CN114928853B - Network optimization method and device, electronic equipment and storage medium - Google Patents

Network optimization method and device, electronic equipment and storage medium Download PDF

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Publication number
CN114928853B
CN114928853B CN202210635284.6A CN202210635284A CN114928853B CN 114928853 B CN114928853 B CN 114928853B CN 202210635284 A CN202210635284 A CN 202210635284A CN 114928853 B CN114928853 B CN 114928853B
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cell
interference
power
downlink
preset
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CN114928853A (en
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肖天
刘光海
吕非彼
许国平
龙青良
李贝
成晨
程新洲
高洁
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China United Network Communications Group Co Ltd
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China United Network Communications Group Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/02—Arrangements for optimising operational condition
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/08—Testing, supervising or monitoring using real traffic
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

The invention provides a network optimization method, a device, electronic equipment and a storage medium, relates to the technical field of communication, and solves the technical problems that in the related art, a base station cannot determine which base station or which cell is interfering with the base station, cannot determine the direction of network optimization, and influences the effectiveness of network optimization. The method comprises the following steps: determining the time slot average power of each cell in a plurality of cells included in a target area, the downlink disturbed power of each cell and the preset power difference of each cell; determining at least one strong remote interfering cell from the plurality of cells; determining at least one interference list; and when the number of times of occurrence of the identification of the preset interference source cell in the at least one interference list is greater than or equal to a number threshold value, performing network optimization on the preset interference source cell.

Description

Network optimization method and device, electronic equipment and storage medium
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a network optimization method, a device, an electronic device, and a storage medium.
Background
Currently, for a certain base station, the base station may periodically detect interference noise power on an uplink symbol of the base station, and further determine that the base station has a certain interference when the interference noise power is greater than a certain power threshold.
However, in the above method, the base station cannot determine which base station or which cell has interference to the base station or which cell, and cannot determine the direction in which the network optimization needs to be performed, which affects the effectiveness of the network optimization.
Disclosure of Invention
The invention provides a network optimization method, a network optimization device, electronic equipment and a storage medium, which solve the technical problems that in the related technology, a base station cannot determine which base station or which cells interfere the base station or which cells, the direction of network optimization is required cannot be determined, and the effectiveness of network optimization is affected.
In a first aspect, the present invention provides a network optimization method, including: determining the time slot average power of each cell in a plurality of cells included in a target area, the downlink disturbed power of each cell and a preset power difference of each cell, wherein the time slot average power is used for representing the power condition of each cell in a plurality of time slots, the downlink disturbed power is used for representing the power condition of each cell in an disturbed downlink symbol, and the preset power difference is used for representing the difference condition between the power condition of each cell in an undisturbed downlink symbol and the downlink disturbed power; determining at least one strong far-end interference cell from the cells, wherein the time slot average power of each strong far-end interference cell in the at least one strong far-end interference cell meets a first preset condition, the downlink interfered power of each strong far-end interference cell meets a second preset condition, and the preset power difference of each strong far-end interference cell meets a third preset condition; determining at least one interference list, wherein one interference list corresponds to a strong far-end interference cell, the interference list comprises the identification of at least one interference source cell, and the at least one interference source cell is a cell generating far-end interference to the strong far-end interference cell; and when the number of times of occurrence of the identification of the preset interference source cell in the at least one interference list is greater than or equal to a number threshold value, performing network optimization on the preset interference source cell.
Optionally, the network optimization method further includes: acquiring uplink interference noise power of each cell included in each of a plurality of areas; determining the interference cell ratio of each area and the uplink interference noise power corresponding to each area, wherein the interference cell ratio of each area is the ratio between the number of cells in which the uplink interference noise power of each area meets a fourth preset condition and the total number of cells in each area, and the uplink interference noise power corresponding to each area is the average value of the uplink interference noise powers of the cells in each area; and when the interference cell ratio of the first area is larger than the ratio threshold and the uplink interference noise power corresponding to the first area meets a fifth preset condition, determining the first area as the target area, wherein the first area is an area included in the plurality of areas.
Optionally, the plurality of time slots include an uplink time slot, a downlink time slot and a special time slot, and determining the time slot average power of each cell specifically includes: acquiring the interference power of each cell on each downlink time slot, the interference power of each cell on each uplink time slot and the interference power of each cell on each special time slot; and determining the average value of the interference power of each cell on each downlink time slot, the interference power of each cell on each uplink time slot and the interference power of each cell on each special time slot as the time slot average power of each cell.
Optionally, the network optimization method further includes: starting an interference test function for each strong far-end interference cell, wherein the interference test function is used for indicating to send a test signal in an uplink symbol of each strong far-end interference cell; and when the test signal is detected in the downlink symbol of the preset cell and the signal strength of the test signal is larger than the signal strength threshold, determining the preset cell as the interference source cell corresponding to each strong far-end interference cell.
Optionally, the number of downlink symbols interfered by each cell in the plurality of cells is N, N e [1,4], and the network optimization method further includes: determining that the downlink interfered power of each strong far-end interference cell meets the second preset condition, and the maximum value of N when the preset power difference of each strong far-end interference cell meets the third preset condition; based on the maximum value of N, the special slot configuration is adjusted.
In a second aspect, the present invention provides a network optimization apparatus, including: a determining module and a processing module; the determining module is configured to determine a time slot average power of each cell in a plurality of cells included in a target area, a downlink interfered power of each cell, and a preset power difference of each cell, where the time slot average power is used to characterize a power condition of each cell in a plurality of time slots, the downlink interfered power is used to characterize a power condition of each cell in an interfered downlink symbol, and the preset power difference is used to characterize a difference condition between the power condition of each cell in an undisturbed downlink symbol and the downlink interfered power; the determining module is further configured to determine at least one strong far-end interference cell from the plurality of cells, where an average power of a time slot of each strong far-end interference cell in the at least one strong far-end interference cell meets a first preset condition, a downlink interfered power of each strong far-end interference cell meets a second preset condition, and a preset power difference of each strong far-end interference cell meets a third preset condition; the determining module is further configured to determine at least one interference list, where one interference list corresponds to one strong far-end interference cell, and the interference list includes an identifier of at least one interference source cell, where the at least one interference source cell is a cell that generates far-end interference to the strong far-end interference cell; the processing module is configured to perform network optimization on a preset interference source cell when the number of times the identifier of the preset interference source cell appears in the at least one interference list is greater than or equal to a number of times threshold.
