CN109996239B - Method and device for optimizing and analyzing LTE (Long term evolution) network structure - Google Patents
Method and device for optimizing and analyzing LTE (Long term evolution) network structure Download PDFInfo
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Abstract
The invention provides a method and a device for optimizing and analyzing an LTE (Long term evolution) network structure, wherein a downlink interference matrix and an uplink interference matrix are constructed, wherein the downlink interference matrix comprises elements for analyzing the weak coverage degree of cells, the weak coverage degree of each cell, a downlink interference coefficient and an uplink interference coefficient of mutual interference between every two cells are respectively obtained based on the downlink interference matrix and the uplink interference matrix, and network problems are analyzed by synthesizing the parameters.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a method and an apparatus for optimizing and analyzing an LTE network structure.
Background
The 4G network coverage quality is directly related to user experience, and is the most concerned problem of operators in the network construction and optimization process. The ideal network coverage target is seamless coverage, i.e. the overlap area between cells can be made at a lower level, while ensuring user mobility. However, when the network structure is not reasonable, the network structure problems such as overlapping coverage, over-coverage or weak coverage are easy to occur. Therefore, a scientific means is needed to evaluate the network structure and find out the problem cell for optimization and adjustment.
The existing network structure evaluation and optimization method generally evaluates and scores a network through one or more specific indexes which reflect the quality of the network structure, screens out cells with network structure problems, and further optimizes and adjusts the problem cells according to a single index to improve the quality of the network structure.
However, the current optimization usually performs optimization adjustment for single coverage or interference, and such adjustment may negatively affect other indexes of the network structure, and the optimization goal can be achieved through multiple rounds of adjustment if balance among multiple optimization goals is to be achieved; in addition, the problem that only a downlink network structure or only an uplink network structure is considered in the current optimization cannot be accurately analyzed to cause the real reason and the root cause of the network problem.
Disclosure of Invention
To overcome the above problems or at least partially solve the above problems, the present invention provides a method and apparatus for LTE network structure optimization analysis.
According to an aspect of the present invention, there is provided a method for LTE network structure optimization analysis, including: constructing a downlink interference matrix, and constructing an uplink interference matrix, wherein elements in the downlink interference matrix comprise the weak coverage sampling point occupation ratio of each cell, the weak coverage sampling point occupation ratio of any cell is the ratio of the number of the weak coverage sampling points in any cell to the total number of the sampling points in any cell, and the weak coverage sampling points are sampling points with reference signal receiving power smaller than a first preset value; acquiring the weak coverage degree of each cell, a first cell set and a second cell set based on the downlink interference matrix, wherein the first cell set is a set formed by cells with the largest downlink interference to all the cells and the first preset number, and the second cell set is a set formed by cells with the largest downlink interference to all the cells and the second preset number; acquiring a third cell set and a fourth cell set based on the uplink interference matrix, wherein the third cell set is a set formed by cells with the maximum uplink interference to all the cells by a third preset number, and the fourth cell set is a set formed by cells with the maximum uplink interference to all the cells by a fourth preset number; and determining an interference source cell and an interference target cell based on the weak coverage degree of each cell, the first cell set, the second cell set, the third cell set and the fourth cell set, and making an optimization strategy according to the interference source cell and the interference target cell.
The method for constructing the downlink interference matrix comprises the following steps: acquiring the weak coverage sampling point occupation ratio of each cell, and taking the weak coverage sampling point occupation ratio of a kth cell as an element of a kth row and a kth column in a downlink interference matrix, wherein k is a positive integer; acquiring a downlink interference coefficient of the nth cell to the mth cell, taking the downlink interference coefficient of the nth cell to the mth cell as an element of the mth row and the nth column in a downlink interference matrix, the downlink interference coefficient of the nth cell to the mth cell is a ratio of the number of interference sampling points in the mth cell to the total number of sampling points in the mth cell, the interference sampling points in the mth cell are sampling points in the mth cell, the interference sampling points meet a first preset condition and a second preset condition, the first preset condition is that a difference between reference signal receiving power of the mth cell contained in the sampling points in the mth cell and reference signal receiving power of the nth cell is smaller than or equal to a second preset value, and the second preset condition is that the reference signal receiving power of the nth cell contained in the sampling points in the mth cell is larger than or equal to a third preset value.
