CN113382436B - Inter-cell interference detection method and device - Google Patents
Inter-cell interference detection method and device Download PDFInfo
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Abstract
The embodiment of the invention provides a method and a device for detecting inter-cell interference, wherein the method comprises the following steps: determining an interference coefficient of the cell i to the adjacent cell j of the cell i based on the target direction correlation coefficient and/or the target distance correlation coefficient and the target coverage correlation coefficient; and determining the interference degree of the cell i to the adjacent cell j according to the interference coefficient of the cell i to the adjacent cell j. The method and the device for detecting the inter-cell interference provided by the embodiment of the invention can accurately and comprehensively evaluate the interference condition between each cell by adding the distance correlation coefficient and/or the direction correlation coefficient on the basis of covering the correlation coefficient.
Description
Technical Field
The present invention relates to the field of mobile communications technologies, and in particular, to a method and an apparatus for detecting inter-cell interference.
Background
The detection of the inter-cell interference is important for network optimization, and the cell which has the greatest harm to the network and the strongest interference degree is determined through the detection of the inter-cell interference so as to take interference suppression measures in time to improve the communication efficiency of the network.
In the prior art, interference between downlink cells of a system is mainly determined through a Measurement Report (MRO), specifically, a coverage correlation coefficient between any two cells is calculated through MRO data, and the interference degree between the two cells is measured through the coverage correlation coefficient.
The coverage correlation coefficient between the neighboring cell i and the cell is defined as: the absolute value of the difference between the Reference Signal Receiving Power (RSRP) of the neighboring cell i and the RSRP of the cell is greater than the number of NdB samples/the total number of NdB samples (N may be adjusted according to actual conditions).
However, in practical application, the environment is complex, downlink interference between two cells is evaluated according to the RSRP strength in MRO in the existing scheme, and the level difference and the number of sampling points are considered, so that the inter-cell interference detection result is not accurate.
Disclosure of Invention
The embodiment of the invention provides a method and a device for detecting inter-cell interference, which are used for solving the technical problems in the prior art.
In order to solve the foregoing technical problem, in one aspect, an embodiment of the present invention provides a method for detecting inter-cell interference, including:
determining an interference coefficient of the cell i to the adjacent cell j of the cell i based on the target direction correlation coefficient and/or the target distance correlation coefficient and the target coverage correlation coefficient; the target direction correlation coefficient is a direction correlation coefficient between a cell i and an adjacent cell j, and the direction correlation coefficient is used for representing the influence of direction angles of two adjacent cells on interference between the cells; the target distance correlation coefficient is a distance correlation coefficient between the cell i and the adjacent cell j, and the distance correlation coefficient is used for representing the influence of the distance between two adjacent cells on the interference between the cells; the target coverage correlation coefficient is a coverage correlation coefficient between a cell i and a neighboring cell j;
and determining the interference degree of the cell i to the adjacent cell j according to the interference coefficient of the cell i to the adjacent cell j.
Further, after determining the interference coefficient of the cell i to the neighboring cell j, the method further includes:
and determining the interference degree of the cell i to the whole network according to the interference coefficients of the cell i to all the adjacent cells.
Further, when determining the interference coefficient of the cell i to its neighboring cell j based on the target direction correlation coefficient and the target coverage correlation coefficient, the method further includes:
and acquiring the target direction correlation coefficient.
Further, when determining the interference coefficient of the cell i to its neighboring cell j based on the target distance correlation coefficient and the target coverage correlation coefficient, the method further includes:
and acquiring the target distance correlation coefficient.
Further, when determining the interference coefficient of the cell i to its neighboring cell j based on the target direction correlation coefficient, the target distance correlation coefficient, and the target coverage correlation coefficient, the method further includes:
and respectively acquiring the target direction correlation coefficient and the target distance correlation coefficient.
