CN105898767B - Co-frequency cell related coefficient preparation method and device based on LTE network - Google Patents
Co-frequency cell related coefficient preparation method and device based on LTE network Download PDFInfo
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Abstract
The present invention relates to a kind of co-frequency cell related coefficient preparation method and device based on LTE network.The method includes the steps: co-frequency cell MR detection ratio is obtained according to MR data；Main service road coverage cell is determined according to the frequency sweep data of road；According to the sub-sampling point of the total sampled point and the first RSRP difference of main service channel coverage cell within a preset range, co-frequency cell Road Detection ratio is obtained；Maximum value in co-frequency cell MR detection ratio and co-frequency cell Road Detection ratio is determined as co-frequency cell detection ratio；Application sum is cut out to all homogeneous-frequency adjacent-domains according to cut out application number and serving cell of the serving cell to homogeneous-frequency adjacent-domain in preset range, acquisition cuts out ratio；According to co-frequency cell detection ratio and ratio is cut out, obtains co-frequency cell related coefficient.The present invention can make up for it MR and lack number, accurately reflect the correlation of road cell, and the accurate relationship for embodying edge cell.
Description
Technical Field
The present invention relates to the LTE (Long Term Evolution, Long Term Evolution of the universal mobile telecommunications technology) network technology field, and in particular, to a co-frequency cell correlation coefficient obtaining method and a co-frequency cell correlation coefficient obtaining apparatus based on an LTE network.
Background
LTE is a long term evolution of The UMTS (Universal Mobile Telecommunications System) technology standard established by The 3rd Generation Partnership Project (3 GPP) organization. The LTE system introduces key technologies such as OFDM (Orthogonal Frequency division multiplexing) and MIMO (Multi-Input and Multi-Output), which significantly increases the spectrum efficiency and data transmission rate; various bandwidth allocation is supported, and the global mainstream 2G (second generation mobile phone communication technical specification)/3G (second generation mobile phone communication technical specification) frequency band and some newly-added frequency bands are supported, so that the frequency spectrum allocation is more flexible, and the system capacity and the coverage are also obviously improved. The LTE system network architecture is more flat and simplified, and the complexity of network nodes and the system is reduced, so that the system time delay is reduced, and the network deployment and maintenance cost is also reduced.
In determining whether the LTE cell is over-covered or overlapped, the calculation is generally performed by using a correlation coefficient (i.e., the MR detection ratio of the intra-frequency cell). For example, in the use of the public standard definition of the china mobile group corporation, the definition of the over-coverage cell is: the correlation coefficient between the cell and 8 cells is more than 1%, and the cell is an over-coverage cell. For another example, the published standards of Guangdong province define that, in use, the over-coverage cell is defined as: the correlation coefficient of 8 cells except the X times of the distance between the cell and the self station is more than 1 percent, and the cell is an over-coverage cell; where X defaults to 1.6. The key to determining whether a cell is an over-coverage cell or an overlapping coverage cell is therefore to determine the correlation coefficient.
The current correlation coefficient is generally determined by the following expression: the correlation coefficient is the number of measurement reports (i.e. the number of sampling points) in the serving cell scell detection co-frequency neighbor cell ncell 6 dB/the total number of measurement reports of serving cell detection. That is, for each MR (measurement report), if RSRP of scell (Reference Signal Receiving Power) -ncell is less than or equal to 6dB, the number of measurement reports in the correlation coefficient formula is increased by 1. And when the association coefficient is greater than 1%, defining the co-frequency adjacent cell to be associated with the serving cell, wherein the co-frequency adjacent cell can be measured by the serving cell and possibly generates interference to the serving cell.
The above method for determining the correlation coefficient has the following disadvantages:
(1) data integrity issues: the calculation of the correlation coefficient (namely the MR detection proportion of the same-frequency cells) is completely derived from MR acquisition, but the current MR shortage condition generally exists, and the correlation between the cells is lost due to the MR shortage problem;
(2) road cell correlation problem: the MR reporting interval is usually set to 5.12 seconds, and most of the mobile terminals on the road are in a high-speed state, especially on an expressway. Due to the fact that the MR sampling time interval is large, the speed of the mobile terminal is high, and the correlation coefficient obtained according to MR data cannot accurately reflect the correlation of the road cell;
(3) failure to accurately reflect edge cell relationships: MR acquisition mostly originates from non-roaming users, i.e. data acquired in the same cell, and fails to accurately reflect the accurate relationship between the edges of the two cells.
Disclosure of Invention
Therefore, in order to solve the above problems, it is necessary to provide a method and a device for obtaining correlation coefficients of co-frequency cells based on an LTE network, which can make up for MR missing, accurately reflect the correlation of road cells, and accurately reflect the relationship of edge cells.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows:
a method for obtaining correlation coefficients of co-frequency cells based on an LTE network comprises the following steps:
acquiring the MR detection proportion of the cells with the same frequency according to the MR data;
determining a main service road coverage cell according to the sweep frequency data of the road, wherein the main service road coverage cell is a cell with the strongest signal strength in the initial sampling point of the sweep frequency data;
acquiring a channel detection proportion of a same-frequency cell according to a total sampling point of the main service channel coverage cell and a sub-sampling point of a first RSRP difference value within a preset range, wherein the first RSRP difference value is the difference value of the RSRP of the main service channel coverage cell and the RSRP of a same-frequency neighboring cell of the main service channel coverage cell;
determining the maximum value in the MR detection proportion and the road detection proportion of the same-frequency cell as the detection proportion of the same-frequency cell;
obtaining a cutting-out proportion according to the cutting-out application number of the service cell to the adjacent regions with the same frequency in a preset range and the total cutting-out application number of the service cell to all the adjacent regions with the same frequency;
and obtaining the correlation coefficient of the same-frequency cell according to the detection proportion and the cut-out proportion of the same-frequency cell.
