CN104780560A - Cell PCI interference detection method and system - Google Patents

Cell PCI interference detection method and system Download PDF

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Publication number
CN104780560A
CN104780560A CN201510178653.3A CN201510178653A CN104780560A CN 104780560 A CN104780560 A CN 104780560A CN 201510178653 A CN201510178653 A CN 201510178653A CN 104780560 A CN104780560 A CN 104780560A
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cell
community
frequency
data
serving cell
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CN104780560B (en
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谭景文
陈震
卢佑楠
王志
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Guangdong Haige iscreate Technology Co. Ltd.
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GUANGDONG ISCREATE TECHNOLOGY Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/08Testing, supervising or monitoring using real traffic
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/10Scheduling measurement reports ; Arrangements for measurement reports
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W36/00Hand-off or reselection arrangements
    • H04W36/0005Control or signalling for completing the hand-off
    • H04W36/0083Determination of parameters used for hand-off, e.g. generation or modification of neighbour cell lists

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

The invention provides a cell PCI (Physical Cell Identity) interference detection method and system. The method comprises the following steps: reading network basic information, obtaining adjacent measurement data, obtaining switching data according to data switched from a serving cell to a single same-frequency cell and data switched from the serving cell to all same-frequency cells, performing weighted calculation on the adjacent measurement data and the switching data, obtaining a relevant coefficient among the same-frequency cells, calculating a cell PCI interference value according to the relevant coefficient among the same-frequency cells and finally detecting cell PCI interference according to the cell PCI interference value. In the whole process, the adjacent measurement data and the switching data are integrated to analyze the tightness among the cells, and the weighted calculation is adopted for obtaining the cell PCI interference value, so that the PCI interference value is accurate to calculate and more conforms to actual situations, and the accurate detection on the cell PCI interference is realized.

Description

Community PCI interference detection method and system
Technical field
The present invention relates to communication technical field, particularly relate to community PCI interference detection method and system.
Background technology
PCI is LTE (Long Term Evolution, Long Term Evolution) Physical Cell Identifier of network, for distinguishing the wireless signal of different districts, span is 0-503, its computing formula is: PCI=PSS (master sync signal)+3SSS (auxiliary synchronous signals), the span of PSS is the span of 0-2, SSS is 0-167.
PCI planning should follow following constraints: 1, under same base station, the PCI mould 3 of different districts is different, i.e. mod (PCI1,3) ≠ mod (PCI2,3); 2, the residual value of neighbor cell PCI mould 6 is different, i.e. mod (PCI1,6) ≠ mod (PCI2,6); 3, the PCI between all adjacent areas not etc., i.e. PCI (1) ≠ PCI (2); 4, neighbor cell PCI mould 30 residual value is different, i.e. mod (PCI1,30) ≠ mod (PCI2,30).
Visible in LTE technical field, PCI planning is a crucial technology, and the PCI distributed between neighbor cell is improper, can disturb, affect the performance of LTE communication network, and before PCI is planned, we need to detect accurately PCI interference value, guarantee PCI planning rationally.
Summary of the invention
Based on this, be necessary, for being badly in need of the accurate detection method of a kind of community PCI interference value at present, guaranteeing the problem that PCI makes rational planning for, provide one to detect community PCI interference detection method and system accurately.
A kind of community PCI interference detection method, comprises step:
Read network foundation information, and according to described network foundation information, obtain adjacent measurement data;
Read Serving cell and be switched to each co-frequency cell data, be switched to single co-frequency cell data according to Serving cell and Serving cell is switched to all homogeneous frequency adjacent areas data, obtain switch data;
Described adjacent measurement data and described switch data are weighted, obtain coefficient correlation between co-frequency cell;
According to coefficient correlation between co-frequency cell, calculation plot PCI interference value;
According to community PCI interference value, PCI interference in community is detected.
A kind of community PCI Interference Detection system, comprising:
Adjacent measurement data acquisition module, for reading network foundation information, and according to described network foundation information, obtains adjacent measurement data;
Switch data acquisition module, is switched to each co-frequency cell data for reading Serving cell, is switched to single co-frequency cell data and Serving cell is switched to all homogeneous frequency adjacent areas data according to Serving cell, obtains switch data;
Coefficient correlation acquisition module between co-frequency cell, for being weighted described adjacent measurement data and described switch data, obtains coefficient correlation between co-frequency cell;
Computing module, for according to coefficient correlation between co-frequency cell, calculation plot PCI interference value;
Detection module, for according to community PCI interference value, detects community PCI interference.