Further, the obtaining the target direction correlation coefficient specifically includes:
acquiring a direction code value of a cell i and a direction code value of a neighboring cell j, wherein the direction code value of the cell i is a code value of an umbrella zone in which a direction angle of the cell i is located, the direction code value of the neighboring cell j is a preset code value of the umbrella zone in which the direction angle of the neighboring cell j is located, a plane in which the cell i is located is pre-divided into a plurality of umbrella zones with equal size, and a plane in which the neighboring cell j is located is also pre-divided into the same number of umbrella zones with equal size;
and determining the target direction correlation coefficient based on the direction code value of the cell i and the direction code value of the adjacent cell j.
Further, the obtaining the target distance correlation coefficient specifically includes:
acquiring the distance between a cell i and an adjacent cell j thereof and the average station spacing of the adjacent cell j;
and determining the target distance correlation coefficient according to the distance between the cell i and the adjacent cell j and the average station spacing of the adjacent cell j.
In another aspect, an embodiment of the present invention provides an inter-cell interference detection apparatus, including:
the interference coefficient determining module is used for determining the interference coefficient of the cell i to the adjacent cell j based on the target direction correlation coefficient and/or the target distance correlation coefficient and the target coverage correlation coefficient; the target direction correlation coefficient is a direction correlation coefficient between a cell i and an adjacent cell j, and the direction correlation coefficient is used for representing the influence of direction angles of two adjacent cells on interference between the cells; the target distance correlation coefficient is a distance correlation coefficient between the cell i and the adjacent cell j, and the distance correlation coefficient is used for representing the influence of the distance between two adjacent cells on the interference between the cells; the target coverage correlation coefficient is a coverage correlation coefficient between a cell i and a neighboring cell j;
and the interference degree determining module is used for determining the interference degree of the cell i to the adjacent cell j according to the interference coefficient of the cell i to the adjacent cell j.
In another aspect, an embodiment of the present invention provides an electronic device, including: a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method provided by the first aspect when executing the computer program.
In yet another aspect, an embodiment of the present invention provides a non-transitory computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements the steps of the method provided in the first aspect.
The method and the device for detecting the inter-cell interference provided by the embodiment of the invention can accurately and comprehensively evaluate the interference condition between each cell by adding the distance correlation coefficient and/or the direction correlation coefficient on the basis of covering the correlation coefficient.
Drawings
Fig. 1 is a schematic diagram of an inter-cell interference detection method according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a directional coding principle of a cell according to an embodiment of the present invention;
fig. 3 is a schematic diagram illustrating a principle of calculating an average inter-site distance of a cell according to an embodiment of the present invention;
fig. 4 is a schematic diagram of an inter-cell interference detection apparatus according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the 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 of the present invention without making any creative effort, shall fall within the protection scope of the present invention.
In the prior art, based on the location distribution of cells, according to the level difference between a main cell and an adjacent cell and the number of sampling points in an MRO reported by a terminal UE, a coverage correlation coefficient between any two cells is calculated by combining the distance between adjacent cells, and the interference situation of a cell to other cells in a network and the interference situation of other cells in the network are measured according to the coverage correlation coefficient.
However, in practice, as the directions and distances of cells are different, neighboring cells with the same correlation have different harms and interference degrees to the network, and the existing technical solution cannot further accurately represent the interference degree between the cells.
Aiming at the technical problem, the embodiment of the invention solves the technical problem of inaccurate inter-cell interference by adding the distance correlation coefficient and/or the direction correlation coefficient on the basis of the coverage correlation coefficient.
Fig. 1 is a schematic diagram of an inter-cell interference detection method according to an embodiment of the present invention, and as shown in fig. 1, an embodiment of the present invention provides an inter-cell interference detection method whose main implementation body is an inter-cell interference detection apparatus. The method comprises the following steps:
step S101, determining an interference coefficient of a cell i to a neighboring cell j of the cell i based on a target direction correlation coefficient and/or a target distance correlation coefficient and a target coverage correlation coefficient; the target direction correlation coefficient is a direction correlation coefficient between a cell i and an adjacent cell j, and the direction correlation coefficient is used for representing the influence of direction angles of two adjacent cells on interference between the cells; the target distance correlation coefficient is a distance correlation coefficient between a cell i and an adjacent cell j, and the distance correlation coefficient is used for representing the influence of the distance between two adjacent cells on the interference between the cells; the target coverage correlation coefficient is a coverage correlation coefficient between the cell i and the adjacent cell j.
