comprise: antenna warning information and RRU warning information and eNodeB information, Cell information, alarm code, standard alarm code, alarm level, time of origin, alarm clearing time and duration (hh:mm:ss) etc.;
The engineering parameter related in the embodiment of the present invention can be, but not limited to comprise: the base station information such as eNodeB information, Cell information, frequency, PCI, base station longitude, base station dimension, overlay area, cover type, antenna azimuth, angle of declination, antenna height.
Embodiment for a better understanding of the present invention, is described the quality of wireless network assessment of weak covering below.
As shown in Figure 2, be the implementing procedure schematic diagram of the weak coverage evaluating of network, can comprise the following steps:
Whether S201, the weak coverage in inspection community exceed weak coverage threshold value, and if so, perform step S202, if not, flow process terminates.
Preferably, weak coverage threshold value can be, but not limited to be set as 5%, if meet Rule of judgment, illustrates that community exists weak covering problem, enters step S202; Otherwise illustrate that this community stops judging flow process without covering problem.
The weak coverage in its small area is MR data, refers to the ratio of weak covering sampled point in whole sampled point in community, namely
wherein: R represents the weak coverage in community; R represents community weak covering sampled point quantity, the weak covering in community sampled point quantity be in described community Reference Signal Received Power RSRP lower than the sampled point quantity of the first preset value; T represents whole sampled point quantity.-110dBm is set to for the first preset value, weak covering sampled point quantity refers to main Serving cell RSRP(Reference Signal Received Power in MR data) the sampled point quantity of <-110dBm, and the weak coverage in community=weak covering sampling number/total sampling number * 100%.
Whether the warning information of S202, inspection community comprises antenna warning information or RRU(Remote Radio Unit) warning information, if so, perform step S203, if not, perform step S204.
S203, be defined as the weak covering of network that hardware device fault causes, flow process terminates.
During concrete enforcement, to be correlated with alarm if the warning information of community exists antenna and RRU, the weak covering of network that hardware device fault causes can be defined as, and to export assessment result, as shown in table 1:
Table 1
| Questions and prospect | Suggestion and measure |
| The weak covering that hardware device fault causes | By warning information investigation fault |
S204, judge that whether cover adjacent area disappearance probability exceedes disappearance probability threshold value, if so, performs step S205, if not, performs step S206;
Preferably, lack probability threshold value to can be, but not limited to be set as 5%.
S205, be defined as adjacent area leak join the weak covering of the network caused, flow process terminates.
If the covering adjacent area disappearance probability of community is greater than disappearance probability threshold value (5%), is then defined as adjacent area leakage and joins the weak covering of the network caused, and export judged result, as shown in table 2:
Table 2
| Questions and prospect | Suggestion and measure |
| Adjacent area is leaked and is joined the weak covering caused | Check that adjacent area is leaked and join (Serving cell-adjacent cell to) |
Wherein covering adjacent area disappearance probability is MR data, can be, but not limited to determine in such a way:
wherein: P
1represent and cover adjacent area disappearance probability; N represents in the sampled point of described community RSRP lower than the second preset value, and physics adjacent area RSRP is higher than described second preset value and be greater than the sampled point quantity of the 3rd preset value with the difference of described community RSRP; N represents the sampled point quantity of described community RSRP lower than the second preset value.-110dBm is set to the second preset value, it is example that 3rd preset value is set to 3dB, covering adjacent area disappearance probability is main Serving cell RSRP and is less than in the sampled point of-110dBm, the RSRP of the neighbor cell of non-neighboring BS relationship be greater than-110dBm and than main Serving cell RSRP height 3dB sampled point shared by ratio, i.e. (physics adjacent area RSRP>-110dBm & & (RSRP-main Serving cell, physics adjacent area RSRP>3dB) & & main Serving cell RSRP<-110dBm sampling number)/total sampling number * 100% of main Serving cell RSRP<-110dBm.Adjacent area lacks: meet the physics adjacent area covering adjacent area disappearance probability >5%, exports adjacent area disappearance sampled point >30, Serving cell and the disappearance adjacent cell pair of disappearance accounting >50%.