Community of the present invention PCI interference detection method and system, read network foundation information, obtain adjacent measurement data, be switched to single co-frequency cell data according to Serving cell and Serving cell is switched to all homogeneous frequency adjacent areas data, obtain switch data, adjacent measurement data and switch data are weighted, obtain coefficient correlation between co-frequency cell, according to coefficient correlation between co-frequency cell, calculation plot PCI interference value, last according to community PCI interference value, PCI interference in community is detected.In whole process, comprehensive adjacent measurement data and switch data analyze the tightness degree of minizone, and adopt weighting process to calculate acquisition community PCI interference value, guarantee that PCI interference value calculates accurate, more tally with the actual situation, realize the accurate detection that community PCI is disturbed.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of community of the present invention one of them embodiment of PCI interference detection method;
Fig. 2 is the refinement schematic flow sheet of step S100 in Fig. 1;
Fig. 3 is the refinement schematic flow sheet of step S200 in Fig. 1;
Fig. 4 is the refinement schematic flow sheet of step S300 in Fig. 1
Fig. 5 is the structural representation of community of the present invention one of them embodiment of PCI Interference Detection system;
Fig. 6 is the concrete structure schematic diagram of adjacent measurement data acquisition module 100 in Fig. 5;
Fig. 7 is the concrete structure schematic diagram of switch data acquisition module 200 in Fig. 5;
Fig. 8 is the concrete structure schematic diagram of coefficient correlation acquisition module 300 between co-frequency cell in Fig. 5.
Embodiment
As shown in Figure 1, a kind of community PCI interference detection method, comprises step:
S100: read network foundation information, and according to described network foundation information, obtain adjacent measurement data.
Network foundation information can comprise cell name, community longitude and latitude, azimuth, community, ECGI (E-UTRAN Cell Global Identifier, E-UTRAN Cell Global Identifier) and neighboring BS information.In a communication network, can draw and be provided with multiple physical area, in order to distinguish these communities, identification marking---the PCI unique respectively to each physical area, whole LTE network is a huge network, in order to accurately navigate to the community (Serving cell) needing to search, need to obtain from data analyses such as cell name, community longitude and latitude, azimuth, community and ECGI.In whole LTE network, between community, may association being there is, being called adjacent area by there is with Serving cell the community associated.The degree of association between different districts is different, here, after network foundation Information locating community, obtains the adjacent measurement data of community, adopts adjacent measurement data to react the degree of association between community.Wherein in an embodiment, common-frequency cell signal interaural correlation coefficient CORsi can be obtained according to adjacent measurement data, CORsi refers to frequently peripheral cell to co-frequency cell, Serving cell coefficient correlation, and namely peripheral cell I occurs and difference in signal strength is greater than the ratio of default handoff threshold in the measurement report of Serving cell S.Non-essential, default handoff threshold is 3db.
S200: read Serving cell and be switched to each co-frequency cell data, is switched to single co-frequency cell data according to Serving cell and Serving cell is switched to all homogeneous frequency adjacent areas data, obtains switch data.
To the process with frequency another one community, signal is called that co-frequency cell switches from a cell merge, if signal switching times between two co-frequency cells is more, show that between this Liang Ge community, the degree of association is tightr.Serving cell is switched to each co-frequency cell data and can obtains based on the monitoring of real time data, collection, such as, can realize Real-Time Monitoring, collection in existing base station, after acquisition Serving cell is switched to each co-frequency cell data, also just can aware service cell merge to all homogeneous frequency adjacent areas data, again Serving cell is switched to single co-frequency cell data afterwards and is switched to all homogeneous frequency adjacent areas data than upper Serving cell, obtain switch data.Wherein in an embodiment, we adopt switching proportion HOsi to carry out specific switch data, Hosi: Serving cell S cuts out application sum to cutting out application number/Serving cell S to homogeneous-frequency adjacent-domain N to all homogeneous-frequency adjacent-domains.
S300: be weighted described adjacent measurement data and described switch data, obtains coefficient correlation between co-frequency cell.