An obtaining device of co-frequency cell correlation coefficient based on LTE network includes:
the same-frequency cell MR detection proportion obtaining module is used for obtaining the same-frequency cell MR detection proportion according to the MR data;
the system comprises a main service road coverage cell obtaining module, a main service road coverage cell obtaining module and a main service road coverage cell obtaining module, wherein the main service road coverage cell is used for determining the main service road coverage cell according to the sweep frequency data of the road, and the main service road coverage cell is the cell with the strongest signal strength in the initial sampling point of the sweep frequency data;
an intra-frequency cell road detection proportion obtaining module, configured to obtain an intra-frequency cell road detection proportion according to a total sampling point of the main service channel coverage cell and a sub-sampling point of a first RSRP difference value within a preset range, where the first RSRP difference value is a difference value between an RSRP of the main service channel coverage cell and an RSRP of an intra-frequency neighboring cell of the main service channel coverage cell;
a same-frequency cell detection ratio obtaining module, configured to determine a maximum value of the MR detection ratio and the road detection ratio of the same-frequency cell as a same-frequency cell detection ratio;
the system comprises a cut-out proportion obtaining module, a cut-out proportion obtaining module and a judging module, wherein the cut-out proportion obtaining module is used for obtaining a cut-out proportion according to the cut-out application number of a service cell to the adjacent regions with the same frequency in a preset range and the total cut-out application number of the service cell to all the adjacent regions with the same frequency;
and the same-frequency cell correlation coefficient obtaining module is used for obtaining the same-frequency cell correlation coefficient according to the same-frequency cell detection proportion and the cut-out proportion.
Compared with the prior art, the method and the device for obtaining the correlation coefficient of the same-frequency cell based on the LTE network have the following advantages that:
(1) the problem of MR acquisition loss is compensated: according to the method, the same-frequency cell MR detection proportion (MR data interference model) is obtained according to MR data, the same-frequency cell road detection proportion (road interference model) is obtained according to the sweep frequency data of the road, and then the same-frequency cell detection proportion is determined by combining through an MAX algorithm, so that the defect of an important road interference model caused by the defect of MR is made up;
(2) establishing a road interference model: a road interference model is established through the sweep frequency data of the road, the sweep frequency data provides 2S (two times of standard deviation) precision, meanwhile, the method is more suitable for the actual network environment of the mobile terminal, the correlation of road cells can be accurately reflected, and powerful guarantee is provided for the improvement of the road quality;
(3) accurately embodying the relationship of the edge cells: the moving direction of mobile terminals in two cells can be directly reflected through switching data (switching-out proportion), and the relationship between the edge positions of the cells is closely reflected.
Drawings
Fig. 1 is a schematic flow chart of an embodiment of a co-frequency cell correlation coefficient obtaining method based on an LTE network according to the present invention;
fig. 2 is a schematic structural diagram of an embodiment of a co-frequency cell correlation coefficient obtaining apparatus based on an LTE network according to the present invention;
FIG. 3 is a schematic structural diagram of an embodiment of an intra-frequency cell MR detection ratio acquisition module according to the present invention;
fig. 4 is a schematic structural diagram of a primary service channel coverage cell acquisition module according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a same-frequency cell road detection proportion obtaining module according to a first embodiment of the present invention;
fig. 6 is a schematic structural diagram of a second embodiment of a same-frequency cell channel detection ratio obtaining module according to the present invention.
Detailed Description
In order to further explain the technical means and effects of the present invention, the following description of the present invention with reference to the accompanying drawings and preferred embodiments will be made for clarity and completeness. It should be noted that the first and second terms appearing herein are only used for distinguishing the same technical features, and do not limit the order, number, and the like of the technical features.
As shown in fig. 1, a method for obtaining a detection ratio of a co-frequency cell based on an LTE network includes the steps of:
s110, acquiring the MR detection proportion of the co-frequency cells according to the MR data;
s120, determining a main service road coverage cell according to the sweep frequency data of the road, wherein the main service road coverage cell is the cell with the strongest signal intensity in the initial sampling point of the sweep frequency data;
s130, obtaining a channel detection proportion of the same-frequency cell according to a total sampling point of the main service channel coverage cell and a sub-sampling point of a first RSRP difference value in a preset range, wherein the first RSRP difference value is the difference value of the RSRP of the main service channel coverage cell and the RSRP of a same-frequency neighboring cell of the main service channel coverage cell;
s140, determining the maximum value in the same-frequency cell MR detection proportion and the same-frequency cell road detection proportion as the same-frequency cell detection proportion;
s150, obtaining a cutting proportion according to the cutting application number of the service cell to the adjacent regions with the same frequency in a preset range and the total cutting application number of the service cell to all the adjacent regions with the same frequency;
and S160, obtaining the correlation coefficient of the co-frequency cell according to the detection proportion and the cut-out proportion of the co-frequency cell.
