CN114928853A - 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
CN114928853A
CN114928853A CN202210635284.6A CN202210635284A CN114928853A CN 114928853 A CN114928853 A CN 114928853A CN 202210635284 A CN202210635284 A CN 202210635284A CN 114928853 A CN114928853 A CN 114928853A
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cell
interference
power
downlink
preset
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CN114928853B (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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  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

The invention provides a network optimization method, a network optimization device, electronic equipment and a storage medium, relates to the technical field of communication, and solves the technical problems that in the related technology, a base station cannot determine which base stations or cells generate interference on 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 a preset power difference of each cell; determining at least one strong remote interference cell from the plurality of cells; determining at least one interference list; and when the frequency of the identifier of the preset interference source cell appearing in the at least one interference list is larger than or equal to a frequency threshold value, carrying out 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 and apparatus, an electronic device, and a storage medium.
Background
At present, for a certain base station, the base station may periodically detect an interference noise power on an uplink symbol of the base station, and then when the interference noise power is greater than a certain power threshold, it may be determined that the base station has certain interference.
However, in the above method, the base station cannot determine which base station or which cell generates interference to the base station, and cannot determine the direction in which network optimization needs to be performed, which affects the effectiveness of network optimization.
Disclosure of Invention
The invention provides a network optimization method, a network optimization device, electronic equipment and a storage medium, and solves the technical problems that in the related art, a base station cannot determine which base stations or cells generate interference on the base stations, cannot determine the direction of network optimization, and influences the effectiveness of the network optimization.
In a first aspect, the present invention provides a network optimization method, including: determining a time slot average power of each cell in a plurality of cells included in a target area, a 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 disturbed downlink symbols, and the preset power difference is used for representing the difference condition between the power condition of each cell in undisturbed downlink symbols and the downlink disturbed power; determining at least one strong far-end interference cell from the plurality of 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 remote interference cell, the interference list comprises an identifier of at least one interference source cell, and the at least one interference source cell is a cell generating remote interference to the strong remote interference cell; and when the times of the identifier of the preset interference source cell appearing in the at least one interference list are larger than or equal to the time threshold value, carrying out 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 regions; determining an interference cell ratio of each region and an uplink interference noise power corresponding to each region, where the interference cell ratio of each region is a ratio between the number of cells whose uplink interference noise power satisfies a fourth preset condition in each region and the total number of cells included in each region, and the uplink interference noise power corresponding to each region is an average value of the uplink interference noise powers of the cells included in each region; and when the ratio of the interference cells in 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, determining the first area as the target area, wherein the first area is an area included in the plurality of areas.
Optionally, the determining the average power of the time slot 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 that a test signal is sent in an uplink symbol of each strong far-end interference cell; and when the test signal is detected in the downlink symbols of the preset cell and the signal strength of the test signal is greater than the signal strength threshold, determining the preset cell as an interference source cell corresponding to each strong remote interference cell.
Optionally, the number of interfered downlink symbols in each of the multiple cells is N, N ∈ [1,4], where the network optimization method further includes: determining the maximum value of the N when the downlink interfered power of each strong far-end interfering cell meets the second preset condition and the preset power difference of each strong far-end interfering 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: the device comprises 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 situation of each cell in a plurality of time slots, the downlink interfered power is used to characterize a power situation of each cell in an interfered downlink symbol, and the preset power difference is used to characterize a difference situation between the power situation 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 interfering cell from the multiple cells, where an average power of a timeslot of each strong far-end interfering cell in the at least one strong far-end interfering cell meets a first preset condition, a downlink interfered power of each strong far-end interfering cell meets a second preset condition, and a preset power difference of each strong far-end interfering 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 interfering cell, where the interference list includes an identifier of at least one interfering source cell, and the at least one interfering source cell is a cell that generates far-end interference with the strong far-end interfering 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 threshold.
Optionally, the network optimization device further includes an obtaining module; the acquiring module is used for acquiring uplink interference noise power of each cell included in each of the plurality of regions; the determining module is further configured to determine an interference cell ratio of each region and uplink interference noise power corresponding to each region, where the interference cell ratio of each region is a ratio between the number of cells whose uplink interference noise power in each region meets a fourth preset condition and the total number of cells included in each region, and the uplink interference noise power corresponding to each region is an average value of the uplink interference noise powers of the cells included in each region; the determining module is further configured to determine the first area as the target area when the ratio of the interfering cells in 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, 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 obtaining module is configured to obtain an interference power of each cell in each downlink timeslot, an interference power of each cell in each uplink timeslot, and an interference power of each cell in each special timeslot; the determining module is specifically configured to determine, as the slot average power of each cell, an average value of the interference power of each cell in each downlink slot, the interference power of each cell in each uplink slot, and the interference power of each cell in each special slot.
Optionally, the processing module is further configured to start an interference test function for each strong far-end interfering cell, where the interference test function is used to instruct to send a test signal in an uplink symbol of each strong far-end interfering 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 the downlink symbol of the preset cell and the signal strength of the test signal is greater than a signal strength threshold.
Optionally, the number of interfered downlink symbols in each of the multiple cells is N, where N belongs to [1,4 ]; the determining module is further configured to determine that the downlink interfered power of each strong remote interfering cell meets the second preset condition, and the maximum value of N is obtained when the preset power difference of each strong remote interfering cell meets the third preset condition; the processing module is further configured to adjust the special timeslot 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 above described optional network optimization methods of the first aspect.
