CN105828365A - LTE cell overlapping coverage analysis method based on MR data - Google Patents
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- H—ELECTRICITY
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- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
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Abstract
The invention provides an LTE cell overlapping coverage analysis method based on the MR data. The method comprises steps that MR data acquisition is carried out, and an LTE MR data file and a cell information table are acquired; cell overlapping coverage analysis is carried out, screening is carried out, overlapping adjacent regions after screening and main cells form overlapping coverage adjacent region pairs, weight of the overlapping coverage adjacent region pairs is calculated according to the overlapping adjacent region signal point number, after priority of the overlapping coverage cells is determined according to the sequence, screening is further carried out, coverage distance analysis on the cells after weight screening is carried out, and to-be-optimized high overlapping coverage cells are determined; multi-factor association analysis is carried out, including weak coverage association analysis, useful signal proportion analysis and user concentration association analysis. Through the method, problem cells can be more accurately positioned, more reasonable optimization advices can be proposed, and omnibearing inspection and problem investigation for the overlapping coverage cells can be carried out.
Description
Technical field
The present invention relates to moving communicating field, especially relate to a kind of method that analysis little area overlappings of LTE based on MR data cover.
Background technology
The data age high-speed transfer that mechanics of communication development is current brings great convenience, TD-LTE (timesharing Long Term Evolution) network is the high speed wireless communication technology that a kind of transmission speed can exceed that 100Mbps, the same inter-frequency networking of many employings in TD-LTE networking, owing to frequency resource is limited, it is difficult to reduce the interference between community by frequency optimization, is therefore greatly increased with the risk of interferences in the case of frequency.Preferably cellular network is on the premise of ensureing user mobility, community can be made to be in a relatively low level at overlapping region, but when network structure is unreasonable, as less than normal in station spacing, higher region, site, overlapping coverage is difficult to control to, the biggest to web influence.By different Experimental Areas is carried out field test, main test overlap covers the impact on SINR.Test result indicate that, each range statistics SINR (Signal to Interference plus Noise Ratio) value out is coincide substantially with the change curve of overlapping coverage, and (i.e. region overlap covers the most serious, SINR is the poorest), and overall performance of network affected bigger by this region overlap coverage.
Therefore, the most effectively reduce little area overlapping coverage, become the problem that industry is paid close attention to.
Present analysis LTE little area overlapping coverage mainly uses frequency sweep to combine the traditional method of manual analysis, there is problems in that
(1) needing artificial analysis frequency sweep data or MR data one by one, workload is very big, and efficiency is the highest；LTEMR (MeasurementReport, measurement report) refers to that the network equipment periodically reports the data measuring wireless network, and these data may be used for network evaluation and optimization.
(2) high overlapping coverage cell is optimized with intuition by rule of thumb by network optimization personnel, and accuracy depends on network optimization personnel's experience.
(3) the high overlay cells calculated by network optimization personnel and the accuracy rate of interference source community and verity are the lowest.
(4) determination to interference source community needs too much data to be not easy to determine accurately.
Summary of the invention
Present invention aim to overcome that the most methodical deficiency, propose a kind of method utilizing MR data analysis LTE little area overlapping coverage.
Technical scheme provides a kind of LTE based on MR data little area overlapping covering analyzing method, comprises the following steps,
Step 1, carries out MR data acquisition, obtains LTEMR data file and cell information table；
Step 2, determines high overlapping coverage cell to be optimized, including following sub-step,
Step 2.1, carries out little area overlapping coverage analysis；
Step 2.2, according to the overlapping coverage analysis result of the whole network overlap coverage cell, screens according to corresponding thresholding set in advance；Step 2.3, adjacent area pair is covered by overlapping with main plot composition respectively for the overlapping adjacent area after screening, and the weight of the overlapping adjacent area pair of calculating of counting according to overlapping neighboring area signal, finally according to weight, overlap is covered adjacent area to being ranked up, determine overlapping coverage cell priority, screen according to default weight threshold；
Step 2.4, carries out coverage distance analysis to the community after being screened by weight, determines high overlapping coverage cell to be optimized；
Step 3, multifactor association analysis, including following 3 analyses,
Weak covering association analysis, including calculating main plot in the average level value of problem area, main covering level value is contrasted with weak coverage threshold, if less than the weak coverage threshold preset, then think that this community exists weak covering phenomenon overlapping covered, need to strengthen covering；
Useful signal accounting is analyzed, including carrying out the useful signal accounting analysis of each adjacent area, if manufacturing the adjacent area that interference is more, then it is assumed that be the object that optimizes of emphasis；
User's concentration degree association analysis, including calculating each overlapping user's concentration degree covering high community respectively, for the community that user's concentration degree is higher, then it is assumed that need preferentially to be optimized.