In step S110, the same frequency cell MR detection ratio (SS)snm): the frequency of n times of detecting the same-frequency adjacent cells by a service cell (main cell) s accounts for the proportion of the frequency of all the adjacent cells detected by the service cell s, wherein SS represents signal strength, s in subscripts represents the service cell, n in the subscripts represents the same-frequency adjacent cells of the service cell, and m in the subscripts represents MR data.
SSsnmCan be calculated according to the related coefficient calculation method in the prior art, namely SSsnmThe number of measurement reports within the serving cell scell detection co-frequency neighbor celll 6 dB/total number of measurement reports detected by the serving cell. The method calculates the SS with large signal strength level differencesnmIs not accurate enough to reflect the correlation between cells.
Aiming at the defects, the invention corrects the existing correlation coefficient calculation formula. Therefore, in one embodiment, step S110 may include:
s1101, obtaining a total measurement report number detected by a serving cell according to MR data, and a first measurement report number of a second RSRP difference value in a first preset range and a second measurement report number in a second preset range, wherein the second RSRP difference value is a difference value between the RSRP of the serving cell and the RSRP of an adjacent region with the same frequency of the serving cell;
s1102, according to the expression: and obtaining the MR detection proportion of the co-frequency cells, namely (the first measurement report number/the total measurement report number) first preset constant + (the second measurement report number/the total measurement report number) second preset constant.
The first preset range and the second preset range may be determined according to actual needs, for example, the first preset range is a range less than or equal to 3dB, and the second preset range is a range less than or equal to 6dB and greater than 3 dB. The first preset constant and the second preset constant are empirical constants, wherein the first preset constant can be a value in the range of 1-1.2, preferably 1.2, and the second preset constant can be a value in the range of 0.8-1, preferably 1. The corrected MR detection proportion of the same-frequency cells is calculated in different regions, and the weight coefficient of each region is considered, so that the result is more accurate, and the correlation among the cells is more closely reflected.
In one embodiment, the modified SSsnmThe measurement report number/total measurement report number is 1.2+ within 6dB and outside 3dB of the same-frequency neighboring cell detected by the serving cell (the serving cell RSRP-the same-frequency neighboring cell RSRP is less than or equal to 3dB) of the same-frequency neighboring cell detected by the serving cell (the serving cell RSRP-the same-frequency neighboring cell RSRP is less than equal to 6dB and is more than 3 dB).
In step S120, the current LTE outdoor frequency band includes D frequency and F frequency, where the D frequency includes three frequency points D1, D2, and D3, and the F frequency includes two frequency points F1 and F2. Due to background parameter setting, if the frequency of D1 is larger than-92 dBm (decibel milliX) on the actual road, the road is basically covered by the frequency of D1.
The primary service road coverage cell may be determined according to various ways, for example, in each sampling point, the signal strength is generally arranged from large to small, and if the signal strength of a cell is arranged at the first position in consecutive N sampling points from the first initial sampling point to the next, the cell is the primary service road coverage cell, i.e. the top cell. N may be set according to needs, for example, N is set as the 13 th sampling point, and if the signal intensity of a cell from the 1 st sampling point to the 13 th sampling point is ranked in the first place, the cell is the main service road coverage cell. In addition, a secondary strong co-frequency cell within 3dBm can be defined as a secondary service road coverage cell.
When calculating the continuous sampling points, the method for determining the coverage area of the main service road is too harsh, does not consider the actual switching conditions, and loses partial points which are not the strongest but belong to the continuous sampling points. Therefore, in one embodiment, step S120 may include:
s1201, determining a cell which contains a D1 frequency point and has the maximum RSRP in an initial sampling point (namely the 1 st sampling point) of the sweep frequency data as a road coverage cell;
the road coverage cell is mainly determined by the first cell of the initial sampling point of the sweep frequency data, and if one cell in the first sampling point contains D1 frequency and the signal intensity is the strongest, the cell is the road coverage cell. Considering the uncertainty of the signal, a sampling point may drift suddenly, so that it cannot be determined whether the road coverage cell is the main service road coverage cell, and it is necessary to synthesize the subsequent sampling points to determine whether the road coverage cell is the main service road coverage cell.
S1202, respectively detecting whether difference values of RSRP of the road coverage cell and RSRP of a same-frequency adjacent cell of the road coverage cell are larger than a first preset threshold value in each sampling point of a first continuous sampling point interval, wherein the first continuous sampling point interval comprises preset continuous sampling points, and a first sampling point in the first continuous sampling point interval is a next sampling point of the initial sampling point;
each sampling point in the first continuous sampling point interval is continuous, for example, the sampling points in the first continuous sampling point interval are the 2 nd sampling point, the 3rd sampling point, the 4 th sampling point, … … and the 10 th sampling point in sequence, and the sequence of the sampling points is determined according to the sampling time. The first preset threshold may be determined according to actual needs, for example, set to 3 dB. In each sample point in the first continuous interval of sample points, the difference needs to be greater than a first preset threshold. Taking the 10 th sampling point as an example, the RSRP of the road coverage cell needs to be stronger than that of the same-frequency neighboring cell by more than 3dB, and then the subsequent judgment is performed.