Wherein, the uplink interference matrix is constructed, which comprises the following steps: acquiring a high interference sampling point ratio of each cell, and taking the high interference sampling point ratio of a kth cell as an element of a kth row and a kth column in an uplink interference matrix, wherein k is a positive integer, the high interference sampling point ratio of any cell is the ratio of the number of high interference sampling points in any cell to the total number of sampling points in any cell, and the high interference sampling points are sampling points with received interference power larger than a fourth preset value; and acquiring an uplink interference coefficient of the nth cell to the mth cell, and taking the uplink interference coefficient of the nth cell to the mth cell as an element of the nth row and the nth column in an uplink interference matrix, wherein m and n are unequal positive integers, and the uplink interference coefficient of the nth cell to the mth cell is the sum of uplink receiving power of the nth cell contained in each sampling point in the mth cell.
The acquiring step of the first cell set comprises the following steps: summing the designated elements of each column in the downlink interference matrix to obtain a first sum value corresponding to each column, wherein the designated elements of each column are elements which are not positioned on the diagonal line of the downlink interference matrix in all the elements of each column; arranging all the first sum values in a descending order, and selecting a first preset number of first sum values; and determining the cells in the first cell set according to the column corresponding to each first sum value in the first preset number of first sum values.
Wherein, the step of acquiring the second cell set comprises: summing the designated elements of each row in the downlink interference matrix to obtain a second sum value corresponding to each row, wherein the designated elements of each row are elements which are not positioned on the diagonal line of the downlink interference matrix in all the elements of each row; arranging all the second sum values in a descending order, and selecting a second sum value with a first preset number; and determining the cells in the second cell set according to the row corresponding to each second sum value in the second preset number of second sum values.
Wherein, the step of acquiring the third cell set comprises: summing the designated elements of each column in the uplink interference matrix to obtain a third sum corresponding to each column, wherein the designated elements of each column are elements which are not positioned on the diagonal line of the uplink interference matrix in all the elements of each column; arranging all the third sum values in a descending order, and selecting a first third preset number of third sum values; and determining the cells in the third cell set according to the column corresponding to each third sum value in the third preset number of third sum values.
Wherein, the step of acquiring the fourth cell set comprises: summing the specified elements of each row in the uplink interference matrix to obtain a fourth sum corresponding to each row, wherein the specified elements of each row are elements which are not positioned on the diagonal line of the uplink interference matrix in all the elements of each row; all the fourth sum values are arranged from large to small, and a fourth preset number of fourth sum values are selected; and determining the cells in the fourth cell set according to the row corresponding to each fourth sum value in the fourth preset number of fourth sum values.
In another aspect of the present invention, an apparatus for optimizing and analyzing an LTE network structure is provided, including: at least one processor; and at least one memory communicatively coupled to the processor, wherein: the memory stores program instructions executable by the processor, which invokes the program instructions to perform the methods described above.
In yet another aspect of the invention, a computer program product is provided, the computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, cause the computer to perform the method described above.
In yet another aspect of the present invention, a non-transitory computer-readable storage medium is provided, which stores a computer program that causes a computer to perform the above-described method.
The method and the device for optimizing and analyzing the LTE network structure provided by the invention have the advantages that by constructing the downlink interference matrix and the uplink interference matrix, wherein the downlink interference matrix comprises elements for analyzing the weak coverage degree of the cells, the weak coverage degree of each cell, and the downlink interference coefficient and the uplink interference coefficient of mutual interference between every two cells are respectively obtained based on the downlink interference matrix and the uplink interference matrix, the network problems are analyzed by synthesizing the parameters, therefore, the problems of a downlink network structure and an uplink network structure are considered simultaneously in the analysis process, and the optimization strategy of the network is formulated by combining the coverage degree of signals among cells and the interference condition of the signals among the cells without multiple rounds of optimization adjustment, and the real reason and the root cause of the network problem can be more accurately analyzed, and the quality and the efficiency of network optimization are improved.
Drawings
In order to more clearly illustrate the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of a method for optimizing and analyzing an LTE network structure according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In an embodiment of the present invention, referring to fig. 1, a method for LTE network structure optimization analysis is provided, including: s11, constructing a downlink interference matrix and an uplink interference matrix, wherein elements in the downlink interference matrix comprise the weak coverage sampling point occupation ratio of each cell, the weak coverage sampling point occupation ratio of any cell is the ratio of the number of the weak coverage sampling points in any cell to the total number of the sampling points in any cell, and the weak coverage sampling points are sampling points with reference signal receiving power smaller than a first preset value; s12, based on the downlink interference matrix, obtaining the weak coverage degree of each cell, a first cell set and a second cell set, wherein the first cell set is a set formed by cells with the largest downlink interference to all cells and the first preset number, and the second cell set is a set formed by cells with the largest downlink interference to all cells and the second preset number; s13, acquiring a third cell set and a fourth cell set based on the uplink interference matrix, wherein the third cell set is a set formed by a third preset number of cells with the maximum uplink interference on all the cells, and the fourth cell set is a set formed by a fourth preset number of cells with the maximum uplink interference on all the cells; s14, determining an interference source cell and an interference target cell based on the weak coverage degree of each cell, the first cell set, the second cell set, the third cell set and the fourth cell set, and making an optimization strategy according to the interference source cell and the interference target cell.
