CN101917723B - Method and system for acquiring combined interference matrix of traffic channels - Google Patents
Method and system for acquiring combined interference matrix of traffic channels Download PDFInfo
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Abstract
The invention discloses a method and a system for acquiring a combined interference matrix of traffic channels, which is used for acquiring the combined interference matrix of traffic channels of a plurality of service cells in a mobile communication network. The method comprises the following steps of: (A) acquiring the interference matrix of the frequency sweep data of the traffic channels of the plurality of service cells; (B) acquiring the interference matrix of the measurement report of the traffic channels of the plurality of service cells; and (C) computing the combined interference matrix of the traffic channels of the plurality of service cells according to the interference matrix of the frequency sweep data of the traffic channels of the plurality of service cells and the interference matrix of the measurement report of the traffic channels of the plurality of service cells. Thus, the invention can acquire the combined interference matrix of the traffic channels and can realize the purpose of comprehensively and accurately showing the interfered conditions of the traffic channels of the service cells in the mobile communication network.
Description
Technical field
The present invention relates to the communications field, relate in particular to a kind of method and system thereof that obtains the combined interference matrix of Traffic Channel.
Background technology
For mobile communication system, frequency resource is precious resources all the time.Along with the development of traffic carrying capacity, the traffic density in urban compact zone constantly increases, and the frequency interferences problem is day by day serious.How to guarantee in the utilization ratio that improves frequency spectrum resource that network quality is the important topic of Mobile Network Operator and equipment vendor's research.
In GSM (Global System for Mobile communications, global system for mobile communications) network, the effect of frequency planning has directly affected network user's perceptibility.Be currently applied to GSM network plan optimization and mainly contain three kinds: based on the channeling technology of legacy cellular theory; Automatic Frequency Planning technology based on coverage prediction; Based on the Automatic Frequency Planning technology of measuring statistics.The first technology has been established the theoretical foundation of frequency planning.The second technology is used in present Planning Tool in a large number, but inaccurate due to electronic chart and propagation model, and can not truly reflect the distribution situation of user's traffic based on the prediction that covers, resulting frequency planning result can not farthest be avoided the interference for the user.The third technology is based on the automatic plan optimization that the actual test statistics data of network are carried out frequency, and to improve effect fine due to it, is most widely used in present real work.
In based on the Automatic Frequency Planning technology of measuring statistics, its core algorithm has three input parameters: available frequency resources, base station configuration parameter and interference matrix.Mainly described region area and the telephone traffic situation of actual all the potential interference impacts that will be subject in each residential quarter due to interference matrix, its accuracy has determined the Expected Results of frequency planning scheme.
Use the method that measurement report generates the interference matrix of reflection network interferences situation, can well characterize the disturbed condition of network integral body, but because its precision can only reach cell-level, can't reflect more accurate interference profile situation on the geographical position.Cause the frequency interference problem on the road surface to become a dim spot.This method reformation body and light local.
Be 200810072149.5 at application number, denomination of invention is in the only one China patent application of " based on the network optimization method of measurement report ", and a kind of network optimization method based on measurement report is provided.At first the method is extracted measurement report and is set up interference matrix; Calculate respectively the fitness of every kind of frequency allocation plan in the frequency allocation plan group according to interference matrix; Set up ratio with the fitness size and distribute, and carry out random search and select; Random progressive frequency is revised or frequency exchanges, and generates a new class frequency allocative decision; Recomputate the fitness of each frequency allocation plan in new frequency allocation plan group; Constantly repeat above-mentioned steps, until there is a kind of fitness of new frequency allocation plan to meet the demands; In last frequency allocation plan group, the frequency allocation plan of fitness maximum is the network allocation plan after existing network is optimized.The foundation of the method take the existing network measurement report that extracts as frequency optimization taken into full account the real area interference situation of existing network, makes through the network interferences after frequency optimization to reach minimum.But the method that provides in this patent application is to be based upon the interference matrix that obtains on measurement report, and it still can not obtain good accuracy, can not accurately know the communication quality of the Traffic Channel of Serving cell.
In summary, the technology of the interference matrix of the Traffic Channel of the Serving cell in existing obtaining communication network in actual use, obviously exists inconvenience and defective, so be necessary to be improved.
Summary of the invention
For above-mentioned defective, the object of the present invention is to provide a kind of method and system of obtaining the combined interference matrix of Traffic Channel, obtaining the combined interference matrix of Traffic Channel, realize characterizing comprehensively and accurately the situation about being disturbed of Traffic Channel of the Serving cell of mobile communications network.
To achieve these goals, the invention provides a kind of method of obtaining the combined interference matrix of Traffic Channel, for the combined interference matrix of the Traffic Channel of obtaining a plurality of Serving cells of mobile communications network, described method comprises:
A, obtain the interference matrix of frequency sweep data of the Traffic Channel of described a plurality of Serving cells;
B, obtain the interference matrix of measurement report of the Traffic Channel of described a plurality of Serving cells;
C, according to the interference matrix of the measurement report of the Traffic Channel of the interference matrix of the frequency sweep data of the Traffic Channel of described a plurality of Serving cells and described a plurality of Serving cells, calculate the combined interference matrix of the Traffic Channel of described a plurality of Serving cells.