Optionally, the network optimization device further includes an acquisition module; the acquisition module is used for acquiring uplink interference noise power of each cell included in each of the plurality of areas; the determining module is further configured to determine an interference cell ratio of each area and an uplink interference noise power corresponding to each area, where the interference cell ratio of each area is a ratio between a number of cells in which uplink interference noise power in each area meets a fourth preset condition and a total number of cells in each area, and the uplink interference noise power corresponding to each area is an average value of uplink interference noise powers of cells in each area; the determining module is further configured to determine, when the interference cell ratio of the first area is greater than the ratio threshold and uplink interference noise power corresponding to the first area meets a fifth preset condition, the first area as the target area, where the first area is an area included in the plurality of areas.
Optionally, the plurality of time slots include an uplink time slot, a downlink time slot, and a special time slot; the acquisition module is used for acquiring the interference power of each cell on each downlink time slot, the interference power of each cell on each uplink time slot and the interference power of each cell on each special time slot; the determining module is specifically configured to determine, as the time slot average power of each cell, the interference power of each cell on each downlink time slot, the interference power of each cell on each uplink time slot, and the average value of the interference power of each cell on each special time slot.
Optionally, the processing module is further configured to start an interference test function for each strong far-end interference cell, where the interference test function is configured to instruct to send a test signal in an uplink symbol of each strong far-end interference cell; the determining module is further configured to determine the preset cell as an interference source cell corresponding to each strong remote interference cell when the test signal is detected in a downlink symbol of the preset cell and a signal strength of the test signal is greater than a signal strength threshold.
Optionally, the number of downlink symbols interfered by each cell in the plurality of cells is N, N e 1, 4; the determining module is further configured to determine that the downlink interfered power of each strong far-end interference cell meets the second preset condition, and the preset power difference of each strong far-end interference cell meets the maximum value of N when the preset power difference of each strong far-end interference cell meets the third preset condition; the processing module is further configured to adjust a special time slot configuration based on the maximum value of N.
In a third aspect, the present invention provides an electronic device comprising: a processor and a memory configured to store processor-executable instructions; wherein the processor is configured to execute the instructions to implement any of the alternative network optimization methods of the first aspect described above.
In a fourth aspect, the present invention provides a computer readable storage medium having instructions stored thereon which, when executed by an electronic device, enable the electronic device to perform any one of the alternative network optimization methods of the first aspect described above.
The network optimization method, the network optimization device, the electronic equipment and the storage medium provided by the invention can determine the time slot average power of each cell, the downlink disturbed power of each cell and the preset power difference of each cell in a plurality of cells included in a target area, and determine the at least one strong far-end interference cell from the plurality of cells. Because the timeslot power of each strong far-end interference cell in the at least one strong far-end interference cell meets a first preset condition, the downlink interfered power of each strong far-end interference cell meets a second preset condition, and the preset power difference of each strong far-end interference cell meets a third preset condition, it is indicated that the average value of the power of the cell in a plurality of timeslots is larger, the power of the cell in the interfered downlink symbol is larger, and the power condition of the interfered downlink symbol and the power condition of the non-interfered downlink symbol are larger, at this time, the electronic device can determine at least one interference list, specifically, one list corresponding to one strong far-end interference cell. When the number of times of occurrence of the identification of the preset interference source cell in the at least one interference list is greater than or equal to the number of times threshold, the preset interference cell is indicated to generate far-end interference to a large number of cells in the at least one strong far-end interference cell, that is, the preset interference cell has strong far-end interference generating capability, and the electronic equipment can perform network optimization on the preset interference source cell. In the invention, the electronic equipment can determine at least one strong far-end interference cell from a plurality of cells included in the target area, then determine the interference list corresponding to each strong far-end interference cell in the at least one strong far-end interference cell, and because the interference source cell corresponding to the identifier included in the interference list corresponding to each strong far-end interference cell is the cell generating far-end interference to each strong far-end interference cell, namely the electronic equipment can determine the interference source cell generating far-end interference to each strong far-end interference cell, the determination efficiency of the interference source cell can be improved. Then, the electronic device may perform network optimization on the interference source cell (i.e., the preset interference source cell having a strong capability of generating far-end interference) corresponding to the identifier with a large number of occurrences (specifically, greater than or equal to the frequency threshold) in at least one interference list, so as to determine a direction of network optimization, and promote effectiveness of network optimization. Furthermore, the electronic equipment can reduce the remote interference capability of the preset interference source cell and improve the communication level of a plurality of cells by carrying out network optimization on the preset interference source cell.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below.
Fig. 1 is a schematic diagram of a network architecture of a communication system according to an embodiment of the present invention;
Fig. 2 is a schematic hardware diagram of a base station according to an embodiment of the present invention;
fig. 3 is a schematic flow chart of a network optimization method according to an embodiment of the present invention;
Fig. 4 is a flow chart of another network optimization method according to an embodiment of the present invention;
fig. 5 is a flow chart of another network optimization method according to an embodiment of the present invention;
fig. 6 is a schematic diagram of a downlink and uplink timeslot configuration according to an embodiment of the present invention;
Fig. 7 is a flow chart of another network optimization method according to an embodiment of the present invention;
Fig. 8 is a flow chart of another network optimization method according to an embodiment of the present invention;
Fig. 9 is a schematic structural diagram of a network optimization device according to an embodiment of the present invention;
Fig. 10 is a schematic structural diagram of another network optimization device according to an embodiment of the present invention.
Detailed Description
The network optimization method, the device, the electronic equipment and the storage medium provided by the embodiment of the invention are described in detail below with reference to the accompanying drawings.
The terms "first" and "second" and the like in the description and the drawings of the present application are used for distinguishing between different objects, not for describing a particular sequence of objects, for example, a first preset condition and a second preset condition and the like are used for distinguishing between different preset conditions, not for describing a particular sequence of preset conditions.
Furthermore, references to the terms "comprising" and "having" and any variations thereof in the description of the present application are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed but may optionally include other steps or elements not listed or inherent to such process, method, article, or apparatus.
It should be noted that, in the embodiments of the present invention, words such as "exemplary" or "such as" are used to mean serving as an example, instance, or illustration. Any embodiment or design described herein as "exemplary" or "e.g." in an embodiment of the present invention is not to be taken as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "such as" is intended to present related concepts in a concrete fashion.
The term "and/or" as used herein includes the use of either or both of these methods.
In the description of the present application, unless otherwise indicated, the meaning of "a plurality" means two or more.
