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CN101917724A - Method and system for obtaining combined interference matrixes of broadcast control channels - Google Patents

Method and system for obtaining combined interference matrixes of broadcast control channels Download PDF

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Publication number
CN101917724A
CN101917724A CN 201010241410 CN201010241410A CN101917724A CN 101917724 A CN101917724 A CN 101917724A CN 201010241410 CN201010241410 CN 201010241410 CN 201010241410 A CN201010241410 A CN 201010241410A CN 101917724 A CN101917724 A CN 101917724A
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broadcast control
control channel
interference
control channels
frequency
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CN101917724B (en
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宋伟亮
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SHENZHEN KEHONG COMMUNICATIONS CO Ltd
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SHENZHEN KEHONG COMMUNICATIONS CO Ltd
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Abstract

The invention discloses a method and a system for obtaining combined interference matrixes of broadcast control channels, which are used for obtaining the combined interference matrixes of the broadcast control channels of a plurality of serving cells in a mobile communication network, and the method comprises the following steps: A. obtaining interference matrixes of sweep frequency data of the broadcast control channels of a plurality of serving cells; B. obtaining interference matrixes of measurement reports of the broadcast control channels of a plurality of serving cells; and C. calculating the combined interference matrixes of the broadcast control channels of a plurality of serving cells according to the interference matrixes of the sweep frequency data of the broadcast control channels of a plurality of serving cells and the interference matrixes of the measurement reports of the broadcast control channels of a plurality of serving cells. Therefore, the combined interference matrixes of the broadcast control channels can be obtained, thus representing the interfered condition of the broadcast control channels of the serving cells in the mobile communication network completely and accurately.

Description

Method and system for acquiring combined interference matrix of broadcast control channel
Technical Field
The present invention relates to the field of communications, and in particular, to a method and system for acquiring a joint interference matrix of a broadcast control channel.
Background
For mobile communication systems, frequency resources are always a precious resource. With the development of traffic, the traffic density of urban dense areas is continuously increased, and the problem of frequency interference is increasingly serious. How to guarantee network quality while improving the utilization efficiency of spectrum resources is an important issue for mobile network operators and equipment vendors to study. In a GSM (Global System for Mobile communications) network, the effect of frequency planning directly affects the perceptibility of network users. Currently, there are three main types of frequency planning optimization applied to GSM networks: frequency reuse technology based on traditional cellular theory; automatic frequency planning techniques based on coverage prediction; automatic frequency planning techniques based on measurement statistics. The first technique lays the theoretical foundation for frequency planning. The second technique is largely used in the current planning tools, but because the electronic map and the propagation model are inaccurate, and the distribution situation of the user telephone traffic cannot be truly reflected based on the prediction of coverage, the obtained frequency planning result cannot avoid the interference to the user to the greatest extent. The third technique is to perform automatic planning and optimization of frequency based on statistical data of actual network tests, and because the improvement effect is good, the third technique is most widely applied in actual work at present.
In the automatic frequency planning technology based on measurement statistics, the core algorithm has three input parameters: available frequency resources, base station configuration parameters and interference matrices. Since the interference matrix mainly describes the area and traffic situation of the area that each cell will actually be affected by all potential interference, its accuracy determines the expected effect of the frequency planning scheme.
The method for generating the interference matrix reflecting the network interference condition by using the measurement report can well represent the overall interference condition of the network, but the accuracy of the method can only reach the cell level and cannot reflect more accurate interference distribution condition on the geographical position. The problem of frequency point interference on the road surface is a dark point. This method is heavy and light and local.
In a chinese patent application with the application number of 200810072149.5 entitled "network frequency optimization method based on measurement report", a network frequency optimization method based on measurement report is provided. Firstly, extracting a measurement report and establishing an interference matrix; respectively calculating the fitness of each frequency allocation scheme in the frequency allocation scheme group according to the interference matrix; establishing proportional distribution according to the fitness and carrying out random search selection; randomly modifying or interchanging frequency points in a progressive way to generate a new group of frequency allocation schemes; recalculating the fitness of each frequency allocation scheme in the new frequency allocation scheme group; continuously repeating the steps until the fitness of a new frequency allocation scheme meets the requirement; and the frequency allocation scheme with the maximum fitness in the final frequency allocation scheme group is the network frequency allocation scheme optimized in the current network. The method takes the extracted measurement report of the current network as the basis of frequency optimization, fully considers the real cell interference situation of the current network, and enables the network interference after the frequency optimization to be minimum.
The BCCH (broadcast Information Channel) is an Information Channel for transmitting Information by Broadcasting. From the base station to the mobile station, a point-to-multipoint unidirectional control channel for broadcasting various types of information to the mobile station, including information necessary for the mobile station to register in the system. The method provided in the above patent application can establish an interference matrix for obtaining the broadcast control channel on the measurement report, but it still cannot obtain good accuracy, and cannot accurately obtain the communication quality of the broadcast control channel of the serving cell.
In summary, the conventional technique for acquiring the interference matrix of the broadcast control channel of the serving cell in the communication network has disadvantages and drawbacks in practical use, so it is necessary to improve the technique.