S206, judge whether the weak coverage strength of cell edge exceedes the weak coverage strength threshold value in edge, if so, perform step S207, otherwise perform step S212.
Preferably, the weak coverage strength threshold value in the edge of community can be, but not limited to be set as 70%.
Wherein the weak coverage strength in edge is MR data, can be, but not limited to determine in such a way:
wherein: S represents the weak coverage strength of cell edge; M represents that, in the sampled point of community RSRP lower than the 4th preset value, adjacent area RSRP is lower than described 4th preset value or the sampled point quantity without adjacent area RSRP; M represents the sampled point quantity of described community RSRP lower than the 4th preset value.-110dBm is set to for the 4th preset value, the weak coverage strength in edge refers to that main Serving cell RSRP is less than in the sampled point of-110dBm, the strongest adjacent area RSRP be also less than-110dBm or without other neighboring area signal sampled point shared by ratio, i.e. ((adjacent cell RSRP<-110dBm or without adjacent area RSRP) & & main Serving cell RSRP<-110dBm sampling number)/main Serving cell RSRP<-110dBm sampling number * 100%.
S207, judge whether minimum station spacing exceedes station spacing threshold value, if so, perform step S208, if not, perform step S209;
If meet edge weak coverage strength > thresholding (70%), then judge whether minimum station spacing is greater than station spacing threshold value, wherein minimum station spacing refers to the air line distance of being separated by nearest according to calculation of longitude & latitude between two LTE websites.Preferably, station spacing threshold value can be, but not limited to be set as 1500 meters.
S208, be defined as the weak covering of network that isolated community causes, flow process terminates.
Export judged result, as shown in table 3:
Table 3
| Questions and prospect | Suggestion and measure |
| The weak covering that isolated community causes | Add station and mend covering |
S209, judge outdoor beat indoor probability and whether exceed and outdoorly beat indoor probability threshold value, if so, execution step S210, otherwise, execution step S211;
If do not meet minimum station spacing > thresholding (1500 meters), then judge outdoor beat indoor probability and whether be greater than outdoor and beat indoor probability threshold value.Wherein indoor probability is beaten in outdoor is MR data, can be, but not limited to determine in such a way:
wherein: P
2represent outdoor and beat indoor probability; K represents in the sampled point of described community RSRP lower than the 5th preset value, RSRP be greater than the 6th preset value and be less than described 5th preset value and and absolute difference between the described community RSRP quantity that is less than the adjacent area of the 7th preset value be no more than the sampled point quantity of the 8th preset value; K represents the sampled point quantity of described community RSRP lower than the 5th preset value.-110dBm is set to the 5th preset value, 6th preset value is set to-120dBm, the 7th preset value is set to 6dB and the 8th preset value is set to 1 for example, outdoor beat indoor probability and refer in the sampled point of main Serving cell RSRP<-110dBm, main plot RSRP is between-110dBm and-120dBm and satisfied | and the adjacent area number that adjacent cell RSRP-main plot RSRP| is less than 6dB is less than or equal to the ratio shared by sampled point of 1.Preferably, outdoorly beat indoor probability threshold value and can be, but not limited to be set as 35%.
S210, be defined as normal outdoor cover indoor scene, flow process terminates.
Export judged result, as shown in table 4:
Table 4
| Questions and prospect |
| Normal outdoor cover indoor scene |
S211, be defined as the weak covering of network that the weak covering of cell edge causes.
Export judged result, as shown in table 5:
Table 5
S212, other special weak covering scene.