Here, adopt weighted calculation mode, comprehensive adjacent measurement data and switch data reflect the degree of association between community, obtain coefficient correlation between co-frequency cell.In weight computation process, weighted value can according to historical empirical data, experts database data acquisition.
S400: according to coefficient correlation between co-frequency cell, calculation plot PCI interference value.
Wherein in a specific embodiment, step S400 is specially:
By formula KPCI=COsi (M3R+M6R+M30R), calculation plot PCI interference value, in formula, KPCI is community PCI interference value, and Cosi is coefficient correlation between co-frequency cell, and M3R is community mod3 interference coefficient, M6R is community mod6 interference coefficient, and M30R is community mod30 interference coefficient;
As mod (PCI1,3), time=mod (PCI2,3), M3R value is 1, as mod (PCI1,6), time=mod (PCI2,6), M6R value is 0.8, as mod (PCI1,30), time=mod (PCI2,30), M30R value is 0.1.
S500: according to community PCI interference value, detects community PCI interference.
After accurately calculating acquisition community PCI interference value, accurately can detect community PCI interference.
Community of the present invention PCI interference detection method, read network foundation information, obtain adjacent measurement data, be switched to single co-frequency cell data according to Serving cell and Serving cell is switched to all homogeneous frequency adjacent areas data, obtain switch data, adjacent measurement data and switch data are weighted, obtain coefficient correlation between co-frequency cell, according to coefficient correlation between co-frequency cell, calculation plot PCI interference value, last according to community PCI interference value, PCI interference in community is detected.In whole process, comprehensive adjacent measurement data and switch data analyze the tightness degree of minizone, and adopt weighting process to calculate acquisition community PCI interference value, guarantee that PCI interference value calculates accurate, more tally with the actual situation, realize the accurate detection that community PCI is disturbed.
As shown in Figure 2, wherein in an embodiment, step S100 specifically comprises step:
S120: read network foundation information, wherein, described network foundation information comprises cell name, community longitude and latitude, azimuth, community, ECGI and neighboring BS information.
Network foundation information, the relevant data of preserving when can build according to historical empirical data or whole LTE network and Geographic mapping equipment obtain from collection.
S140: according to described network foundation information, measure Serving cell and peripheral cell, obtains the measurement report of peripheral cell and Serving cell.
According to network foundation information, some Serving cells can be located in huge LTE network, after this Serving cell, location, Serving cell and peripheral cell be measured, obtain the measurement report of peripheral cell and Serving cell.
S160: analysis peripheral cell exists the ratio that signal strength difference is greater than preset signals threshold value in the measurement report of Serving cell, obtains adjacent measurement data.
Common-frequency cell signal interaural correlation coefficient CORsi can be adopted to carry out specific adjacent measurement data, CORsi refers to frequently peripheral cell to co-frequency cell, Serving cell coefficient correlation, and namely peripheral cell I occurs and difference in signal strength is greater than the ratio of default handoff threshold in the measurement report of Serving cell S.Non-essential, default handoff threshold is 3db.
As shown in Figure 3, wherein in an embodiment, step S200 specifically comprises step:
S220: read Serving cell and be switched to each co-frequency cell number of times;
S240: be switched to each co-frequency cell number of times according to Serving cell, analyzes acquisition Serving cell and is switched to all co-frequency cells number of times;
S260: calculation services cell merge is switched to the ratio of all co-frequency cells number of times to single co-frequency cell number of times and Serving cell, obtains switch data.
As shown in Figure 4, wherein in an embodiment, step S300 specifically comprises step:
S320: obtain common-frequency cell signal interaural correlation coefficient CORsi according to described adjacent measurement data, obtain switching proportion Hosi according to described switch data;
S340: read and preset the weights Kco of co-frequency cell coefficient correlation and the weights Kho of switching proportion, wherein, Kho=1-Kco;
S360: according to formula COsi=CORsi*Kco+Hosi*Kho, obtain coefficient correlation between co-frequency cell, in formula, Cosi is coefficient correlation between co-frequency cell, and CORsi is common-frequency cell signal interaural correlation coefficient, and Hosi is switching proportion.