Based on the description in the background art, since in the related art, a base station can determine that there is a certain interference to the base station, it cannot be determined which base station or which cell has generated interference to it. Based on this, the embodiment of the invention provides a network optimization method, a device, an electronic device and a storage medium, where the electronic device may determine at least one strong far-end interference cell from a plurality of cells included in a target area, and then determine an interference list corresponding to each strong far-end interference cell in the at least one strong far-end interference cell, and since an interference source cell corresponding to an identifier included in the interference list corresponding to each strong far-end interference cell is a cell generating far-end interference to each strong far-end interference cell, that is, the electronic device may determine an interference source cell generating far-end interference to each strong far-end interference cell, and may improve determination efficiency of the interference source cell. Then, the electronic device may perform network optimization on the interference source cell (i.e., the preset interference source cell having a strong capability of generating far-end interference) corresponding to the identifier with a large number of occurrences (specifically, greater than or equal to the frequency threshold) in at least one interference list, so as to determine a direction of network optimization, and promote effectiveness of network optimization. Furthermore, the electronic equipment can reduce the remote interference capability of the preset interference source cell and improve the communication level of a plurality of cells by carrying out network optimization on the preset interference source cell.
The network optimization method, apparatus, electronic device and storage medium provided in the embodiments of the present invention may be applied to a communication system, as shown in fig. 1, where the communication system includes a base station 101, a base station 102, a base station 103, a base station 104 and a base station 105. In general, in practical applications, the connection between the above-mentioned devices or service functions may be a wireless connection, and for convenience and intuitiveness, the connection relationship between the devices is schematically shown by a solid line in fig. 1.
For a certain base station (e.g., base station 101), the base station 101 may transmit an uplink signal or uplink data to other base stations (e.g., base station 102) in its downlink direction. Base station 102 may transmit a downlink signal or downlink data in its downlink direction to base station 101.
As shown in fig. 2, an exemplary base station provided in an embodiment of the present invention may include: 20 parts and 21 parts. The 20 part is mainly used for receiving and transmitting radio frequency signals and converting the radio frequency signals and baseband signals; the 21 part is mainly used for baseband processing, control of the base station and the like. The 20 part may be generally referred to as a transceiver unit, transceiver circuitry, or transceiver, etc. Portion 21 is typically the control center of the base station and may be generally referred to as a processing unit.
The transceiver unit of 20 part, it includes aerial and radio frequency unit, or include only radio frequency unit or part among them radio frequency unit mainly used for carrying on the radio frequency treatment. Alternatively, the device for implementing the receiving function in the 20 part may be regarded as a receiving unit, and the device for implementing the transmitting function may be regarded as a transmitting unit, i.e. the 20 part includes the receiving unit and the transmitting unit. The receiving unit may also be referred to as a receiver, or a receiving circuit, etc., and the transmitting unit may be referred to as a transmitter, or a transmitting circuit, etc.
The 21 part may include one or more boards or chips, each of which may include one or more processors and one or more memories, the processors being configured to read and execute programs in the memories to implement baseband processing functions and control of the base station. If there are multiple boards, the boards can be interconnected to increase processing power. As an alternative implementation, it may also be that multiple boards share one or more processors, or that multiple boards share one or more memories. The memory and the processor may be integrated or may be separately provided. In some embodiments, the 20 portion and the 21 portion may be integrated together or may be separately provided. In addition, all functions in the 21 portions may be integrated in one chip, or some functions may be integrated in one chip, and some functions may be integrated in one or more other chips, which is not limited by the embodiment of the present invention.
The network optimization method, the device, the electronic equipment and the storage medium provided by the embodiment of the invention are applied to the scene of optimizing a network (particularly a base station and a cell in the network), and after the electronic equipment determines the time slot average power of each cell, the downlink disturbed power of each cell and the preset power difference of each cell in a plurality of cells included in a target area, the network optimization method provided by the embodiment of the invention can be used for optimizing the network of the preset interference source cell.
As shown in fig. 3, the network optimization method provided by the embodiment of the present invention may include S101-S104.
S101, the electronic equipment determines the time slot average power of each cell, the downlink disturbed power of each cell and the preset power difference of each cell in a plurality of cells included in a target area.
The time slot average power is used for representing the power condition of each cell in a plurality of time slots, the downlink disturbed power is used for representing the power condition of each cell in an disturbed downlink symbol, and the preset power difference is used for representing the difference condition between the power condition of each cell in an undisturbed downlink symbol and the downlink disturbed power.
It should be appreciated that multiple regions may be included in the network to be optimized, with the target region being one or more of the multiple regions. The target area includes a cell that is a cell of a base station included in the target area.
In an implementation manner of the embodiment of the present invention, the power condition of each cell in the plurality of time slots may be an average value of the power of each cell in the plurality of time slots, and the downlink interfered power may be an average value of the power of each cell in the interfered downlink compliance (hereinafter referred to as a first average value). For the preset power difference, the electronic device may determine the first average value and an average value of the power of the cell in the undisturbed downlink symbol (hereinafter referred to as a second average value), and then determine a difference between the first average value and the second average value as the preset power difference.
In an alternative implementation, the above parameters related to power (including the average power of the time slots, the downlink disturbed power, and the preset power difference) may be converted into values on each physical resource block (physical resource block, PRB). Specifically, for the downlink interfered power, a ratio between the downlink interfered power and the number of Resource Blocks (RBs) may be determined as a power condition of each PRB in the interfered downlink symbol of each cell.
S102, the electronic equipment determines at least one strong far-end interference cell from a plurality of cells.
The time slot average power of each strong far-end interference cell in the at least one strong far-end interference cell meets a first preset condition, the downlink interfered power of each strong far-end interference cell meets a second preset condition, and the preset power of each strong far-end interference cell meets a third preset condition.
It should be understood that when the average power of a time slot of one of the cells satisfies the first preset condition, it is indicated that the average power of the cell in the time slots is larger; when the downlink interfered power of the cell meets a second preset condition, the power (or the average value of the power) of the cell in the interfered downlink symbol is larger; when the difference between the power condition of the cell in the undisturbed downlink symbol and the downlink disturbed power meets a third preset condition, the power condition of the disturbed downlink symbol and the undisturbed downlink symbol in the downlink symbol of the cell is greatly changed. When the average value of the power of the cell in the plurality of time slots is larger, the power of the cell in the interfered downlink symbol is larger, and the power condition of the interfered downlink symbol and the power condition of the non-interfered downlink symbol are changed greatly, the electronic device can determine the cell as a strong far-end interference cell.
Alternatively, the first preset condition may be a first power threshold, the second preset condition may be a second power threshold, and the third preset condition may be a third power threshold.
Illustratively, the first power threshold may be-100 dbm, the second power threshold may be-90 dbm, and the third power threshold may be 20 db.