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 above-mentioned optional network optimization methods of the first aspect.
According to the network optimization method, the network optimization device, the electronic equipment and the storage medium provided by the invention, the electronic equipment can determine the time slot average power of each cell in a plurality of cells included in a target area, the downlink interfered power of each cell and the preset power difference of each cell, and determine at least one strong far-end interference cell from the plurality of cells. As for each strong far-end interfering cell in the at least one strong far-end interfering cell, the timeslot power of each strong far-end interfering cell satisfies a first preset condition, the downlink interfered power of each strong far-end interfering cell satisfies a second preset condition, and the preset power difference of each strong far-end interfering cell satisfies a third preset condition, which indicates that the average value of the powers of the cell in a plurality of timeslots is larger, the power of the cell in an interfered downlink symbol is larger, and the power condition changes of the interfered downlink symbol and the undisturbed downlink symbol are larger, at this time, the electronic device may determine at least one interference list, specifically, one strong far-end interfering cell corresponds to one list. 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 the number 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 preset interference cell has a strong ability to generate far-end interference, and the electronic device can perform network optimization on the preset interference source cell. In the present invention, the electronic device may determine at least one strong far-end interference cell from a plurality of cells included in the 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, where an interference source cell corresponding to an identifier included in the interference list corresponding to each strong far-end interference cell is a cell that generates far-end interference to the each strong far-end interference cell, that is, the electronic device may determine an interference source cell that generates far-end interference to the each strong far-end interference cell, so that the determination efficiency of the interference source cell can be improved. Then, the electronic device may perform network optimization on an interference source cell (i.e., a preset interference source cell, which has a strong capability of generating far-end interference) corresponding to an identifier with a large number of occurrences (specifically, greater than or equal to a number threshold) in at least one interference list, so as to determine a direction of network optimization and improve effectiveness of network optimization. Furthermore, the electronic device can reduce the far-end interference capability of the preset interference source cell and improve the communication level of a plurality of cells by performing 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 flowchart of a network optimization method according to an embodiment of the present invention;
fig. 4 is a schematic flowchart of another network optimization method according to an embodiment of the present invention;
fig. 5 is a schematic flowchart of another network optimization method according to an embodiment of the present invention;
fig. 6 is a schematic diagram of a downlink timeslot configuration according to an embodiment of the present invention;
fig. 7 is a schematic flowchart of another network optimization method according to an embodiment of the present invention;
fig. 8 is a schematic flowchart of another network optimization method according to an embodiment of the present invention;
fig. 9 is a schematic structural diagram of a network optimization apparatus 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, apparatus, electronic device and storage medium according to the embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
The terms "first" and "second" and the like in the specification and drawings of the present application are used for distinguishing different objects and are not used for describing a specific order of the objects, for example, the first preset condition and the second preset condition and the like are used for distinguishing different preset conditions and are not used for describing a specific order of the preset conditions.
Furthermore, the terms "including" and "having," and any variations thereof, as referred to 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 steps or elements but may 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 invention, words such as "exemplary" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "exemplary" or "e.g.," an embodiment of the present invention 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.
The term "and/or" as used herein includes the use of either or both of the two methods.
In the description of the present application, the meaning of "a plurality" means two or more unless otherwise specified.
Based on the description in the background art, in the related art, although a base station can determine that there is some interference in the base station, it cannot determine which base station or which cell generates interference to the base station. Based on this, embodiments of the present invention provide a network optimization method, an apparatus, 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 that generates far-end interference for each strong far-end interference cell, that is, the electronic device may determine an interference source cell that generates far-end interference for each strong far-end interference cell, so that determination efficiency of the interference source cell can be improved. Then, the electronic device may perform network optimization on an interference source cell (that is, a preset interference source cell, where a capacity of the preset interference source cell to generate far-end interference is strong) corresponding to an identifier that appears more frequently (specifically, more than or equal to a frequency threshold) in at least one interference list, so as to determine a direction of the network optimization and improve effectiveness of the network optimization. Furthermore, the electronic device can reduce the far-end interference capability of the preset interference source cell and improve the communication level of a plurality of cells by performing network optimization on the preset interference source cell.
The network optimization method, the network optimization device, the electronic device and the storage medium provided by the embodiment of the invention can be applied to a communication system, and as shown in fig. 1, 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 connections between the above-mentioned devices or service functions may be wireless connections, and for convenience, the connections between the devices are shown by solid lines 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 in a downlink direction to another base station (e.g., base station 102). Base station 102 may transmit downlink signals or downlink data in its downlink direction to base station 101.
For example, as shown in fig. 2, a base station provided in an embodiment of the present invention may include: parts 20 and 21. 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, base station control and the like. Portion 20 may be generally referred to as a transceiver unit, transceiver, transceiving circuitry, or transceiver, etc. Part 21 is typically the control center of the base station and may be generally referred to as a processing unit.
And 20, a transceiver unit, which includes an antenna and a radio frequency unit, or only includes a radio frequency unit or a part thereof, where the radio frequency unit is mainly used for radio frequency processing. Alternatively, a device for implementing the receiving function in section 20 may be regarded as a receiving unit, and a device for implementing the transmitting function may be regarded as a transmitting unit, that is, section 20 includes a receiving unit and a transmitting unit. A receiving unit may also be referred to as a receiver, a receiving circuit, or the like, and a transmitting unit may be referred to as a transmitter, a transmitting circuit, or the like.