According to the described method of obtaining the combined interference matrix of Traffic Channel, described steps A comprises:
The frequency sweep data of the Traffic Channel of A1, the described a plurality of Serving cells of collection;
A2, according to the frequency sweep data of the Traffic Channel of described a plurality of Serving cells, determine the main Serving cell of each the test frequency in the frequency sweep data of Traffic Channel of described a plurality of Serving cells, and the main coverage of the Traffic Channel of described main Serving cell;
A3, according to the main coverage of the Traffic Channel of described main Serving cell, determine to disturb the correlation of coverage of Traffic Channel of the Traffic Channel of other a plurality of interference Serving cells of Traffic Channel of described main Serving cell and described main Serving cell and the correlation of frequency;
A4, according to the correlation of the coverage of the Traffic Channel of described main Serving cell and the correlation of frequency, calculate the interference matrix of frequency sweep data of the Traffic Channel of described a plurality of Serving cells.
According to the described method of obtaining the combined interference matrix of Traffic Channel, described steps A 2 comprises:
A21, in the frequency sweep data of Traffic Channel of described each test frequency, when the layer value of the strongest 1 layer of Serving cell accesses threshold value more than or equal to layer value, the strongest described 1 layer of Serving cell is described main Serving cell, and signal to noise ratio belongs to the main coverage of the Traffic Channel of described main Serving cell less than or equal to the scope of all the strongest described 1 layer of Serving cell frequencies of 7.6dB; Perhaps,
A22, in the frequency sweep data of Traffic Channel of described each test frequency, when the layer value of all 1 layer of Serving cells accesses threshold value less than layer value, the strongest Serving cell is described main Serving cell, and signal to noise ratio belongs to the main coverage of the Traffic Channel of described main Serving cell less than or equal to the scope of all the strongest described Serving cell frequencies of 7.6dB.
According to the described method of obtaining the combined interference matrix of Traffic Channel, described steps A 3 comprises:
A31, utilize the field intensity of described main Serving cell and described interference Serving cell, calculate the relevance function of the Traffic Channel coverage of the Traffic Channel of described main Serving cell and described interference Serving cell;
A plurality of frequencies of A32, utilization and described main Serving cell and described interference Serving cell, the relevance function of the Traffic Channel of the described main Serving cell of calculating and the Traffic Channel frequency of described interference Serving cell.
According to the described method of obtaining the combined interference matrix of Traffic Channel, described in described steps A 31, the Cr computing formula of the relevance function of the Traffic Channel coverage of the Traffic Channel of main Serving cell and described interference Serving cell is:
0， (Rxlev_S-Rxlev_N＞T1)；
Cr(Rxlev_S，Rxlev_N)＝K1*(0＜Rxlev_S-Rxlev_N≤T1)+K2，
(0＜≤Rxlev_S-Rxlev_N≤T1)；
1， (Hn＜Rxlev_S-Rxlev_N＜0)；
Wherein, S represents described main Serving cell, and N represents described interference Serving cell; Rxlev_s-Rxlev_N≤Hn is the non-service range of main Serving cell, does not calculate; Hn is conventional switching, gravity treatment, biasing+lagged value; T1 value 12; K1 is slope; K2 is correction value; And
In described steps A 32, the computing formula of the frequency dependence function F r of the Traffic Channel of the Traffic Channel of described main Serving cell and described interference Serving cell comprises:
Traffic Channel frequency dependence function:
Fr (XT)=with frequency Traffic Channel number/main Serving cell Traffic Channel total number; The Traffic Channel number that refers to described main Serving cell and described interference Serving cell same frequency with frequency Traffic Channel number.
According to the described method of obtaining the combined interference matrix of Traffic Channel, described steps A 4 comprises:
A41, calculate test in all described frequency sweep data 1 to i sampling frequency interference coefficient and;
A41, utilize described interference coefficient and calculate the Traffic Channel of described main Serving cell and the interference coefficient of the Traffic Channel of described interference Serving cell, obtain the interference matrix of frequency sweep data of the Traffic Channel of described a plurality of Serving cells, computing formula is:
The relevance function of the Traffic Channel coverage of the Traffic Channel of the described main Serving cell of Cr (Relev_S, Rxlev_N) expression and described interference Serving cell wherein; The frequency dependence function of the Traffic Channel of the described main Serving cell of Fr (S, N) expression and the Traffic Channel of described interference Serving cell.
According to the described method of obtaining the combined interference matrix of Traffic Channel, described step C comprises:
In the interference matrix of the measurement report of the interference matrix of the frequency sweep data of the Traffic Channel of C1, the described a plurality of Serving cells of calculating and the Traffic Channel of described a plurality of Serving cells, the percentage of total interference that the interference matrix of the Traffic Channel of each Serving cell is shared, and sort according to the interference matrix of described percentage to the Traffic Channel of described each Serving cell;
C2, with the interference matrix sequence of the frequency sweep data of the Traffic Channel of described a plurality of Serving cells in a front and the most last M residential quarter as the correction object, utilize the Traffic Channel of described Serving cell to do average computation at the percentage of described two kinds of interference matrix, obtain the associating interference value of Traffic Channel; Described M adjusts according to the interference matrix of the Traffic Channel of a plurality of Serving cells of described frequency sweep data;
C3, the associating interference value of described Traffic Channel is replaced the interference value of the Traffic Channel of corresponding described Serving cell in the interference matrix of measurement report of Traffic Channel of described a plurality of Serving cells, formed the combined interference matrix of described Traffic Channel.