Disclosure of Invention
In view of the foregoing drawbacks, an object of the present invention is to provide a method and a system for obtaining a joint interference matrix of a broadcast control channel, so as to obtain the joint interference matrix of the broadcast control channel, and implement a comprehensive and accurate representation of an interfered condition of the broadcast control channel of a serving cell of a mobile communication network.
In order to achieve the above object, the present invention provides a method for acquiring a joint interference matrix of broadcast control channels, which is used for acquiring a joint interference matrix of broadcast control channels of a plurality of serving cells in a mobile communication network, and the method comprises:
A. obtaining interference matrixes of frequency sweep data of broadcast control channels of the plurality of service cells;
B. obtaining an interference matrix of measurement reports of broadcast control channels of the plurality of serving cells;
C. and calculating a joint interference matrix of the broadcast control channels of the plurality of serving cells according to the interference matrix of the sweep frequency data of the broadcast control channels of the plurality of serving cells and the interference matrix of the measurement report of the broadcast control channels of the plurality of serving cells.
According to the method for acquiring the joint interference matrix of the broadcast control channel, the step a comprises:
a1, collecting sweep frequency data of broadcast control channels of the plurality of service cells;
a2, determining a main service cell of each test frequency point in the sweep frequency data of the broadcast control channels of the multiple service cells and a main coverage range of the broadcast control channel of the main service cell according to the sweep frequency data of the broadcast control channels of the multiple service cells;
a3, determining the correlation between the broadcast control channels of other interference service cells interfering with the broadcast control channel of the main service cell and the coverage range of the broadcast control channel of the main service cell and the correlation between the broadcast control channels of other interference service cells interfering with the broadcast control channel of the main service cell according to the main coverage range of the broadcast control channel of the main service cell;
a4, calculating the interference matrix of the sweep frequency data of the broadcast control channel of the plurality of service cells according to the correlation of the coverage area and the correlation of the frequency of the broadcast control channel of the main service cell.
According to the method for acquiring the joint interference matrix of the broadcast control channel, the step a2 includes:
a21, in the sweep frequency data of the broadcast control channel of each test frequency point, when the tier value of the strongest tier-1 service cell is greater than or equal to the tier value access threshold value, the strongest tier-1 service cell is the main service cell, and the range of all frequency points of the strongest tier-1 service cell, of which the signal-to-noise ratio is less than or equal to 7.6dB, belongs to the main coverage range of the broadcast control channel of the main service cell; or,
a22, in the sweep frequency data of the broadcast control channel of each test frequency point, when the tier values of all the tier-1 service cells are less than the tier access threshold value, the strongest service cell is the main service cell, and the range of all the strongest service cell frequency points with the signal-to-noise ratio less than or equal to 7.6dB belongs to the main coverage range of the broadcast control channel of the main service cell.
According to the method for acquiring the joint interference matrix of the broadcast control channel, the step a3 includes:
a31, calculating a correlation function of the broadcast control channel of the main service cell and the broadcast control channel coverage of the interference service cell by using the field strengths of the main service cell and the interference service cell;
a32, calculating a correlation function between the broadcast control channel of the main service cell and the broadcast control channel frequency of the interference service cell by using a plurality of frequency points of the main service cell and the interference service cell.
According to the method for obtaining the joint interference matrix of the broadcast control channel, the Cr calculation formula of the correlation function between the broadcast control channel of the primary serving cell and the broadcast control channel coverage of the interfering serving cell in step a31 is as follows:
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 the primary serving cell and N represents the interfering serving cell; hn which is not more than Rxlev _ s-Rxlev _ N is the non-service range of the main service cell and is not calculated; hn is the conventional handover, reselection, bias + hysteresis value; t1 value 12; k1 is the slope; k2 is a correction value; and
in step a32, the formula for calculating the frequency correlation function Fr between the broadcast control channel of the primary serving cell and the broadcast control channel of the interfering serving cell includes:
fr (xb) ═ 1, (the broadcast control channel of the primary serving cell is co-frequency with the broadcast control channel of the interfering serving cell);
fr (xb) ═ 0, (the broadcast control channel of the primary serving cell is not co-frequency with the broadcast control channel of the interfering serving cell).
According to the method for acquiring the joint interference matrix of the broadcast control channel, the step a4 includes:
a41, calculating the sum of interference coefficients of 1 to i sampling frequency points tested in all the sweep frequency data;
a41, obtaining an interference matrix of the sweep frequency data of the broadcast control channels of the multiple serving cells by using the interference coefficients and calculating the interference coefficients of the broadcast control channel of the main serving cell and the broadcast control channel of the interfering serving cell, wherein the calculation formula is as follows:
<math><mrow><mi>Ir</mi><mo>_</mo><mi>S</mi><mo>_</mo><mi>N</mi><mo>_</mo><mi>&Sigma;</mi><mo>=</mo><msubsup><mi>&Sigma;</mi><mrow><mi>i</mi><mo>=</mo><mn>1</mn></mrow><mi>n</mi></msubsup><mi>Cr</mi><mrow><mo>(</mo><mi>Relve</mi><mo>_</mo><mi>S</mi><mo>,</mo><mi>Rxlev</mi><mo>_</mo><mi>N</mi><mo>)</mo></mrow><mo>*</mo><mi>Fr</mi><mrow><mo>(</mo><mi>S</mi><mo>,</mo><mi>N</mi><mo>)</mo></mrow><mo>;</mo></mrow></math>
wherein Cr (Relev _ S, Rxlev _ N) represents a correlation function of the broadcast control channel of the primary serving cell and the broadcast control channel coverage of the interfering serving cell; fr (S, N) represents a frequency correlation function of the broadcast control channel of the primary serving cell and the broadcast control channel of the interfering serving cell.