Portion 21 may comprise one or more boards or chips, each of which may comprise 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 a plurality of single boards exist, the single boards can be interconnected to increase the processing capacity. As an alternative embodiment, multiple boards may share one or more processors, or multiple boards may share one or more memories. The memory and the processor may be integrated together or may be independent. In some embodiments, the 20 and 21 portions may be integrated or may be separate. In addition, all functions in the part 21 may be integrated in one chip, or part of the functions may be integrated in one chip to implement another part of the functions may be integrated in one or more other chips to implement, which is not limited in this embodiment of the present invention.
The network optimization method, the network optimization device, the electronic device and the storage medium provided by the embodiments of the present invention are applied to a scenario of optimizing a network (specifically, a base station and a cell in the network), and after the electronic device determines a time slot average power of each cell, a downlink interfered power of each cell and a preset power difference of each cell in a plurality of cells included in a target area, the network optimization method provided by the embodiments of the present invention may be used to perform network optimization on a preset interference source cell.
As shown in fig. 3, the network optimization method provided in the embodiment of the present invention may include S101 to 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 interfered power is used for representing the power condition of each cell in an interfered 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 interfered power.
It should be understood that a plurality of areas may be included in the network to be optimized, the target area being one or more of the plurality of areas. One cell included in the target area is a cell of one 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 a 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 an interfered downlink line (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 powers of the cell in the undisturbed downlink symbols (hereinafter referred to as a second average value), and then determine a difference value between the first average value and the second average value as the preset power difference.
In an optional implementation manner, the parameters related to power (including the slot average power, the downlink disturbed power, and the preset power difference) may be converted into a value on each Physical Resource Block (PRB). Specifically, for the downlink disturbed power, a ratio between the downlink disturbed power and the number of Resource Blocks (RBs) may be determined as a power condition of each PRB of each cell in the disturbed downlink symbol.
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 the time slot of a certain cell in the above-mentioned multiple cells meets the first preset condition, it indicates that the average value of the power of the cell in the multiple 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 disturbed power of the downlink satisfies the third preset condition, it indicates that the power condition of the disturbed downlink symbol and the undisturbed downlink symbol in the downlink symbol of the cell has a large change. When the average value of the power of the cell in the multiple time slots is larger, the power of the cell in the interfered downlink symbol is larger, and the power situation of the interfered downlink symbol and the power situation of the non-interfered downlink symbol are changed greatly, the electronic device may determine the cell as a strong far-end interfering cell.
Optionally, 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 (decibel milliwatts), the second power threshold may be-90 dbm, and the third power threshold may be 20db (decibel).
S103, the electronic equipment determines at least one interference list.
The method comprises the steps that an interference list corresponds to a strong far-end interference cell, the interference list comprises an identifier of at least one interference source cell, and the at least one interference source cell is a cell generating far-end interference on the strong far-end interference cell.
It should be understood that, for each strong far-end interfering cell in the at least one strong far-end interfering cell, the electronic device may determine an interference list corresponding to the each strong far-end interfering cell, where a cell corresponding to an identifier included in the interference list (i.e., an identifier of an interference source cell) is a cell generating far-end interference for the each strong far-end interfering cell.
Alternatively, the identifier of one interference source cell may be a Physical Cell Identifier (PCI) of the interference source cell.
And S104, when the frequency of the identifier of the preset interference cell appearing in the at least one interference list is larger than or equal to a frequency threshold value, 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 is understood that for an interfering cell, the interfering cell may cause far-end interference to one or more strong far-end interfering cells. When the interfering cell generates far-end interference to a strong far-end interfering cell, the identity of the interfering cell will appear 1 time, and it can also be understood that the identity of the interfering cell will be included in the interference list corresponding to the strong far-end interfering cell.
In the embodiment of the present invention, when the number of times that the identifier of the preset interference cell appears in at least one interference list is greater than or equal to the number threshold, it indicates that the preset interference cell generates far-end interference for a large number of cells in at least one strong far-end interference cell, that is, the capacity of the preset interference cell for generating far-end interference is strong, and the electronic device may perform network optimization on the preset interference source cell.
In the embodiment of the present invention, the electronic device performs network optimization on the preset interference source cell, which can reduce the capability (or level) of the preset interference source cell to generate far-end interference to multiple cells included in the network to be optimized, and can improve the communication level of the multiple cells.
In an implementation manner of the embodiment of the present invention, the network optimization performed by the electronic device on the preset interfering cell may specifically be to reduce an antenna downtilt angle of the preset interfering cell, reduce the transmission power of the preset interfering cell, adjust the scene beam configuration of the preset interfering cell, and the like.