According to the described method of obtaining the combined interference matrix of Traffic Channel, in described step C2, the computing formula of described associating interference value is:
I_A_
Associating=I_
Measure_ total*Avg (P_A_
Measure, P_A_
Frequency sweep); Wherein, I_A_
AssociatingThe associating interference value that represents the Traffic Channel of described a plurality of Serving cells, I_
Measure_ total represents the interference total value of interference matrix of measurement report of the Traffic Channel of described a plurality of Serving cells; Avg (P_A_
Measure, P_A_
Frequency sweep) mean value of percentage in the interference matrix of measurement report of the interference matrix of frequency sweep data of Traffic Channel of the described a plurality of Serving cells of expression and the Traffic Channel of described a plurality of Serving cells.
In order to realize this another goal of the invention, the invention provides and a kind ofly realize that above-mentioned any one obtains the system of method of the combined interference matrix of Traffic Channel, for the combined interference matrix of the Traffic Channel of obtaining a plurality of Serving cells of mobile communications network, described system comprises:
The first interference matrix acquisition module is used for obtaining the interference matrix of frequency sweep data of the Traffic Channel of described a plurality of Serving cells;
The second interference matrix acquisition module is used for obtaining the interference matrix of measurement report of the Traffic Channel of described a plurality of Serving cells;
The combined interference matrix acquisition module, be used for the interference matrix according to the measurement report of the Traffic Channel of the interference matrix of the frequency sweep data of the Traffic Channel of described a plurality of Serving cells and described a plurality of Serving cells, calculate the combined interference matrix of the Traffic Channel of described a plurality of Serving cells.
According to described system, described the first interference matrix acquisition module comprises:
Gather submodule, for the frequency sweep data of the Traffic Channel that gathers described a plurality of Serving cells;
Main coverage is determined submodule, be used for the frequency sweep data according to the Traffic Channel of described a plurality of Serving cells, determine the main Serving cell of each the test frequency in the frequency sweep data of Traffic Channel of described a plurality of Serving cells, and the main coverage of the Traffic Channel of described main Serving cell;
Correlation is determined submodule, be used for the main coverage according to the Traffic Channel of described main Serving cell, the correlation of the coverage of the Traffic Channel of other a plurality of interference Serving cells of the Traffic Channel of the described main Serving cell of definite interference and the Traffic Channel of described main Serving cell and the correlation of frequency;
The interference matrix calculating sub module of frequency sweep data is used for according to the correlation of the coverage of the Traffic Channel of described main Serving cell and the correlation of frequency, calculates the interference matrix of frequency sweep data of the Traffic Channel of described a plurality of Serving cells.
Collect measured data with the Traffic Channel of the mobile communications network Serving cell of geography information by the high accuracy sweep generator in the present invention, and the interference matrix of the scan-data of the service based channel of setting up can reflect the disturbed condition of Traffic Channel on the road surface truly, exactly.The interference matrix of the Traffic Channel of setting up in conjunction with the measurement report data of service based channel statistics again calculates the combined interference matrix of the Traffic Channel that makes new advances.This method and the system that obtains the combined interference matrix of Traffic Channel, considered regional interior road surface test consider less than indoor covering, telephone traffic factor, also considered the consideration of traffic statistics data less than the actual conditions of outdoor road.Accomplished the entire and part of mobile communications network communication quality is taken into account, more fully reflected the disturbed condition of the Traffic Channel of service minizone in the mobile communications network zone, for the frequency optimization work of mobile communications network provides more effective data supporting.
Description of drawings
Fig. 1 is the system configuration schematic diagram of the combined interference matrix of the Traffic Channel of obtaining a plurality of Serving cells provided by the invention;
Fig. 2 is the structural representation of the first interference matrix acquisition module of system of the combined interference matrix of the Traffic Channel of obtaining a plurality of Serving cells provided by the invention.
Fig. 3 is the method flow diagram of the combined interference matrix of the Traffic Channel of obtaining a plurality of Serving cells provided by the invention;
Fig. 4 is the method flow diagram of interference matrix of the frequency sweep data of the Traffic Channel of obtaining a plurality of Serving cells that provides of enforcement of the present invention.
Embodiment
In order to make purpose of the present invention, technical scheme and advantage clearer, below in conjunction with drawings and Examples, the present invention is further elaborated.Should be appreciated that specific embodiment described herein only in order to explain the present invention, is not intended to limit the present invention.
Basic thought of the present invention is: gather the frequency sweep data of Traffic Channel of a plurality of Serving cells of mobile communications network by the high accuracy sweep generator, and these data are processed the interference matrix of the Traffic Channel frequency sweep data of obtaining described a plurality of Serving cells; Obtain on the other hand the service channel interference matrix of described a plurality of Serving cell measurement reports.At last, according to the interference matrix of the frequency sweep data of described Traffic Channel, and the interference matrix of the measurement report of described Traffic Channel calculates the combined interference matrix of disturbed condition of the Traffic Channel of a plurality of Serving cells of combined reaction.Realized the entire and part of the communication quality monitoring of the Traffic Channel of mobile communications network is taken into account, the disturbed condition of service inter-cell traffic channel in reflecting regional more fully is for the frequency optimization work of Traffic Channel provides more effective data supporting.
Referring to Fig. 1, the invention provides a kind of system 30 that realizes obtaining the combined interference matrix of Traffic Channel, be used for obtaining the combined interference matrix of the Traffic Channel of a plurality of Serving cells of mobile communications network, described system comprises:
The first interference matrix acquisition module 31 is used for obtaining the interference matrix of frequency sweep data of the Traffic Channel of described a plurality of Serving cells;
The second interference matrix acquisition module 32 is used for obtaining the interference matrix of measurement report of the Traffic Channel of described a plurality of Serving cells;
Combined interference matrix acquisition module 33, be used for the interference matrix according to the measurement report of the Traffic Channel of the interference matrix of the frequency sweep data of the Traffic Channel of described a plurality of Serving cells and described a plurality of Serving cells, calculate the combined interference matrix of the Traffic Channel of described a plurality of Serving cells.