According to the method for acquiring the joint interference matrix of the broadcast control channel, the step C includes:
c1, calculating the percentage of the total interference occupied by the interference matrix of the broadcast control channel of each serving cell in the interference matrices of the sweep frequency data of the broadcast control channels of the plurality of serving cells and the interference matrices of the measurement reports of the broadcast control channels of the plurality of serving cells, and sorting the interference matrices of the broadcast control channels of each serving cell according to the percentage;
c2, sequencing the interference matrixes of the sweep frequency data of the broadcast control channels of the plurality of service cells at the top and the last M cells as correction objects, and performing average calculation by using the percentages of the broadcast control channels of the service cells in the two interference matrixes to obtain a joint interference value of the broadcast control channels; the M adjusts the interference matrixes of the broadcast control channels of the plurality of service cells according to the sweep frequency data;
and C3, replacing the interference value of the broadcast control channel corresponding to the broadcast control channel of the serving cell in the interference matrix of the measurement report of the broadcast control channels of the plurality of serving cells with the joint interference value of the broadcast control channel to form a joint interference matrix of the broadcast control channel.
According to the method for obtaining the joint interference matrix of the broadcast control channel, in the step C2, the calculation formula of the joint interference value is:
I_A_association=I_Measuring_total*Avg(P_A_Measuring,P_A_Frequency sweep) (ii) a Wherein, I _ A _ \AssociationA joint interference value, I _, representing the broadcast control channels of the plurality of serving cellsMeasuringTotal represents an interference total value of an interference matrix of measurement reports of broadcast control channels of the plurality of serving cells; avg (P _ A _Measuring,P_A_Frequency sweep) An average of a percentage of an interference matrix representing swept frequency data of broadcast control channels of the plurality of serving cells and an interference matrix of measurement reports of broadcast control channels of the plurality of serving cells.
To achieve another object of the present invention, the present invention provides a system for implementing any one of the above methods for obtaining a joint interference matrix of broadcast control channels, the system being used for obtaining the joint interference matrix of broadcast control channels of multiple serving cells in a mobile communication network, and the system comprising:
a first interference matrix obtaining module, configured to obtain an interference matrix of frequency sweep data of broadcast control channels of the multiple serving cells;
a second interference matrix obtaining module, configured to obtain an interference matrix of a measurement report of a broadcast control channel of the multiple serving cells;
and the joint interference matrix acquisition module is used for calculating the joint interference matrixes of the broadcast control channels of the multiple service cells according to the interference matrixes of the sweep frequency data of the broadcast control channels of the multiple service cells and the interference matrixes of the measurement reports of the broadcast control channels of the multiple service cells.
According to the system, the first interference matrix obtaining module includes:
the acquisition submodule is used for acquiring sweep frequency data of the broadcast control channels of the plurality of service cells;
the main coverage area determining submodule is used for determining a main service cell of each test frequency point in the frequency sweep data of the broadcast control channels of the plurality of service cells and a main coverage area of the broadcast control channel of the main service cell according to the frequency sweep data of the broadcast control channels of the plurality of service cells;
a correlation determination submodule, configured to determine, according to a primary coverage area of the broadcast control channel of the primary serving cell, correlation between the broadcast control channels of other multiple interfering serving cells that interfere with the broadcast control channel of the primary serving cell and coverage areas and frequency correlations of the broadcast control channels of the primary serving cell;
and the interference matrix calculation submodule of the frequency sweep data is used for calculating the interference matrix of the frequency sweep data of the broadcast control channels of the plurality of service cells according to the correlation of the coverage area and the correlation of the frequency of the broadcast control channel of the main service cell.
The invention collects the measured data of the broadcast control channel of the mobile communication network service cell with the geographic information through the high-precision sweep generator, and the established interference matrix based on the scanned data of the broadcast control channel can truly and accurately reflect the interference condition of the broadcast control channel on the road surface. And calculating a new combined interference matrix of the broadcast control channel by combining the interference matrix of the broadcast control channel which is established based on the measurement report data statistics of the broadcast control channel. The method and the system for acquiring the combined interference matrix of the broadcast control channel consider the factors of indoor coverage and telephone traffic which cannot be considered in road surface test in an area, and also consider the actual situation of an outdoor road which cannot be considered in telephone traffic data. The method and the device have the advantages that the whole and local consideration to the communication quality of the mobile communication network is realized, the interference condition of the broadcast control channel between the service cells in the mobile communication network area is reflected more comprehensively, and more effective data support is provided for the frequency optimization work of the mobile communication network.