Concrete, Output rusults is as shown in table 6:
Table 6
| Questions and prospect | Suggestion and measure |
| Other special screnes | Special analysis, on-the-spot investigation |
Preferably, in the embodiment of the present invention, before execution step 102, preliminary treatment can also be carried out to the network quality evaluate parameter obtained, form the Back ground Information lists such as MR, alarm and engineering parameter and store; Need definition MR data according to quality of wireless network analysis, and form the pre-statistical form of MR data and store; According to quality of wireless network analytical method, call the Back ground Information lists such as the pre-statistical form of relevant MR, alarm.Wherein, preliminary treatment is carried out to MR sample data, form the pre-statistical form of MR of cell granularity and hour granularity respectively and store.MR measurement report file, according to the MR data type that MRO, MRE and MRS tri-kinds is different, more than calls time and adds up and form the Back ground Information list of MR data.
For warning information, put in storage with alarm time of origin statistics and form the Back ground Information list of alarm data.
For engineering parameter, carry out statistics with Cell information and put in storage and the Back ground Information list forming engineering parameter.
Preferably, can be, but not limited to the assessment result presenting the weak coverage evaluating of corresponding network in modes such as form, tendency chart, distribution map, GIS map and documents.Wherein: distribution map intuitively presents the ratio situation of normal cell and problem cells in network in the mode of distribution map (block diagram), simultaneously also present in the mode of distribution map (block diagram) the problem cells ratio situation that disparate networks reason causes intuitively; Tendency chart intuitively presents a certain performance assessment criteria in network Zhong Mou community variation tendency situation of (as day granularity) within a period of time flexibly in the mode of tendency chart; Form is divided into and comprises the assessment of the whole network level and cell-level assessment, the total evaluation situation of the whole network level assessment output network; Cell-level assessment exports detailed cell evaluation result, case study positioning scenarios; GIS map, exports the ground physics and chemistry distribution situation of LTE problem cells, presents cell evaluation situation with different colours in the mode of GIS map; Document, exports the detailed assessment result in LTE community, network problem location in the mode of document and optimizes and revises suggestion.
The quality of wireless network appraisal procedure that the embodiment of the present invention provides can be applied to the assessment of LTE quality of wireless network, the assessment of other types quality of wireless network can certainly be applied to, wireless network as various types of in TD-SCDMA, GSM, WCDMA and CDMA2000 etc.
Based on work ginseng information in the embodiment of the present invention, network optimization personnel are helped to judge network problem more intuitively; Utilize Network Measurement Report (MR) data, not only can reflect road network situation, the judgement of indoor network coverage can also be carried out, network configuration is judged clearly.In addition, according to the network problem judged, the embodiment of the present invention additionally provides Optimizing Suggestions.
Based on same inventive concept, a kind of quality of wireless network apparatus for evaluating is additionally provided in the embodiment of the present invention, the principle of dealing with problems due to said apparatus is similar to quality of wireless network appraisal procedure, and therefore the enforcement of said apparatus see the enforcement of method, can repeat part and repeat no more.
As shown in Figure 3, be the structural representation of the quality of wireless network apparatus for evaluating that the embodiment of the present invention provides, comprise:
Data acquisition module 301, for obtaining the network quality evaluate parameter of arbitrary community, network quality evaluate parameter comprises following any one or combination in any: Network Measurement Report MR data, network performance index KPI data, warning information, cell parameter and engineering parameter;
Data analysis module 302, for for different quality of wireless network evaluation type, the quality of wireless network of network quality evaluate parameter to community according to obtaining is assessed;
Output presents module 303, for exporting assessment result.