S103, the electronic equipment determines at least one interference list.
Wherein an interference list corresponds to a strong remote interference cell, the interference list comprising an identification of at least one interference source cell, the at least one interference source cell being a cell generating a remote interference to the strong remote interference cell.
It should be understood that, for each strong far-end interference cell in the at least one strong far-end interference cell, the electronic device may determine an interference list corresponding to the each strong far-end interference cell, where a cell corresponding to an identifier (i.e., an identifier of an interference source cell) included in the interference list is a cell generating far-end interference to the each strong far-end interference cell.
Alternatively, the identity of one interferer cell may be the physical cell identity (PHYSICAL CELL IDENTIFIER, PCI) of that interferer cell.
And S104, when the number of times of occurrence of the identification of the preset interference cell in at least one interference list is greater than or equal to a number threshold, the electronic equipment performs network optimization on the preset interference source cell.
It should be understood that the preset interfering cell is a cell corresponding to the identifier included in the at least one interference list.
It will be appreciated that for a certain interfering cell, the interfering cell may generate far-end interference to one or more strong far-end interfering cells. When the interference cell generates far-end interference to a strong far-end interference cell, the identification of the interference cell appears 1 time, which can be understood that the identification of the interference cell is included in the interference list corresponding to the strong far-end interference cell.
In the embodiment of the present invention, when the number of times of occurrence of the identifier of the preset interference cell in the at least one interference list is greater than or equal to the number of times threshold, it is indicated that the preset interference cell generates far-end interference to a large number of cells in the at least one strong far-end interference cell, that is, the capability of the preset interference cell to generate far-end interference is stronger, and the electronic device may perform network optimization on the preset interference source cell.
In the embodiment of the invention, the electronic equipment performs network optimization on the preset interference source cell, so that the capability (or level) of the preset interference source cell for generating far-end interference on a plurality of cells included in the network to be optimized can be reduced, and the communication level of the plurality of cells can be improved.
In an implementation manner of the embodiment of the present invention, the network optimization of the preset interference cell by the electronic device may specifically be to lower the antenna downtilt angle of the preset interference cell, reduce the transmitting power of the preset interference cell, adjust the scenerised beam configuration of the preset interference cell, and so on.
The technical scheme provided by the embodiment at least has the following beneficial effects: from S101 to S104, the electronic device may determine a time slot average power of each cell of the plurality of cells included in the target area, a downlink interfered power of each cell, and a preset power difference of each cell, and determine the at least one strong remote interfering cell from the plurality of cells. Because the timeslot power of each strong far-end interference cell in the at least one strong far-end interference cell meets a first preset condition, the downlink interfered power of each strong far-end interference cell meets a second preset condition, and the preset power difference of each strong far-end interference cell meets a third preset condition, it is indicated that the average value of the power of the cell in a plurality of timeslots is larger, the power of the cell in the interfered downlink symbol is larger, and the power condition of the interfered downlink symbol and the power condition of the non-interfered downlink symbol are larger, at this time, the electronic device can determine at least one interference list, specifically, one list corresponding to one strong far-end interference cell. When the number of times of occurrence of the identification of the preset interference source cell in the at least one interference list is greater than or equal to the number of times threshold, the preset interference cell is indicated to generate far-end interference to a large number of cells in the at least one strong far-end interference cell, that is, the preset interference cell has strong far-end interference generating capability, and the electronic equipment can perform network optimization on the preset interference source cell. In the embodiment of the invention, the electronic equipment can determine at least one strong far-end interference cell from a plurality of cells included in the target area, then determine the interference list corresponding to each strong far-end interference cell in the at least one strong far-end interference cell, and because the interference source cell corresponding to the identifier included in the interference list corresponding to each strong far-end interference cell is the cell generating far-end interference to each strong far-end interference cell, namely the electronic equipment can determine the interference source cell generating far-end interference to each strong far-end interference cell, and the determination efficiency of the interference source cell can be improved. Then, the electronic device may perform network optimization on the interference source cell (i.e., the preset interference source cell having a strong capability of generating far-end interference) corresponding to the identifier with a large number of occurrences (specifically, greater than or equal to the frequency threshold) in at least one interference list, so as to determine a direction of network optimization, and promote effectiveness of network optimization. Furthermore, the electronic equipment can reduce the remote interference capability of the preset interference source cell and improve the communication level of a plurality of cells by carrying out network optimization on the preset interference source cell.
Referring to fig. 3, as shown in fig. 4, the network optimization method provided by the embodiment of the present invention further includes S105 to S107.
S105, the electronic equipment acquires uplink interference noise power of each cell included in each of the plurality of areas.
In connection with the description of the above embodiments, it should be understood that the plurality of areas are areas included in the network to be optimized.
In an alternative implementation manner, the electronic device may divide the entire area corresponding to the network to be optimized according to a certain area radius and a certain distance threshold.
By way of example, the area radius may be 40km (kilometers) and the distance threshold may be 5km. Specifically, for each of the plurality of regions, a region radius of each region may be greater than or equal to 40km, and an edge position of one cell may be spaced 5km from an edge position of an adjacent cell.
Alternatively, the uplink interference noise power of each cell may be the uplink interference noise power of each cell when the network is idle (for example, between 3 a.m. and 4 a.m.).
S106, the electronic equipment determines the interference cell ratio of each area and the uplink interference noise power corresponding to each area.
The interference cell ratio of each area is a ratio between the number of cells in each area where uplink interference noise power meets a fourth preset condition and the total number of cells included in each area, and the uplink interference noise power corresponding to each area is an average value of the uplink interference noise powers of the cells included in each area.
It should be understood that, after acquiring the uplink interference noise power of each cell included in each area, the electronic device may determine the uplink interference noise power corresponding to each area, that is, an average value of the uplink interference noise powers of the cells included in each area.
It can be understood that when the uplink noise power of a certain cell meets the fourth preset condition, the cell is indicated to have a larger interference strength, and the cell can be understood as a strong interference cell. The electronic device determines the ratio of interfering cells in a certain area, which is understood to be the ratio between the number of strong interfering cells comprised in the area and the total number of cells comprised in the area.
Alternatively, the fourth preset condition may be a fourth power threshold. The fourth power threshold may be-95 dbm, for example.
And S107, when the interference cell ratio of the first area is larger than the ratio threshold value and the uplink interference noise power corresponding to the first area meets a fifth preset condition, the electronic equipment determines the first area as a target area.
Wherein the first region is a region included in the plurality of regions.