And, including according to multifactor association analysis result, determine corresponding renovation scheme.
And, MR useful signal accounting is analyzed as follows,
UsefulSigRate (a)=a community MR total sampling number ÷ (total sampling number+a community, a community is as interference sample point sum during adjacent area)
Wherein, UsefulSigRate (a) is the useful signal accounting analysis result of a community.
This programme has a following technological merit:
(1) algorithm is more excellent: unlike traditional little area overlapping coverage optimum ideals, present invention incorporates Weight algorithm and wireless signal propagation model algorithm, it is possible to more precise positioning problem cells, and can propose more reasonably Optimizing Suggestions；
(2) analyzing more comprehensively: introduce multifactor association analysis algorithm, it is more comprehensive that problem collects process, it is possible to counterweight is folded coverage cell and carried out omnibearing inspection and problem investigation.
Accompanying drawing explanation
Fig. 1 is embodiment of the present invention flow chart.
Detailed description of the invention
The present invention proposes a kind of method utilizing MR data analysis LTE little area overlapping coverage, input MR tests data, the main Serving cell reported according to MR and the information of adjacent area, signal is clustered and analyzes, can be according to MR sampled point ENodeBId and CI by under the signal gathering of same community to this community.First, automatically high overlapping coverage community is screened by the little area overlapping coverage parser set, then, for high overlapping coverage cell, be optimized by the multifactor association analysis algorithm of original creation.Use the optimum ideals of the community that multifactor association analysis little area overlapping coverage is higher.This motion carries out the comprehensive analysis of many factors association to high overlapping coverage cell, wherein comprises the overlapping adjacent area that covers to weight analysis, coverage distance analysis, weak covering analyzing, the analysis of useful signal accounting, user's concentration degree analysis etc..The concrete thought of multifactor association analysis is as follows:
(1) weighted associations analysis: the overlapping coverage cell entering packaging belt is carried out weight analysis according to hits, level factor, folds coverage cell according to weight counterweight and carry out priority rank；The overlapping adjacent area entering packaging belt can be formed one by one overlapping covering adjacent area pair respectively with main plot, and the weight of the overlapping adjacent area pair of calculating of counting according to overlapping neighboring area signal, overlap covered adjacent area to being ranked up finally according to weight, so that it is determined that adjacent area interference priorities.
(2) coverage distance association analysis: the overlapping coverage cell entering packaging belt carries out coverage distance assessment and analyzes, finds out the community that those coverage distances are abnormal；
(3) weak covering association analysis: the community of main plot and entrance packaging belt is carried out level value assessment and analyzes, level is contrasted with actual propagation model, finds out and cover the community that level is more weak and abnormal；
(4) interference source index analysis: analyze main Serving cell as the interference signal number disturbing original generation；
(5) useful signal accounting is analyzed: the interference analyzing the service still generation that main Serving cell is to provide is many；
(6) user's concentration degree association analysis: analyze user's concentration degree of high overlapping coverage cell, determines, by user's concentration degree, the priority rank that high overlapping coverage cell optimizes.
Technical solution of the present invention is described in detail below in conjunction with drawings and Examples.
The embodiment of the present invention analyzes high overlapping coverage cell according to MR data, and high overlapping coverage cell carries out multifactor association analysis, thus finally output the highest overlapping coverage cell renovation scheme.The analysis process of high overlapping coverage cell is as shown in drawings.