During concrete enforcement, quality of wireless network evaluation type comprises the weak coverage evaluating of network; MR data comprise the weak coverage in community, cover adjacent area disappearance probability, the weak coverage strength of cell edge, outdoor beat indoor probability; Engineering parameter comprises base station longitude and base station dimension; And
Data analysis module 302, comprising:
The weak coverage evaluating submodule 3021 of network, if when exceeding weak coverage threshold value for the weak coverage in community, checks whether warning information comprises antenna warning information or radio frequency remote unit RRU warning information; If comprise antenna warning information or radio frequency remote unit RRU warning information, be defined as the weak covering of network that hardware device fault causes; If do not comprise antenna warning information or radio frequency remote unit RRU warning information, judge whether cover adjacent area disappearance probability exceedes disappearance probability threshold value; If cover adjacent area disappearance probability to exceed disappearance probability threshold value, be defined as adjacent area leakage and join the weak covering of the network caused; If cover adjacent area disappearance probability to be no more than disappearance probability threshold value, judge whether the weak coverage strength of cell edge exceedes the weak coverage strength threshold value in edge; If the weak coverage strength of cell edge exceedes the weak coverage strength threshold value in edge, also judge whether the minimum station spacing determined exceedes station spacing threshold value according to base station longitude and base station dimension determination minimum station spacing; If minimum station spacing exceedes station spacing threshold value, be defined as the weak covering of network that isolated community causes; If minimum station spacing is no more than station spacing threshold value, judge outdoor beat indoor probability and whether exceed outdoor and beat indoor probability threshold value; Beat indoor probability to be no more than outdoor to beat indoor probability threshold value if outdoor, be defined as the weak covering of network that the weak covering of cell edge causes.
During concrete enforcement, data analysis module, can also comprise: the weak coverage determination in community submodule 3022, for determining the weak coverage in described community in accordance with the following methods:
wherein: R represents the weak coverage in community; R represents community weak covering sampled point quantity, the weak covering in described community sampled point quantity be in described community Reference Signal Received Power RSRP lower than the sampled point quantity of the first preset value; T represents whole sampled point quantity.
During concrete enforcement, data analysis module, can also comprise: covering adjacent area disappearance probability determination submodule 3023, covering adjacent area disappearance probability for determining in accordance with the following methods:
wherein: P
1represent and cover adjacent area disappearance probability; N represents in the sampled point of described community RSRP lower than the second preset value, and physics adjacent area RSRP is higher than described second preset value and be greater than the sampled point quantity of the 3rd preset value with the difference of described community RSRP; N represents the sampled point quantity of described community RSRP lower than the second preset value.
During concrete enforcement, data analysis module, can also comprise: cell edge weak coverage strength determination submodule 3024, for determining the weak coverage strength of cell edge in accordance with the following methods:
wherein: S represents the weak coverage strength of cell edge; M represents that, in the sampled point of community RSRP lower than the 4th preset value, adjacent area RSRP is lower than described 4th preset value or the sampled point quantity without adjacent area RSRP; M represents the sampled point quantity of described community RSRP lower than the 4th preset value.
During concrete enforcement, data analysis module, can also comprise: indoor probability determination submodule 3025 is beaten in outdoor, for determining that indoor probability is beaten in outdoor in accordance with the following methods:
wherein: P
2represent outdoor and beat indoor probability; K represents in the sampled point of described community RSRP lower than the 5th preset value, RSRP be greater than the 6th preset value and be less than described 5th preset value and and absolute difference between the described community RSRP quantity that is less than the adjacent area of the 7th preset value be no more than the sampled point quantity of the 8th preset value; K represents the sampled point quantity of described community RSRP lower than the 5th preset value.
Preferably, export and present module 303 and may be used for adopting following either type to export assessment result: distribution map, tendency chart, form, GIS map and document.
During concrete enforcement, the quality of wireless network apparatus for evaluating that the embodiment of the present invention provides can also comprise data preprocessing module, for at data analysis module 302 for different for different quality of wireless network evaluation type, assess according to the quality of wireless network of network quality evaluate parameter to community obtained and before exporting assessment result, preliminary treatment carried out to the network quality evaluate parameter obtained.
For convenience of description, above each several part is divided into each module (or unit) according to function and describes respectively.Certainly, the function of each module (or unit) can be realized in same or multiple software or hardware when implementing of the present invention.