Specifically, in the embodiment of the present invention, the interference degree of the cell to the target object is measured by using the interference coefficient. For example, the interference coefficient of the cell i to the neighboring cell j is used to measure the interference degree of the cell i to the neighboring cell j, and the interference coefficient of the cell i to the entire network is used to measure the interference degree of the cell i to the entire network.
When determining the interference degree of the cell i to the neighboring cell j, firstly, the interference coefficient of the cell i to the neighboring cell j is determined by combining the direction correlation coefficient and/or the distance correlation coefficient between the cell i and the neighboring cell j on the basis of the coverage correlation coefficient between the cell i and the neighboring cell j.
For example, the interference coefficient may be determined from the coverage correlation coefficient in combination with the directional correlation coefficient. The calculation formula is as follows:
P ij ＝ρ covering ×ρ Direction
Wherein, P ij Interference coefficient rho of cell i to its adjacent cell j Covering Coverage correlation coefficient, rho, between cell i and its neighbor j Direction The direction correlation coefficient between the cell i and its adjacent cell j.
The interference coefficient can also be determined according to the coverage correlation coefficient and the distance correlation coefficient. The calculation formula is as follows:
P ij ＝ρ covering ×ρ Distance between two adjacent plates
Wherein, P ij Interference coefficient rho of cell i to its adjacent cell j Covering Coverage correlation coefficient, rho, between cell i and its neighbor j Distance between two adjacent plates Distance phase between cell i and its adjacent cell jAnd (4) a correlation coefficient.
And determining an interference coefficient according to the coverage correlation coefficient and the direction correlation coefficient and the distance correlation coefficient. The calculation formula is as follows:
P ij ＝ρ covering ×ρ Direction ×ρ Distance between two adjacent plates
Wherein, P ij Interference coefficient rho of cell i to its neighbor j Covering Coverage correlation coefficient, rho, between cell i and its neighbor j Direction The directional correlation coefficient, rho, between cell i and its neighbor j Distance between two adjacent plates The distance correlation coefficient between the cell i and the adjacent cell j.
The coverage correlation coefficient can be directly obtained according to the existing algorithm. For example, the coverage correlation coefficient between a cell i and its neighboring cell j is defined as: the absolute value of the difference between the RSRP received signal code power of the adjacent region j and the RSRP received signal code power of the cell i is larger than the number of NdB sampling points/the total number of the cell i sampling points (N can be adjusted according to actual conditions).
The directional correlation coefficient is used for representing the influence of the directional angle of two adjacent cells on the interference between the cells. The distance correlation coefficient is used for characterizing the influence of the distance between two adjacent cells on the interference between the cells.
And step S102, determining the interference degree of the cell i to the adjacent cell j according to the interference coefficient of the cell i to the adjacent cell j.
Specifically, after determining the interference coefficient of the cell i to the neighboring cell j, the interference degree of the cell i to the neighboring cell j may be determined according to the interference coefficient of the cell i to the neighboring cell j, where the larger the interference coefficient value is, the larger the representation interference degree is, and conversely, the smaller the interference coefficient value is, the smaller the representation interference degree is.
The inter-cell interference detection method provided by the embodiment of the invention can accurately and comprehensively evaluate the interference condition between each cell by adding the distance correlation coefficient and/or the direction correlation coefficient on the basis of the coverage correlation coefficient.
Based on any of the above embodiments, further, after determining the interference coefficient of the cell i to the neighboring cell j, the method further includes:
and determining the interference degree of the cell i to the whole network according to the interference coefficients of the cell i to all the adjacent cells.
Specifically, in the embodiment of the present invention, after determining the interference coefficient of the cell i to its neighboring cell j, the interference coefficients of the cell i to each of the other neighboring cells are determined one by one.
And then determining the interference degree of the cell i to the whole network according to the interference coefficients of the cell i to all the adjacent cells.
