Detailed Description
The interference evaluation method and apparatus provided in the present application will be described in detail below with reference to the accompanying drawings.
The terms "first" and "second", etc. in the description and drawings of the present application are used for distinguishing between different objects and not for describing a particular order of the objects.
Furthermore, the terms "including" and "having," and any variations thereof, as referred to in the description of the present application, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements but may alternatively include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be noted that in the embodiments of the present application, words such as "exemplary" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described herein as "exemplary" or "e.g.," is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the word "exemplary" or "such as" is intended to present concepts related in a concrete fashion.
In the description of the present application, the meaning of "a plurality" means two or more unless otherwise specified.
The method for interference estimation provided in the embodiment of the present application may be applied to a communication network, which may be, for example, an LTE network, a Global System for Mobile communications (GSM), a Code Division Multiple Access (CDMA) System, a Time Division Multiple Access (TDMA) System, a Wideband Code Division Multiple Access (Wideband Code Division Multiple Access, WCDMA), a Frequency Division Multiple Access (Frequency Division Multiple Access, FDMA) System, an Orthogonal Frequency Division Multiple Access (OFDMA) System, a General Packet Radio Service (GPRS, General Packet Radio Service) System, a next generation Mobile communication System or other such communication systems, and the present application is not limited thereto.
The embodiment of the application provides an interference evaluation method applied to a communication network. In the following, the interference evaluation method will be described in detail by taking the communication network as an LTE network as an example. The interference assessment method may be performed by any computer device. As shown in fig. 1, the method includes S101-S106:
s101, acquiring the work parameter information and the measurement report MR of the communication network.
Wherein the communication network is an LTE network. The work parameter information comprises: a cell name, a cell number (CI), a Location Area Code (LAC), a cell longitude and latitude, and a direction angle. The MR comprises: cell number, Cell name, frequency point, Physical Cell Identifier (PCI), RSRP.
S102, determining the position of the main service cell and the position of the adjacent cell according to the work parameter information.
The primary serving cell is a cell in the communication network, which needs to be subjected to interference evaluation. The neighboring cell is a cell within the coverage of the main serving cell in the communication network.
Specifically, the work parameter information includes a cell name, CI, LAC, a cell longitude and latitude, and a direction angle of each cell. And determining the geographical position of each cell according to the longitude and latitude of each cell in the work parameter information.
S103, determining the interference ratio between the main service cell and each adjacent cell according to the MR.
Wherein the interference ratio is a ratio of the signal received power of the main serving cell and the signal received power of the neighboring cell.
Specifically, the reference signal received power RSRPsc of the main serving cell and the reference signal received power RSRPnc of the neighboring cell are obtained from the MR.
And if the RSRPnc minus the RSRPnc is larger than a first threshold value, ignoring the interference ratio between the main service cell and the adjacent cell.
If the RSRPnc subtracted from the RSRPsc is larger than a second threshold and smaller than or equal to a first threshold, the interference ratio between the main serving cell and the neighbor cell is as follows:
if the RSRPsc is less than or equal to the RSRPnc, the interference ratio between the main service cell and the adjacent cell is as follows:
illustratively, the first threshold is 6db and the second threshold is 0 db.
In the current LTE network, when RSRPsc > RSRPnc, the larger the interference ratio between cells, the larger the interference of the neighboring cell received by the main serving cell. Generally, when the inter-cell interference ratio is greater than 16.7%, the interference of the neighboring cell received by the main serving cell is considered to be large; and performing important interference monitoring or adjustment on the adjacent cell. If the inter-cell interference ratio is greater than 33.3%, the interference of the neighboring cell on the main serving cell is considered to be serious, and the main serving cell or the neighboring cell needs to be optimized as fast as possible to reduce the interference of the neighboring cell on the main serving cell. If the RSRPsc is less than or equal to the RSRPnc; it is indicated that there is a cell with signal strength higher than that of the main serving cell in the neighboring cells, but no handover occurs, and it is necessary to detect whether there is a neighbor cell missing or a neighbor cell access difficulty, etc.
S104, dividing the coverage area of the main service cell into a plurality of areas according to a preset rule, and determining the area of each adjacent cell.