Drawings
Fig. 1 is a schematic diagram of a system architecture for obtaining a joint interference matrix of broadcast control channels of multiple serving cells according to the present invention;
fig. 2 is a schematic structural diagram of a first interference matrix acquisition module of a system for acquiring joint interference matrices of broadcast control channels of multiple serving cells according to the present invention;
fig. 3 is a flowchart of a method for obtaining a joint interference matrix of broadcast control channels of multiple serving cells according to the present invention;
fig. 4 is a flowchart of a method for acquiring an interference matrix of swept frequency data of a broadcast control channel of multiple serving cells according to one embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The basic idea of the invention is: collecting sweep frequency data of broadcast control channels of a plurality of service cells of a mobile communication network through a high-precision sweep frequency instrument, and processing the data to obtain interference matrixes of the sweep frequency data of the broadcast control channels of the plurality of service cells; another aspect obtains a broadcast control channel interference matrix for the plurality of serving cell measurement reports. And finally, calculating a joint interference matrix which comprehensively reflects the interference conditions of the broadcast control channels of a plurality of service cells according to the interference matrix of the sweep frequency data of the broadcast control channel and the interference matrix of the measurement report of the broadcast control channel. The method realizes the overall and local consideration of the communication quality monitoring of the broadcast control channel of the mobile communication network, more comprehensively reflects the interference condition of the broadcast control channel among the service cells in the region, and provides more effective data support for the frequency optimization work of the broadcast control channel.
Referring to fig. 1, the present invention provides a system 30 for obtaining a joint interference matrix of broadcast control channels, for obtaining a joint interference matrix of broadcast control channels of multiple serving cells in a mobile communication network, the system comprising:
a first interference matrix obtaining module 31, configured to obtain an interference matrix of frequency sweep data of broadcast control channels of the multiple serving cells;
a second interference matrix obtaining module 32, configured to obtain an interference matrix of a measurement report of a broadcast control channel of the multiple serving cells;
a joint interference matrix obtaining module 33, configured to calculate joint interference matrices of the broadcast control channels of the multiple serving cells according to the interference matrices of the frequency sweep data of the broadcast control channels of the multiple serving cells and the interference matrices of the measurement reports of the broadcast control channels of the multiple serving cells.
Referring to fig. 2, in an embodiment of the present invention, the first interference matrix obtaining module 31 includes:
the acquisition submodule 311 is configured to acquire frequency sweep data of the broadcast control channels of the multiple serving cells;
a main coverage determining submodule 312, configured to determine, according to the frequency sweep data of the broadcast control channels of the multiple serving cells, a main serving cell of each test frequency point in the frequency sweep data of the broadcast control channels of the multiple serving cells and a main coverage of the broadcast control channel of the main serving cell;
a correlation determination sub-module 313, configured to determine, according to a primary coverage of the broadcast control channel of the primary serving cell, a correlation between the broadcast control channels of other multiple interfering serving cells that interfere with the broadcast control channel of the primary serving cell and a coverage of the broadcast control channel of the primary serving cell, and a correlation between frequencies;
and the interference matrix calculation sub-module 314 of the frequency sweep data is configured to calculate the interference matrix of the frequency sweep data of the broadcast control channels of the multiple serving cells according to the correlation of the coverage area and the correlation of the frequency of the broadcast control channel of the main serving cell.
As shown in fig. 3, the present invention provides a method for acquiring a joint interference matrix of a broadcast control channel, which is implemented by using the system 30 for acquiring a joint interference matrix of a broadcast control channel shown in fig. 1 or fig. 2, for acquiring a joint interference matrix of broadcast control channels of multiple serving cells in a mobile communication network, the method comprising:
in step S301, obtaining an interference matrix of frequency sweep data of broadcast control channels of the multiple serving cells; in the invention, the first interference matrix acquisition module 31 is used for acquiring the frequency sweep data of the broadcast control channels of the plurality of service cells to generate the interference matrix reflecting the network interference condition, so that the local interference condition of the network can be well represented. This step S301 is implemented by the first interference matrix obtaining module 31.
In step S302, obtaining an interference matrix of measurement reports of broadcast control channels of the plurality of serving cells; in the invention, the second interference matrix acquisition module 32 is used for acquiring the measurement report to generate the interference matrix reflecting the interference situation of the broadcast control channels of the plurality of service cells in the network, so that the interference situation of the broadcast control channels of the whole network can be well represented. This step S302 is implemented by the second interference matrix obtaining module 32.
In step S303, a joint interference matrix of the broadcast control channels of the multiple serving cells is calculated according to the interference matrix of the frequency sweep data of the broadcast control channels of the multiple serving cells and the interference matrix of the measurement report of the broadcast control channels of the multiple serving cells. In the present invention, the joint interference matrix of the broadcast control channel is calculated by the joint interference matrix obtaining module 33, and not only the interference matrix of the broadcast control channel measurement report of the serving cell is utilized, but also the interference matrix of the broadcast control channel sweep data of the serving cell is utilized to reflect the conditions of the communication network of the whole and local broadcast control channels. In step S303, the joint interference matrix obtaining module 33.
In an embodiment of the present invention, a high-precision frequency scanner is used to perform an on-vehicle test on all roads in an optimized area of a mobile communication network, and the first interference matrix acquisition module 31 acquires scanning test data of a broadcast control channel and processes the acquired scanning test data to obtain an interference matrix based on the scanning data of the broadcast control channel. The joint interference matrix obtaining module 33 combines various service channel interference matrices obtained based on the measurement report by the second interference matrix obtaining module 32, and further calculates an interference matrix based on the broadcast control channel frequency sweep data obtained by the first interference matrix obtaining module 31, and corrects the broadcast control channel interference matrix based on the measurement report to obtain a joint interference matrix of the broadcast control channel.