Specifically, in the daily operation of the LTE network, the allocation of frequency points between cells needs to be adjusted according to the change of the traffic and the propagation environment in the coverage area, so as to maintain the performance of the network. The current mature network optimization method is an interference matrix technology, that is, interference between cells is expressed as an interference matrix through analysis of experimental data, and elements in the matrix are used as measurement of interference degree between two cells, wherein the elements in the downlink interference matrix are used as measurement of downlink interference degree between the two cells, and the elements in the uplink interference matrix are used as measurement of uplink interference degree between the two cells.
In this embodiment, the weak coverage sampling point duty ratio of each cell is integrated into the downlink interference matrix, where the weak coverage sampling point duty ratio is a ratio of the number of the weak coverage sampling points to the total number of the sampling points, the weak coverage sampling point is a sampling point whose reference signal received power is smaller than a certain preset value, and each piece of reported measurement information is called a sampling point. Because the weak coverage sampling point occupation of each cell is merged into the downlink interference matrix, the interference degree of signals between the cells can be obtained and the coverage condition of the signals of the cells can be obtained when the downlink interference matrix is used for analysis. By analyzing the downlink interference matrix, obtaining the weak coverage degree of each cell, a set (a first cell set) composed of a first preset number of cells with maximum downlink interference on all cells and a set (a second cell set) composed of a second preset number of cells with maximum downlink interference on all cells; through the analysis of the uplink interference matrix, a set (third cell set) formed by a third preset number of cells with the maximum uplink interference of all the cells and a set (fourth cell set) formed by a fourth preset number of cells with the maximum downlink interference of all the cells are obtained; the cells in the first cell set, the second cell set, the third cell set and the fourth cell set are all cells with the maximum interference degree or cells with the maximum interference degree to other cells, the interference source cells and the interference target cells can be visually obtained by combining the cell sets and the weak coverage degree of each cell, an optimization strategy is formulated according to the interference source cells and the interference target cells, and the quality and the efficiency of network optimization can be improved.
In the embodiment, a downlink interference matrix and an uplink interference matrix are constructed, wherein the downlink interference matrix comprises elements for analyzing the weak coverage degree of the cells, the weak coverage degree of each cell, and a downlink interference coefficient and an uplink interference coefficient of mutual interference between every two cells are respectively obtained based on the downlink interference matrix and the uplink interference matrix, and the network problems are analyzed by synthesizing the parameters, so that the problems of a downlink network structure and an uplink network structure are simultaneously considered in the analysis process, an optimization strategy of the network is formulated by simultaneously combining the coverage degree of signals between the cells and the interference condition of the signals between the cells, multiple rounds of optimization adjustment are not needed, the true cause and root cause of the network problems can be more accurately analyzed, and the quality and efficiency of network optimization are improved.
Based on the above embodiments, constructing a downlink interference matrix includes: acquiring the weak coverage sampling point occupation ratio of each cell, and taking the weak coverage sampling point occupation ratio of a kth cell as an element of a kth row and a kth column in a downlink interference matrix, wherein k is a positive integer; acquiring a downlink interference coefficient of the nth cell to the mth cell, taking the downlink interference coefficient of the nth cell to the mth cell as an element of the mth row and the nth column in a downlink interference matrix, the downlink interference coefficient of the nth cell to the mth cell is a ratio of the number of interference sampling points in the mth cell to the total number of sampling points in the mth cell, the interference sampling points in the mth cell are sampling points in the mth cell, the interference sampling points meet a first preset condition and a second preset condition, the first preset condition is that a difference between reference signal receiving power of the mth cell contained in the sampling points in the mth cell and reference signal receiving power of the nth cell is smaller than or equal to a second preset value, and the second preset condition is that the reference signal receiving power of the nth cell contained in the sampling points in the mth cell is larger than or equal to a third preset value.
Specifically, if the total number of the current cells is i, a downlink interference matrix D may be constructedi×iAnd taking the weak coverage sampling point ratio of each cell as an element of a diagonal line in the downlink interference matrix, namely taking the weak coverage sampling point ratio of the kth cell as an element of the kth row and the kth column in the downlink interference matrix.