Specifically, the method for establishing the 360-degree coverage interference model comprises the following steps: and dividing the coverage area of the main service cell into a plurality of partitions according to a preset angle by taking the main service cell as a center. Dividing the coverage area of the main service cell into n layers; for each partition, dividing an area which is a first preset distance away from the main service cell into a first layer; dividing an area with a distance from the main service cell greater than a first preset distance and less than a second preset distance into a second layer; until dividing the area with the distance from the main service cell larger than the n-1 preset distance and smaller than the n preset distance into the n layer. And determining the area of each neighboring cell according to the position of each neighboring cell.
Illustratively, as shown in fig. 2, a 360-degree coverage partition model is established for the primary serving cell. The coverage area of the primary serving cell is first partitioned, for example, the coverage area is uniformly divided into 12 partitions with the median line of the cell antenna azimuth as a starting point (i.e., 0 degree) and with 30 degree intervals. Each partition is numbered, for example, the partition is divided by the coverage of the main lobe, the side lobe and the rear lobe of the antenna. The areas covered by the main lobe of the antenna (the area between 0-60 degrees and the area between 300-360 degrees) are labeled as the first, second, eleventh and twelfth sectors. The areas covered by the antenna side lobe areas (the area between 60 degrees-120 degrees and the area between 240 degrees-300 degrees) are labeled as a third partition, a fourth partition, a ninth partition and a tenth partition. The antenna back lobe area coverage area (the area between 120-240 degrees) is labeled as fifth, sixth, seventh and eighth zone. Then, the coverage area of the primary serving cell is layered, for example, the neighboring cells of the same station are divided into layer 0, and generally, a site includes three cells, and the three cells together complete signal coverage on the coverage area, and the three cells can be regarded as non-interfering. The area with the main serving cell as the center and the distance r as the radius is determined as the first layer (the distance r can be different according to the coverage scenes such as dense urban areas, general urban areas, suburban areas, rural areas and the like, for example, the distance r is generally 100 meters in the dense urban areas and 200 meters in the general urban areas). The area between r and 2r centered on the primary serving cell is the second layer. The area other than the area with the radius of 2r around the main serving cell is the third layer.
And S105, determining an interference coefficient generated by each region to the main service cell according to the interference ratio between the main service cell and each adjacent cell.
Specifically, the interference ratio of each neighboring cell in a first partition is summed to determine an interference coefficient of the first partition to the primary serving cell; the first partition is any area within the coverage area of the primary serving cell.
Illustratively, in a specific interference evaluation process, after a 360-degree coverage partition model is established for the primary serving cell numbered 410689_1, the interference in the first partition is evaluated. The determination of the area of each neighboring cell by the common reference information is shown in table 1:
| primary serving cell _ ID
|
Neighbor _ ID
|
Partitioning
|
Layering
|
| 410689_1
|
411538_3
|
1
|
1
|
| 410689_1
|
411538_1
|
1
|
1
|
| 410689_1
|
411538_2
|
1
|
1
|
| 410689_1
|
410859_1
|
1
|
2
|
| 410689_1
|
410859_2
|
1
|
2
|
| 410689_1
|
410877_1
|
1
|
≥3
|
| 410689_1
|
410880_3
|
1
|
≥3 |
TABLE 1
The interference ratio between each neighboring cell and the main serving cell obtained by obtaining the MR measurement report of the main serving cell is, for example, as shown in table 2:
| primary serving cell _ ID
|
Neighbor _ ID
|
Partitioning
|
Layering
|
Inter-cell interference ratio
|
| 410689_1
|
410859_1
|
1
|
2
|
16.76%
|
| 410689_1
|
410859_2
|
1
|
2
|
26.46%
|
| 410689_1
|
410877_1
|
1
|
≥3
|
26.76%
|
| 410689_1
|
410880_3
|
1
|
≥3
|
17.72% |
TABLE 2
And summing the inter-cell interference ratios in the table 2, and regarding the area of the layer 0 and the first layer as a reasonable overlapping coverage area, wherein the interference generated by the adjacent cell in the area to the main service cell is not counted in the interference coefficient statistics. The interference coefficient generated by the first partition to the primary serving cell is determined as shown in table 3:
TABLE 3
And S106, evaluating the interference degree of each region to the main service cell according to the interference coefficient generated by each region to the main service cell.