S1203, if yes, respectively detecting whether the RSRP of the road coverage cell meets preset conditions in each sampling point of a second continuous sampling point interval, wherein the second continuous sampling point interval comprises preset continuous sampling points, and a first sampling point in the second continuous sampling point interval is a next sampling point of a last sampling point in the first continuous sampling point interval;
the sampling points in the second continuous sampling interval are continuous, for example, the sampling point in the first continuous sampling interval is the 2 nd sampling point, the 3rd sampling point, … …, the 10 th sampling point in turn, and the sampling point in the second continuous sampling interval is the 11 th sampling point, the 12 th sampling point and the 13 th sampling point in turn.
In one embodiment, the preset conditions include: (condition 1) if a cell with the strongest signal strength in one sampling point is a pilot frequency cell of the road coverage cell, the RSRP of the road coverage cell is greater than a signal strength threshold, and the signal strength threshold may be set according to an actual situation, for example, the signal strength threshold may be set to-92 dBm; or, (condition 2) if the cell with the strongest signal strength in one sampling point is the pilot frequency cell of the road coverage cell, the difference value between the RSRP of the pilot frequency cell and the RSRP of the road coverage cell is smaller than a second preset threshold, and the second preset threshold may be set according to actual needs, for example, to 6 dB; or, (condition 3) if the cell with the strongest signal strength in one sampling point is the same-frequency neighboring cell of the road coverage cell, the difference value between the RSRP of the same-frequency neighboring cell with the strongest signal strength and the RSRP of the road coverage cell is smaller than a third preset threshold, and the third preset threshold may be set according to actual needs, for example, set to 3 dB. For the 3rd condition, it is explained by an example that, after the road coverage cell reaches the strongest 2 consecutive sampling points, the signal strength of the road coverage cell at the third sampling point becomes second stronger, but within 3dB weaker than the strongest same-frequency sampling point, it should be considered as continuous coverage.
As long as the RSRP of the road coverage cell satisfies any one of the above three conditions, even if the RSRP of the road coverage cell is not TOP in a certain sampling point, the RSRP of the road coverage cell should be calculated as continuous coverage, and thus TOP sampling points that appear continuously can be determined.
And S1204, if yes, determining the road coverage cell as a main service road coverage cell.
In step S130, the same frequency cell channel detection ratio SSsnrThe method is a road interference model established according to the sweep frequency data, and provides a powerful guarantee for the improvement of the road quality. SSsnrThe SS in the subscript represents the signal intensity, the s in the subscript represents a main service road coverage cell, the n in the subscript represents an identical-frequency adjacent cell of the main service road coverage cell, and the r in the subscript represents road frequency sweeping data.
SSsnrCan be obtained in a number of ways and will be described below with reference to two examples.
In one embodiment, step S130 may include:
s1301, obtaining a total sampling point of a main service channel coverage cell and a third sub-sampling point of a first RSRP difference value in a fifth preset range according to the frequency sweep data of the road;
s1302, obtaining a channel detection ratio of the same-frequency cell according to the ratio of the third sub-sampling point to the total sampling point.
The fifth preset range may be determined according to actual needs, for example, the fifth preset range is a range less than or equal to 6 dB. The method does not carry out calculation in intervals, and the obtained accuracy is low.
In a particular embodiment, SSsnrSampling points/A cell total sampling points within 6dB of frequency-scanning main service road covering cell A and same-frequency adjacent cell A (A cell RSRP-same-frequency adjacent cell RSRP is less than or equal to 6dB)]。
In another embodiment, step S130 includes:
s130-1, obtaining total sampling points of a main service channel coverage cell, a first sub-sampling point of a first RSRP difference value in a third preset range and a second sub-sampling point of the first RSRP difference value in a fourth preset range according to sweep frequency data of a road;
s130-2, according to the expression: and obtaining the same-frequency cell road detection proportion (the first sub-sampling point/the total sampling point) and a third preset constant + (the second sub-sampling point/the total sampling point) and a fourth preset constant.
The third preset range and the fourth preset range may be determined according to actual needs, for example, the third preset range is a range less than or equal to 3dB, and the second preset range is a range less than or equal to 6dB and greater than 3 dB. The third preset constant and the fourth preset constant are empirical constants, wherein the third preset constant may be a value in the range of 1-1.2, preferably 1.2, and the fourth preset constant may be a value in the range of 0.8-1, preferably 1. SSsnrThe calculation is carried out in different regions, and the weight coefficient of each region is considered, so that the result is more accurate, and the correlation between the road cells is more closely reflected.
In a particular embodiment, SSsnrSampling points/A cell total sampling points within 3dB of frequency-scanning main service road covering cell A and same-frequency adjacent cell A (A cell RSRP-same-frequency adjacent cell RSRP is less than or equal to 3dB)]1.2+ sweep frequency A cell and sampling points in 6dB and out of 3dB (A cell RSRP-same frequency adjacent cell RSRP is less than or equal to 6dB and more than 3dB) of the same frequency adjacent cell/A cell total sampling point.
In step S140, the same-frequency cell detection ratio SSsnBased on the MR detection proportion (SS) of the same-frequency cellssnm) And same frequency cell road detection ratio (SS)snr) The calculation formula is as follows:
same frequency cell detection ratio (SS)sn)＝MAX((SSsnm),(SSsnr))
In step S150, in order to reflect the movement of the mobile terminals in the two cells and accurately reflect the relationship between the edge positions of the cells, the present invention also considers obtaining the cut-out ratio according to the handover data (session data) when calculating the correlation coefficient.