For the non-diagonal elements in the downlink interference matrix, using the downlink interference coefficient of each cell to another cell as the non-diagonal elements, wherein the downlink interference coefficient of the nth cell to the mth cell is used as the nth row element in the downlink interference matrix, the downlink interference coefficient of the nth cell to the mth cell is the ratio of the number of interference sampling points in the mth cell to the total number of sampling points in the mth cell, and the interference sampling points in the mth cell are the sampling points in the mth cell, which meet the first preset condition and the second preset condition; the user terminal registers under the mth cell and takes the mth cell as a service cell, if the terminal also measures the signal of the nth cell at the moment, the terminal reports the measurement information to the mth cell, not only the information of the mth cell but also the measured information of the nth cell are included, and when the interference degree of the nth cell to the mth cell is evaluated, the information of the nth cell included in the sampling point of the mth cell can be utilized; the first preset condition is that a difference between Reference Signal Received Power (RSRP) of an mth cell included in a sampling point of the mth cell and reference signal received power of an nth cell is less than or equal to a second preset value, and the second preset condition is that the reference signal received power of the nth cell included in the sampling point of the mth cell is greater than or equal to a third preset value, wherein the second preset value can be 6dBm, and the third preset value can be-110 dBm. The downlink interference matrix can be expressed by the following formula:
wherein, ck(k 1,2,3, …, i) is the weak coverage sampling point fraction of the kth cell, dm,n(m ═ 1,2,3, …, i; n ≠ 1,2,3, …, i; and m ≠ n) is the downlink interference coefficient of the nth cell to the mth cell.
If it is a single data source, ckAnd dm,nAnd can be directly used as an element in the downlink interference matrix; if the data sources are multiple, each data source needs to be calculated to obtain the respective ckAnd dm,nAnd then, weighting, adding and combining according to the weight factors, and taking the weighted sum as an element in a downlink interference matrix, wherein the sum of the weight factors of all data sources is 1.
In the embodiment, the weak coverage sampling point occupation is fused in the downlink interference matrix, so that the coverage condition of the cell in the network can be analyzed through the downlink interference matrix, and each element in the matrix is arranged in a specific mode, so that the network is more intuitive when the downlink interference matrix is used for analyzing the network, and the required result is more easily analyzed.
Based on the above embodiment, the method for constructing the uplink interference matrix includes: acquiring a high interference sampling point ratio of each cell, and taking the high interference sampling point ratio of a kth cell as an element of a kth row and a kth column in an uplink interference matrix, wherein k is a positive integer, the high interference sampling point ratio of any cell is the ratio of the number of high interference sampling points in any cell to the total number of sampling points in any cell, and the high interference sampling points are sampling points with received interference power larger than a fourth preset value; and acquiring an uplink interference coefficient of the nth cell to the mth cell, and taking the uplink interference coefficient of the nth cell to the mth cell as an element of the nth row and the nth column in an uplink interference matrix, wherein m and n are unequal positive integers, and the uplink interference coefficient of the nth cell to the mth cell is the sum of uplink receiving power of the nth cell contained in each sampling point in the mth cell.
Specifically, if the total number of the current cells is i, an uplink interference matrix U may be constructedi×iTaking the high interference sampling point occupation ratio of each cell as an element of a diagonal line in the uplink interference matrix, namely taking the weak coverage sampling point occupation ratio of a kth cell as an element of a kth row and a kth column in the uplink interference matrix; the high interference sampling point proportion of the cell is the ratio of the number of the high interference sampling points in the cell to the total number of the sampling points in the cell, and the high interference sampling points are sampling points with the received interference power larger than a fourth preset value.
For the non-diagonal elements in the uplink interference matrix, using the uplink interference coefficient of each cell to another cell as the non-diagonal elements,
and the uplink interference coefficient of the nth cell to the mth cell is the sum of the uplink receiving power of the nth cell contained in each sampling point in the mth cell. The user terminal registers to the nth cell and uses the nth cell as the service cell, if the mth cell measures the signal of the terminal in the nth cell, such as the uplink received power RRBThen n cells are considered to have uplink interference to the mth cell, so the above R can be usedRBThe sum is used as the uplink interference degree of the nth cell to the mth cell, and a threshold value can be defined at the same time, and R isRBIf the threshold value is larger than the threshold value, the interference is judged, and the threshold value can be adjusted according to the actual situation. The uplink interference coefficient of the nth cell to the mth cell can be expressed as:
wherein, deltajAnd taking 0 or 1 according to the threshold value.
The uplink received power can be formulated as:
wherein, PMAXThe maximum transmission power of the terminal is PHR, the transmission power margin of the terminal is PRBNum, the number of PRBs in the uplink of the terminal is PRBm, and the uplink loss is LS.
PMAXThe PHR and the PRBNum may be obtained from the reported terminal, and the PHR and the PRBNum may be obtained from the field of the reported sampling point.