It should be appreciated that when the interference cell ratio of the first area is greater than the ratio threshold, it is indicated that the interference cell ratio of the first area is greater, specifically that the first area includes more strong interference cells. When the uplink interference noise power corresponding to the first area meets the fifth preset condition, it is indicated that the uplink interference noise power corresponding to the first area is larger, specifically, the strength of the interfered first area is larger. When the strong interference cells included in the first cell are more and the intensity of the first area being interfered is greater, the electronic device may determine the first area as a target area.
It is understood that the fifth preset condition may be a fifth power threshold.
For example, the ratio threshold may be 0.05 and the fifth power threshold may be-100 dbm.
It should be noted that the number of the target areas (or the first areas) may be one or more, and the embodiment of the present invention does not specifically limit the specific number of the target areas.
The technical scheme provided by the embodiment at least has the following beneficial effects: as known from S105-S107, the electronic device may acquire uplink interference noise power of each cell included in each of the plurality of areas, and determine an interference cell ratio of each area and the uplink interference noise power corresponding to each area. When the interference cell ratio of the first area is greater than the ratio threshold and the uplink interference noise power corresponding to the first area meets a fifth preset condition, the electronic equipment can determine the first area as a target area, and can accurately and effectively determine each target area needing network optimization.
In an alternative implementation, the electronic device may further determine a stronger interference cell ratio of each of the plurality of areas, specifically, a number of cells in which uplink signal noise power in each of the plurality of areas meets a sixth preset condition (the sixth preset condition may be a sixth power threshold, which is smaller than the fourth power threshold, for example, the sixth power threshold may be-101 dbm). Further, when the stronger interference cell ratio of the first area is greater than a certain ratio threshold (e.g. 0.15), the interference cell ratio of the first area is greater than the ratio threshold (i.e. 0.05), and the uplink interference noise corresponding to the first area is that the power satisfies the fifth preset condition, the electronic device may determine the first area as the target area.
In an implementation manner of the embodiment of the present invention, the plurality of time slots may include an uplink time slot, a downlink time slot, and a special time slot. Referring to fig. 3, as shown in fig. 5, the electronic device determines the time slot average power of each cell, which may specifically include S1011-S1012.
S1011, the electronic equipment acquires the interference power of each cell in the plurality of cells on each downlink time slot, the interference power of each cell on each uplink time slot and the interference power of each cell on each special time slot.
It should be understood that the downlink slot (D slot) includes only downlink symbols, and the uplink slot (U slot) includes only uplink symbols. For a special slot (S slot), the special slot includes a downlink symbol, an uplink symbol, and a Guard Period (GP) symbol.
It can be appreciated that the electronic device can obtain the interference power of each cell in each downlink symbol included in each downlink slot, and then obtain the interference power on each downlink slot based on the interference power in each downlink symbol. For example, an average value of the interference power in each downlink symbol may be determined as the interference power on each downlink slot.
It should be noted that, the process of the electronic device obtaining the interference power of each cell on each uplink timeslot and the process of obtaining the interference power of each cell on each special timeslot are the same or similar to the process of obtaining the interference power of each downlink timeslot, which is not repeated here.
The embodiment of the invention is suitable for a Time Division (TD) system in a 3.5GHz (gigahertz) system of a 5G network, and particularly can use 100M frequency band resources included in the TD system.
In one implementation manner of the embodiment of the present invention, for a 100M frequency band resource, the 100M frequency band resource may be divided into 10 slots (slots), where the downlink and uplink slot configuration may be 7:3.
Specifically, as shown in fig. 6, the 10 timeslots are uplink timeslot 201, uplink timeslot 202, uplink timeslot 203, special timeslot 204, downlink timeslot 205, uplink timeslot 206, uplink timeslot 207, special timeslot 208, downlink timeslot 209, and downlink timeslot 210, respectively. (the first row in fig. 6 characterizes the uplink, special and downlink time slots by D, S and U, respectively).
In addition, since one special slot contains more downlink symbols than uplink symbols (and GP symbols), one special slot can be understood as one downlink slot when downlink and uplink slot configuration is performed.
In the embodiment of the present invention, one time slot (uplink time slot, downlink time slot or special time slot) may include 14 symbols. The frame structure of the self-contained frame may be configured as DwPTS: GAP: uppts=10:2:2, which may be understood as a special slot configuration that characterizes the duty cycle among downlink symbols, GP symbols, and uplink symbols. Specifically, dwPTS may represent a downlink symbol, GAP may represent a GP symbol, and UpPTS may represent an uplink symbol.
As illustrated, continuing with fig. 6, the special slot 204 includes a downlink symbol 204A, a downlink symbol 204B, a downlink symbol 204C, a downlink symbol 204D, a downlink symbol 204E, a downlink symbol 204F, a downlink symbol 204G, a downlink symbol 204H, a downlink symbol 204I, a downlink symbol 204J, GP, a symbol 204K, GP, a symbol 204L, an uplink symbol 204M, and an uplink symbol 204N. (the second line in FIG. 6 represents the uplink symbol, GP symbol and downlink symbol with D, GP and U, respectively)
And S1012, the electronic equipment determines the average value of the interference power of each cell on each downlink time slot, the interference power of each cell on each downlink time slot and the interference power of each cell on each special time slot as the time slot average power of each cell.
It should be appreciated that the electronic device, after acquiring the interference power of the each cell on each downlink time slot, the interference power of the each cell on each downlink time slot and the interference power of the each cell on each special time slot, determines the interference power of the each cell on each downlink time slot, an average of the interference power of the each cell on each downlink time slot and the interference power of the each cell on each special time slot, and determines the average as the time slot average power of the each cell.
The technical scheme provided by the embodiment at least has the following beneficial effects: as known from S1011-S1012, the electronic device may acquire the interference power of each cell in the plurality of cells on each downlink time slot, the interference power of each cell on each uplink time slot, and the interference power of each cell on each special time slot. Since the plurality of time slots includes a downlink time slot, an uplink time slot, and a special time slot, the interference power on each downlink time slot may represent the interference situation on each downlink time slot, the interference power on each uplink time slot may represent the interference situation on each uplink time slot, and the interference power on each special time slot may represent the interference situation on each special time slot. Therefore, the electronic equipment can determine the power condition of each cell in a plurality of time slots based on the interference condition of each downlink time slot, the interference condition of each uplink time slot and the interference condition of each special time slot, can conveniently and rapidly determine the time slot average power of each cell, and further improves the determination efficiency of the strong far-end interference cell.
Referring to fig. 3, as shown in fig. 7, the network optimization method provided by the embodiment of the present invention may further include S108 to S109.