Those skilled in the art should understand, embodiments of the invention can be provided as method, system or computer program.Therefore, the present invention can adopt the form of complete hardware embodiment, completely software implementation or the embodiment in conjunction with software and hardware aspect.And the present invention can adopt in one or more form wherein including the upper computer program implemented of computer-usable storage medium (including but not limited to magnetic disc store, CD-ROM, optical memory etc.) of computer usable program code.
The present invention describes with reference to according to the flow chart of the method for the embodiment of the present invention, equipment (system) and computer program and/or block diagram.Should understand can by the combination of the flow process in each flow process in computer program instructions realization flow figure and/or block diagram and/or square frame and flow chart and/or block diagram and/or square frame.These computer program instructions can being provided to the processor of all-purpose computer, special-purpose computer, Embedded Processor or other programmable data processing device to produce a machine, making the instruction performed by the processor of computer or other programmable data processing device produce device for realizing the function of specifying in flow chart flow process or multiple flow process and/or block diagram square frame or multiple square frame.
These computer program instructions also can be stored in can in the computer-readable memory that works in a specific way of vectoring computer or other programmable data processing device, the instruction making to be stored in this computer-readable memory produces the manufacture comprising command device, and this command device realizes the function of specifying in flow chart flow process or multiple flow process and/or block diagram square frame or multiple square frame.
These computer program instructions also can be loaded in computer or other programmable data processing device, make on computer or other programmable devices, to perform sequence of operations step to produce computer implemented process, thus the instruction performed on computer or other programmable devices is provided for the step realizing the function of specifying in flow chart flow process or multiple flow process and/or block diagram square frame or multiple square frame.
Although describe the preferred embodiments of the present invention, those skilled in the art once obtain the basic creative concept of cicada, then can make other change and amendment to these embodiments.So claims are intended to be interpreted as comprising preferred embodiment and falling into all changes and the amendment of the scope of the invention.
Obviously, those skilled in the art can carry out various change and modification to the present invention and not depart from the spirit and scope of the present invention.Like this, if these amendments of the present invention and modification belong within the scope of the claims in the present invention and equivalent technologies thereof, then the present invention is also intended to comprise these change and modification.
Claims (18)
1. a quality of wireless network appraisal procedure, is characterized in that, comprising:
Obtain the network quality evaluate parameter of arbitrary community, described network quality evaluate parameter comprises following any one or combination in any: Network Measurement Report MR data, warning information and engineering parameter;
For different quality of wireless network evaluation type, the quality of wireless network of network quality evaluate parameter to described community according to obtaining is assessed and exports assessment result.
2. the method for claim 1, is characterized in that, described MR data comprise the weak coverage in community, cover adjacent area disappearance probability, the weak coverage strength of cell edge, outdoor beat indoor probability; Described engineering parameter comprises base station longitude and base station dimension.
3. method as claimed in claim 2, it is characterized in that, described quality of wireless network evaluation type comprises the weak coverage evaluating of network; And
For different quality of wireless network evaluation type, the quality of wireless network of network quality evaluate parameter to described community according to obtaining is assessed and exports assessment result, specifically comprises:
If when the weak coverage in community exceedes weak coverage threshold value, check whether described warning information comprises antenna warning information or radio frequency remote unit RRU warning information;
If comprise antenna warning information or radio frequency remote unit RRU warning information, be defined as the weak covering of network that hardware device fault causes;
If do not comprise antenna warning information or radio frequency remote unit RRU warning information, judge whether cover adjacent area disappearance probability exceedes disappearance probability threshold value;
If cover adjacent area disappearance probability to exceed disappearance probability threshold value, be defined as adjacent area leakage and join the weak covering of the network caused;
If cover adjacent area disappearance probability to be no more than disappearance probability threshold value, judge whether the weak coverage strength of cell edge exceedes the weak coverage strength threshold value in edge;
If the weak coverage strength of cell edge exceedes the weak coverage strength threshold value in edge, also judge whether the minimum station spacing determined exceedes station spacing threshold value according to base station longitude and base station dimension determination minimum station spacing;
If minimum station spacing exceedes station spacing threshold value, be defined as the weak covering of network that isolated community causes;
If minimum station spacing is no more than station spacing threshold value, judge outdoor beat indoor probability and whether exceed outdoor and beat indoor probability threshold value;
Beat indoor probability to be no more than outdoor to beat indoor probability threshold value if outdoor, be defined as the weak covering of network that the weak covering of cell edge causes.