The technical scheme provided by the embodiment can at least bring the following beneficial effects: as known from S101 to S104, the electronic device may determine an average power of timeslots of each of a plurality of cells included in the target area, a downlink interfered power of each of the plurality of cells, and a preset power difference of each of the plurality of cells, and determine the at least one strong far-end interfering cell from the plurality of cells. As for each strong far-end interfering cell in the at least one strong far-end interfering cell, the timeslot power of each strong far-end interfering cell satisfies a first preset condition, the downlink interfered power of each strong far-end interfering cell satisfies a second preset condition, and the preset power difference of each strong far-end interfering cell satisfies a third preset condition, which indicates that the average value of the powers of the cell in a plurality of timeslots is larger, the power of the cell in an interfered downlink symbol is larger, and the power condition changes of the interfered downlink symbol and the undisturbed downlink symbol are larger, at this time, the electronic device may determine at least one interference list, specifically, one strong far-end interfering cell corresponds to one list. 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 the number 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 preset interference cell has strong ability to generate far-end interference, and the electronic device can perform network optimization on the preset interference source cell. In the embodiment of the present invention, 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, where an interference source cell corresponding to an identifier included in the interference list corresponding to each strong far-end interference cell is a cell that generates far-end interference to the each strong far-end interference cell, that is, the electronic device may determine an interference source cell that generates far-end interference to the each strong far-end interference cell, so that determination efficiency of the interference source cell can be improved. Then, the electronic device may perform network optimization on an interference source cell (i.e., a preset interference source cell, which has a strong capability of generating far-end interference) corresponding to an identifier with a large number of occurrences (specifically, greater than or equal to a number threshold) in at least one interference list, so as to determine a direction of network optimization and improve effectiveness of network optimization. Furthermore, the electronic device can reduce the far-end interference capability of the preset interference source cell and improve the communication level of a plurality of cells by performing network optimization on the preset interference source cell.
Referring to fig. 3, as shown in fig. 4, the network optimization method according to the embodiment of the present invention further includes S105-S107.
S105, the electronic equipment acquires uplink interference noise power of each cell included in each area in 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 whole area corresponding to the network to be optimized according to a certain area radius and a certain distance threshold.
Illustratively, the area radius may be 40km (kilometers) and the distance threshold may be 5 km. Specifically, for each of the plurality of regions, the 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.
Optionally, the uplink interference noise power of each cell may be an uplink interference noise power of each cell when the network is idle (for example, between 3 am and 4 am).
S106, the electronic equipment determines the ratio of the interference cell of each area and the uplink interference noise power corresponding to each area.
The ratio of the interference cells in each region is a ratio between the number of cells whose uplink interference noise power satisfies a fourth preset condition in each region and the total number of cells included in each region, and the uplink interference noise power corresponding to each region is an average value of the uplink interference noise powers of the cells included in each region.
It should be understood that, after obtaining 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 satisfies the fourth preset condition, it indicates that the interference strength received by the cell is relatively large, and the cell can be understood as a strong interference cell. The electronic device determines the ratio of interfering cells for an area, which may be understood as determining the ratio between the number of strong interfering cells comprised within the area and the total number of cells comprised within the area.
Optionally, the fourth preset condition may be a fourth power threshold. Illustratively, the fourth power threshold may be-95 dbm.
S107, when the ratio of the interference cells in 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, 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 understood that when the ratio of the interfering cells of the first area is greater than the ratio threshold, it indicates that the ratio of the interfering cells of the first area is greater, and specifically, the number of strong interfering cells included in the first area is greater. 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 relatively large, specifically, the interfered strength of the first area is relatively large. When there are more strong interference cells included in the first cell and the strength of the first area being interfered is greater, the electronic device may determine the first area as a target area.
It is to be understood that the fifth preset condition may be a fifth power threshold.
Illustratively, the ratio threshold may be 0.05, and the fifth power threshold may be-100 dbm.
It should be noted that there may be one or more target regions (or first regions), and the specific number of the target regions is not specifically limited in the embodiment of the present invention.
The technical scheme provided by the embodiment can at least bring the following beneficial effects: as can be seen from S105 to S107, the electronic device may obtain uplink interference noise power of each cell included in each of the multiple regions, and determine an interference cell ratio of each region and uplink interference noise power corresponding to each region. When the ratio of the interference cells in the first area is greater than the ratio threshold and the uplink interference noise power corresponding to the first area meets the fifth preset condition, it is described that there are many strong interference cells included in the first area and the interfered strength of the first area is high, and at this time, the electronic device may determine the first area as a target area, so that each target area requiring network optimization can be accurately and effectively determined.
In an optional implementation manner, the electronic device may further determine a ratio of the strong interfering cells in each of the multiple areas, specifically, a number of cells in each of the multiple areas whose uplink signal-to-noise power satisfies a sixth preset condition (the sixth preset condition may be a sixth power threshold, where the sixth power threshold is smaller than the fourth power threshold, and for example, the sixth power threshold may be-101 dbm). Furthermore, when the ratio of the stronger interfering cell in the first area is greater than a certain ratio threshold (e.g., 0.15), the ratio of the interfering cell in 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 meets 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 multiple timeslots may include an uplink timeslot, a downlink timeslot, and a special timeslot. Referring to fig. 3, as shown in fig. 5, the electronic device determines the timeslot average power of each cell, which may specifically include S1011 to S1012.
S1011, the electronic device obtains an interference power of each downlink time slot of each of the multiple cells, an interference power of each uplink time slot of each cell, and an interference power of each special time slot of each cell.
It should be understood that only downlink symbols are included in the downlink slot (D slot) and only uplink symbols are included in the uplink slot (U slot). For a special slot (S slot), the special slot includes downlink symbols, uplink symbols and Guard Period (GP) symbols.
It can be understood that the electronic device may obtain the interference power in each downlink symbol included in each downlink time slot by each cell, and then obtain the interference power on each downlink time 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 acquiring the interference power of each cell in each uplink timeslot and the interference power of each cell in each special timeslot is the same as or similar to the process of acquiring the interference power of each downlink timeslot, and is not described herein again.