Referring to Fig. 2, in one embodiment of the invention, described the first interference matrix acquisition module 31 comprises:
Gather submodule 311, for the frequency sweep data of the Traffic Channel that gathers described a plurality of Serving cells;
Main coverage is determined submodule 312, be used for the frequency sweep data according to the Traffic Channel of described a plurality of Serving cells, determine the main Serving cell of each the test frequency in the frequency sweep data of Traffic Channel of described a plurality of Serving cells, and the main coverage of the Traffic Channel of described main Serving cell;
Correlation is determined submodule 313, be used for the main coverage according to the Traffic Channel of described main Serving cell, the correlation of the coverage of the Traffic Channel of other a plurality of interference Serving cells of the Traffic Channel of the described main Serving cell of definite interference and the Traffic Channel of described main Serving cell and the correlation of frequency;
The interference matrix calculating sub module 314 of frequency sweep data is used for according to the correlation of the coverage of the Traffic Channel of described main Serving cell and the correlation of frequency, calculates the interference matrix of frequency sweep data of the Traffic Channel of described a plurality of Serving cells.
As shown in Figure 3, the invention provides a kind of method of obtaining the combined interference matrix of Traffic Channel, it utilizes the system 30 of Fig. 1 or the combined interference matrix that obtains Traffic Channel shown in Figure 2 to realize, for the combined interference matrix of the Traffic Channel of obtaining a plurality of Serving cells of mobile communications network, described method comprises:
In step S301, obtain the interference matrix of frequency sweep data of the Traffic Channel of described a plurality of Serving cells; In the present invention, the frequency sweep data that application the first interference matrix acquisition module 31 obtains the Traffic Channel of described a plurality of Serving cells generate the interference matrix that reflects the network interferences situation, can characterize preferably the disturbed condition of network part.This step S301 is realized by the first interference matrix acquisition module 31.
In step S302, obtain the interference matrix of measurement report of the Traffic Channel of described a plurality of Serving cells; In the present invention, use the second interference matrix acquisition module 32 and obtain the interference matrix that measurement report generates the service channel interference situation of a plurality of Serving cells described in the reflection network, can characterize preferably the disturbed condition of the Traffic Channel of network integral body.This step S302 is realized by the second interference matrix acquisition module 32.
In step S303, calculate the combined interference matrix of the Traffic Channel of described a plurality of Serving cells according to the interference matrix of the measurement report of the Traffic Channel of the interference matrix of the frequency sweep data of the Traffic Channel of described a plurality of Serving cells and described a plurality of Serving cells.In the present invention, calculate the combined interference matrix of described Traffic Channel by combined interference matrix acquisition module 33, not only utilize the interference matrix of the Traffic Channel measurement report of Serving cell, also utilized the situation of the communication network of the whole and local Traffic Channel of the interference matrix reflection communication network of Traffic Channel frequency sweep data of Serving cell.This step S303 is by combined interference matrix acquisition module 33.
In one embodiment of the invention, adopt all roads enterprising driving of high accuracy sweep generator in the mobile communication network optimization zone to carry test, the first interference matrix acquisition module 31 obtains the scan test data of Traffic Channel, and the scan test data that obtains is processed the interference matrix that obtains service based channel frequency sweep data.Combined interference matrix acquisition module 33 in conjunction with the second interference matrix acquisition module 32 various based on measurement report obtain business channel disturbance matrix, further calculate by the interference matrix that obtains Traffic Channel frequency sweep data based on the first interference matrix acquisition module 31 again, to revise the combined interference matrix of the Traffic Channel that obtains based on the service channel interference matrix of measurement report.
Referring to Fig. 2, in one embodiment of the invention, step S301 is further comprising the steps of:
In step S3011, gather the frequency sweep data of the Traffic Channel of described a plurality of Serving cells;
Gather the frequency sweep data that submodule 311 gathers the Traffic Channel of described a plurality of Serving cells; To adopt all roads enterprising driving of high-precision sweep generator in optimizing the zone to carry test on it is realized, consistent with the test request of routine, utilize sweep generator to compare conventionally test terminal more high-performance, more high-precision advantage, the data of surveying can more clearly represent network coverage situation, thereby draw the interference matrix of Traffic Channel more accurately.
In step S3012, frequency sweep data according to the Traffic Channel of described a plurality of Serving cells, determine the main Serving cell of each the test frequency in the frequency sweep data of Traffic Channel of described a plurality of Serving cells, and the main coverage of the Traffic Channel of described main Serving cell; Comprising two kinds of situations:
The first is that main coverage determines that submodule 312 is in the frequency sweep data of the Traffic Channel of described each test frequency, when the layer value of the strongest 1 layer of Serving cell accesses threshold value more than or equal to layer value, the strongest described 1 layer of Serving cell is described main Serving cell, and signal to noise ratio is determined the main coverage of the Traffic Channel that it belongs to described main Serving cell during less than or equal to the scope of all the strongest described 1 layer of Serving cell frequencies of 7.6dB; Perhaps,
The second is that main coverage determines that submodule 312 is in the frequency sweep data of described each test frequency, when the layer value of all 1 layer of Serving cells accesses threshold value less than layer value, the strongest Serving cell is described main Serving cell, and signal to noise ratio is determined the main coverage of the Traffic Channel that it belongs to described main Serving cell during less than or equal to the scope of all the strongest described Serving cell frequencies of 7.6dB.