4. method as claimed in claim 2 or claim 3, is characterized in that, determine the weak coverage in described community in accordance with the following methods:
wherein:
R represents the weak coverage in community;
R represents community weak covering sampled point quantity, the weak covering in described community sampled point quantity be in described community Reference Signal Received Power RSRP lower than the sampled point quantity of the first preset value;
T represents whole sampled point quantity.
5. method as claimed in claim 2 or claim 3, is characterized in that, determines in accordance with the following methods to cover adjacent area disappearance probability:
wherein:
P
1represent and cover adjacent area disappearance probability;
N represents in the sampled point of described community RSRP lower than the second preset value, and physics adjacent area RSRP is higher than described second preset value and be greater than the sampled point quantity of the 3rd preset value with the difference of described community RSRP;
N represents the sampled point quantity of described community RSRP lower than the second preset value.
6. method as claimed in claim 2 or claim 3, is characterized in that, determine the weak coverage strength of cell edge in accordance with the following methods:
wherein:
S represents the weak coverage strength of cell edge;
M represents that, in the sampled point of community RSRP lower than the 4th preset value, adjacent area RSRP is lower than described 4th preset value or the sampled point quantity without adjacent area RSRP;
M represents the sampled point quantity of described community RSRP lower than the 4th preset value.
7. method as claimed in claim 2 or claim 3, is characterized in that, determines that indoor probability is beaten in outdoor in accordance with the following methods:
wherein:
P
2represent outdoor and beat indoor probability;
K represents in the sampled point of described community RSRP lower than the 5th preset value, RSRP be greater than the 6th preset value and be less than described 5th preset value and and absolute difference between the described community RSRP quantity that is less than the adjacent area of the 7th preset value be no more than the sampled point quantity of the 8th preset value;
K represents the sampled point quantity of described community RSRP lower than the 5th preset value.
8. the method as described in claim 1,2 or 3, is characterized in that, adopts following either type to export assessment result: distribution map, tendency chart, form, GIS map and document.
9. the method as described in claim 1,2 or 3, is characterized in that, for different quality of wireless network evaluation type, assesses and before exporting assessment result, also comprise according to the quality of wireless network of network quality evaluate parameter to described community obtained:
Preliminary treatment is carried out to the network quality evaluate parameter obtained.
10. a quality of wireless network apparatus for evaluating, is characterized in that, comprising:
Data acquisition module, for obtaining the network quality evaluate parameter of arbitrary community, described network quality evaluate parameter comprises following any one or combination in any: Network Measurement Report MR data, warning information and engineering parameter;
Data analysis module, for for different quality of wireless network evaluation type, the quality of wireless network of network quality evaluate parameter to described community according to obtaining is assessed;
Output presents module, for exporting assessment result.
11. devices as claimed in claim 10, is characterized in that, described MR data comprise the weak coverage in community, cover adjacent area disappearance probability, the weak coverage strength of cell edge, outdoor beat indoor probability; Described engineering parameter comprises base station longitude and base station dimension.