The downlink path loss of the terminal in the cell is the difference value between the downlink transmitting power P and the terminal reference signal receiving power RSRP, the downlink transmitting power P can be obtained from the configuration parameters of each base station, and the uplink path loss LS of the terminal in the cell can also obtain the calculated value according to the reciprocity of uplink and downlink channels.
The uplink interference matrix can be formulated as:
wherein e isk(k 1,2,3, …, i) is the high interference sample fraction of the kth cell, um,n(m ═ 1,2,3, …, i; n ≠ 1,2,3, …, i; and m ≠ n) is an uplink interference coefficient of the nth cell to the mth cell.
If it is a single data source, ekAnd um,nAnd can be directly used as an element in the uplink interference matrix; if the data sources are multiple, each data source needs to be calculated to obtain a respective ekAnd um,nAnd then, weighting, adding and combining according to the weight factors, and taking the combined result as an element in an uplink interference matrix, wherein the sum of the weight factors of all data sources is 1.
In the embodiment, each element in the matrix is arranged in a specific way, so that the network is more intuitive when the downlink interference matrix is used for analyzing the network, and a required result is more easily analyzed.
Based on the above embodiment, the acquiring step of the first cell set includes: summing the designated elements of each column in the downlink interference matrix to obtain a first sum value corresponding to each column, wherein the designated elements of each column are elements which are not positioned on the diagonal line of the downlink interference matrix in all the elements of each column; arranging all the first sum values in a descending order, and selecting a first preset number of first sum values; and determining the cells in the first cell set according to the column corresponding to each first sum value in the first preset number of first sum values. The step of acquiring the second set of cells comprises: summing the designated elements of each row in the downlink interference matrix to obtain a second sum value corresponding to each row, wherein the designated elements of each row are elements which are not positioned on the diagonal line of the downlink interference matrix in all the elements of each row; arranging all the second sum values in a descending order, and selecting a second sum value with a first preset number; and determining the cells in the second cell set according to the row corresponding to each second sum value in the second preset number of second sum values.
Specifically, in the downlink interference matrix constructed by the above method, except for diagonal elements in the downlink interference matrix, each row of elements in the downlink interference matrix represents downlink interference degree of a certain cell to other cells, all elements in each row except for diagonal elements in the downlink interference matrix are added to obtain the overall downlink interference degree of the certain cell to all cells, which can indicate downlink interference degree of the certain cell to the whole network, and a set formed by a first preset number of cells with the largest downlink interference degree is taken as a first cell set; except for diagonal elements in the downlink interference matrix, elements in each row in the downlink interference matrix represent downlink interference degree of other cells to a certain cell, all the elements in each row except the diagonal elements in the downlink interference matrix are added to obtain the overall downlink interference degree of all the cells to the certain cell, the downlink interference degree of the whole network to the certain cell can be shown, and a set formed by a second preset number of cells with the maximum downlink interference degree is taken as a second cell set; through the above statistical analysis, some cells with the largest downlink interference degree and some cells with the largest downlink interference with other cells can be selected, and the interference source cell and the interference target cell are easier to analyze from the selected cells.
Based on the above embodiment, the step of acquiring the third cell set includes: summing the designated elements of each column in the uplink interference matrix to obtain a third sum corresponding to each column, wherein the designated elements of each column are elements which are not positioned on the diagonal line of the uplink interference matrix in all the elements of each column; arranging all the third sum values in a descending order, and selecting a first third preset number of third sum values; and determining the cells in the third cell set according to the column corresponding to each third sum value in the third preset number of third sum values. The step of acquiring the fourth set of cells comprises: summing the designated elements of each row in the uplink interference matrix to obtain a fourth sum corresponding to each row, wherein the designated elements of each row are elements which are not positioned on the diagonal line of the uplink interference matrix in all the elements of each row; all the fourth sum values are arranged from large to small, and a fourth preset number of fourth sum values are selected; and determining the cells in the fourth cell set according to the row corresponding to each fourth sum value in the fourth preset number of fourth sum values.
Specifically, in the uplink interference matrix constructed by the above method, except for diagonal elements in the uplink interference matrix, each row of elements in the uplink interference matrix represents the uplink interference degree of a certain cell to other cells, all elements in each row except for diagonal elements in the uplink interference matrix are added to obtain the overall uplink interference degree of the certain cell to all cells, which can indicate the uplink interference degree of the certain cell to the whole network, and a set formed by a third preset number of cells with the maximum uplink interference degree is taken as a third cell set; except for diagonal elements in the uplink interference matrix, elements in each row in the uplink interference matrix represent uplink interference degrees of other cells to a certain cell, all the elements in each row except the diagonal elements in the uplink interference matrix are added to obtain the overall uplink interference degree of all the cells to the certain cell, the uplink interference degree of the whole network to the certain cell can be shown, and a set formed by a fourth preset number of cells with the maximum uplink interference degree is taken as a fourth cell set; through the above statistical analysis, some cells with the maximum uplink interference degree and some cells with the maximum uplink interference to other cells can be selected, and the interference source cell and the interference target cell can be more easily analyzed from the selected cells.