Cut-out ratio (HO)sn) The number of the cut-out applications from the serving cell S to the adjacent regions with the same frequency in the preset range/the total number of the cut-out applications from the serving cell S to all the adjacent regions with the same frequency. Such as cuttingThe output ratio is that the service cell S outputs the application number to all the same-frequency adjacent cells within 6dB (the RSRP of the service cell S-the RSRP of the same-frequency adjacent cells is less than or equal to 6 dB).
In step S160, the co-frequency cell correlation coefficient is obtained according to the co-frequency cell detection ratio and the cut-out ratio.
In one embodiment, the CO-frequency cell correlation coefficient CO may be obtained according to the following expressionsn：
CO-frequency cell correlation coefficient COsnCommon frequency cell detection ratio SSsnWeight Kss + cut-out proportion HO of same frequency cell correlation coefficientsnAnd cutting Kho of the proportional weight, wherein Kho is 1-Kss, and Kss is an empirical constant value.
Based on the same inventive concept, the invention also provides a device for obtaining the correlation coefficient of the same-frequency cells based on the LTE network, and the specific implementation mode of the device is described in detail in the following by combining the attached drawings.
As shown in fig. 2, an apparatus for obtaining correlation coefficient of co-frequency cells based on an LTE network includes:
a common-frequency cell MR detection ratio obtaining module 110, configured to obtain a common-frequency cell MR detection ratio according to MR data;
a main service road coverage cell obtaining module 120, configured to determine a main service road coverage cell according to frequency sweep data of a road, where the main service road coverage cell is a cell with a strongest signal strength in an initial sampling point of the frequency sweep data;
an intra-frequency cell road detection ratio obtaining module 130, configured to obtain an intra-frequency cell road detection ratio according to a total sampling point of the main service channel coverage cell and a sub-sampling point of a first RSRP difference value within a preset range, where the first RSRP difference value is a difference value between an RSRP of the main service channel coverage cell and an RSRP of an intra-frequency neighboring cell of the main service channel coverage cell;
a same-frequency cell detection ratio obtaining module 140, configured to determine a maximum value of the MR detection ratio and the road detection ratio of the same-frequency cell as a same-frequency cell detection ratio;
a cut-out proportion obtaining module 150, configured to obtain a cut-out proportion according to the number of cut-out applications of the serving cell to the co-frequency neighboring cells within a preset range and the total number of cut-out applications of the serving cell to all co-frequency neighboring cells;
a co-frequency cell correlation coefficient obtaining module 160, configured to obtain a co-frequency cell correlation coefficient according to the co-frequency cell detection ratio and the cut-out ratio.
The same-frequency cell MR detection ratio obtaining module 110 can obtain SS according to the existing correlation coefficient calculation method in the prior artsnmI.e. SSsnmThe number of measurement reports within the serving cell scell detection co-frequency neighbor celll 6 dB/total number of measurement reports detected by the serving cell. However, the method calculates the SS with large signal strength level differencesnmIs not accurate enough to reflect the correlation between cells.
Aiming at the defects, the invention corrects the existing correlation coefficient calculation formula. Therefore, in an embodiment, as shown in fig. 3, the intra-frequency cell MR detection ratio obtaining module 110 may include:
a measurement report number obtaining unit 1101, configured to obtain, according to MR data, a total measurement report number detected by a serving cell, and a first measurement report number of a second RSRP difference value within a first preset range and a second measurement report number within a second preset range, where the second RSRP difference value is a difference value between an RSRP of the serving cell and an RSRP of an intra-frequency neighboring cell of the serving cell;
an intra-frequency cell MR detection ratio obtaining unit 1102, configured to: and obtaining the MR detection proportion of the co-frequency cells, namely (the first measurement report number/the total measurement report number) first preset constant + (the second measurement report number/the total measurement report number) second preset constant.
The corrected MR detection proportion of the same-frequency cells is calculated in different regions, and the weight coefficient of each region is considered, so that the result is more accurate, and the correlation among the cells is more closely reflected.
The main service road coverage cell obtaining module 120 may determine the main service road coverage cell according to a variety of ways, for example, in each sampling point, the signal strength is generally arranged from large to small, and if the signal strength of a cell is arranged in the first position from the first initial sampling point to the next consecutive N sampling points, the cell is the main service road coverage cell, i.e., the top cell. N may be set as desired.
When calculating the continuous sampling points, the method for determining the coverage area of the main service road is too harsh, does not consider the actual switching conditions, and loses partial points which are not the strongest but belong to the continuous sampling points. Therefore, in one embodiment, as shown in fig. 4, the primary serving road coverage cell obtaining module 120 may include:
a road coverage cell determining unit 1201, configured to determine a cell, in which a start sampling point of the sweep frequency data includes a D1 frequency point and RSRP is the largest, as a road coverage cell;
a difference detection unit 1202, configured to detect, in each sampling point of a first continuous sampling point interval, whether a difference between an RSRP of the road coverage cell and an RSRP of an adjacent cell of the road coverage cell is greater than a first preset threshold, where the first continuous sampling interval includes a preset number of continuous sampling points, and a first sampling point in the first continuous sampling point interval is a next sampling point of the initial sampling point;
an RSRP detecting unit 1203, configured to detect whether RSRP of the road coverage cell meets a preset condition in each sampling point of a second continuous sampling point interval when the difference is greater than a first preset threshold, where the second continuous sampling point interval includes preset continuous sampling points, and a first sampling point in the second continuous sampling point interval is a next sampling point of a last sampling point in the first continuous sampling point interval;
a main service road coverage cell determining unit 1204, configured to determine, when the RSRPs all satisfy a preset condition, the road coverage cell as a main service road coverage cell.