Referring to fig. 2, in one embodiment of the present invention, step S301 further includes the steps of:
in step S3011, collecting frequency sweep data of broadcast control channels of the multiple serving cells;
the collecting submodule 311 collects the sweep frequency data of the broadcast control channels of the plurality of serving cells; the method can be realized by adopting a high-precision sweep generator to carry out vehicle-mounted tests on all roads in an optimized area, the vehicle-mounted test requirements are consistent with those of the conventional test, and the measured data can more clearly show the network coverage condition by utilizing the advantages of higher performance and higher precision of the sweep generator compared with the conventional test terminal, so that a more precise interference matrix of the broadcast control channel is obtained.
In step S3012, determining a main serving cell of each test frequency point in the sweep data of the broadcast control channels of the multiple serving cells and a main coverage area of the broadcast control channel of the main serving cell according to the sweep data of the broadcast control channels of the multiple serving cells; two situations are included:
the first is that the main coverage determining sub-module 312 determines, in the sweep data of the broadcast control channel of each test frequency point, when the tier value of the strongest tier-1 serving cell is greater than or equal to the tier value access threshold value, the strongest tier-1 serving cell is the main serving cell, and when the signal-to-noise ratio is less than or equal to the range of all frequency points of the strongest tier-1 serving cell of 7.6dB, the main coverage of the broadcast control channel of the main serving cell is determined; or,
the second is that the main coverage determining sub-module 312 determines, in the sweep data of each test frequency point, that the strongest serving cell is the main serving cell when the tier values of all the tier-1 serving cells are smaller than the tier access threshold value, and determines that the strongest serving cell belongs to the main coverage of the broadcast control channel of the main serving cell when the snr is smaller than or equal to the range of all the strongest serving cell frequency points of 7.6 dB.
In this step, the primary coverage determining submodule 312 needs to determine the primary serving cell and the primary coverage of each primary serving cell for each frequency point, so as to define a calculation range for each primary serving cell. In the present invention, the main coverage determining submodule 312 first determines the layer of the communication network to which the detected frequency point belongs, and the main coverage determining submodule 312 determines the field strength of the communication network again. In a first specific case, when the strongest layer 1 serving cell RSSI (layer entry threshold) is layer entry hr, the serving cell is the primary coverage serving cell. And then finding out frequency points of all service cells which belong to the layer 1 cell within 7.6dB and have RSSI ═ layerthr, wherein the range of the frequency points belongs to the main coverage range of the broadcast control channel of the service cell, and the frequency points of the service cells are all used as target points for calculating the interference matrixes of the broadcast control channels of the respective service cells.
The second case is that when all the layer 1 service cells RSSI < layerthr, the strongest service cell is the main coverage service cell; and finding out the frequency points of all the cells within 7.6dB of the difference with the 1 strong cell, wherein the ranges of the frequency points belong to the main coverage range of the service cell, and the frequency points of the service cells are all used as target points for calculating the interference matrix of the broadcast control channel of each cell.
In step S3013, determining correlation between broadcast control channels of other interfering cells that interfere with the broadcast control channel of the primary serving cell and coverage and frequency correlation of the broadcast control channel of the primary serving cell, based on a primary coverage of the broadcast control channel of the primary serving cell;
in an embodiment of the present invention, the correlation determination sub-module 313 calculates a correlation function between the broadcast control channel of the main serving cell and the broadcast control channel coverage of the interfering serving cell, using the field strengths of the main serving cell and the interfering serving cell;
the Cr calculation formula of the correlation function of the broadcast control channel of the primary serving cell and the broadcast control channel coverage of the interfering 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 the primary serving cell and N represents the interfering serving cell; hn which is not more than Rxlev _ s-Rxlev _ N is the non-service range of the main service cell and is not calculated; hn is the conventional handover, reselection, bias + hysteresis value; t1 value 12; k1 is the slope; k2 is a correction value; and
in another embodiment of the present invention, the correlation determination sub-module 313 calculates a correlation function between the broadcast control channel of the main serving cell and the broadcast control channel frequency of the interfering serving cell by using a plurality of frequency points of the main serving cell and the interfering serving cell.
The formula for calculating the frequency correlation function Fr of the broadcast control channel of the primary serving cell and the broadcast control channel of the interfering serving cell includes:
fr (xb) ═ 1, (the broadcast control channel of the primary serving cell is co-frequency with the broadcast control channel of the interfering serving cell);
fr (xb) ═ 0, (the broadcast control channel of the primary serving cell is not co-frequency with the broadcast control channel of the interfering serving cell).
In step S3014, an interference matrix of the sweep data of the broadcast control channel of the plurality of serving cells is calculated based on the correlation between the coverage areas and the correlation between the frequencies of the broadcast control channel of the main serving cell.