The method for calculating the interference coefficient of the cell i to the whole network comprises the following steps:
wherein, P i Interference coefficient, P, for cell i to the entire network ij Is the interference coefficient, osover, of the cell i to its neighbor j j Is the overlapping coverage of the adjacent cell j, and n is the number of the adjacent cells of the cell i.
Through calculation and analysis of the interference coefficient of the whole network by a single cell, the cell with larger interference and needing preferential adjustment in the whole network can be obtained. Thus, a complete set of analysis methods is established from the micro cells to the macro network as a whole.
The inter-cell interference detection method provided by the embodiment of the invention can accurately and comprehensively evaluate the interference condition between each cell by adding the distance correlation coefficient and/or the direction correlation coefficient on the basis of the coverage correlation coefficient.
Based on any of the above embodiments, further, when determining an interference coefficient of the cell i to its neighboring cell j based on the target direction correlation coefficient and the target coverage correlation coefficient, the method further includes:
and acquiring the target direction correlation coefficient.
Specifically, in the embodiment of the present invention, when determining the interference coefficient of the cell i to the neighboring cell j based on the target direction correlation coefficient and the target coverage correlation coefficient, before determining the interference coefficient of the cell i to the neighboring cell j, the method further includes obtaining the direction correlation coefficient of the cell i to the neighboring cell j.
For example, a direction code value of a cell i and a direction code value of a neighboring cell j may be obtained first, where the direction code value of the cell i is a code value of an umbrella area where a direction angle of the cell i is located, the direction code value of the neighboring cell j is a preset code value of the umbrella area where the direction angle of the neighboring cell j is located, a plane where the cell i is located is pre-divided into a plurality of umbrella areas with equal size, and a plane where the neighboring cell j is located is also pre-divided into the same number of umbrella areas with equal size. Then, based on the direction code value of the cell i and the direction code value of the adjacent cell j, the direction correlation coefficient of the cell i to the adjacent cell j is determined.
The inter-cell interference detection method provided by the embodiment of the invention can accurately and comprehensively evaluate the interference condition between each cell by adding the distance correlation coefficient and/or the direction correlation coefficient on the basis of the coverage correlation coefficient.
Based on any of the above embodiments, further, when determining an interference coefficient of the cell i to the neighboring cell j thereof based on the target distance correlation coefficient and the target coverage correlation coefficient, the method further includes:
and acquiring the target distance correlation coefficient.
Specifically, in the embodiment of the present invention, when determining the interference coefficient of the cell i to the neighboring cell j based on the target distance correlation coefficient and the target coverage correlation coefficient, before determining the interference coefficient of the cell i to the neighboring cell j, the method further includes obtaining the distance correlation coefficient of the cell i to the neighboring cell j.
For example, the distance between the cell i and its neighboring cell j and the average inter-site distance of the neighboring cell j may be obtained first. And then, determining the distance correlation coefficient of the cell i to the adjacent cell j according to the distance between the cell i and the adjacent cell j and the average station spacing of the adjacent cell j.
The inter-cell interference detection method provided by the embodiment of the invention can accurately and comprehensively evaluate the interference condition between each cell by adding the distance correlation coefficient and/or the direction correlation coefficient on the basis of the coverage correlation coefficient.
Based on any of the above embodiments, further, when determining an interference coefficient of the cell i to its neighboring cell j based on the target direction correlation coefficient, the target distance correlation coefficient, and the target coverage correlation coefficient, the method further includes:
and respectively acquiring the target direction correlation coefficient and the target distance correlation coefficient.
Specifically, in the embodiment of the present invention, when determining the interference coefficient of the cell i to the neighboring cell j based on the target direction correlation coefficient, the target distance correlation coefficient, and the target coverage correlation coefficient, before determining the interference coefficient of the cell i to the neighboring cell j, the method further includes obtaining the direction correlation coefficient of the cell i to the neighboring cell j and the distance correlation coefficient of the cell i to the neighboring cell j.
The inter-cell interference detection method provided by the embodiment of the invention can accurately and comprehensively evaluate the interference condition between each cell by adding the distance correlation coefficient and/or the direction correlation coefficient on the basis of the coverage correlation coefficient.