Wherein the interference degree can be divided into a plurality of interference levels.
Specifically, if the number of the neighboring cells in the first partition is greater than a first threshold, the interference coefficient generated by the first partition to the primary serving cell is determined. And dividing the interference degree of the first partition on the main service cell into a first interference level to an nth interference level. The interference coefficient of each region is divided into a first section to an nth section. If the interference coefficient generated by the first partition to the main service cell is located in the mth interval, the interference level of the first partition to the main service cell is the mth interference level; wherein m is more than or equal to 1 and less than or equal to n.
Illustratively, the interference coefficient is divided into four intervals. Wherein the first interval is (0, 33.3%); the second interval was (33.3%, 50%); the third interval is (50%, 100%); the fourth interval is (100%, ∞). The interference level is divided into 4 interference levels, the first interference level representing interference mild interference. The second interference level represents medium interference and the third interference level is stronger interference; the fourth interference level is strong interference. The interference coefficient interval corresponds to the interference grade. Optionally, if the number of the adjacent cells in the first partition is less than two, it is determined that the interference condition is normal. And if the number of the adjacent cells in the first partition is more than or equal to two, judging the interference level according to the scheme.
The interference evaluation method provided by the embodiment of the application determines a main service cell and at least one adjacent cell; the main service cell is a cell which needs to be subjected to interference evaluation in the communication network; the neighboring cell is a cell within the coverage of the main serving cell in the communication network. And acquiring the working parameter information and the measurement report MR of the communication network. And determining the positions of the main service cell and the adjacent cell according to the work parameter information. And determining the interference ratio between the main service cell and each adjacent cell according to the MR. And dividing the coverage area of the main service cell into a plurality of areas according to a preset rule, and determining the area of each adjacent cell. And determining the interference coefficient generated by each region to the main service cell according to the interference ratio between the main service cell and each adjacent cell. And evaluating the interference degree of each region to the main service cell according to the interference coefficient generated by each region to the main service cell. Therefore, the interference evaluation method provided by the embodiment of the application can evaluate the interference of different areas suffered by the main service cell, so that the efficiency and accuracy of interference analysis are improved, and the interference analysis cost is reduced.
As shown in fig. 3, the present application provides an interference evaluation apparatus for performing the aforementioned interference evaluation method, the apparatus including:
an obtaining module 301, configured to obtain the working parameter information and the measurement report MR of the communication network.
A processing module 302, configured to determine the location of the primary serving cell and the location of the neighboring cell according to the working parameter information. The main service cell is a cell which needs to be subjected to interference evaluation in the communication network; the neighboring cell is a cell within the coverage of the main serving cell in the communication network.
The processing module 302 is further configured to determine an interference ratio between the primary serving cell and each of the neighboring cells according to the MR.
The processing module 302 is further configured to divide the coverage area of the primary serving cell into a plurality of regions according to a preset rule, and determine a region to which each of the neighboring cells belongs.
The processing module 302 is further configured to determine an interference coefficient generated by each area to the main serving cell according to an interference ratio between the main serving cell and each neighboring cell.
The processing module 302 is further configured to evaluate an interference degree of each region with respect to the primary serving cell according to the interference coefficient generated by each region with respect to the primary serving cell.
Optionally, the processing module 302 is further configured to: and dividing the coverage area of the main service cell into a plurality of partitions according to a preset angle by taking the main service cell as a center. Dividing the coverage area of the main service cell into n layers; for each partition, dividing an area which is a first preset distance away from the main service cell into a first layer; dividing an area with a distance from the main service cell greater than a first preset distance and less than a second preset distance into a second layer; until dividing the area with the distance from the main service cell larger than the n-1 preset distance and smaller than the n preset distance into the n layer.
Optionally, the apparatus further comprises: the obtaining module 301 is further configured to obtain, from the MR, reference signal received power RSRPsc of the main serving cell and reference signal received power RSRPnc of the neighboring cell.