Just as described above, CORsi can by concrete for adjacent measurement data quantification, Hosi can by concrete for switch data quantification, weights Kco and Kho in weighted calculation according to the acquisition such as historical empirical data, expert data, can it should be noted that Kho=1-Kco, when lacking CORsi, Kco value is 0, Kho value is 1, and when lacking Hosi, Kho value is 0, Kco value is 1.
Wherein in an embodiment, described according to coefficient correlation between co-frequency cell, calculation plot PCI interference value is specially:
By formula KPCI=COsi (M3R+M6R+M30R), calculation plot PCI interference value, in formula, KPCI is community PCI interference value, and Cosi is coefficient correlation between co-frequency cell, and M3R is community mod3 interference coefficient, M6R is community mod6 interference coefficient, and M30R is community mod30 interference coefficient;
As mod (PCI1,3), time=mod (PCI2,3), M3R value is 1, as mod (PCI1,6), time=mod (PCI2,6), M6R value is 0.8, as mod (PCI1,30), time=mod (PCI2,30), M30R value is 0.1.
As shown in Figure 5, a kind of community PCI Interference Detection system, comprising:
Adjacent measurement data acquisition module 100, for reading network foundation information, and according to described network foundation information, obtains adjacent measurement data;
Switch data acquisition module 200, is switched to each co-frequency cell data for reading Serving cell, is switched to single co-frequency cell data and Serving cell is switched to all homogeneous frequency adjacent areas data according to Serving cell, obtains switch data;
Coefficient correlation acquisition module 300 between co-frequency cell, for being weighted described adjacent measurement data and described switch data, obtains coefficient correlation between co-frequency cell;
Computing module 400, for according to coefficient correlation between co-frequency cell, calculation plot PCI interference value;
Detection module 500, for according to community PCI interference value, detects community PCI interference.
Community of the present invention PCI Interference Detection system, adjacent measurement data acquisition module 100 reads network foundation information, obtain adjacent measurement data, switch data acquisition module 200 is switched to single co-frequency cell data according to Serving cell and Serving cell is switched to all homogeneous frequency adjacent areas data, obtain switch data, between co-frequency cell, coefficient correlation acquisition module 300 is weighted adjacent measurement data and switch data, obtain coefficient correlation between co-frequency cell, computing module 400 is according to coefficient correlation between co-frequency cell, calculation plot PCI interference value, detection module 500 is according to community PCI interference value, PCI interference in community is detected.In whole process, comprehensive adjacent measurement data and switch data analyze the tightness degree of minizone, and adopt weighting process to calculate acquisition community PCI interference value, guarantee that PCI interference value calculates accurate, more tally with the actual situation, realize the accurate detection that community PCI is disturbed.
As shown in Figure 6, wherein in an embodiment, described adjacent measurement data acquisition module 100 specifically comprises:
Back ground Information reading unit 120, for reading network foundation information, wherein, described network foundation information comprises cell name, community longitude and latitude, azimuth, community, ECGI and neighboring BS information;
Measurement report acquiring unit 140, for according to described network foundation information, measures Serving cell and peripheral cell, obtains the measurement report of peripheral cell and Serving cell;
, in the measurement report of Serving cell, there is for analyzing peripheral cell the ratio that signal strength difference is greater than preset signals threshold value, obtaining adjacent measurement data in adjacent measurement data acquiring unit 160.
As shown in Figure 7, wherein in an embodiment, described switch data acquisition module 200 specifically comprises:
Reading unit 220, is switched to each co-frequency cell number of times for reading Serving cell;
First analytic unit 240, for being switched to each co-frequency cell number of times according to Serving cell, analyzing acquisition Serving cell and is switched to all co-frequency cells number of times;
Ratio computing unit 260, is switched to the ratio of all co-frequency cells number of times to single co-frequency cell number of times and Serving cell for calculation services cell merge, obtain switch data.
As shown in Figure 8, wherein in an embodiment, between described co-frequency cell, coefficient correlation acquisition module 300 specifically comprises:
Second analytic unit 320, for obtaining common-frequency cell signal interaural correlation coefficient CORsi according to described adjacent measurement data, obtains switching proportion Hosi according to described switch data;
Preset value reading unit 340, for the weights Kho of the weights Kco and switching proportion that read default co-frequency cell coefficient correlation, wherein, Kho=1-Kco;
Calculation of correlation factor unit 360 between co-frequency cell, for according to COsi=CORsi*Kco+Hosi*Kho, obtains coefficient correlation between co-frequency cell, in formula, Cosi is coefficient correlation between co-frequency cell, and CORsi is common-frequency cell signal interaural correlation coefficient, and Hosi is switching proportion.