Based on any one of the above embodiments, further, the obtaining the target direction correlation coefficient specifically includes:
acquiring a direction code value of a cell i and a direction code value of a neighboring cell j, wherein the direction code value of the cell i is a code value of an umbrella zone in which a direction angle of the cell i is located, the direction code value of the neighboring cell j is a preset code value of the umbrella zone in which the direction angle of the neighboring cell j is located, a plane in which the cell i is located is pre-divided into a plurality of umbrella zones with equal size, and a plane in which the neighboring cell j is located is also pre-divided into the same number of umbrella zones with equal size;
and determining the target direction correlation coefficient based on the direction code value of the cell i and the direction code value of the adjacent cell j.
Specifically, in the embodiment of the present invention, the directional correlation coefficient between the cell i and its neighboring cell j is obtained by the following method.
Fig. 2 is a schematic diagram illustrating a directional coding principle of a cell according to an embodiment of the present invention, and as shown in fig. 2, a 360-degree range of a plane where the cell is located is first divided into a plurality of umbrella areas with equal sizes, and the umbrella areas are coded.
Since the half-power angle of most of the current macro-station antennas is 65 degrees, in order to reduce the influence of inaccurate working parameters, the 360-degree range of each cell is divided into 6 fan-shaped areas of 60 degrees in fig. 2, the appearance of each area is similar to that of a common umbrella, and each area is called an umbrella area. Meanwhile, an umbrella area where a connecting line (a dotted line in the figure) between a pair of cells is located is used as a main umbrella area, each umbrella area is coded according to a clockwise or anticlockwise sequence, and the coded values are 2, 1, -2, -1 and 1 in sequence.
Then, the direction code value N of the cell i is respectively judged i And the directional code value N of cell j j . The direction code value of the cell i is the code value of the umbrella zone where the direction angle of the cell i is located, and the direction code value of the adjacent cell j is the preset code value of the umbrella zone where the direction angle of the adjacent cell j is located.
As shown in fig. 2, the umbrella code value for the directional angle of cell i (indicated by the dashed arrow in the figure) is 2, and the umbrella code value for the directional angle of cell j (indicated by the solid arrow in the figure) is 2.
Then, the value N is coded according to the direction of the cell i i And the direction code value N of cell j j And judging the interference influence relationship between the two cells.
As shown in FIG. 2, when N is i <0，N j <At 0, the two cells face away from each other, and at this time, the two cells are not considered to have mutual interference influence under the condition of not considering factors such as scattering and the like. At the same time according to N i ，N j In contrast, the mutual interference relationship between cell i and cell j can be determined as follows:
and finally, determining a target direction correlation coefficient based on the direction code value of the cell i and the direction code value of the adjacent cell j. The calculation formula is as follows:
where ρ is Direction Is the directional correlation coefficient between cell i and cell j, N i For the direction code value, N, of cell i j Is the direction code value of cell j, and alpha is the direction of cell iAnd the direction factor beta is the direction factor of the cell j, and both alpha and beta are greater than 0 and less than 0.5.
The inter-cell interference detection method provided by the embodiment of the invention can accurately and comprehensively evaluate the interference condition between each cell by adding the distance correlation coefficient and/or the direction correlation coefficient on the basis of the coverage correlation coefficient.
Based on any one of the above embodiments, further, the obtaining the target distance correlation coefficient specifically includes:
acquiring the distance between a cell i and an adjacent cell j thereof and the average station spacing of the adjacent cell j;
and determining the target distance correlation coefficient according to the distance between the cell i and the adjacent cell j and the average station spacing of the adjacent cell j.
Specifically, in the embodiment of the present invention, the distance correlation coefficient between the cell i and the neighboring cell j thereof is obtained by the following method.