S108, the electronic equipment starts an interference test function for each strong far-end interference cell.
The interference test function is used for indicating to send test signals in the uplink symbols of each strong far-end interference cell.
In an alternative implementation, each strong far-end interfering cell may transmit the test signal in the last uplink symbol (e.g., the 10 th uplink symbol described above) in its special slot.
Alternatively, the test signal may be a remote interference management reference signal (RIM-RS).
And S109, when the test signal is detected in the downlink symbol of the preset cell and the signal intensity of the test signal is larger than the signal intensity threshold, the electronic equipment determines the preset cell as an interference source cell corresponding to each strong far-end interference cell.
It should be understood that when the test signal is detected in the downlink symbol of the preset cell and the signal strength of the test signal is greater than the signal strength threshold, it is indicated that the preset cell may receive the test signal sent by the strong far-end interference cell and the signal strength of the test signal is greater, where the electronic device may determine the preset cell as the interference source cell corresponding to the strong far-end interference cell, that is, the cell generating the strong far-end interference to the strong far-end interference cell.
In an alternative implementation manner, the plurality of test signals may be detected from downlink symbols of the preset cell, where one test signal may include an identifier of a strong remote interfering cell. When the first test signal includes the identifier of the first strong far-end interference cell, the signal strength of the first test signal is greater than the signal strength threshold, and the second test signal includes the identifier of the second strong far-end interference cell, and the signal strength of the second test signal is greater than the signal strength threshold, the electronic device determines that the preset cell is not only the interference source cell corresponding to the first strong far-end interference cell, but also the interference source cell corresponding to the second strong far-end interference cell.
The technical scheme provided by the embodiment at least has the following beneficial effects: as seen in S108-S109, the electronic device may turn on the interference test function for each strong remote interfering cell, i.e. instruct to send a test signal in the uplink symbol of each strong remote interfering cell. When the test signal is detected in the downlink symbol of the preset cell and the signal strength of the test signal is greater than the signal strength threshold, the preset cell can receive the test signal sent by the strong far-end interference cell and the signal strength of the test signal is greater, and at this time, the electronic device can determine the preset cell as the interference source cell corresponding to each strong far-end interference cell. Each interference source cell corresponding to each strong far-end interference cell can be accurately and effectively determined, namely, the determination efficiency of at least one interference list can be improved.
In one implementation manner of the embodiment of the present invention, the number of downlink symbols interfered by each cell in the plurality of cells is N, N e 1, 4. Referring to fig. 3, as shown in fig. 8, the network optimization method provided by the embodiment of the present invention further includes S110 to S111.
S110, the electronic equipment determines that the downlink disturbed power of each strong far-end interference cell meets a second preset condition, and the preset power difference of each strong far-end interference cell meets the maximum value of N when a third preset condition.
In connection with the above description of the embodiments, it should be understood that the downlink interfered power of one strong far-end interference cell is used to characterize the power situation of the strong far-end interference cell in the interfered downlink symbol (specifically, may be the average value of the power of the strong far-end interference cell in each interfered downlink symbol). The preset power difference of a strong far-end interference cell is used for representing the power condition of the strong far-end interference cell in an undisturbed downlink symbol and the difference condition (specifically, the difference between the first average value and the second average value) between the downlink disturbed power of the strong far-end interference cell.
For example, it is assumed that when N (i.e., the number of downlink symbols interfered by the strong far-end interfering cell) is 1,2, and 3, respectively, the downlink interfered power of a certain strong far-end interfering cell meets the second preset condition, and the preset power differences of the strong far-end interfering cells meet the third preset condition; when the N is 4, the downlink interfered power of the strong far-end interference cell does not meet the second preset condition, and the preset power difference of the strong far-end interference cell does not meet the third preset condition. The electronic device may determine that the maximum value of N is 3 at this time.
It will be appreciated that there may be a certain propagation delay (or length of propagation) between one cell and one strong remote interfering cell.
In one case, the propagation delay between the cell and the strong far-end interference cell is within 2 symbols, and when the downlink signal of the cell reaches the strong far-end interference cell, the strong far-end interference cell is in a GP state, i.e. no uplink and downlink signal transmission is performed, i.e. the downlink signal of the cell hardly affects the performance of the base station. The embodiment of the invention defaults to the fact that the strong far-end interference cell does not have interfered downlink symbols.
In another case, the propagation delay between the cell and the strong far-end interference cell is 2-4 symbols, when the downlink symbol of the cell reaches the strong far-end interference cell, the strong far-end interference cell is located on 1-2 uplink symbols in a special time slot, that is, the downlink symbol of the cell affects 1 or 2 uplink symbols of the strong far-end interference cell. The embodiment of the invention defaults to the case that the strong far-end interference cell has the interfered downlink symbols, and the number of the interfered downlink symbols is 1 or 2.
In another case, the propagation delay between the cell and the strong far-end interference cell is 4-6 symbols, when the downlink symbol of the cell reaches the strong far-end interference cell, the strong far-end interference cell is located on the first 1-2 uplink symbols in the downlink time slot, and the downlink symbol of the cell affects the 2 uplink symbols of the strong far-end interference cell in the special time slot and the first 1-2 uplink symbols in the downlink time slot. The embodiment of the invention defaults to the case that the strong far-end interference cell has interfered downlink symbols, and the number of the interfered downlink symbols is 3 or 4.
In another case, the propagation delay between the cell and the strong far-end interference cell is greater than 6 symbols, at this time, because the propagation delay between the cell and the strong far-end interference cell is greater, the signal loss is more serious, and the interference condition generated by the cell on the downlink symbol of the strong far-end interference cell is negligible, i.e. the strong far-end interference cell is default that the downlink symbol without interference exists in the case.
In the embodiment of the present invention, the propagation distance of one symbol representation may be 10.7km, and by combining the description of the above several cases and a certain refraction during signal propagation, the embodiment of the present invention may determine that, for a certain strong far-end interference cell, the distance between a certain interference source cell corresponding to the strong far-end interference cell and the strong far-end interference cell is [25km,25+n×10km ]. And N is the number of the downlink symbols interfered by the strong remote cell.
S111, the electronic equipment adjusts special time slot configuration based on the maximum value of N.
In an alternative implementation, the adjusted special slot configuration may be (10-M): (2+M): 2, where M is the maximum value of N.
For example, assuming that the time slot before the adjustment is configured to be 10:2:2 and the maximum value of N (i.e., M) is 2, the electronic device determines that the special implementation configuration after the adjustment is configured to be 8:4:2.