Wherein in an embodiment, described computing module 400 specifically for:
By formula KPCI=COsi (M3R+M6R+M30R), calculation plot PCI interference value, in formula, KPCI is community PCI interference value, and Cosi is coefficient correlation between co-frequency cell, and M3R is community mod3 interference coefficient, M6R is community mod6 interference coefficient, and M30R is community mod30 interference coefficient;
As mod (PCI1,3), time=mod (PCI2,3), M3R value is 1, as mod (PCI1,6), time=mod (PCI2,6), M6R value is 0.8, as mod (PCI1,30), time=mod (PCI2,30), M30R value is 0.1.
The above embodiment only have expressed several execution mode of the present invention, and it describes comparatively concrete and detailed, but can not therefore be construed as limiting the scope of the patent.It should be pointed out that for the person of ordinary skill of the art, without departing from the inventive concept of the premise, can also make some distortion and improvement, these all belong to protection scope of the present invention.Therefore, the protection range of patent of the present invention should be as the criterion with claims.

Claims (10)

1. a community PCI interference detection method, is characterized in that, comprises step:
Read network foundation information, and according to described network foundation information, obtain adjacent measurement data;
Read Serving cell and be switched to each co-frequency cell data, be switched to single co-frequency cell data according to Serving cell and Serving cell is switched to all homogeneous frequency adjacent areas data, obtain switch data;
Described adjacent measurement data and described switch data are weighted, obtain coefficient correlation between co-frequency cell;
According to coefficient correlation between co-frequency cell, calculation plot PCI interference value;
According to community PCI interference value, PCI interference in community is detected.
2. community according to claim 1 PCI interference detection method, is characterized in that, described reading network foundation information, and according to described network foundation information, obtains adjacent measurement data and specifically comprise step:
Read network foundation information, wherein, described network foundation information comprises cell name, community longitude and latitude, azimuth, community, ECGI and neighboring BS information;
According to described network foundation information, Serving cell and peripheral cell are measured, obtain the measurement report of peripheral cell and Serving cell;
There is the ratio that signal strength difference is greater than preset signals threshold value in analysis peripheral cell, obtain adjacent measurement data in the measurement report of Serving cell.
3. community according to claim 1 and 2 PCI interference detection method, it is characterized in that, described reading Serving cell is switched to each co-frequency cell data, be switched to single co-frequency cell data according to Serving cell and Serving cell is switched to all homogeneous frequency adjacent areas data, obtain switch data and specifically comprise step:
Read Serving cell and be switched to each co-frequency cell number of times;
Be switched to each co-frequency cell number of times according to Serving cell, analyze acquisition Serving cell and be switched to all co-frequency cells number of times;
Calculation services cell merge is switched to the ratio of all co-frequency cells number of times to single co-frequency cell number of times and Serving cell, obtains switch data.
4. community according to claim 1 and 2 PCI interference detection method, is characterized in that, is describedly weighted described adjacent measurement data and described switch data, obtains coefficient correlation between co-frequency cell and specifically comprises step:
Obtain common-frequency cell signal interaural correlation coefficient CORsi according to described adjacent measurement data, obtain switching proportion Hosi according to described switch data;
Read and preset the weights Kco of co-frequency cell coefficient correlation and the weights Kho of switching proportion, wherein, Kho=1-Kco;
According to formula COsi=CORsi*Kco+Hosi*Kho, obtain coefficient correlation between co-frequency cell, in formula, Cosi is coefficient correlation between co-frequency cell, and CORsi is common-frequency cell signal interaural correlation coefficient, and Hosi is switching proportion.
5. community according to claim 1 and 2 PCI interference detection method, is characterized in that, described according to coefficient correlation between co-frequency cell, and calculation plot PCI interference value is specially:
By formula KPCI=COsi (M3R+M6R+M30R), calculation plot PCI interference value, in formula, KPCI is community PCI interference value, and Cosi is coefficient correlation between co-frequency cell, and M3R is community mod3 interference coefficient, M6R is community mod6 interference coefficient, and M30R is community mod30 interference coefficient;
As mod (PCI1,3), time=mod (PCI2,3), M3R value is 1, as mod (PCI1,6), time=mod (PCI2,6), M6R value is 0.8, as mod (PCI1,30), time=mod (PCI2,30), M30R value is 0.1.