1, MR data acquisition
Data importing process needs the information imported have:
(1) LTEMR data file；Generally MR data include: reportTime, LteScData, Longitude, Latitude, LteScSinrUL, MmeUeS1apId, MmeCode, MmeGroupId, LteNc1, LteNc2, LteNc3, LteNc4, LteNc5, LteNc6 etc..
(2) cell information table, generally includes: ENodeBId, CI, longitude, dimension, antenna hang height, deflection, cell type, frequency, PCI etc..
2, high overlapping coverage cell is determined
(1) little area overlapping coverage is analyzed
Little area overlapping coverage index defines: in the case of using periodic measurement, if main plot is Serving cell s, the neighboring area signal total number X of all n neighbor cells that all adjacent areas, main plot occur in the measurement report of Serving cell s and RSRP received signal code power intensity difference arrives with the measurement report MR measurement of Serving cell more than the sample points sum of pre-determined threshold (thresholding is adjustable parameter, such as-6dB)allRatio.RSRP (ReferenceSignalReceivingPower, Reference Signal Received Power) is one of key parameter and the physical layer measurement demand that can represent wireless signal strength in LTE network.
Relevant statistics Chinese:
The main carrier RSRP, RSRP of LTE Serving cell represent received signal code power
The main carrier RSRP, RSRP of the defined neighboring BS relationship of LTE and undefined neighboring BS relationship community represent received signal code power
Index is to statistical data Chinese mapping algorithm:
Wherein, Xsi(6dB)Occur in the measurement report of Serving cell s for adjacent area i and RSRP difference is counted more than the signal of pre-determined threshold (such as-6dB), XallSample point sum for all main plots that the MR measurement of Serving cell s is arrived.
When being embodied as, all adjacent areas, main plot occur in the measurement report of Serving cell s and RSRP received signal code power intensity difference is more than the sample points sum of pre-determined threshold (-6dB), and below equation can be used to ask for,
Wherein (MRi*LTENcRsrp*Xj-MRi*LTEScRsrp*Yi) ＞ (-6dbm) represents this main RSRP taking the adjacent area j measured in ith sample point RSRP difference with this community sampled point more than-6dB, wherein MRiRepresenting Zhu Fu community, LTENcRsrp represents adjacent area level, XjRepresent that main clothes measure the adjacent area sampled point serial number arrived, YiRepresent the sampled point serial number of main clothes, XjValue is the 0 adjacent area number arrived to actual measurement, YiValue is 0 to the main number of samples that takes of actual samples, and * represents affiliated relation；N represent main take sampled point number, m represents that main clothes measure the adjacent area sampled point number arrived.
(2) high overlapping coverage community screening
The overlapping coverage analysis result of the whole network overlap coverage cell is screened according to corresponding thresholding set in advance, filters out the community that overlapping coverage is too high, prepare for subsequent analysis.
(3) weight calculation of overlapping coverage cell
According to (2) the selection result, the overlapping adjacent area entering packaging belt is formed one by one with main plot respectively overlapping covering adjacent area pair, and the weight of the overlapping adjacent area pair of calculating of counting according to overlapping neighboring area signal, finally according to weight, overlap is covered adjacent area to being ranked up, thus determine overlapping coverage cell priority according to ranking results, screen according to default weight threshold.
Weighing computation method is to single adjacent area A, and its weight is adjacent area A overlapped signal number/all adjacent areas total overlapped signal number.