The embodiment of the invention is suitable for a Time Division (TD) system in a 3.5GHz (gigahertz) system of a 5G network, and can specifically use 100M frequency band resources included in the TD system.
In an implementation manner of the embodiment of the present invention, for a 100M band resource, the 100M band resource may be divided into 10 slots (slots), where the downlink and uplink slot configurations may be 7: 3.
Specifically, as shown in fig. 6, the 10 timeslots are an uplink timeslot 201, an uplink timeslot 202, an uplink timeslot 203, a special timeslot 204, a downlink timeslot 205, an uplink timeslot 206, an uplink timeslot 207, a special timeslot 208, a downlink timeslot 209, and a downlink timeslot 210, respectively. (the first row in fig. 6 characterizes the upstream time slot, the special time slot and the downstream time slot with D, S and U, respectively).
It should be noted that, for a special timeslot, since there are more downlink symbols than uplink symbols (and GP symbols) included in the special timeslot, a special timeslot can also be understood as a downlink timeslot when performing downlink and uplink timeslot configuration.
In the embodiment of the present invention, one slot (uplink slot, downlink slot, or special 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 timeslot configuration for characterizing the occupation ratio among downlink symbols, GP symbols, and uplink symbols. Specifically, DwPTS may represent downlink symbols, GAP may represent GP symbols, and UpPTS may represent uplink symbols.
Illustratively, continuing with fig. 6, the special time slot 204 includes downlink symbols 204A, downlink symbols 204B, downlink symbols 204C, downlink symbols 204D, downlink symbols 204E, downlink symbols 204F, downlink symbols 204G, downlink symbols 204H, downlink symbols 204I, downlink symbols 204J, GP, symbols 204K, GP, symbols 204L, uplink symbols 204M, and uplink symbols 204N. (the second row in FIG. 6 represents the uplink symbol, GP symbol and downlink symbol with D, GP and U, respectively)
S1012, the electronic device determines the interference power of each cell in each downlink timeslot, and the average value of the interference power of each cell in each special timeslot as the timeslot average power of each cell.
It should be understood that, after acquiring the interference power of each cell on each downlink time slot, and the interference power of each cell on each special time slot, the electronic device determines the interference power of each cell on each downlink time slot, an average value of the interference power of each cell on each downlink time slot and the interference power of each cell on each special time slot, and determines the average value as the time slot average power of each cell.
The technical scheme provided by the embodiment can at least bring the following beneficial effects: as known from S1011-S1012, the electronic device may obtain the interference power of each cell in the plurality of cells in each downlink time slot, the interference power of each cell in each uplink time slot, and the interference power of each cell in each special time slot. The plurality of time slots include downlink time slots, uplink time slots and special time slots, and the interference power on each downlink time slot can represent the interference situation of each downlink time slot, the interference power on each uplink time slot can represent the interference situation on each uplink time slot, and the interference power on each special time slot can 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 quickly determine the time slot average power of each cell, and further improves the determination efficiency of the strong far-end interference cell.
With reference to fig. 3, as shown in fig. 7, the network optimization method provided in the embodiment of the present invention may further include S108 to S109.
And S108, the electronic equipment starts an interference test function for each strong far-end interference cell.
Wherein the interference test function is configured to instruct to transmit a test signal in an uplink symbol of each strong far-end interfering cell.
In an alternative implementation, each strong remote interfering cell may transmit the test signal in the last uplink symbol (e.g., the 10 th uplink symbol described above) in its special timeslot.
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 strength of the test signal is greater than the signal strength threshold, the electronic device determines the preset cell as an interference source cell corresponding to each strong remote interference cell.
It should be understood that, when a test signal is detected in a downlink symbol of a preset cell and the signal strength of the test signal is greater than a signal strength threshold, it indicates that the preset cell may receive the test signal sent by the strong far-end interfering cell, and the signal strength of the test signal is greater, at this time, the electronic device may determine the preset cell as an interference source cell corresponding to the strong far-end interfering cell, that is, a cell generating strong far-end interference to the strong far-end interfering cell.
In an alternative implementation, the detecting may detect a plurality of test signals from downlink symbols of the predetermined cell, where one test signal may include an identifier of a strong remote interfering cell. When the first test signal includes an identifier of a first strong far-end interfering cell, the signal strength of the first test signal is greater than the signal strength threshold, and the second test signal includes an identifier of a second strong far-end interfering 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 an interference source cell corresponding to the first strong far-end interfering cell and an interference source cell corresponding to the second strong far-end interfering cell.
The technical scheme provided by the embodiment can at least bring the following beneficial effects: as known from S108 to S109, the electronic device may start an interference test function for each strong remote interfering cell, that is, instruct to send a test signal in an 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, it is indicated that the preset cell may receive the test signal sent by the strong far-end interfering cell and the signal strength of the test signal is greater, and at this time, the electronic device may determine the preset cell as the interference source cell corresponding to each strong far-end interfering cell. Each interference source cell corresponding to each strong far-end interference cell can be accurately and effectively determined, and the determination efficiency of at least one interference list can be improved.
In an implementation manner of the embodiment of the present invention, the number of interfered downlink symbols in each of the multiple cells is N, N belongs to [1,4 ]. Referring to fig. 3, as shown in fig. 8, the network optimization method according to the embodiment of the present invention further includes S110 to S111.