It should be understood that, by adjusting the special implementation configuration, the electronic device may widen the GP symbol or shorten the uplink symbol, so that the interference probability of the downlink symbol of the interference source base station to the uplink symbol of the strong remote interference cell may be greatly reduced, and the communication quality of the strong remote interference cell may be improved.
The technical scheme provided by the embodiment at least has the following beneficial effects: as known from S110-S111, the electronic device may determine that the downlink interfered power of each strong far-end interference cell meets the second preset condition, and the preset power difference of each strong far-end interference cell meets the maximum value of N (i.e. the number of downlink symbols interfered by each strong far-end interference cell) when the third preset condition is met, and adjust the special slot configuration based on the maximum value of N. The interference probability of the downlink symbol of the interference source base station to the uplink symbol of the strong remote interference cell can be reduced, and the communication quality of the strong remote interference cell is improved.
The embodiment of the invention can divide the functional modules of the electronic equipment and the like according to the method example, for example, each functional module can be divided corresponding to each function, and two or more functions can be integrated in one processing module. The integrated modules may be implemented in hardware or in software functional modules. It should be noted that, in the embodiment of the present invention, the division of the modules is schematic, which is merely a logic function division, and other division manners may be implemented in actual implementation.
In the case of dividing the respective functional modules with the respective functions, fig. 9 shows a schematic diagram of one possible configuration of the network optimizing apparatus involved in the above-described embodiment, and as shown in fig. 9, the network optimizing apparatus 30 may include: a determination module 301 and a processing module 302.
A determining module 301, configured to determine a time slot average power of each cell in the multiple cells included in the target area, a downlink interfered power of each cell, and a preset power difference of each cell, where the time slot average power is used to characterize a power condition of each cell in multiple time slots, the downlink interfered power is used to characterize a power condition of each cell in an interfered downlink symbol, and the preset power difference is used to characterize a difference condition between a power condition of each cell in an undisturbed downlink symbol and the downlink interfered power.
The determining module 301 is further configured to determine at least one strong far-end interference cell from the plurality of cells, where an average power of a time slot of each strong far-end interference cell in the at least one strong far-end interference cell meets a first preset condition, a downlink interfered power of each strong far-end interference cell meets a second preset condition, and a preset power difference of each strong far-end interference cell meets a third preset condition.
The determining module 301 is further configured to determine at least one interference list, where one interference list corresponds to one strong remote interference cell, and the interference list includes an identification of at least one interference source cell, where the at least one interference source cell is a cell that generates remote interference to the strong remote interference cell.
A processing module 302, configured to perform network optimization on a preset interference source cell when the number of occurrences of the identification of the preset interference source cell in the at least one interference list is greater than or equal to a number threshold.
Optionally, the network optimization device 30 further includes an acquisition module 303.
An acquiring module 303, configured to acquire uplink interference noise power of each cell included in each of the multiple areas.
The determining module 301 is further configured to determine an interference cell ratio of each area and an uplink interference noise power corresponding to each area, where the interference cell ratio of each area is a ratio between a number of cells in which uplink interference noise power in each area meets a fourth preset condition and a total number of cells in each area, and the uplink interference noise power corresponding to each area is an average value of uplink interference noise powers of the cells in each area.
The determining module 301 is further configured to determine the first area as the target area when the interference cell ratio of the first area is greater than the ratio threshold, and uplink interference noise power corresponding to the first area meets a fifth preset condition, where the first area is an area included in the plurality of areas.
Optionally, the plurality of time slots include an uplink time slot, a downlink time slot, and a special time slot.
An obtaining module 303, configured to obtain the interference power of each cell on each downlink timeslot, the interference power of each cell on each uplink timeslot, and the interference power of each cell on each special timeslot.
The determining module 301 is specifically configured to determine, as the time slot average power of each cell, the interference power of each cell on each downlink time slot, the interference power of each cell on each uplink time slot, and the average value of the interference power of each cell on each special time slot.
Optionally, the processing module 302 is further configured to turn on an interference test function for each strong far-end interference cell, where the interference test function is configured to instruct to send a test signal in an uplink symbol of each strong far-end interference cell.
The determining module 301 is further configured to determine the preset cell as an interference source cell corresponding to each strong remote interference cell when the test signal is detected in a downlink symbol of the preset cell and a signal strength of the test signal is greater than a signal strength threshold.
Optionally, the number of downlink symbols interfered by each cell in the plurality of cells is N, N e 1, 4.
The determining module 301 is further configured to determine that the downlink interfered power of each strong far-end interference cell meets the second preset condition, and the preset power difference of each strong far-end interference cell meets the maximum value of N when the third preset condition.
The processing module 302 is further configured to adjust the special slot configuration based on the maximum value of N.
In the case of an integrated unit, fig. 10 shows a schematic diagram of one possible configuration of the network optimization device involved in the above-described embodiment. As shown in fig. 10, the network optimization device 40 may include: a processing module 401 and a communication module 402. The processing module 401 may be used to control and manage the actions of the network optimization device 40. The communication module 402 may be used to support communication of the network optimization device 40 with other entities. Optionally, as shown in fig. 10, the network optimization device 40 may further include a storage module 403 for storing program codes and data of the network optimization device 40.
Wherein the processing module 401 may be a processor or a controller. The communication module 402 may be a transceiver, a transceiver circuit, a communication interface, or the like. The memory module 403 may be a memory.
When the processing module 401 is a processor, the communication module 402 is a transceiver, and the storage module 403 is a memory, the processor, the transceiver, and the memory may be connected through a bus. The bus may be a peripheral component interconnect standard (PERIPHERAL COMPONENT INTERCONNECT, PCI) bus, or an extended industry standard architecture (extended industry standard architecture, EISA) bus, or the like. The buses may be divided into address buses, data buses, control buses, etc.
It should be understood that, in various embodiments of the present invention, the sequence numbers of the foregoing processes do not mean the order of execution, and the order of execution of the processes should be determined by the functions and internal logic thereof, and should not constitute any limitation on the implementation process of the embodiments of the present invention.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.
The units described as separate units may or may not be physically separate, and units shown 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 units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented using a software program, it may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the processes or functions described in accordance with embodiments of the present invention are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by a wired (e.g., coaxial cable, fiber optic, digital subscriber terminal line (Digital Subscriber Line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device including one or more servers, data centers, etc. that can be integrated with the medium. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid state disk (Solid STATE DISK, SSD)), etc.