In one embodiment, the preset conditions include: (condition 1) if a cell with the strongest signal strength in one sampling point is a pilot frequency cell of the road coverage cell, the RSRP of the road coverage cell is greater than a signal strength threshold, and the signal strength threshold may be set according to an actual situation, for example, the signal strength threshold may be set to-92 dBm; or, (condition 2) if the cell with the strongest signal strength in one sampling point is the pilot frequency cell of the road coverage cell, the difference value between the RSRP of the pilot frequency cell and the RSRP of the road coverage cell is smaller than a second preset threshold, and the second preset threshold may be set according to actual needs, for example, to 6 dB; or, (condition 3) if the cell with the strongest signal strength in one sampling point is the same-frequency neighboring cell of the road coverage cell, the difference value between the RSRP of the same-frequency neighboring cell with the strongest signal strength and the RSRP of the road coverage cell is smaller than a third preset threshold, and the third preset threshold may be set according to actual needs, for example, set to 3 dB.
As long as the RSRP of the road coverage cell satisfies any one of the above three conditions, even if the RSRP of the road coverage cell is not TOP in a certain sampling point, the RSRP of the road coverage cell should be calculated as continuous coverage, and thus TOP sampling points that appear continuously can be determined.
The same-frequency cell channel detection ratio obtaining module 130 can obtain the SS according to various wayssnrFor example, in an embodiment, as shown in fig. 5, the intra-frequency cell channel detection ratio obtaining module 130 may include:
the second sampling point obtaining unit 1301 is configured to obtain a total sampling point of a main service channel coverage cell and a third sub-sampling point of the first RSRP difference value within a fifth preset range according to the frequency sweep data of the road;
a second same-frequency cell road detection ratio obtaining unit 1302, configured to obtain a same-frequency cell road detection ratio according to a ratio of the third sub-sampling point to the total sampling point. The method does not carry out calculation in intervals, and the accuracy obtained by the method is low.
In another embodiment, as shown in fig. 6, the intra-frequency cell channel detection ratio obtaining module 130 may include:
the first sampling point obtaining unit 130-1 is configured to obtain a total sampling point of a main service channel coverage cell, a first sub-sampling point of a first RSRP difference value within a third preset range, and a second sub-sampling point of the first RSRP difference value within a fourth preset range according to sweep frequency data of a road;
a first on-frequency cell road detection ratio obtaining unit 130-2, configured to: and obtaining the same-frequency cell road detection proportion (the first sub-sampling point/the total sampling point) and a third preset constant + (the second sub-sampling point/the total sampling point) and a fourth preset constant.
In the method SSsnrThe calculation is carried out in different regions, and the weight coefficient of each region is considered, so that the result is more accurate, and the correlation between the road cells is more closely reflected.
Same frequency cell detection ratio SSsnBased on the MR detection proportion (SS) of the same-frequency cellssnm) And same frequency cell road detection ratio (SS)snr) The same-frequency cell detection ratio obtaining module 140 obtains the same-frequency cell detection ratio SS according to the following calculation formulasn：
Same frequency cell detection ratio (SS)sn)＝MAX((SSsnm),(SSsnr))
In order to reflect the moving direction of mobile terminals in two cells and accurately reflect the relation between the edge positions of the cells, the invention also considers the switching data and the root when calculating the correlation coefficientAnd obtaining the cut-out proportion according to the switching data. Cut-out ratio (HO)sn) The number of the cut-out applications from the serving cell S to the adjacent regions with the same frequency in the preset range/the total number of the cut-out applications from the serving cell S to all the adjacent regions with the same frequency.
In an embodiment, the intra-frequency cell correlation coefficient obtaining module 150 may obtain an intra-frequency cell correlation coefficient CO according to the following expressionsn：
CO-frequency cell correlation coefficient COsnCommon frequency cell detection ratio SSsnWeight Kss + cut-out proportion HO of same frequency cell correlation coefficientsnAnd cutting Kho of the proportional weight, wherein Kho is 1-Kss, and Kss is an empirical constant value.