In one embodiment of the present invention, the implementation process includes: the interference matrix calculation submodule 314 of the frequency sweep data calculates the sum of the interference coefficients of 1 to i sampling frequency points tested in all the frequency sweep data;
the interference matrix calculation sub-module 314 of the frequency sweep data obtains the interference matrix of the frequency sweep data of the multiple serving cells by using the interference coefficient and calculating the interference coefficient of the main serving cell and the interference serving cell, and the calculation formula is as follows:wherein Cr (Relev _ S, Rxlev _ N) represents a correlation function of a coverage of a broadcast control channel of the primary serving cell and a broadcast control channel of the interfering serving cell; fr (S, N) represents a broadcast control channel frequency correlation function of the primary serving cell' S broadcast control channel with the interfering serving cell.
In the invention, the interference relationship between the broadcast control channel of the main service cell and the broadcast control channel of the interference service cell is represented by using the interference coefficient Ir _ S _ N _ Sigma between the broadcast control channel of the main service cell and the broadcast control channel of the interference service cell, and the interference coefficient of the broadcast control channel of the service cell S of the adjacent cell N can be calculated by summing the interference coefficients of 1 to i sampling points in all the sweep measured data. The interference matrix of the broadcast control channel with the following format can be obtained by the interference matrix calculation sub-module 314 of the sweep data through calculation, wherein Cell _ N represents the serving Cell ID number, Ir _1_2_ Σ represents the broadcast control channel interference coefficient between two serving cells, Cell _1 and Cell _2, and the interference of the same serving Cell is represented by 0.
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 above is given only for describing the basic form of the interference matrix, and the number of broadcast control channels of the specifically included serving cell is determined by the actual situation.
In one embodiment of the present invention, the step S303 includes: calculating the percentage of the total interference occupied by the interference matrix of the broadcast control channel of each serving cell in the interference matrices of the sweep-frequency data of the broadcast control channels of the plurality of serving cells and the interference matrices of the measurement reports of the broadcast control channels of the plurality of serving cells by the joint interference matrix acquisition module 33, and sorting the interference matrices of the broadcast control channels of each serving cell according to the percentage; and
the joint interference matrix obtaining module 33 ranks the interference matrices of the sweep-frequency data of the broadcast control channels of the multiple serving cells in the top and last M cells as correction objects, and performs average calculation by using the percentages of the broadcast control channels of the serving cells in the two interference matrices to obtain a joint interference value of the broadcast control channel; the M adjusts the interference matrix of the broadcast control channel of a plurality of service cells according to the sweep frequency data; and
and a step of forming a joint interference matrix of the broadcast control channel by replacing the joint interference value of the broadcast control channel with the interference value of the broadcast control channel corresponding to the serving cell in the interference matrix of the measurement report of the broadcast control channels of the plurality of serving cells by the joint interference matrix obtaining module 33.
In an embodiment of the present invention, the calculation formula of the joint interference value is: i _ A _Association=I_Measuring_total*Avg(P_A_Measuring,P_A_Frequency sweep) (ii) a Wherein, I _ A _ \AssociationA joint interference value, I _, representing the broadcast control channels of the plurality of serving cellsMeasuringTotal represents an interference total value of an interference matrix of measurement reports of broadcast control channels of the plurality of serving cells; avg (P _ A _Measuring,P_A_Frequency sweep) An average of a percentage of an interference matrix representing swept frequency data of broadcast control channels of the plurality of serving cells and an interference matrix of measurement reports of broadcast control channels of the plurality of serving cells.
In the present invention, the joint interference matrix obtaining module 33 corrects the interference matrix of the test report based on the broadcast control channel by using the interference matrix based on the sweep data of the broadcast control channel, and the specific method includes calculating the percentage (P _ cell _ matrix type) of each cell of the two interference matrices in the total interference value, and arranging them in the order from high to low.
The joint interference matrix obtaining module 33 may calculate an interference value of the broadcast control channel of each serving Cell according to the interference matrix of the frequency sweep data of the broadcast control channels of the multiple serving cells, for example, the total interference value of the broadcast control channels of all serving cells is Ir _ total which is Ir _ Cell1+ Ir _ Cell2+ · Ir _ Cell + Ir _ Cell, and may further calculate a percentage P _ Cell1_ frequency sweep which is a percentage of the Cell1 in the interference matrix based on the frequency sweep data of the broadcast control channel to the total interference value, Ir _ Cell1/Ir _ total. The joint interference matrix obtaining module 33 may obtain the percentage of each cell in the interference matrix based on the measurement report of the broadcast control channel to the total interference value by the same method.
The joint interference matrix obtaining module 33 takes M cells, which are variable input parameters in the implementation system, as correction objects for ordering the interference matrix based on the frequency sweep data of the broadcast control channel at the top and at the last, and takes values to determine the percentage of the broadcast control channel of the serving cell in the two interference matrices to be used for averaging to calculate the joint interference value of the new broadcast control channel according to the interference matrix table based on the frequency sweep data of the broadcast control channel. For example, the value of M may be larger when there are many serving cells, and smaller when there are few serving cells.
Calculation of joint interference value at broadcast control channel formula I _ a _Association=I_Measuring_total*Avg(P_A_Measuring Measurement of,P_A_Frequency sweep) In, I _ A _ \AssociationJoint interference value, I _, representing the broadcast control channel of a serving cellMeasuringTotal denotes an interference total value of an interference matrix based on a measurement report of the broadcast control channel. Avg (P _ A _Measuring,P_A_Frequency sweep) The average of the percentages in the two interference matrices representing the serving cell. Replacing the corrected cell joint interference value with the corresponding service in the interference matrix of the measurement report based on the broadcast control channelAnd forming a new combined interference matrix of the broadcast control channels according to the interference values of the broadcast control channels of the serving cell. After the joint interference matrix obtaining module 33 completes the calculation of the joint interference matrix value of the broadcast control channel, the value can be used as an input value of the automatic frequency division algorithm.