In this step, utilize main coverage to determine that submodule 312 need to determine its main Serving cell for each test frequency, and the main coverage of each main Serving cell, purpose are to be each main Serving cell delineation computer capacity.In the present invention, at first main coverage determines that the layer of the communication network under 312 pairs of frequencies that detect of submodule judges, main coverage determines that submodule 312 is to its field intensity judgement again.Concrete the first situation is for the strongest 1 layer of Serving cell RSSI (layer value)＞=layerthr is when (layer is worth the access threshold value), and this Serving cell is main covering Serving cell.Then find out the 7.6dB that belongs to 1 layer of residential quarter with the frequency of all Serving cells of interior and RSSI＞=layerthr, the scope of these frequencies belongs to the main coverage of the Traffic Channel of this Serving cell, and the frequency of these Serving cells is all as calculating the impact point of the interference matrix of the Traffic Channel of Serving cell separately.
When the second situation was all 1 layer of Serving cell RSSI＜layerthr, the strongest Serving cell was main covering Serving cell; Find out the frequency with all interior residential quarters with the last 1 residential quarter gap 7.6dB, the scope of these frequencies belongs to the main coverage of this Serving cell again, and the frequency of these Serving cells is all as calculating the impact point of the interference matrix of the Traffic Channel of residential quarter separately.
In step S3013, according to the main coverage of the Traffic Channel of described main Serving cell, determine to disturb the correlation of coverage of Traffic Channel of the Traffic Channel of other a plurality of interference Serving cells of Traffic Channel of described main Serving cell and described main Serving cell and the correlation of frequency;
In one embodiment of the invention, correlation determines that submodule 313 utilizes the field intensity of described main Serving cell and described interference Serving cell, the relevance function of the Traffic Channel of the described main Serving cell of calculating and the Traffic Channel coverage of described interference Serving cell;
The Cr computing formula of the relevance function of the Traffic Channel coverage of the Traffic Channel of described main Serving cell and described interference Serving cell is:
0， (Rxlev_S-Rxlev_N＞T1)；
Cr(Rxlev_S，Rxlev_N)＝K1*(0＜Rxlev_S-Rxlev_N≤T1)+K2，
(0＜≤Rxlev_S-Rxlev_N≤T1)；
1， (Hn＜Rxlev_S-Rxlev_N＜0)；
Wherein, S represents described main Serving cell, and N represents described interference Serving cell; Rxlev_s-Rxlev_N≤Hn is the non-service range of main Serving cell, does not calculate; Hn is conventional switching, gravity treatment, biasing+lagged value; T1 value 12; K1 is slope; K2 is correction value; And
In yet another embodiment of the present invention, correlation determines that submodule 313 utilizes and a plurality of frequencies of described main Serving cell and described interference Serving cell, the relevance function of the Traffic Channel of the described main Serving cell of calculating and the Traffic Channel frequency of described interference Serving cell.
The computing formula of the frequency dependence function F r of the Traffic Channel of the Traffic Channel of described main Serving cell and described interference Serving cell comprises: TCH (Traffic Channel, Traffic Channel) frequency dependence function:
Fr (XT)=with frequency Traffic Channel number/main Serving cell Traffic Channel total number; The Traffic Channel number that refers to described main Serving cell and described interference Serving cell same frequency with frequency Traffic Channel number.
In step S3014, according to the correlation of the coverage of the Traffic Channel of described main Serving cell and the correlation of frequency, calculate the interference matrix of frequency sweep data of the Traffic Channel of described a plurality of Serving cells.
In one embodiment of the invention, its specific implementation process comprises: the interference coefficient that the interference matrix calculating sub module of frequency sweep data 314 is calculated 1 to i sampling frequency testing in all described frequency sweep data with;
The interference matrix calculating sub module 314 of frequency sweep data is utilized described interference coefficient and is calculated the interference coefficient of described main Serving cell and described interference Serving cell, obtains the interference matrix of described a plurality of Serving cell frequency sweep data, and computing formula is:
The relevance function of the coverage of the Traffic Channel of the Traffic Channel of the described main Serving cell of Cr (Relev_S, Rxlev_N) expression and described interference Serving cell wherein; The Traffic Channel of the described main Serving cell of Fr (S, N) expression and the Traffic Channel frequency dependence function of described interference Serving cell.
In the present invention, characterize between the two interference relationships with interference coefficient Ir_S_N_ ∑ between the Traffic Channel of the Traffic Channel of described main Serving cell and described interference Serving cell, 1 to i sampling point interference coefficient summation in all frequency sweep measured datas can calculate neighbor cell N to the interference coefficient of the Traffic Channel of Serving cell S.Interference matrix calculating sub module 314 by the frequency sweep data calculate can obtain one have following form the interference matrix of Traffic Channel, wherein, Cell_N represents Serving cell No. ID, the Ir_1_2_ ∑ represent between Cell_1 and Cell_2 two Serving cells the service channel interference coefficient, the same services residential quarter is noiseless, and use 0 represents.
| Cell_1 | Cell_2 | Cell_3 | Cell_4 | … | Cell_N | |
| Cell_1 | 0 | Ir_1_2_∑ | Ir_1_3_∑ | Ir_1_4_∑ | … | Ir_1_N_∑ |
| Cell_2 | Ir_2_1_∑ | 0 | Ir_2_3_∑ | Ir_2_4_∑ | … | Ir_2_N_∑ |
| Cell_3 | Ir_3_1_∑ | Ir_3_2_∑ | 0 | Ir_3_4_∑ | … | Ir_3_N_∑ |
| Cell_4 | Ir_4_1_∑ | Ir_4_2_∑ | Ir_4_3_∑ | 0 | … | Ir_4_N_∑ |
| ……… | …… | …… | …… | …… | 0 | |
| Cell_N | Ir_N_1_∑ | Ir_N_2_∑ | Ir_N_3_∑ | Ir_N_4_∑ | 0 |
The just citation form of description disturbance matrix that more than provides, the Traffic Channel number of the Serving cell that specifically comprises is determined by actual conditions.