The foregoing is merely illustrative of the present invention, and the present invention is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (10)

1. A method of network optimization, comprising:
Acquiring interference power of each cell in a plurality of cells on each downlink time slot, wherein the interference power of each cell on each uplink time slot and the interference power of each cell on each special time slot;
Determining the interference power of each cell on each downlink time slot, the interference power of each cell on each uplink time slot and the average value of the interference power of each cell on each special time slot as the time slot average power of each cell, wherein the time slot average power is used for representing the power condition of each cell in a plurality of time slots, and the plurality of time slots comprise the uplink time slot, the downlink time slot and the special time slot;
Determining the downlink disturbed power of each cell and a preset power difference of each cell, wherein the downlink disturbed power is used for representing the power condition of each cell in an disturbed downlink symbol, and the preset power difference is used for representing the difference condition between the power condition of each cell in an undisturbed downlink symbol and the downlink disturbed power;
Determining at least one strong far-end interference cell from the cells, wherein the time slot average power of each strong far-end interference cell in the at least one strong far-end interference cell meets a first preset condition, the downlink interfered power of each strong far-end interference cell meets a second preset condition, and the preset power difference of each strong far-end interference cell meets a third preset condition;
Determining at least one interference list, wherein one interference list corresponds to one strong far-end interference cell, the interference list comprises the identification of at least one interference source cell, and the at least one interference source cell is a cell generating far-end interference to the strong far-end interference cell;
and when the frequency of occurrence of the identification of the preset interference source cell in the at least one interference list is greater than or equal to a frequency threshold, performing network optimization on the preset interference source cell.
2. The network optimization method according to claim 1, characterized in that the method further comprises:
acquiring uplink interference noise power of each cell included in each of a plurality of areas;
Determining an interference cell ratio of each area and uplink interference noise power corresponding to each area, wherein the interference cell ratio of each area is a ratio between the number of cells in which uplink interference noise power in each area meets a fourth preset condition and the total number of cells in each area, and the uplink interference noise power corresponding to each area is an average value of the uplink interference noise power of the cells in each area;
And when the interference cell ratio of the first area is larger than the ratio threshold and the uplink interference noise power corresponding to the first area meets a fifth preset condition, determining the first area as a target area, wherein the first area is an area included in the plurality of areas.
3. The network optimization method according to claim 1, characterized in that the method further comprises:
Starting an interference test function for each strong far-end interference cell, wherein the interference test function is used for indicating to send a test signal in an uplink symbol of each strong far-end interference cell;
And when the test signal is detected in the downlink symbol of the preset cell and the signal strength of the test signal is larger than a signal strength threshold, determining the preset cell as an interference source cell corresponding to each strong far-end interference cell.
4. A network optimization method according to any one of claims 1-3, characterized in that the number of interfered downlink symbols of each of the cells is N, N e [1,4], the method further comprising:
Determining that the downlink disturbed power of each strong far-end interference cell meets the second preset condition, and the maximum value of N when the preset power difference of each strong far-end interference cell meets the third preset condition;
and adjusting special time slot configuration based on the maximum value of N.
5. A network optimization device, comprising: the device comprises an acquisition module, a determination module and a processing module;
The acquisition module is configured to acquire an interference power of each cell in the plurality of cells on each downlink timeslot, where the interference power of each cell on each uplink timeslot and the interference power of each cell on each special timeslot;
The determining module is configured to determine, as a time slot average power of each cell, an interference power of each cell on each downlink time slot, an interference power of each cell on each uplink time slot, and an average value of an interference power of each cell on each special time slot, where the time slot average power is used to characterize a power situation of each cell in multiple time slots, and the multiple time slots include the uplink time slot, the downlink time slot, and the special time slot;
The determining module is further configured to determine a downlink disturbed power of each cell and a preset power difference of each cell, where the downlink disturbed power is used to characterize a power condition of each cell in an disturbed downlink symbol, and the preset power difference is used to characterize a difference condition between a power condition of each cell in an undisturbed downlink symbol and the downlink disturbed power;
the determining module is further configured to determine at least one strong far-end interference cell from the multiple cells, where an average power of a time slot of each strong far-end interference cell in the at least one strong far-end interference cell meets a first preset condition, a downlink interfered power of each strong far-end interference cell meets a second preset condition, and a preset power difference of each strong far-end interference cell meets a third preset condition;
The determining module is further configured to determine at least one interference list, where one interference list corresponds to one strong far-end interference cell, the interference list includes an identifier of at least one interference source cell, and the at least one interference source cell is a cell that generates far-end interference to the strong far-end interference cell;
The processing module is configured to perform network optimization on a preset interference source cell when the number of times that the identifier of the preset interference source cell appears in the at least one interference list is greater than or equal to a number of times threshold.
6. The network optimization device of claim 5, wherein,
The acquisition module is further configured to acquire uplink interference noise power of each cell included in each of the plurality of areas;
The determining module is further configured to determine an interference cell ratio of each area and an uplink interference noise power corresponding to each area, where the interference cell ratio of each area is a ratio between a number of cells in which uplink interference noise power in each area meets a fourth preset condition and a total number of cells in each area, and the uplink interference noise power corresponding to each area is an average value of uplink interference noise powers of the cells in each area;
The determining module is further configured to determine, when the interference cell ratio of the first area is greater than the ratio threshold and uplink interference noise power corresponding to the first area meets a fifth preset condition, the first area as a target area, where the first area is an area included in the plurality of areas.
7. The network optimization device of claim 5, wherein,
The processing module is further configured to start an interference test function for each strong far-end interference cell, where the interference test function is used to instruct sending a test signal in an uplink symbol of each strong far-end interference cell;
the determining module is further configured to determine the preset cell as an interference source cell corresponding to each strong remote interference cell when the test signal is detected in a downlink symbol of the preset cell and the signal strength of the test signal is greater than a signal strength threshold.
8. The network optimization device according to any one of claims 5-7, wherein the number of interfered downlink symbols in each of the plurality of cells is N, N e [1,4];
The determining module is further configured to determine that the downlink disturbed power of each strong far-end interference cell meets the second preset condition, and the preset power difference of each strong far-end interference cell meets the maximum value of N when the preset power difference of each strong far-end interference cell meets the third preset condition;
The processing module is further configured to adjust a special timeslot configuration based on the maximum value of N.
9. An electronic device, the electronic device comprising:
A processor;
a memory configured to store the processor-executable instructions;
Wherein the processor is configured to execute the instructions to implement the network optimization method of any one of claims 1-4.
10. A computer readable storage medium having instructions stored thereon, which, when executed by an electronic device, cause the electronic device to perform the network optimization method of any of claims 1-4.
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