Based on the above embodiment, the following analysis can be performed through the constructed downlink interference matrix and uplink interference matrix:
(1) and (3) downlink coverage evaluation of each cell: the weak coverage sampling point ratio indicates the degree of weak coverage in the cell, and the smaller the weak coverage sampling point ratio is, the better the downlink coverage performance of the cell is;
(2) and (3) uplink coverage evaluation of each cell: the high interference sampling point ratio represents the signal-to-noise ratio level of the cell uplink coverage, and the larger the high interference sampling point ratio is, the larger the signal-to-noise ratio is;
(3) and (3) evaluating the overlapping coverage condition of each cell (interfered by other cells): a) in the comprehensive downlink coverage interference matrix, row summation is performed on non-diagonal elements to obtain the overlapping coverage of the cell (overlapping coverage severity: prime); b) traversing the element of a certain row, if the element is greater than a certain threshold (for example, 5%), then adding one to the overlapping coverage cell count of the cell corresponding to the row, and finally obtaining the overlapping coverage cell number of the cell corresponding to the row (overlapping coverage prevalence: amount);
(4) each cell over-coverage condition assessment (interfering with other cell conditions): a) in the comprehensive downlink coverage interference matrix, column summation is performed on non-diagonal elements to obtain the over coverage of the cell (over coverage severity: prime); b) traversing a certain column of elements, if the element is greater than a certain threshold (e.g. 3%), then the count of the cells affected by the over coverage of the cell corresponding to the column is increased by one, and finally the number of the cells affected by the over coverage of the cell corresponding to the column is obtained (prevalence degree of over coverage: amount);
(5) and (3) evaluating the uplink interference situation of the terminal in each cell to other cells: a) in the comprehensive uplink coverage interference matrix, row summation is carried out on non-diagonal elements to obtain the interference degree (interference severity degree) of the terminal registered to the cell to other cells; b) traversing the elements of a certain row, if the elements are larger than a certain threshold, the interference degree of the terminal of the cell corresponding to the row reaches the required optimization degree, and the uplink interference cell count of the cell corresponding to the row is increased by one, so as to finally obtain the uplink interference cell number (interference prevalence degree) of the cell corresponding to the row;
(6) and each cell receives uplink interference situation evaluation of terminals in other cells: a) in the comprehensive uplink coverage interference matrix, row summation is carried out on non-diagonal elements to obtain the interference degree (interference severity degree) of the terminal of other cells to the cell; b) traversing a certain column of elements, if the elements are greater than a certain threshold, the interference degree of the terminal of the cell corresponding to the column reaches the required optimization degree, the count of the uplink interference source cell of the cell corresponding to the column is increased by one, and finally the number of the uplink interference source cells (interference prevalence degree) of the cell corresponding to the column is obtained.
The worse index in the index items is the index of the network structure short board which affects the area network, and the optimization and adjustment can be carried out according to the evaluation result.
As another embodiment of the present invention, an apparatus for optimizing and analyzing an LTE network structure is provided, including: at least one processor; and at least one memory communicatively coupled to the processor, wherein: the memory stores program instructions executable by the processor, the processor calls the program instructions to perform the methods provided by the method embodiments, for example, including: constructing a downlink interference matrix, and constructing an uplink interference matrix, wherein elements in the downlink interference matrix comprise the weak coverage sampling point occupation ratio of each cell, the weak coverage sampling point occupation ratio of any cell is the ratio of the number of the weak coverage sampling points in any cell to the total number of the sampling points in any cell, and the weak coverage sampling points are sampling points with reference signal receiving power smaller than a first preset value; acquiring the weak coverage degree of each cell, a first cell set and a second cell set based on the downlink interference matrix, wherein the first cell set is a set formed by cells with the largest downlink interference to all the cells and the first preset number, and the second cell set is a set formed by cells with the largest downlink interference to all the cells and the second preset number; acquiring a third cell set and a fourth cell set based on the uplink interference matrix, wherein the third cell set is a set formed by cells with the maximum uplink interference to all the cells by a third preset number, and the fourth cell set is a set formed by cells with the maximum uplink interference to all the cells by a fourth preset number; and determining an interference source cell and an interference target cell based on the weak coverage degree of each cell, the first cell set, the second cell set, the third cell set and the fourth cell set, and making an optimization strategy according to the interference source cell and the interference target cell.