S110, the electronic device determines that the downlink interfered power of each strong far-end interference cell meets a second preset condition, and the maximum value of N is obtained when the preset power difference of each strong far-end interference cell meets a third preset condition.
In conjunction with the description of the above embodiments, it should be understood that the downlink interfered power of a strong far-end interfering cell is used to characterize the power condition of the strong far-end interfering cell in the interfered downlink symbol (specifically, the average value of the power of the strong far-end interfering cell in each interfered downlink symbol may be used). The preset power difference of a strong far-end interfering cell is used to represent a difference between a power condition of the strong far-end interfering cell in an undisturbed downlink symbol and a downlink interfered power of the strong far-end interfering cell (specifically, a difference between the first average value and the second average value).
For example, it is assumed that when N (i.e., the number of interfered downlink symbols of the strong far-end interfering cell) is 1, 2, and 3, the downlink interfered power of a certain strong far-end interfering cell meets the second preset condition, and the preset power difference of the strong far-end interfering cell meets the third preset condition; when N is 4, the downlink interfered power of the strong remote interfering cell does not satisfy the second preset condition, and the preset power difference of the strong remote interfering cell does not satisfy the third preset condition. The electronic device may determine that the maximum value of N is 3.
It is understood that there is a certain propagation delay (or propagation duration) between a cell and a strong remote interfering cell.
In one case, the propagation delay between the cell and the strong far-end interfering cell is within 2 symbols, and when the downlink signal of the cell reaches the strong far-end interfering cell, the strong far-end interfering cell is in a GP state, that is, no uplink and downlink signal transmission is performed, that is, the downlink signal of the cell hardly affects the performance of the base station. The embodiment of the invention defaults that under the condition, the strong far-end interference cell has no interfered downlink symbol.
In another case, the propagation delay between the cell and the strong far-end interfering cell is 2-4 symbols, and when the downlink symbol of the cell reaches the strong far-end interfering cell, the strong far-end interfering cell is currently 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 interfering cell. The embodiment of the present invention defaults that under such a condition, the strong far-end interfering cell has 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 interfering cell is 4-6 symbols, when the downlink symbol of the cell reaches the strong far-end interfering cell, the strong far-end interfering cell is currently on the first 1-2 uplink symbols in the downlink timeslot, and the downlink symbol of the cell affects the first 1-2 uplink symbols in the downlink timeslot and the 2 uplink symbols in the special timeslot of the strong far-end interfering cell. The embodiment of the present invention defaults that under such a condition, the strong far-end interfering 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 interfering cell is greater than 6 symbols, and at this time, because the propagation delay between the cell and the strong far-end interfering cell is large and the signal loss is severe, the interference condition generated by the cell on the downlink symbol of the strong far-end interfering cell can be ignored, that is, the strong far-end interfering cell is defaulted to have no interfered downlink symbol under the condition.
In the embodiment of the present invention, the propagation distance of one symbol may be 10.7km, and in combination with the description of the above 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+ N10 km ]. N is the number of interfered downlink symbols in the strong remote cell.
And S111, the electronic equipment adjusts the special time slot configuration based on the maximum value of the N.
In an alternative implementation manner, the adjusted special timeslot configuration may be (10-M): 2+ M):2, where M is the maximum value of the above N.
For example, assuming that the timeslot 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 adjusted special implementation configuration is 8:4: 2.
It should be understood that, the electronic device may widen the GP symbol or shorten the uplink symbol by adjusting the configuration, so that the interference probability of the downlink symbol of the interference source base station to the uplink symbol of the strong far-end interference cell is greatly reduced, and the communication quality of the strong far-end interference cell can be improved.
The technical scheme provided by the embodiment can at least bring the following beneficial effects: as known from S110 to S111, the electronic device may determine a maximum value of N (i.e., the number of interfered downlink symbols of each strong far-end interfering cell) when the downlink interfered power of each strong far-end interfering cell satisfies the second preset condition and the preset power difference of each strong far-end interfering cell satisfies the third preset condition, and adjust the special timeslot 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 far-end interference cell can be reduced, and the communication quality of the strong far-end interference cell is improved.
In the embodiment of the present invention, the electronic device and the like may be divided into functional modules according to the above method examples, for example, each functional module may be divided corresponding to each function, or two or more functions may be integrated into one processing module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. It should be noted that, the division of the modules in the embodiment of the present invention is schematic, and is only one logic function division, and another division manner may be available in actual implementation.
In the case of dividing each functional module according to each function, fig. 9 shows a schematic diagram of a possible structure of the network optimization device in the foregoing embodiment, as shown in fig. 9, the network optimization device 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 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 situation of each cell in a plurality of time slots, the downlink interfered power is used to characterize a power situation of each cell in an interfered downlink symbol, and the preset power difference is used to characterize a difference situation between the power situation 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 interfering cell from the multiple cells, where an average power of a timeslot of each strong far-end interfering cell in the at least one strong far-end interfering cell meets a first preset condition, a downlink interfered power of each strong far-end interfering cell meets a second preset condition, and a preset power difference of each strong far-end interfering 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 interfering cell, and the interference list includes an identifier of at least one interfering source cell, and the at least one interfering source cell is a cell that generates remote interference to the strong remote interfering cell.
A processing module 302, 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 threshold.