12. devices as claimed in claim 11, it is characterized in that, described quality of wireless network evaluation type comprises the weak coverage evaluating of network; And
Described data analysis module, comprising:
The weak coverage evaluating submodule of network, if when exceeding weak coverage threshold value for the weak coverage in community, checks whether described warning information comprises antenna warning information or radio frequency remote unit RRU warning information; If comprise antenna warning information or radio frequency remote unit RRU warning information, be defined as the weak covering of network that hardware device fault causes; If do not comprise antenna warning information or radio frequency remote unit RRU warning information, judge whether cover adjacent area disappearance probability exceedes disappearance probability threshold value; If cover adjacent area disappearance probability to exceed disappearance probability threshold value, be defined as adjacent area leakage and join the weak covering of the network caused; If cover adjacent area disappearance probability to be no more than disappearance probability threshold value, judge whether the weak coverage strength of cell edge exceedes the weak coverage strength threshold value in edge; If the weak coverage strength of cell edge exceedes the weak coverage strength threshold value in edge, also judge whether the minimum station spacing determined exceedes station spacing threshold value according to base station longitude and base station dimension determination minimum station spacing; If minimum station spacing exceedes station spacing threshold value, be defined as the weak covering of network that isolated community causes; If minimum station spacing is no more than station spacing threshold value, judge outdoor beat indoor probability and whether exceed outdoor and beat indoor probability threshold value; Beat indoor probability to be no more than outdoor to beat indoor probability threshold value if outdoor, be defined as the weak covering of network that the weak covering of cell edge causes.
13. devices as described in claim 11 or 12, it is characterized in that, described data analysis module, also comprises:
The weak coverage determination in community submodule, for determining the weak coverage in described community in accordance with the following methods:
wherein: R represents the weak coverage in community; R represents community weak covering sampled point quantity, the weak covering in described community sampled point quantity be in described community Reference Signal Received Power RSRP lower than the sampled point quantity of the first preset value; T represents whole sampled point quantity.
14. devices as described in claim 11 or 12, it is characterized in that, described data analysis module, also comprises:
Covering adjacent area disappearance probability determination submodule, covering adjacent area disappearance probability for determining in accordance with the following methods:
wherein: P
1represent and cover adjacent area disappearance probability; N represents in the sampled point of described community RSRP lower than the second preset value, and physics adjacent area RSRP is higher than described second preset value and be greater than the sampled point quantity of the 3rd preset value with the difference of described community RSRP; N represents the sampled point quantity of described community RSRP lower than the second preset value.
15. devices as described in claim 11 or 12, it is characterized in that, described data analysis module, also comprises:
Cell edge weak coverage strength determination submodule, for determining the weak coverage strength of cell edge in accordance with the following methods:
wherein: S represents the weak coverage strength of cell edge; M represents that, in the sampled point of community RSRP lower than the 4th preset value, adjacent area RSRP is lower than described 4th preset value or the sampled point quantity without adjacent area RSRP; M represents the sampled point quantity of described community RSRP lower than the 4th preset value.
16. devices as described in claim 11 or 12, it is characterized in that, described data analysis module, also comprises:
Indoor probability determination submodule is beaten in outdoor, for determining that indoor probability is beaten in outdoor in accordance with the following methods:
wherein: P
2represent outdoor and beat indoor probability; K represents in the sampled point of described community RSRP lower than the 5th preset value, RSRP be greater than the 6th preset value and be less than described 5th preset value and and absolute difference between the described community RSRP quantity that is less than the adjacent area of the 7th preset value be no more than the sampled point quantity of the 8th preset value; K represents the sampled point quantity of described community RSRP lower than the 5th preset value.
17. devices as described in claim 10,11 or 12, is characterized in that,
Described output presents module, exports assessment result: distribution map, tendency chart, form, GIS map and document specifically for adopting following either type.
18. devices as described in claim 10,11 or 12, is characterized in that, also comprise:
Data preprocessing module, for at described data analysis module for different quality of wireless network evaluation type, before assessing according to the quality of wireless network of network quality evaluate parameter to described community obtained, preliminary treatment is carried out to the network quality evaluate parameter obtained.
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