With following analysis of cases:
As follows through analyzing overlapping coverage cell base attribute:
| Cell name | eNodeB-ID | CI | Overlapping covering | Signal is total | Overlapping adjacent area | Grid is total |
| Tong Yang country government | 334446 | 5 | 66.72% | 119798 | 13 | 157 |
Wherein, overlapping covering adjacent area is as follows to information:
| Adjacent area title | eNodeB-ID | CI | Overlapped signal | Useful signal | Weight | Distance (rice) |
| Tong Yang country government LF-2 | 334446 | 2 | 51702 | 54083 | 46.82% | 0.22 |
| Tong Yang industry park | 880294 | 6 | 4760 | 16287 | 14.1% | 1515.71 |
| Tong Yang industry park LF-3 | 880294 | 3 | 4093 | 7029 | 6.08% | 1515.71 |
| High and level tone DXLF-3 | 880251 | 3 | 7925 | 16780 | 14.52% | 473.1 |
| Yangshan, Tong sheep LF-3 | 879740 | 3 | 394 | 733 | 0.63% | 2288.28 |
| Xinhe River Pan Hu LF-1 | 880366 | 1 | 790 | 1687 | 1.46% | 4491.07 |
| Sun junior high school, Tong | 334445 | 2 | 411 | 1443 | 1.25% | 914.61 |
| Tong Yangxu village LF_6 | 880538 | 6 | 443 | 2841 | 2.46% | 3086.92 |
| Tong Yangxu village LF-3 | 880538 | 3 | 207 | 315 | 0.27% | 3086.92 |
| LF_6 is collected after the sun of Tong | 880295 | 6 | 270 | 1501 | 1.3% | 3898.71 |
| High and level tone DXLF-2 | 880251 | 2 | 5297 | 8697 | 7.53% | 473.1 |
| Sun outlet north, Tong | 898631 | 3 | 85 | 181 | 0.16% | 1818 |
| The western LF-2 of Tong rising tone | 880622 | 2 | 2672 | 3933 | 3.4% | 2269.92 |
As shown above, weight one is classified as weight calculation result, and CI represents CellID, i.e. cell ID.By weight analysis, having analyzed the following weight community more than 10%, then, the analyst coverage of problem is reduced further.
(4) coverage distance association analysis
Community after being screened by weight carries out coverage distance analysis, calculate overlapping adjacent area centering main Serving cell distance overlapping region and the distance of distance overlapping region, adjacent area respectively, and main Serving cell in problem area and adjacent area in the average level value of problem area, again the theoretical level value that level value and propagation model calculate is compared, the most i.e. can determine whether that primary area or adjacent area are the most normal to overlapping covered covering, such as, if the average level of overlapping neighboring area signal is-92, the average level calculated by propagation model is-91, two level values difference is within ± 5dbm, then think that this adjacent area covers normal, otherwise abnormal for covering.Wherein, main Serving cell in the average level value of problem area, i.e. refers to average level and the average level of main clothes point overlapping with current neighbor of adjacent area overlapped signal in problem area and adjacent area.
Connect described in example, in the community that weight is higher, find that following community is with main Serving cell coverage distance farther out:
| Adjacent area title | eNodeB-ID | CI | Overlapped signal | Useful signal | Weight | Distance (rice) |
| Tong Yang industry park | 880294 | 6 | 4760 | 16287 | 14.1% | 1515.71 |
It it is the object of emphasis optimization.
3, multifactor association analysis
(1) weak covering association analysis
Calculate main coverage cell (the most main Serving cell, main plot) in the average level value of problem area, main covering level value is contrasted with weak coverage threshold, if less than the weak coverage threshold preset, then think that this community exists weak covering phenomenon overlapping covered, need to strengthen covering.
Connecting described in example, main coverage cell resultant signal average level is-92.28dbm, without weak covering phenomenon.
| Cell name | eNodeB-ID | CI | Overlapping covering | Signal is total | Average level value |
| Tong Yang country government | 334446 | 5 | 66.72% | 119798 | -92.28 |
(2) useful signal accounting is analyzed
MR useful signal accounting parser is as follows:
UsefulSigRate (a)=a community MR total sampling number ÷ (total sampling number+a community, a community is as interference sample point sum during adjacent area)
Wherein, UsefulSigRate (a) is the useful signal accounting analysis result of a community.
By the useful signal accounting of each adjacent area is analyzed, i.e. may know that in these adjacent areas it is that useful signal interference that is many or that manufacture is more, if manufacturing the adjacent area that interference is more, being then the object of emphasis optimization.When being embodied as, it can be determined that whether useful signal accounting is less than thresholding preset value 50%, is then many for interference signal adjacent areas.