Optionally, the network optimization device 30 further includes an obtaining module 303.
An obtaining module 303, configured to obtain uplink interference noise power of each cell included in each of the multiple regions.
The determining module 301 is further configured to determine an interference cell ratio of each area and uplink interference noise power corresponding to each area, where the interference cell ratio of each area is a ratio between the number of cells whose uplink interference noise power in each area 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.
The determining module 301 is further configured to determine the first area as the target area when the ratio of the interfering cells in 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, where the first area is an area included in the multiple 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 an interference power of each cell in each downlink timeslot, an interference power of each cell in each uplink timeslot, and an interference power of each cell in each special timeslot.
The determining module 301 is specifically configured to determine, as the average power of each cell, the interference power of each cell in each downlink timeslot, the interference power of each cell in each uplink timeslot, and the average value of the interference power of each cell in each special timeslot.
Optionally, the processing module 302 is further configured to start an interference test function for each strong far-end interfering cell, where the interference test function is used to instruct to send a test signal in an uplink symbol of each strong far-end interfering cell.
The determining module 301 is further configured to determine, 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 a signal strength threshold, the preset cell as an interference source cell corresponding to each strong remote-end interfering cell.
Optionally, the number of interfered downlink symbols in each of the plurality of cells is N, N ∈ [1,4 ].
The determining module 301 is further configured to determine that the downlink interfered power of each strong far-end interfering cell meets the second preset condition, and the maximum value of N when the preset power difference of each strong far-end interfering cell meets the third preset condition.
The processing module 302 is further configured to adjust the special timeslot configuration based on the maximum value of N.
In the case of an integrated unit, fig. 10 shows a schematic diagram of a possible structure of the network optimization device according to the above 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.
The processing module 401 may be a processor or a controller. The communication module 402 may be a transceiver, a transceiving circuit or a communication interface, etc. The storage 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 by a bus. The bus may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc.
It should be understood that, in the various embodiments of the present invention, the sequence numbers of the above-mentioned processes do not imply an order of execution, and the order of execution of the processes should be determined by their functions and internal logics, and should not limit the implementation processes of the embodiments of the present invention in any way.
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 technical 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 is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one position, or may be distributed on multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented using a software program, 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. The procedures or functions described in accordance with the embodiments of the invention are all or partially effected when the computer program instructions are loaded and executed on a computer. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored on a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website, computer, server, or data center to another website, computer, server, or data center via wire (e.g., coaxial cable, fiber optics, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or can comprise one or more data storage devices, such as a server, a data center, 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 (SSD)), among others.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered 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 (12)

1. A method for network optimization, comprising:
determining a time slot average power of each cell in a plurality of cells included in a target area, a downlink disturbed power of each cell and a preset power difference of each cell, wherein the time slot average power is used for representing a power situation of each cell in a plurality of time slots, the downlink disturbed power is used for representing a power situation of each cell in a disturbed downlink symbol, and the preset power difference is used for representing a difference situation between the power situation of each cell in an undisturbed downlink symbol and the downlink disturbed power;
determining at least one strong far-end interference cell from the plurality of 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 an identifier 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 the identifier of the preset interference source cell appearing in the at least one interference list is larger than or equal to a frequency threshold value, carrying out network optimization on the preset interference source cell.
2. The method of claim 1, further comprising:
acquiring uplink interference noise power of each cell included in each of a plurality of regions;
determining an interference cell ratio of each region and an uplink interference noise power corresponding to each region, where the interference cell ratio of each region is a ratio between the number of cells whose uplink interference noise power in each region meets a fourth preset condition and the total number of cells included in each region, and the uplink interference noise power corresponding to each region is an average value of the uplink interference noise powers of the cells included in each region;
when the ratio of the interference cell in a first area is greater than a 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, where the first area is an area included in the multiple areas.
3. The method of claim 2, wherein the plurality of timeslots include an uplink timeslot, a downlink timeslot, and a special timeslot, and wherein determining the average power per timeslot for each cell comprises:
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.
4. The method of claim 1, further comprising:
starting an interference test function for each strong far-end interference cell, wherein the interference test function is used for indicating that a test signal is sent in an uplink symbol of each strong far-end interference cell;
and when the test signal is detected in the downlink symbol of a preset cell and the signal strength of the test signal is greater than a signal strength threshold, determining the preset cell as an interference source cell corresponding to each strong remote interference cell.
5. The method of any of claims 1-4, wherein the number of interfered downlink symbols per cell in the plurality of cells is N, N e [1,4], and wherein the method further comprises:
determining the maximum value of N when 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 third preset condition;
adjusting a special time slot configuration based on the maximum value of N.
6. A network optimization apparatus, comprising: the device comprises 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 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 interfering cell from the multiple cells, where an average power of a time slot of each strong far-end interfering cell in the at least one strong far-end interfering cell meets a first preset condition, a downlink interfered power of each strong far-end interfering cell meets a second preset condition, and a preset power difference of each strong far-end interfering 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 interfering cell, where the interference list includes an identifier of at least one interfering source cell, and the at least one interfering source cell is a cell that generates far-end interference with the strong far-end interfering 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 threshold.