As yet another embodiment of the present invention, there is provided a computer program product comprising a computer program stored on a non-transitory computer-readable storage medium, the computer program comprising program instructions which, when executed by a computer, enable the computer to perform the methods provided by the above-described method embodiments, for example, including: constructing a downlink interference matrix, and constructing an uplink interference matrix, wherein elements in the downlink interference matrix comprise the weak coverage sampling point occupation ratio of each cell, the weak coverage sampling point occupation ratio of any cell is the ratio of the number of the weak coverage sampling points in any cell to the total number of the sampling points in any cell, and the weak coverage sampling points are sampling points with reference signal receiving power smaller than a first preset value; acquiring the weak coverage degree of each cell, a first cell set and a second cell set based on the downlink interference matrix, wherein the first cell set is a set formed by cells with the largest downlink interference to all the cells and the first preset number, and the second cell set is a set formed by cells with the largest downlink interference to all the cells and the second preset number; acquiring a third cell set and a fourth cell set based on the uplink interference matrix, wherein the third cell set is a set formed by cells with the maximum uplink interference to all the cells by a third preset number, and the fourth cell set is a set formed by cells with the maximum uplink interference to all the cells by a fourth preset number; and determining an interference source cell and an interference target cell based on the weak coverage degree of each cell, the first cell set, the second cell set, the third cell set and the fourth cell set, and making an optimization strategy according to the interference source cell and the interference target cell.
As yet another embodiment of the present invention, there is provided a non-transitory computer-readable storage medium storing a computer program that causes a computer to perform the methods provided by the above-described method embodiments, including, for example: constructing a downlink interference matrix, and constructing an uplink interference matrix, wherein elements in the downlink interference matrix comprise the weak coverage sampling point occupation ratio of each cell, the weak coverage sampling point occupation ratio of any cell is the ratio of the number of the weak coverage sampling points in any cell to the total number of the sampling points in any cell, and the weak coverage sampling points are sampling points with reference signal receiving power smaller than a first preset value; acquiring the weak coverage degree of each cell, a first cell set and a second cell set based on the downlink interference matrix, wherein the first cell set is a set formed by cells with the largest downlink interference to all the cells and the first preset number, and the second cell set is a set formed by cells with the largest downlink interference to all the cells and the second preset number; acquiring a third cell set and a fourth cell set based on the uplink interference matrix, wherein the third cell set is a set formed by cells with the maximum uplink interference to all the cells by a third preset number, and the fourth cell set is a set formed by cells with the maximum uplink interference to all the cells by a fourth preset number; and determining an interference source cell and an interference target cell based on the weak coverage degree of each cell, the first cell set, the second cell set, the third cell set and the fourth cell set, and making an optimization strategy according to the interference source cell and the interference target cell.
Those of ordinary skill in the art will understand that: all or part of the steps for implementing the method embodiments may be implemented by hardware related to computer program instructions, where the computer program may be stored in a computer readable storage medium, and when executed, the computer program performs the steps including the method embodiments; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, the description is as follows: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (8)
1. A method for optimizing and analyzing an LTE network structure is characterized by comprising the following steps:
constructing a downlink interference matrix, and constructing an uplink interference matrix, wherein elements in the downlink interference matrix comprise the weak coverage sampling point duty ratio of each cell, and for any cell, the weak coverage sampling point duty ratio of any cell is the ratio of the number of the weak coverage sampling points in any cell to the total number of the sampling points in any cell, and the weak coverage sampling points are sampling points with reference signal receiving power smaller than a first preset value;
the method for constructing the downlink interference matrix comprises the following steps:
if the total number of the current cells is i, determining that the downlink interference matrix is Di×i；
Determining the weak coverage sampling point ratio of the kth cell in the current cell as the downlink interference matrix Di×iElement c of the k-th row and the k-th columnkWherein k is a positive integer;
the nth cell in the current cell is divided into a plurality of cellsDetermining the downlink interference coefficient of the m cell as the downlink interference matrix Di×iM-th row and n-th column element dm,n；
Wherein m and n are unequal positive integers, and the element dm,nThe method comprises the steps that the ratio of the number of interference sampling points in an mth cell to the total number of sampling points in the mth cell is obtained, the interference sampling points in the mth cell are sampling points which meet a first preset condition and a second preset condition in the mth cell, the first preset condition is that the difference between the reference signal receiving power of the mth cell and the reference signal receiving power of an nth cell contained in the sampling points in the mth cell is smaller than or equal to a second preset value, and the second preset condition is that the reference signal receiving power of the nth cell contained in the sampling points in the mth cell is larger than or equal to a third preset value;