In summary, in the invention, the measured data of the broadcast control channel of the mobile communication network service cell with the geographic information is acquired by the high-precision sweep generator, and the established interference matrix based on the scanned data of the broadcast control channel can truly and accurately reflect the interference condition of the broadcast control channel on the road surface. And calculating a new combined interference matrix of the broadcast control channel by combining the interference matrix of the broadcast control channel which is established based on the measurement report data statistics of the broadcast control channel. The method and the system for acquiring the combined interference matrix of the broadcast control channel consider the factors of indoor coverage and telephone traffic which cannot be considered in road surface test in an area, and also consider the actual situation of an outdoor road which cannot be considered in telephone traffic data. The method and the device have the advantages that the whole and local consideration to the communication quality of the mobile communication network is realized, the interference condition of the broadcast control channel between the service cells in the mobile communication network area is reflected more comprehensively, and more effective data support is provided for the frequency optimization work of the mobile communication network.
The present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof, and it should be understood that various changes and modifications can be effected therein by one skilled in the art without departing from the spirit and scope of the invention as defined in the appended claims.

Claims (10)

1. A method for obtaining a joint interference matrix of broadcast control channels, the method being used for obtaining the joint interference matrix of broadcast control channels of a plurality of serving cells in a mobile communication network, the method comprising:
A. obtaining interference matrixes of frequency sweep data of broadcast control channels of the plurality of service cells;
B. obtaining an interference matrix of measurement reports of broadcast control channels of the plurality of serving cells;
C. and calculating a joint interference matrix of the broadcast control channels of the plurality of serving cells according to the interference matrix of the sweep frequency data of the broadcast control channels of the plurality of serving cells and the interference matrix of the measurement report of the broadcast control channels of the plurality of serving cells.
2. The method of claim 1, wherein the step a comprises:
a1, collecting sweep frequency data of broadcast control channels of the plurality of service cells;
a2, determining a main service cell of each test frequency point in the sweep frequency data of the broadcast control channels of the multiple service cells and a main coverage range of the broadcast control channel of the main service cell according to the sweep frequency data of the broadcast control channels of the multiple service cells;
a3, determining the correlation between the broadcast control channels of other interference service cells interfering with the broadcast control channel of the main service cell and the coverage range of the broadcast control channel of the main service cell and the correlation between the broadcast control channels of other interference service cells interfering with the broadcast control channel of the main service cell according to the main coverage range of the broadcast control channel of the main service cell;
a4, calculating the interference matrix of the sweep frequency data of the broadcast control channel of the plurality of service cells according to the correlation of the coverage area and the correlation of the frequency of the broadcast control channel of the main service cell.
3. The method of claim 2, wherein the step a2 comprises:
a21, in the sweep frequency data of the broadcast control channel of each test frequency point, when the tier value of the strongest tier-1 service cell is greater than or equal to the tier value access threshold value, the strongest tier-1 service cell is the main service cell, and the range of all frequency points of the strongest tier-1 service cell, of which the signal-to-noise ratio is less than or equal to 7.6dB, belongs to the main coverage range of the broadcast control channel of the main service cell; or,
a22, in the sweep frequency data of the broadcast control channel of each test frequency point, when the tier values of all the tier-1 service cells are less than the tier access threshold value, the strongest service cell is the main service cell, and the range of all the strongest service cell frequency points with the signal-to-noise ratio less than or equal to 7.6dB belongs to the main coverage range of the broadcast control channel of the main service cell.
4. The method of claim 3, wherein the step A3 comprises:
a31, calculating a correlation function of the broadcast control channel of the main service cell and the broadcast control channel coverage of the interference service cell by using the field strengths of the main service cell and the interference service cell;
a32, calculating a correlation function between the broadcast control channel of the main service cell and the broadcast control channel frequency of the interference service cell by using a plurality of frequency points of the main service cell and the interference service cell.
5. The method of claim 4, wherein the Cr calculation formula of the correlation function between the broadcast control channel of the primary serving cell and the broadcast control channel coverage of the interfering serving cell in step a31 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 the primary serving cell and N represents the interfering serving cell; hn which is not more than Rxlev _ s-Rxlev _ N is the non-service range of the main service cell and is not calculated; hn is the conventional handover, reselection, bias + hysteresis value; t1 value 12; k1 is the slope; k2 is a correction value; and
in step a32, the formula for calculating the frequency correlation function Fr between the broadcast control channel of the primary serving cell and the broadcast control channel of the interfering serving cell includes:
fr (xb) ═ 1, (the broadcast control channel of the primary serving cell is co-frequency with the broadcast control channel of the interfering serving cell);
fr (xb) ═ 0, (the broadcast control channel of the primary serving cell is not co-frequency with the broadcast control channel of the interfering serving cell).