The distance correlation coefficient is used for representing the influence of the distance between two adjacent cells on the interference between the cells, and the closer the distance between the two cells is, the more possible the two cells have a normal coverage overlapping relationship, and the smaller the distance correlation coefficient is; conversely, the further the distance between two cells, the greater the distance correlation coefficient. The distance between two cells divided by the average inter-site distance of the primary coverage cell can be used as a distance correlation coefficient, and the calculation formula is as follows:
ρ distance between two adjacent plates ＝d ij /d j
Wherein ρ Distance between two adjacent plates Is the distance correlation coefficient between cell i and its adjacent cell j, d ij Is the distance between cell i and its neighbor j, d j Is the average inter-site distance of the neighboring cell j.
Fig. 3 is a schematic diagram illustrating a principle of calculating an average inter-site distance of a cell according to an embodiment of the present invention, where as shown in fig. 3, the average inter-site distance of the cell is calculated by using a direction angle method, and a cell sector is generated according to a cell azimuth, a search angle width (a search angle default is 120 degrees) and a maximum coverage distance of the cell, so as to obtain a base station in the sector; and acquiring 3 base stations with the closest distance according to the set search radius and the set step diameter, calculating the distance between the base stations and the target cell, and averaging to obtain the average inter-station distance of the target cell.
In practical application, some super-far cells cause a very high distance coefficient, which affects the interference cell influence evaluation of a single cell or the whole network proposed by the method, so that the order of magnitude of the distance coefficient and the order of magnitude of the direction coefficient need to be unified, and the influence of the distance increase of a cell far away from the influence of the distance increase of a nearby cell is considered to be large, so that an exponential function is introduced in the calculation of the distance coefficient to adjust the value range of the distance coefficient, and the modified specific formula is as follows:
wherein, ρ ″ Distance between two adjacent plates Is a correction value of the distance correlation coefficient between the cell i and its adjacent cell j, d ij Is the distance between cell i and its neighbor j, d j And a is the average station spacing of the adjacent region j and is a preset constant.
The inter-cell interference detection method provided by the embodiment of the invention can accurately and comprehensively evaluate the interference condition between each cell by adding the distance correlation coefficient and/or the direction correlation coefficient on the basis of the coverage correlation coefficient.
Based on any of the above embodiments, fig. 4 is a schematic diagram of an inter-cell interference detection apparatus provided in an embodiment of the present invention, and as shown in fig. 4, an embodiment of the present invention provides an inter-cell interference detection apparatus, which includes an interference coefficient determining module 401 and an interference degree determining module 402, where:
the interference coefficient determining module 401 is configured to determine an interference coefficient of the cell i to the neighboring cell j based on the target direction correlation coefficient and/or the target distance correlation coefficient, and the target coverage correlation coefficient; the target direction correlation coefficient is a direction correlation coefficient between a cell i and an adjacent cell j, and the direction correlation coefficient is used for representing the influence of direction angles of two adjacent cells on interference between the cells; the target distance correlation coefficient is a distance correlation coefficient between the cell i and the adjacent cell j, and the distance correlation coefficient is used for representing the influence of the distance between two adjacent cells on the interference between the cells; the target coverage correlation coefficient is a coverage correlation coefficient between a cell i and a neighboring cell j; the interference degree determining module 402 is configured to determine, according to an interference coefficient of the cell i to the neighboring cell j, an interference degree of the cell i to the neighboring cell j.
The embodiment of the present invention provides a power distribution cabinet operation state prediction apparatus, which is configured to execute the method described in any one of the above embodiments, and specific steps of executing the method described in one of the above embodiments by using the apparatus provided in this embodiment are the same as those in the corresponding embodiment described above, and are not described herein again.
The power distribution cabinet operation state prediction device provided by the embodiment of the invention combines machine learning and power distribution cabinet operation state prediction analysis, can effectively predict the power distribution cabinet operation state at a certain future moment and a period of time in the future, provides a reference basis for the health state evaluation of the power distribution cabinet, and ensures the reliability of power distribution cabinet equipment.
Fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present invention, and as shown in fig. 5, the electronic device includes: a processor (processor)501, a communication Interface (Communications Interface)502, a memory (memory)503, and a communication bus 504, wherein the processor 501, the communication Interface 502, and the memory 503 are configured to communicate with each other via the communication bus 504. The processor 501 and the memory 502 communicate with each other via a bus 503. The processor 501 may call logic instructions in the memory 503 to perform the following method:
determining an interference coefficient of the cell i to the adjacent cell j of the cell i based on the target direction correlation coefficient and/or the target distance correlation coefficient and the target coverage correlation coefficient; the target direction correlation coefficient is a direction correlation coefficient between a cell i and an adjacent cell j, and the direction correlation coefficient is used for representing the influence of direction angles of two adjacent cells on interference between the cells; the target distance correlation coefficient is a distance correlation coefficient between the cell i and the adjacent cell j, and the distance correlation coefficient is used for representing the influence of the distance between two adjacent cells on the interference between the cells; the target coverage correlation coefficient is a coverage correlation coefficient between a cell i and an adjacent cell j;
and determining the interference degree of the cell i to the adjacent cell j according to the interference coefficient of the cell i to the adjacent cell j.
In addition, the logic instructions in the memory may be implemented in the form of software functional units and may be stored in a computer readable storage medium when sold or used as a stand-alone product. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Further, embodiments of the present invention provide 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 steps of the above-described method embodiments, for example, including:
determining an interference coefficient of the cell i to the adjacent cell j of the cell i based on the target direction correlation coefficient and/or the target distance correlation coefficient and the target coverage correlation coefficient; the target direction correlation coefficient is a direction correlation coefficient between a cell i and an adjacent cell j, and the direction correlation coefficient is used for representing the influence of direction angles of two adjacent cells on interference between the cells; the target distance correlation coefficient is a distance correlation coefficient between the cell i and the adjacent cell j, and the distance correlation coefficient is used for representing the influence of the distance between two adjacent cells on the interference between the cells; the target coverage correlation coefficient is a coverage correlation coefficient between a cell i and a neighboring cell j;
and determining the interference degree of the cell i to the adjacent cell j according to the interference coefficient of the cell i to the adjacent cell j.
Further, an embodiment of the present invention provides a non-transitory computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the computer program implements the steps in the foregoing method embodiments, for example, including:
determining an interference coefficient of the cell i to the adjacent cell j of the cell i based on the target direction correlation coefficient and/or the target distance correlation coefficient and the target coverage correlation coefficient; the target direction correlation coefficient is a direction correlation coefficient between a cell i and an adjacent cell j, and the direction correlation coefficient is used for representing the influence of direction angles of two adjacent cells on inter-cell interference; the target distance correlation coefficient is a distance correlation coefficient between the cell i and the adjacent cell j, and the distance correlation coefficient is used for representing the influence of the distance between two adjacent cells on the interference between the cells; the target coverage correlation coefficient is a coverage correlation coefficient between a cell i and a neighboring cell j;
and determining the interference degree of the cell i to the adjacent cell j according to the interference coefficient of the cell i to the adjacent cell j.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
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, it should be noted that: 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 (7)
1. An inter-cell interference detection method, comprising:
determining an interference coefficient of the cell i to the adjacent cell j of the cell i based on the target direction correlation coefficient and the target coverage correlation coefficient or based on the target direction correlation coefficient, the target distance correlation coefficient and the target coverage correlation coefficient; the target direction correlation coefficient is a direction correlation coefficient between a cell i and an adjacent cell j, and the direction correlation coefficient is used for representing the influence of direction angles of two adjacent cells on interference between the cells; the target distance correlation coefficient is a distance correlation coefficient between the cell i and the adjacent cell j, and the distance correlation coefficient is used for representing the influence of the distance between two adjacent cells on the interference between the cells; the target coverage correlation coefficient is a coverage correlation coefficient between a cell i and a neighboring cell j;
determining the interference degree of the cell i to the adjacent cell j according to the interference coefficient of the cell i to the adjacent cell j;
obtaining the target direction correlation coefficient specifically includes:
acquiring a direction code value of a cell i and a direction code value of a neighboring cell j, wherein the direction code value of the cell i is a code value of an umbrella zone in which a direction angle of the cell i is positioned, the direction code value of the neighboring cell j is a preset code value of the umbrella zone in which the direction angle of the neighboring cell j is positioned, a plane in which the cell i is positioned is pre-divided into a plurality of umbrella zones with equal size, and a plane in which the neighboring cell j is positioned is also pre-divided into the same number of umbrella zones with equal size;
determining the target direction correlation coefficient based on the direction code value of the cell i and the direction code value of the adjacent cell j;
wherein, the calculation formula for determining the target direction correlation coefficient based on the direction code value of the cell i and the direction code value of the neighboring cell j is as follows:
where ρ is the directional correlation coefficient between cell i and cell j, N i For the direction code value, N, of cell i j Is the direction code value of the cell j, alpha is the direction factor of the cell i, beta is the direction factor of the cell j, and both alpha and beta are greater than 0 and less than 0.5.