The processing module 302 is further configured to ignore an interference ratio between the primary serving cell and the neighboring cell if the RSRPsc minus the RSRPnc is greater than a first threshold.
The
processing module 302 is further configured to, if the RSRPsc minus the RSRPnc is greater than a second threshold and is less than or equal to a first threshold, determine that an interference ratio between the primary serving cell and the neighboring cell is:
the
processing module 302 is further configured to, if the RSRPsc is less than or equal to the RSRPnc, determine that an interference ratio between the main serving cell and the neighboring cell is:
optionally, the processing module 302 is further configured to: summing the interference proportion of each adjacent cell in a first partition to determine the interference coefficient of the first partition to the main service cell; the first partition is any area of the coverage area of the main service cell.
Optionally, the processing module 302 is further configured to: and if the number of the adjacent cells in the first partition is larger than a first threshold value, determining an interference coefficient generated by the first partition to the main service cell. And dividing the interference degree of the first partition on the main service cell into a first interference level to an nth interference level. The interference coefficient of each region is divided into a first section to an nth section. If the interference coefficient generated by the first partition to the main service cell is located in the mth interval, the interference level of the first partition to the main service cell is the mth interference level; wherein m is more than or equal to 1 and less than or equal to n.
Fig. 4 shows a schematic diagram of another possible structure of the interference evaluation device in the above embodiment. The interference evaluation apparatus includes: a processor 402 and a communication interface 403. The processor 402 is configured to control and manage the actions of the interference assessment apparatus, e.g., to perform the steps performed by the processing module 302 described above, and/or to perform other processes for the techniques described herein. The communication interface 403 is used to support communication of the interference assessment apparatus with other network entities, for example, to perform the steps performed by the acquisition module 301 described above, and/or to perform other processes for the techniques described herein. The interference assessment means may further comprise a memory 401 and a bus 404, the memory 401 being used for storing program codes and data of the interference assessment means.
The memory 401 may be a memory in the interference evaluation device, and the like, and the memory may include a volatile memory, such as a random access memory; the memory may also include non-volatile memory, such as read-only memory, flash memory, a hard disk, or a solid state disk; the memory may also comprise a combination of memories of the kind described above.
The processor 402 may be any means that can implement or execute the various illustrative logical blocks, modules, and circuits described in connection with the disclosure herein. The processor may be a central processing unit, general purpose processor, digital signal processor, application specific integrated circuit, field programmable gate array or other programmable logic device, transistor logic device, hardware component, or any combination thereof. Which may implement or perform the various illustrative logical blocks, modules, and circuits described in connection with the disclosure. The processor may also be a combination of computing functions, e.g., comprising one or more microprocessors, DSPs, and microprocessors, among others.
The bus 404 may be an Extended Industry Standard Architecture (EISA) bus or the like. The bus 404 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in FIG. 4, but this does not indicate only one bus or one type of bus.
Through the above description of the embodiments, it is clear to those skilled in the art that, for convenience and simplicity of description, the foregoing division of the functional modules is merely used as an example, and in practical applications, the above function distribution may be completed by different functional modules according to needs, that is, the internal structure of the device may be divided into different functional modules to complete all or part of the above described functions. For the specific working processes of the system, the apparatus and the unit described above, reference may be made to the corresponding processes in the foregoing method embodiments, and details are not described here again.
The present application provides a computer program product containing instructions, which when run on a computer causes the computer to execute the interference assessment method described in the above method embodiments.
The embodiment of the present application further provides a computer-readable storage medium, where instructions are stored in the computer-readable storage medium, and when the instructions are run on a computer, the computer is caused to execute the interference evaluation method in the method flow shown in the above method embodiment.
The computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a Read-Only Memory (ROM), an Erasable Programmable Read-Only Memory (EPROM), a register, a hard disk, an optical fiber, a portable Compact Disc Read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, any suitable combination of the above, or any other form of computer readable storage medium known in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. Of course, the storage medium may also be integral to the processor. The processor and the storage medium may reside in an Application Specific Integrated Circuit (ASIC). In embodiments of the present application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The above description is only an embodiment of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions within the technical scope of the present disclosure should be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.