7. The network optimization device of claim 6, further comprising an acquisition module;
the acquiring module is configured to acquire uplink interference noise power of each cell included in each of the plurality of regions;
the determining module is further configured to determine an interference cell ratio of each region and an uplink interference noise power corresponding to each region, where the interference cell ratio of each region is a ratio between the number of cells whose uplink interference noise power satisfies a fourth preset condition in each region and the total number of cells included in each region, and the uplink interference noise power corresponding to each region is an average value of the uplink interference noise powers of the cells included in each region;
the determining module is further configured to determine a first region as the target region when the ratio of the interference cells in the first region is greater than a ratio threshold and the uplink interference noise power corresponding to the first region meets a fifth preset condition, where the first region is a region included in the multiple regions.
8. The network optimization device of claim 7, wherein the plurality of timeslots include an uplink timeslot, a downlink timeslot, and a special timeslot, the network optimization device further comprising an acquisition module;
the obtaining module is configured to obtain an interference power of each cell in each downlink time slot, an interference power of each cell in each uplink time slot, and an interference power of each cell in each special time slot;
the determining module is specifically configured to determine, as the average power of each cell, the interference power of each cell in each downlink time slot, the interference power of each cell in each uplink time slot, and the average value of the interference power of each cell in each special time slot.
9. The network optimization device of claim 6,
the processing module is further configured to start an interference test function for each strong far-end interfering cell, where the interference test function is used to instruct sending of a test signal in an uplink symbol of each strong far-end interfering 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.
10. The network optimization apparatus according to any one of claims 6 to 9, 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 interfered power of each strong far-end interfering cell meets the second preset condition, and the maximum value of N when the preset power difference of each strong far-end interfering 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.
11. An electronic device, characterized in that the electronic device comprises:
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 1-5.
12. A computer-readable storage medium having instructions stored thereon, wherein the instructions in the computer-readable storage medium, when executed by an electronic device, enable the electronic device to perform the network optimization method of any of claims 1-5.
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Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101662302A (en) * 2008-08-26 2010-03-03 中兴通讯股份有限公司 Method and device for estimating signal-to-interference ratio
CN102065462A (en) * 2011-01-21 2011-05-18 新邮通信设备有限公司 Method and device for measuring noise interference
CN102655652A (en) * 2012-01-05 2012-09-05 电信科学技术研究院 Method and equipment for detecting far-end interference
JP2014127976A (en) * 2012-12-27 2014-07-07 Nec Corp Radio communication system, base station device, radio resource control method, and base station control program
US20150256320A1 (en) * 2012-10-08 2015-09-10 Qualcomm Incorporated Enhanced uplink and downlink power control for lte tdd eimta
US20170006501A1 (en) * 2014-02-01 2017-01-05 Telefonaktiebolaget Lm Ericsson (Publ) Methods for Detecting Interferers for Handling Interference Mitigation
US20200213072A1 (en) * 2018-12-27 2020-07-02 Electronics And Telecommunications Research Institute Method and device for transmitting and receiving signal on basis of full duplex communication
CN111436063A (en) * 2019-01-11 2020-07-21 海信集团有限公司 Network side equipment and method for carrying out remote interference suppression
CN113676198A (en) * 2021-08-23 2021-11-19 深圳市美科星通信技术有限公司 Anti-interference method and anti-interference device for wireless signals

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101662302A (en) * 2008-08-26 2010-03-03 中兴通讯股份有限公司 Method and device for estimating signal-to-interference ratio
CN102065462A (en) * 2011-01-21 2011-05-18 新邮通信设备有限公司 Method and device for measuring noise interference
CN102655652A (en) * 2012-01-05 2012-09-05 电信科学技术研究院 Method and equipment for detecting far-end interference
US20150256320A1 (en) * 2012-10-08 2015-09-10 Qualcomm Incorporated Enhanced uplink and downlink power control for lte tdd eimta
JP2014127976A (en) * 2012-12-27 2014-07-07 Nec Corp Radio communication system, base station device, radio resource control method, and base station control program
US20170006501A1 (en) * 2014-02-01 2017-01-05 Telefonaktiebolaget Lm Ericsson (Publ) Methods for Detecting Interferers for Handling Interference Mitigation
US20200213072A1 (en) * 2018-12-27 2020-07-02 Electronics And Telecommunications Research Institute Method and device for transmitting and receiving signal on basis of full duplex communication
CN111436063A (en) * 2019-01-11 2020-07-21 海信集团有限公司 Network side equipment and method for carrying out remote interference suppression
CN113676198A (en) * 2021-08-23 2021-11-19 深圳市美科星通信技术有限公司 Anti-interference method and anti-interference device for wireless signals

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
HUAWEI, HISILICON: "R1-131481 "System Simulations for UL Co-channel Interference Scenario - Full Buffer"", 3GPP TSG_RAN\\WG1_RL1, no. 1, 6 April 2013 (2013-04-06) *
NTT DOCOMO, FUJITSU, MITSUBISHI ELECTRIC, SHARP: "R1-050588 "Radio Parameter Set for Single-Carrier Based Radio Access in Evolved UTRA Uplink"", 3GPP TSG_RAN\\WG1_RL1, no. 1, 16 June 2005 (2005-06-16) *
李莉;孙长印;: "重叠虚拟小区基于分级结构的联合功率控制算法", 现代电子技术, no. 23, 3 December 2018 (2018-12-03) *
王军虎;王永生;龚园园;: "OFDMA系统功率控制技术研究及改进算法", 计算机应用研究, no. 10, 15 October 2009 (2009-10-15) *

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