6. a community PCI Interference Detection system, is characterized in that, comprising:
Adjacent measurement data acquisition module, for reading network foundation information, and according to described network foundation information, obtains adjacent measurement data;
Switch data acquisition module, is switched to each co-frequency cell data for reading Serving cell, is switched to single co-frequency cell data and Serving cell is switched to all homogeneous frequency adjacent areas data according to Serving cell, obtains switch data;
Coefficient correlation acquisition module between co-frequency cell, for being weighted described adjacent measurement data and described switch data, obtains coefficient correlation between co-frequency cell;
Computing module, for according to coefficient correlation between co-frequency cell, calculation plot PCI interference value;
Detection module, for according to community PCI interference value, detects community PCI interference.
7. community according to claim 6 PCI Interference Detection system, is characterized in that, described adjacent measurement data acquisition module specifically comprises:
Back ground Information reading unit, for reading network foundation information, wherein, described network foundation information comprises cell name, community longitude and latitude, azimuth, community, ECGI and neighboring BS information;
Measurement report acquiring unit, for according to described network foundation information, measures Serving cell and peripheral cell, obtains the measurement report of peripheral cell and Serving cell;
, in the measurement report of Serving cell, there is for analyzing peripheral cell the ratio that signal strength difference is greater than preset signals threshold value, obtaining adjacent measurement data in adjacent measurement data acquiring unit.
8. the community PCI Interference Detection system according to claim 6 or 7, it is characterized in that, described switch data acquisition module specifically comprises:
Reading unit, is switched to each co-frequency cell number of times for reading Serving cell;
First analytic unit, for being switched to each co-frequency cell number of times according to Serving cell, analyzing acquisition Serving cell and is switched to all co-frequency cells number of times;
Ratio computing unit, is switched to the ratio of all co-frequency cells number of times to single co-frequency cell number of times and Serving cell for calculation services cell merge, obtain switch data.
9. the community PCI Interference Detection system according to claim 6 or 7, it is characterized in that, between described co-frequency cell, coefficient correlation acquisition module specifically comprises:
Second analytic unit, for obtaining common-frequency cell signal interaural correlation coefficient CORsi according to described adjacent measurement data, obtains switching proportion Hosi according to described switch data;
Preset value reading unit, for the weights Kho of the weights Kco and switching proportion that read default co-frequency cell coefficient correlation, wherein, Kho=1-Kco;
Calculation of correlation factor unit between co-frequency cell, for according to formula COsi=CORsi*Kco+Hosi*Kho, obtains coefficient correlation between co-frequency cell, in formula, Cosi is coefficient correlation between co-frequency cell, and CORsi is common-frequency cell signal interaural correlation coefficient, and Hosi is switching proportion.
10. the community PCI Interference Detection system according to claim 6 or 7, is characterized in that, described computing module specifically for:
By formula KPCI=COsi (M3R+M6R+M30R), calculation plot PCI interference value, in formula, KPCI is community PCI interference value, Cosi is coefficient correlation between co-frequency cell, and M3R is community mod3 interference coefficient, and M6R is community mod6 interference coefficient, M30R is community mod30 interference coefficient, and n is the quantity measuring community;
As mod (PCI1,3), time=mod (PCI2,3), M3R value is 1, as mod (PCI1,6), time=mod (PCI2,6), M6R value is 0.8, as mod (PCI1,30), time=mod (PCI2,30), M30R value is 0.1.
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CN105933933A (en) * 2016-06-27 2016-09-07 广东怡创科技股份有限公司 Method and apparatus for obtaining PCI (physical-layer Cell identity) total interference value on basis of same-frequency cell detection ratio
CN105933916A (en) * 2016-06-27 2016-09-07 广东怡创科技股份有限公司 Method and apparatus for obtaining same-frequency cell detection ratio on basis of MR (Magnetic Resonance) in LTE (Long Term Evolution) network
CN106211209A (en) * 2016-06-27 2016-12-07 广东怡创科技股份有限公司 The method and apparatus obtaining the total interference value of PCI based on co-frequency cell correlation coefficient
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