2. The method of claim 1, wherein after determining the interference coefficient of the cell i to the neighboring cell j, the method further comprises:
and determining the interference degree of the cell i to the whole network according to the interference coefficients of the cell i to all the adjacent cells.
3. The method of claim 1, wherein when determining the interference coefficient of the cell i to its neighboring cell j based on the target direction correlation coefficient, the target distance correlation coefficient, and the target coverage correlation coefficient, further comprising:
and respectively acquiring the target direction correlation coefficient and the target distance correlation coefficient.
4. The method for detecting inter-cell interference according to claim 3, wherein the obtaining the target distance correlation coefficient specifically includes:
acquiring the distance between a cell i and an adjacent cell j thereof and the average station spacing of the adjacent cell j;
and determining the target distance correlation coefficient according to the distance between the cell i and the adjacent cell j and the average station spacing of the adjacent cell j.
5. An apparatus for detecting inter-cell interference, comprising:
the interference coefficient determining module is used for determining the interference coefficient of the cell i to the adjacent cell j based on the target direction correlation coefficient and the target coverage correlation coefficient or based on the target direction correlation coefficient, the target distance correlation coefficient and the target coverage correlation coefficient; the target direction correlation coefficient is a direction correlation coefficient between a cell i and an adjacent cell j, and the direction correlation coefficient is used for representing the influence of direction angles of two adjacent cells on inter-cell interference; the target distance correlation coefficient is a distance correlation coefficient between the cell i and the adjacent cell j, and the distance correlation coefficient is used for representing the influence of the distance between two adjacent cells on the interference between the cells; the target coverage correlation coefficient is a coverage correlation coefficient between a cell i and a neighboring cell j;
the interference degree determining module is used for determining the interference degree of the cell i to the adjacent cell j according to the interference coefficient of the cell i to the adjacent cell j;
obtaining the target direction correlation coefficient specifically includes:
acquiring a direction code value of a cell i and a direction code value of a neighboring cell j, wherein the direction code value of the cell i is a code value of an umbrella zone in which a direction angle of the cell i is located, the direction code value of the neighboring cell j is a preset code value of the umbrella zone in which the direction angle of the neighboring cell j is located, a plane in which the cell i is located is pre-divided into a plurality of umbrella zones with equal size, and a plane in which the neighboring cell j is located is also pre-divided into the same number of umbrella zones with equal size;
determining the target direction correlation coefficient based on the direction code value of the cell i and the direction code value of the adjacent cell j;
wherein, the calculation formula for determining the target direction correlation coefficient based on the direction code value of the cell i and the direction code value of the neighboring cell j is as follows:
where ρ is the directional correlation coefficient between cell i and cell j, N i For the direction code value, N, of cell i j Is the direction code value of the cell j, alpha is the direction factor of the cell i, beta is the direction factor of the cell j, and both alpha and beta are greater than 0 and less than 0.5.
6. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor, when executing the computer program, implements the steps of the inter-cell interference detection method according to any of claims 1 to 4.
7. A non-transitory computer readable storage medium having stored thereon a computer program, which when executed by a processor, performs the steps of the inter-cell interference detection method according to any one of claims 1 to 4.
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| EP3117541B1 (en) * | 2014-03-14 | 2018-03-07 | Telefonaktiebolaget LM Ericsson (publ) | Automated, dynamic minimization of inter-cell site interference in cdma networks |
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