In one embodiment of the invention, described step S303 comprises: in the interference matrix of the measurement report of the interference matrix of the frequency sweep data of the Traffic Channel of the combined interference matrix acquisition module 33 described a plurality of Serving cells of calculating and the Traffic Channel of described a plurality of Serving cells, the percentage of total interference that the interference matrix of the Traffic Channel of each Serving cell is shared, and the step that the interference matrix of the Traffic Channel of described each Serving cell is sorted according to described percentage; And
Combined interference matrix acquisition module 33 with the sequence of the interference matrix of the frequency sweep data of the Traffic Channel of described a plurality of Serving cells in a front and the most last M residential quarter as the correction object, utilize the Traffic Channel of described Serving cell to do average computation at the percentage of described two kinds of interference matrix, obtain the associating interference value of Traffic Channel; The step that described M adjusts according to the interference matrix of the Traffic Channel of a plurality of Serving cells of described frequency sweep data; And
Combined interference matrix acquisition module 33 forms the step of the combined interference matrix of described Traffic Channel with the interference value of the Traffic Channel of corresponding described Serving cell in the interference matrix of the measurement report of the Traffic Channel of the described a plurality of Serving cells of associating interference value replacement of described Traffic Channel.
Wherein, in one embodiment of the invention, the computing formula of described associating interference value is: I_A_
Associating=I_
Measure_ total*Avg (P_A_
Measure, P_A_
Frequency sweep); Wherein, I_A_
AssociatingThe associating interference value that represents the Traffic Channel of described a plurality of Serving cells, I_
Measure_ total represents the interference total value of interference matrix of measurement report of the Traffic Channel of described a plurality of Serving cells; Avg (P_A_
Measure, P_A_
Frequency sweep) mean value of percentage in the interference matrix of measurement report of the interference matrix of frequency sweep data of Traffic Channel of the described a plurality of Serving cells of expression and the Traffic Channel of described a plurality of Serving cells.
In the present invention, combined interference matrix acquisition module 33 utilizes the interference matrix of the frequency sweep data of service based channel that the interference matrix of the test report of service based channel is revised, concrete grammar comprises and calculates respectively the percentage (P_cell_ matrix-type) that two kinds of interference matrix each residential quarters account for total interference value, and arranged sequentially by from high to low.
Combined interference matrix acquisition module 33 can calculate the interference value of the Traffic Channel of each Serving cell according to the interference matrix of the frequency sweep data of the Traffic Channel of above-mentioned a plurality of Serving cells, as Ir_cell1=Ir_1_2_ ∑+Ir_1_3_ ∑+...+Ir_1_N_ ∑, the interference total value of the Traffic Channel of all Serving cells is Ir_total=Ir_cell1+Ir_cell2+...+Ir_celln, and then the interference matrix small area Cell1 that can calculate the frequency sweep data of service based channel accounts for the percentage P_cell1_ frequency sweep=Ir_cell1/Ir_total of total interference value.Combined interference matrix acquisition module 33 is adopted the percentage that each residential quarter in the interference matrix of the measurement report that can obtain the service based channel of using the same method accounts for total interference value.
Combined interference matrix acquisition module 33 for the interference matrix sequence of the frequency sweep data of service based channel in the most front and last M residential quarter as the correction object, M is a variable input parameter in realizing system, and value determines to utilize Serving cell according to the interference matrix table of the frequency sweep data of service based channel Traffic Channel is done the associating interference value of the Traffic Channel that average computation makes new advances at the percentage of two kinds of interference matrix.For example, in the situation that the numerous M values of Serving cell can get greatly, and in the situation that Serving cell is fewer, the M value can be got less.
Computing formula I_A_ at the associating interference value of Traffic Channel
Associating=I_
Measure_ total*Avg (P_A_
Measure, P_A_
Frequency sweep) in, I_A_
AssociatingThe associating interference value of the Traffic Channel of expression Serving cell, I_
Measure_ total represents the interference total value of interference matrix of the measurement report of service based channel.Avg (P_A_
Measure, P_A_
Frequency sweep) mean value of percentage in two kinds of interference matrix of expression Serving cell.Revised community associated interference value is replaced the interference value of the Traffic Channel of corresponding with service residential quarter in the interference matrix of measurement report of service based channel, formed the combined interference matrix of new Traffic Channel.After combined interference matrix acquisition module 33 was completed the calculating of combined interference matrix value of this Traffic Channel, this value can be used as the input value of automatic frequency division algorithm.