Compared with the prior art, the method and the device for obtaining the correlation coefficient of the same-frequency cell based on the LTE network have the following advantages that:
(1) the problem of MR acquisition loss is compensated: according to the method, the same-frequency cell MR detection proportion (MR data interference model) is obtained according to MR data, the same-frequency cell road detection proportion (road interference model) is obtained according to the sweep frequency data of the road, and then the same-frequency cell detection proportion is determined by combining through an MAX algorithm, so that the defect of an important road interference model caused by the defect of MR is made up;
(2) establishing a road interference model: a road interference model is established through the sweep frequency data of the road, the sweep frequency data provides 2S (two times of standard deviation) precision, meanwhile, the method is more suitable for the actual network environment of the mobile terminal, the correlation of road cells can be accurately reflected, and powerful guarantee is provided for the improvement of the road quality;
(3) the accuracy of the correlation coefficient (the MR detection ratio of the same-frequency cell) is improved: the corrected MR correlation coefficients are calculated in different intervals, and the weight values of all the intervals are considered, so that the accuracy of the correlation coefficients is higher, and the correlation degrees among the cells are more appropriate;
(4) accurately embodying the relationship of the edge cells: the moving direction of mobile terminals in two cells can be directly reflected through switching data, and the relationship between the edge positions of the cells is closely reflected.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (6)
1. A method for obtaining correlation coefficients of co-frequency cells based on an LTE network is characterized by comprising the following steps:
acquiring the MR detection proportion of the cells with the same frequency according to the MR data;
determining a main service road coverage cell according to the sweep frequency data of the road, wherein the main service road coverage cell is a cell with the strongest signal strength in the initial sampling point of the sweep frequency data;
acquiring a same-frequency cell road detection proportion according to a total sampling point of the main service road coverage cell and a sub-sampling point of a first RSRP difference value in a preset range A, wherein the first RSRP difference value is the difference value of the RSRP of the main service road coverage cell and the RSRP of a same-frequency adjacent cell of the main service road coverage cell;
determining the maximum value in the MR detection proportion and the road detection proportion of the same-frequency cell as the detection proportion of the same-frequency cell;
obtaining a cutting-out proportion according to the cutting-out application number of the service cell to the adjacent regions with the same frequency in a preset range B and the total cutting-out application number of the service cell to all the adjacent regions with the same frequency;
obtaining the correlation coefficient of the same-frequency cell according to the detection proportion and the cutting-out proportion of the same-frequency cell;
the method for obtaining the MR detection ratio of the co-frequency cells according to the MR data comprises the following steps:
obtaining the total measurement report number detected by the serving cell according to MR data, and a first measurement report number of a second RSRP difference value in a first preset range and a second measurement report number in a second preset range, wherein the second RSRP difference value is the difference value of the RSRP of the serving cell and the RSRP of an adjacent region with the same frequency of the serving cell;
according to the expression: obtaining an intra-frequency cell MR detection ratio (the first measurement report number/the total measurement report number) × a first preset constant + (the second measurement report number/the total measurement report number) × a second preset constant;
obtaining the correlation coefficient of the same-frequency cell according to the following expression:
the co-frequency cell correlation coefficient is the co-frequency cell detection proportion weight + the cut-out proportion weight;
MR is a measurement report.
2. The method for obtaining correlation coefficients of co-frequency cells based on an LTE network according to claim 1, wherein the step of determining the coverage cell of the main service road according to the sweep frequency data of the road comprises:
determining a cell with the maximum RSRP and containing a D1 frequency point in an initial sampling point of the sweep frequency data as a road coverage cell;
respectively detecting whether difference values of RSRP of the road coverage cell and RSRP of an adjacent cell with the same frequency of the road coverage cell are larger than a first preset threshold value or not in each sampling point of a first continuous sampling point interval, wherein the first continuous sampling interval comprises a preset continuous first sampling point, and the first sampling point in the first continuous sampling point interval is the next sampling point of the initial sampling point;
if yes, respectively detecting whether the RSRP of the road coverage cell meets preset conditions in each sampling point of a second continuous sampling point interval, wherein the second continuous sampling point interval comprises preset continuous second sampling points, and a first sampling point in the second continuous sampling point interval is a next sampling point of a last sampling point in the first continuous sampling point interval; the preset conditions include: if the cell with the strongest signal strength in one sampling point is a pilot frequency cell of the road coverage cell, the RSRP of the road coverage cell is greater than a signal strength threshold value; or if the cell with the strongest signal strength in one sampling point is a pilot frequency cell of the road coverage cell, the difference value between the RSRP of the pilot frequency cell and the RSRP of the road coverage cell is smaller than a second preset threshold value; or if the cell with the strongest signal strength in one sampling point is the same-frequency neighboring cell of the road coverage cell, the difference value of the RSRP of the same-frequency neighboring cell with the strongest signal strength and the RSRP of the road coverage cell is smaller than a third preset threshold value;
and if so, determining the road coverage cell as a main service road coverage cell.
3. The method for obtaining correlation coefficients of co-frequency cells based on LTE network according to claim 1,
the step of obtaining the road detection proportion of the same-frequency cell according to the total sampling point of the main service road coverage cell and the sub-sampling points of the first RSRP difference value within the preset range comprises the following steps:
acquiring total sampling points of a coverage cell of a main service road, a first sub-sampling point of a first RSRP difference value in a third preset range and a second sub-sampling point of a first RSRP difference value in a fourth preset range according to sweep frequency data of the road;
according to the expression: obtaining a channel detection ratio of the same-frequency cell, wherein the channel detection ratio of the same-frequency cell is (the first sub-sampling point/the total sampling point) × a third preset constant + (the second sub-sampling point/the total sampling point) × a fourth preset constant;
or,
the step of obtaining the road detection proportion of the same-frequency cell according to the total sampling point of the main service road coverage cell and the sub-sampling points of the first RSRP difference value within the preset range comprises the following steps:
acquiring a total sampling point of a main service road coverage cell and a third sub-sampling point of a first RSRP difference value in a fifth preset range according to the sweep frequency data of the road;
and obtaining the road detection proportion of the same-frequency cell according to the ratio of the third sub-sampling point to the total sampling point.