6. The method of claim 5, wherein the step A4 includes:
a41, calculating the sum of interference coefficients of 1 to i sampling frequency points tested in all the sweep frequency data;
a41, obtaining an interference matrix of the sweep frequency data of the broadcast control channels of the multiple serving cells by using the interference coefficients and calculating the interference coefficients of the broadcast control channel of the main serving cell and the broadcast control channel of the interfering serving cell, wherein the calculation formula is as follows:
<math><mrow><mi>Ir</mi><mo>_</mo><mi>S</mi><mo>_</mo><mi>N</mi><mo>_</mo><mi>&Sigma;</mi><mo>=</mo><msubsup><mi>&Sigma;</mi><mrow><mi>i</mi><mo>=</mo><mn>1</mn></mrow><mi>n</mi></msubsup><mi>Cr</mi><mrow><mo>(</mo><mi>Relev</mi><mo>_</mo><mi>S</mi><mo>,</mo><mi>Rxlev</mi><mo>_</mo><mi>N</mi><mo>)</mo></mrow><mo>*</mo><mi>Fr</mi><mrow><mo>(</mo><mi>S</mi><mo>,</mo><mi>N</mi><mo>)</mo></mrow><mo>;</mo></mrow></math>
wherein Cr (Relev _ S, Rxlev _ N) represents a correlation function of the broadcast control channel of the primary serving cell and the broadcast control channel coverage of the interfering serving cell; fr (S, N) represents a frequency correlation function of the broadcast control channel of the primary serving cell and the broadcast control channel of the interfering serving cell.
7. The method of claim 6, wherein the step C comprises:
c1, calculating the percentage of the total interference occupied by the interference matrix of the broadcast control channel of each serving cell in the interference matrices of the sweep frequency data of the broadcast control channels of the plurality of serving cells and the interference matrices of the measurement reports of the broadcast control channels of the plurality of serving cells, and sorting the interference matrices of the broadcast control channels of each serving cell according to the percentage;
c2, sequencing the interference matrixes of the sweep frequency data of the broadcast control channels of the plurality of service cells at the top and the last M cells as correction objects, and performing average calculation by using the percentages of the broadcast control channels of the service cells in the two interference matrixes to obtain a joint interference value of the broadcast control channels; the M adjusts the interference matrixes of the broadcast control channels of the plurality of service cells according to the sweep frequency data;
and C3, replacing the interference value of the broadcast control channel corresponding to the broadcast control channel of the serving cell in the interference matrix of the measurement report of the broadcast control channels of the plurality of serving cells with the joint interference value of the broadcast control channel to form a joint interference matrix of the broadcast control channel.
8. The method of claim 7, wherein in the step C2, the joint interference value is calculated by:
I_A_ association=I_Measuring_total*Avg(P_A_Measuring,P_A_Frequency sweep) (ii) a Wherein, I _ A _ \AssociationA joint interference value, I _, representing the broadcast control channels of the plurality of serving cellsMeasuringTotal represents an interference total value of an interference matrix of measurement reports of broadcast control channels of the plurality of serving cells; avg (P _ A _Measuring,P_A_Frequency sweep) Interference matrix representing swept frequency data of broadcast control channels of the plurality of cells and broadcast control channels of the plurality of cellsThe average of the percentages in the interference matrix of the measurement report of the trace.
9. A system for implementing the method for acquiring the joint interference matrix of the broadcast control channel according to any one of claims 1 to 8, for acquiring the joint interference matrix of the broadcast control channel of multiple serving cells in a mobile communication network, the system comprising:
a first interference matrix obtaining module, configured to obtain an interference matrix of frequency sweep data of broadcast control channels of the multiple serving cells;
a second interference matrix obtaining module, configured to obtain an interference matrix of a measurement report of a broadcast control channel of the multiple serving cells;
and the joint interference matrix acquisition module is used for calculating the joint interference matrixes of the broadcast control channels of the multiple service cells according to the interference matrixes of the sweep frequency data of the broadcast control channels of the multiple service cells and the interference matrixes of the measurement reports of the broadcast control channels of the multiple service cells.
10. The system of claim 9, wherein the first interference matrix acquisition module comprises:
the acquisition submodule is used for acquiring sweep frequency data of the broadcast control channels of the plurality of service cells;
the main coverage area determining submodule is used for determining a main service cell of each test frequency point in the frequency sweep data of the broadcast control channels of the plurality of service cells and a main coverage area of the broadcast control channel of the main service cell according to the frequency sweep data of the broadcast control channels of the plurality of service cells;
a correlation determination submodule, configured to determine, according to a primary coverage area of the broadcast control channel of the primary serving cell, correlation between the broadcast control channels of other multiple interfering serving cells that interfere with the broadcast control channel of the primary serving cell and coverage areas and frequency correlations of the broadcast control channels of the primary serving cell;
and the interference matrix calculation submodule of the frequency sweep data is used for calculating the interference matrix of the frequency sweep data of the broadcast control channels of the plurality of service cells according to the correlation of the coverage area and the correlation of the frequency of the broadcast control channel of the main service cell.
CN 201010241410 2010-07-30 2010-07-30 Method and system for obtaining combined interference matrixes of broadcast control channels Expired - Fee Related CN101917724B (en)

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CN102158868A (en) * 2011-03-09 2011-08-17 深圳市科虹通信有限公司 Method and system for acquiring interference matrix based on sweep frequency
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