In sum, collect measured data with the Traffic Channel of the mobile communications network Serving cell of geography information by the high accuracy sweep generator in the present invention, and the interference matrix of the scan-data of the service based channel of setting up can reflect the disturbed condition of Traffic Channel on the road surface truly, exactly.The interference matrix of the Traffic Channel of setting up in conjunction with the measurement report data of service based channel statistics again calculates the combined interference matrix of the Traffic Channel that makes new advances.This method and the system that obtains the combined interference matrix of Traffic Channel, considered regional interior road surface test consider less than indoor covering, telephone traffic factor, also considered the consideration of traffic statistics data less than the actual conditions of outdoor road.Accomplished the entire and part of mobile communications network communication quality is taken into account, more fully reflected the disturbed condition of the Traffic Channel of service minizone in the mobile communications network zone, for the frequency optimization work of mobile communications network provides more effective data supporting.
Certainly; the present invention also can have other various embodiments; in the situation that do not deviate from spirit of the present invention and essence thereof; those of ordinary skill in the art work as can make according to the present invention various corresponding changes and distortion, but these corresponding changes and distortion all should belong to the protection range of the appended claim of the present invention.
Claims (7)
1. method of obtaining the combined interference matrix of Traffic Channel is used for obtaining the combined interference matrix of the Traffic Channel of a plurality of Serving cells of mobile communications network, it is characterized in that, described method comprises:
A, obtain the interference matrix of frequency sweep data of the Traffic Channel of described a plurality of Serving cells;
B, obtain the interference matrix of measurement report of the Traffic Channel of described a plurality of Serving cells;
C, according to the interference matrix of the measurement report of the Traffic Channel of the interference matrix of the frequency sweep data of the Traffic Channel of described a plurality of Serving cells and described a plurality of Serving cells, calculate the combined interference matrix of the Traffic Channel of described a plurality of Serving cells;
Described steps A comprises:
The frequency sweep data of the Traffic Channel of A1, the described a plurality of Serving cells of collection;
A2, according to the frequency sweep data of the Traffic Channel of described a plurality of Serving cells, determine the main Serving cell of each the test frequency in the frequency sweep data of Traffic Channel of described a plurality of Serving cells, and the main coverage of the Traffic Channel of described main Serving cell;
A3, according to the main coverage of the Traffic Channel of described main Serving cell, determine to disturb the correlation of coverage of Traffic Channel of the Traffic Channel of other a plurality of interference Serving cells of Traffic Channel of described main Serving cell and described main Serving cell and the correlation of frequency;
A4, according to the correlation of the coverage of the Traffic Channel of described main Serving cell and the correlation of frequency, calculate the interference matrix of frequency sweep data of the Traffic Channel of described a plurality of Serving cells;
Described step C comprises:
In the interference matrix of the measurement report of the interference matrix of the frequency sweep data of the Traffic Channel of C1, the described a plurality of Serving cells of calculating and the Traffic Channel of described a plurality of Serving cells, the percentage of total interference that the interference matrix of the Traffic Channel of each Serving cell is shared, and sort according to the interference matrix of described percentage to the Traffic Channel of described each Serving cell;
C2, with the interference matrix sequence of the frequency sweep data of the Traffic Channel of described a plurality of Serving cells in a front and the most last M residential quarter as the correction object, utilize the Traffic Channel of described Serving cell to do average computation at the percentage of described two kinds of interference matrix, obtain the associating interference value of Traffic Channel; Described M adjusts according to the interference matrix of the Traffic Channel of a plurality of Serving cells of described frequency sweep data;
C3, the associating interference value of described Traffic Channel is replaced the interference value of the Traffic Channel of corresponding described Serving cell in the interference matrix of measurement report of Traffic Channel of described a plurality of Serving cells, formed the combined interference matrix of described Traffic Channel.
2. the method for obtaining the combined interference matrix of Traffic Channel according to claim 1, is characterized in that, described steps A 2 comprises:
A21, in the frequency sweep data of Traffic Channel of described each test frequency, when the layer value of the strongest 1 layer of Serving cell accesses threshold value more than or equal to layer value, the strongest described 1 layer of Serving cell is described main Serving cell, and signal to noise ratio belongs to the main coverage of the Traffic Channel of described main Serving cell less than or equal to the scope of all the strongest described 1 layer of Serving cell frequencies of 7.6dB; Perhaps,
A22, in the frequency sweep data of Traffic Channel of described each test frequency, when the layer value of all 1 layer of Serving cells accesses threshold value less than layer value, the strongest Serving cell is described main Serving cell, and signal to noise ratio belongs to the main coverage of the Traffic Channel of described main Serving cell less than or equal to the scope of all the strongest described Serving cell frequencies of 7.6dB.
3. the method for obtaining the combined interference matrix of Traffic Channel according to claim 2, is characterized in that, described steps A 3 comprises:
A31, utilize the field intensity of described main Serving cell and described interference Serving cell, calculate the relevance function of the Traffic Channel coverage of the Traffic Channel of described main Serving cell and described interference Serving cell;
A plurality of frequencies of A32, utilization and described main Serving cell and described interference Serving cell, the relevance function of the Traffic Channel of the described main Serving cell of calculating and the Traffic Channel frequency of described interference Serving cell.