(3) user's concentration degree association analysis
Calculate each overlapping user's concentration degree covering high community respectively, be then the object of priority support for the community that those user's concentration degrees are higher, need preferentially to be optimized.User's concentration degree i.e. react current area measure must number of users, when being embodied as, can be obtained by MR data statistics.When being embodied as, it can be determined that whether the sampling of community, more than the whole network average or default respective threshold, is then higher for user's concentration degree community.
4, output renovation scheme
Useful signal accounting, with interference signal is contrary interference, the interference signal that the overlapping i.e. present invention of signal covered considers, it is high that overlap covers signal, and useful signal is the lowest.By above all association analysiss, finally find out existing problems and the community that can optimize, the problem existed by community proposes Optimizing Suggestions, realize optimizing overlapping covering by controlling to cover, ensure base station and antenna-feedback system is working properly, parameter is arranged in the case of reasonably, generally can export following several Optimized Measures:
(1) Downtilt is adjusted.
In coverage distance association analysis, generally cause this adjacent area overlapped signal too much when MPS process hypertelorism, this adjacent area is given this suggestion.
(2) antenna azimuth is adjusted.
Generally in weak covering association analysis, when the overlay area of overlay area, main plot Yu anticipation exists deviation when, this is used to adjust suggestion.
(3) power of RS is adjusted.
In weak covering and coverage distance association analysis, generally when main clothes or neighboring area signal cross weak or too strong time be given this adjust suggestion.
(4) antenna is raised and lowered and hangs height.
In weak covering and coverage distance association analysis, generally when main clothes or neighboring area signal cross weak or too strong time be given this adjust suggestion.
(5) website resettlement.
In weak covering and coverage distance association analysis, generally when main clothes or neighboring area signal cross weak or too strong time be given this adjust suggestion.
(6) newly-increased website or RRU.
Above-described embodiment flow process describes basic skills and device only for understanding the explanation present invention, but the present invention is not limited in above-described embodiment；Any simple modification, equivalent variations and the modification that in every technical spirit according to the present invention, embodiment is made, within each falling within the protection domain of technical scheme.
Claims (3)
1. LTE based on a MR data little area overlapping covering analyzing method, it is characterised in that: comprise the following steps,
Step 1, carries out MR data acquisition, obtains LTEMR data file and cell information table；
Step 2, determines high overlapping coverage cell to be optimized, including following sub-step,
Step 2.1, carries out little area overlapping coverage analysis；
Step 2.2, according to the overlapping coverage analysis result of the whole network overlap coverage cell, screens according to corresponding thresholding set in advance；Step 2.3, adjacent area pair is covered by overlapping with main plot composition respectively for the overlapping adjacent area after screening, and the weight of the overlapping adjacent area pair of calculating of counting according to overlapping neighboring area signal, finally according to weight, overlap is covered adjacent area to being ranked up, determine overlapping coverage cell priority, screen according to default weight threshold；
Step 2.4, carries out coverage distance analysis to the community after being screened by weight, determines high overlapping coverage cell to be optimized；
Step 3, multifactor association analysis, including following 3 analyses,
Weak covering association analysis, including calculating main plot in the average level value of problem area, main covering level value is contrasted with weak coverage threshold, if less than the weak coverage threshold preset, then think that this community exists weak covering phenomenon overlapping covered, need to strengthen covering；
Useful signal accounting is analyzed, including carrying out the useful signal accounting analysis of each adjacent area, if manufacturing the adjacent area that interference is more, then it is assumed that be the object that optimizes of emphasis；
User's concentration degree association analysis, including calculating each overlapping user's concentration degree covering high community respectively, for the community that user's concentration degree is higher, then it is assumed that need preferentially to be optimized.
LTE based on MR data little area overlapping covering analyzing method the most according to claim 1, it is characterised in that: include, according to multifactor association analysis result, determining corresponding renovation scheme.
LTE based on MR data the most according to claim 1 or claim 2 little area overlapping covering analyzing method, it is characterised in that: MR useful signal accounting is analyzed as follows,
UsefulSigRate (a)=a community MR total sampling number ÷ (total sampling number+a community, a community is as interference sample point sum during adjacent area)
Wherein,UsefulSigRate(a) it is the useful signal accounting analysis result of a community.
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