if the data source in the current cell is a single data source, the element c of each data source is usedkAnd element dm,nMerging to obtain the downlink interference matrix Di×i；
If the data source in the current cell is a plurality of data sources, calculating the element c of each data sourcekAnd element dm,nThe element c after calculationkAnd element dm,nWeighted addition according to the weighting factor, and the element c after weighted additionkAnd element dm,nMerging to obtain the downlink interference matrix Di×iWherein the sum of the weight factors of all data sources in the current cell is 1;
the downlink interference matrix is expressed in formula form, such as Di×iShown in the figure:
acquiring the weak coverage degree of each cell, a first cell set and a second cell set based on the downlink interference matrix, wherein the first cell set is a set formed by cells with the largest downlink interference to all cells and the first preset number, and the second cell set is a set formed by cells with the largest downlink interference to all cells and the second preset number;
acquiring a third cell set and a fourth cell set based on the uplink interference matrix, wherein the third cell set is a set formed by cells with the maximum uplink interference to all the cells by a third preset number, and the fourth cell set is a set formed by cells with the maximum uplink interference to all the cells by a fourth preset number;
determining an interference source cell and an interference target cell based on the weak coverage degree of each cell, the first cell set, the second cell set, the third cell set and the fourth cell set, and making an optimization strategy according to the interference source cell and the interference target cell.
2. The method of claim 1, wherein the constructing the uplink interference matrix comprises:
acquiring a high interference sampling point occupation ratio of each cell, and taking the high interference sampling point occupation ratio of a kth cell as an element of a kth row and a kth column in the uplink interference matrix, wherein k is a positive integer, the high interference sampling point occupation ratio of any cell is a ratio of the number of high interference sampling points in any cell to the total number of sampling points in any cell, and the high interference sampling points are sampling points with received interference power larger than a fourth preset value;
and acquiring an uplink interference coefficient of the nth cell to the mth cell, and taking the uplink interference coefficient of the nth cell to the mth cell as an element of the nth row and the nth column in the uplink interference matrix, wherein m and n are unequal positive integers, and the uplink interference coefficient of the nth cell to the mth cell is the sum of uplink receiving power of the nth cell contained in each sampling point in the mth cell.
3. The method of claim 1, wherein the obtaining of the first set of cells comprises:
summing the designated elements of each column in the downlink interference matrix to obtain a first sum corresponding to each column, wherein the designated elements of each column are elements which are not positioned on the diagonal line of the downlink interference matrix in all the elements of each column;
arranging all the first sum values in a descending order, and selecting the first sum values of the first preset number;
and determining the cells in the first cell set according to the column corresponding to each first sum value in the first preset number of first sum values.
4. The method of claim 1, wherein the obtaining of the second set of cells comprises:
summing the designated elements of each row in the downlink interference matrix to obtain a second sum corresponding to each row, wherein the designated elements of each row are elements which are not positioned on the diagonal line of the downlink interference matrix in all the elements of each row;
arranging all the second sum values in a descending order, and selecting the second sum values of the first preset number;
and determining the cells in the second cell set according to the row corresponding to each second sum value in the second preset number of second sum values.
5. The method of claim 2, wherein the step of acquiring the third set of cells comprises:
summing the specified elements of each column in the uplink interference matrix to obtain a third sum corresponding to each column, wherein the specified elements of each column are elements which are not positioned on the diagonal line of the uplink interference matrix in all the elements of each column;
all the third sum values are arranged from large to small, and the third sum values of the third preset number are selected;
and determining the cells in the third cell set according to the column corresponding to each third sum value in the third preset number of third sum values.
6. The method of claim 2, wherein the step of acquiring the fourth set of cells comprises:
summing the designated elements of each row in the uplink interference matrix to obtain a fourth sum corresponding to each row, wherein the designated elements of each row are elements which are not positioned on the diagonal line of the uplink interference matrix in all the elements of each row;
all the fourth sum values are arranged from large to small, and the fourth sum values of the fourth preset number are selected;
and determining the cells in the fourth cell set according to the row corresponding to each fourth sum value in the fourth preset number of fourth sum values.
7. An apparatus for optimizing and analyzing an LTE network structure, comprising:
at least one processor; and at least one memory communicatively coupled to the processor, wherein:
the memory stores program instructions executable by the processor, the processor calling the program instructions to perform the method of any of claims 1 to 6.
8. A non-transitory computer-readable storage medium storing a computer program that causes a computer to perform the method according to any one of claims 1 to 6.
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