4. the method for obtaining the combined interference matrix of Traffic Channel according to claim 3, it is characterized in that, described in described steps A 31, the Cr computing formula of the relevance function of the Traffic Channel coverage of the Traffic Channel of main Serving cell and described interference Serving cell is:
0， (Rxlev_S-Rxlev_N＞T1)；
Cr(Rxlev_S，Rxlev_N)＝K1*(0＜Rxlev_S-Rxlev_N≤T1)+K2，
(0＜≤Rxlev_S-Rxlev_N≤T1)；
1， (Hn＜Rxlev_S-Rxlev_N＜0)；
Wherein, S represents described main Serving cell, and N represents described interference Serving cell; Rxlev_s-Rxlev_N≤Hn is the non-service range of main Serving cell, does not calculate; Hn is conventional switching, gravity treatment, biasing+lagged value; T1 value 12; K1 is slope; K2 is correction value; And
In described steps A 32, the computing formula of the frequency dependence function F r of the Traffic Channel of the Traffic Channel of described main Serving cell and described interference Serving cell comprises:
Traffic Channel frequency dependence function:
Fr (XT)=with frequency Traffic Channel number/main Serving cell Traffic Channel total number; The Traffic Channel number that refers to described main Serving cell and described interference Serving cell same frequency with frequency Traffic Channel number.
5. the method for obtaining the combined interference matrix of Traffic Channel according to claim 4, is characterized in that, described steps A 4 comprises:
A41, calculate test in all described frequency sweep data 1 to i sampling frequency interference coefficient and;
A41, utilize described interference coefficient and calculate the Traffic Channel of described main Serving cell and the interference coefficient of the Traffic Channel of described interference Serving cell, obtain the interference matrix of frequency sweep data of the Traffic Channel of described a plurality of Serving cells, computing formula is:
The relevance function of the Traffic Channel coverage of the Traffic Channel of the described main Serving cell of Cr (Relev_S, Rxlev_N) expression and described interference Serving cell wherein; The frequency dependence function of the Traffic Channel of the described main Serving cell of Fr (S, N) expression and the Traffic Channel of described interference Serving cell.
6. the method for obtaining the combined interference matrix of Traffic Channel according to claim 1, is characterized in that, in described step C2, the computing formula of described associating interference value is:
I_A_
Associating=I_
Measure_ total*Avg (P_A_
Measure, P_A_
Frequency sweep); Wherein, I_A_
AssociatingThe associating interference value that represents the Traffic Channel of described a plurality of Serving cells, I_
Measure_ total represents the interference total value of interference matrix of measurement report of the Traffic Channel of described a plurality of Serving cells; Avg (P_A_
Measure, P_A_
Frequency sweep) mean value of percentage in the interference matrix of measurement report of the interference matrix of frequency sweep data of Traffic Channel of the described a plurality of Serving cells of expression and the Traffic Channel of described a plurality of Serving cells.
7. realize that claim 1～6 any one obtains the system of method of the combined interference matrix of Traffic Channel for one kind, be used for obtaining the combined interference matrix of the Traffic Channel of a plurality of Serving cells of mobile communications network, it is characterized in that, described system comprises:
The first interference matrix acquisition module is used for obtaining the interference matrix of frequency sweep data of the Traffic Channel of described a plurality of Serving cells;
The second interference matrix acquisition module is used for obtaining the interference matrix of measurement report of the Traffic Channel of described a plurality of Serving cells;
The combined interference matrix acquisition module, be used for the interference matrix according to the measurement report of the Traffic Channel of the interference matrix of the frequency sweep data of the Traffic Channel of described a plurality of Serving cells and described a plurality of Serving cells, calculate the combined interference matrix of the Traffic Channel of described a plurality of Serving cells;
Described the first interference matrix acquisition module comprises:
Gather submodule, for the frequency sweep data of the Traffic Channel that gathers described a plurality of Serving cells;
Main coverage is determined submodule, be used for the frequency sweep data according to the Traffic Channel of described a plurality of Serving cells, determine the main Serving cell of each the test frequency in the frequency sweep data of Traffic Channel of described a plurality of Serving cells, and the main coverage of the Traffic Channel of described main Serving cell;
Correlation is determined submodule, be used for the main coverage according to the Traffic Channel of described main Serving cell, the correlation of the coverage of the Traffic Channel of other a plurality of interference Serving cells of the Traffic Channel of the described main Serving cell of definite interference and the Traffic Channel of described main Serving cell and the correlation of frequency;
The interference matrix calculating sub module of frequency sweep data is used for according to the correlation of the coverage of the Traffic Channel of described main Serving cell and the correlation of frequency, calculates the interference matrix of frequency sweep data of the Traffic Channel of described a plurality of Serving cells;
Described combined interference matrix acquisition module is used for calculating the interference matrix of measurement report of the Traffic Channel of the interference matrix of frequency sweep data of Traffic Channel of described a plurality of Serving cells and described a plurality of Serving cells, the percentage of total interference that the interference matrix of the Traffic Channel of each Serving cell is shared, and sort according to the interference matrix of described percentage to the Traffic Channel of described each Serving cell; With the interference matrix sequence of the frequency sweep data of the Traffic Channel of described a plurality of Serving cells in a front and the most last M residential quarter as the correction object, utilize the Traffic Channel of described Serving cell to do average computation at the percentage of described two kinds of interference matrix, obtain the associating interference value of Traffic Channel; Described M adjusts according to the interference matrix of the Traffic Channel of a plurality of Serving cells of described frequency sweep data; The associating interference value of described Traffic Channel is replaced the interference value of the Traffic Channel of corresponding described Serving cell in the interference matrix of measurement report of Traffic Channel of described a plurality of Serving cells, formed the combined interference matrix of described Traffic Channel.
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| CN101547449A (en) * | 2009-05-04 | 2009-09-30 | 中国移动通信集团浙江有限公司 | Frequency sweep and mobile phone measurement report-based method for automatic frequency optimization |
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