4. An apparatus for obtaining correlation coefficient of co-frequency cells based on an LTE network is characterized by comprising:
the same-frequency cell MR detection proportion obtaining module is used for obtaining the same-frequency cell MR detection proportion according to the MR data;
the system comprises a main service road coverage cell obtaining module, a main service road coverage cell obtaining module and a main service road coverage cell obtaining module, wherein the main service road coverage cell is used for determining the main service road coverage cell according to the sweep frequency data of the road, and the main service road coverage cell is the cell with the strongest signal strength in the initial sampling point of the sweep frequency data;
the system comprises a same-frequency cell road detection proportion obtaining module, a main service road coverage cell acquiring module and a main service road coverage cell acquiring module, wherein the same-frequency cell road detection proportion obtaining module is used for obtaining a same-frequency cell road detection proportion according to a total sampling point of the main service road coverage cell and a sub-sampling point of a first RSRP difference value in a preset range A, and the first RSRP difference value is the difference value of the RSRP of the main service road coverage cell and the RSRP of a same-frequency neighboring cell of the main service road coverage cell;
a same-frequency cell detection ratio obtaining module, configured to determine a maximum value of the MR detection ratio and the road detection ratio of the same-frequency cell as a same-frequency cell detection ratio;
the cutting-out proportion obtaining module is used for obtaining the cutting-out proportion according to the cutting-out application number of the service cell to the adjacent regions with the same frequency in the preset range B and the total cutting-out application number of the service cell to all the adjacent regions with the same frequency;
a same-frequency cell correlation coefficient obtaining module, configured to obtain a same-frequency cell correlation coefficient according to the same-frequency cell detection ratio and the cut-out ratio;
wherein, the same-frequency cell MR detection proportion obtaining module comprises:
a measurement report number obtaining unit, configured to obtain, according to MR data, a total measurement report number detected by the serving cell, and a first measurement report number of a second RSRP difference value within a first preset range and a second measurement report number within a second preset range, where the second RSRP difference value is a difference value between an RSRP of the serving cell and an RSRP of an intra-frequency neighboring cell of the serving cell;
the same-frequency cell MR detection proportion obtaining unit is used for obtaining the proportion of the MR detection in the same-frequency cell according to the expression: obtaining an intra-frequency cell MR detection ratio (the first measurement report number/the total measurement report number) × a first preset constant + (the second measurement report number/the total measurement report number) × a second preset constant;
the same-frequency cell correlation coefficient obtaining module obtains the same-frequency cell correlation coefficient according to the following expression:
the co-frequency cell correlation coefficient is the co-frequency cell detection proportion weight + the cut-out proportion weight;
MR is a measurement report.
5. The device for obtaining correlation coefficient of co-frequency cells based on LTE network according to claim 4, wherein said main service road covering cell obtaining module comprises:
the road coverage cell determining unit is used for determining a cell which contains a D1 frequency point and has the maximum RSRP in the initial sampling point of the sweep frequency data as a road coverage cell;
the difference detection unit is used for respectively detecting whether the difference value of the RSRP of the road coverage cell and the RSRP of the same-frequency adjacent cell of the road coverage cell is larger than a first preset threshold value in each sampling point of a first continuous sampling point interval, wherein the first continuous sampling point interval comprises a preset number of continuous first sampling points, and the first sampling point in the first continuous sampling point interval is the next sampling point of the initial sampling point;
the RSRP detection unit is used for respectively detecting whether the RSRP of the road coverage cell meets preset conditions in each sampling point of a second continuous sampling point interval when the difference values are larger than a first preset threshold value, wherein the second continuous sampling point interval comprises preset continuous second sampling points, and a first sampling point in the second continuous sampling point interval is a next sampling point of a last sampling point in the first continuous sampling point interval; the preset conditions include: if the cell with the strongest signal strength in one sampling point is a pilot frequency cell of the road coverage cell, the RSRP of the road coverage cell is greater than a signal strength threshold value; or if the cell with the strongest signal strength in one sampling point is a pilot frequency cell of the road coverage cell, the difference value between the RSRP of the pilot frequency cell and the RSRP of the road coverage cell is smaller than a second preset threshold value; or if the cell with the strongest signal strength in one sampling point is the same-frequency neighboring cell of the road coverage cell, the difference value of the RSRP of the same-frequency neighboring cell with the strongest signal strength and the RSRP of the road coverage cell is smaller than a third preset threshold value;
and the main service road coverage cell determining unit is used for determining the road coverage cell as the main service road coverage cell when the RSRP meets the preset condition.
6. The LTE network-based intra-frequency cell correlation coefficient obtaining apparatus according to claim 4,
the same-frequency cell road detection proportion obtaining module comprises:
the first sampling point obtaining unit is used for obtaining total sampling points of a coverage cell of a main service road, a first sub-sampling point of a first RSRP difference value in a third preset range and a second sub-sampling point of a first RSRP difference value in a fourth preset range according to sweep frequency data of the road;
a first same-frequency cell road detection proportion obtaining unit, configured to: obtaining a channel detection ratio of the same-frequency cell, wherein the channel detection ratio of the same-frequency cell is (the first sub-sampling point/the total sampling point) × a third preset constant + (the second sub-sampling point/the total sampling point) × a fourth preset constant;
or,
the same-frequency cell road detection proportion obtaining module comprises:
the second sampling point obtaining unit is used for obtaining a total sampling point of a main service road coverage cell and a third sub-sampling point of the first RSRP difference value within a fifth preset range according to the sweep frequency data of the road;
and the second same-frequency cell road detection proportion obtaining unit is used for obtaining the same-frequency cell road detection proportion according to the ratio of the third sub-sampling point to the total sampling point.
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