Method, apparatus, electronic device and medium for collaborative management of interference signals

Abstract

The present application discloses a method, apparatus, electronic device and medium for collaborative management of interference signals. By applying the technical solution of the present application, a terminal can be used to send an interference measurement report reflecting the intensity of the interference signal output by it to an interfering base station with excessively high energy of the received interference signal, so as to realize the coordination of inter-cell interference in a highly dynamic system in an intelligent manner among multiple interfering base stations, and at the same time effectively improve the throughput of the communication system. Furthermore, it solves the problem of insufficient anti-interference ability in the 6G communication system caused by the lack of a method capable of realizing collaborative management of interference signals in the related art.

Description

Technical Field

[0001] The present application relates to data processing technologies, and in particular, to a method, apparatus, electronic device, and medium for collaborative management of interference signals. Background Art

[0002] With the increase in frequency in the 6G communication system and the need to ensure large-scale machine communication access, the deployment of base stations will become more and more intensive. Among various potential solutions to enhance spectrum efficiency, the distributed RAN architecture has been proven to be a practical and effective solution.

[0003] Among them, in order to adapt to the distributed architecture of 6G RAN and reduce the additional overhead brought by the centralized intelligent interference management scheme, the interference coordination mechanism for 6G should have the characteristics of distributed intelligence. However, enhancing the anti-interference ability of one or some cells is far from enough. It is necessary to enhance the ability of cooperation between cells for interference coordination. Therefore, the distributed intelligent interference coordination mechanism must have cooperation. Therefore, how to design a method capable of realizing collaborative management of interference signals has become a problem to be solved. Summary of the Invention

[0004] Embodiments of the present application provide a method, apparatus, electronic device, and medium for collaborative management of interference signals, which are used to solve the problem of insufficient anti-interference ability in the 6G communication system caused by the lack of a method capable of realizing collaborative management of interference signals in the related art.

[0005] Among them, according to one aspect of the embodiments of the present application, a method for collaborative management of interference signals, which is applied to a terminal, includes:

[0006] Receiving multiple downlink signals sent by multiple base stations;

[0007] Based on the interference signals existing in the multiple downlink signals, selecting at least one interfering base station existing among the multiple base stations;

[0008] Obtaining an interference measurement report for characterizing the signal strength of the interference signal output by the interfering base station, and sending the interference measurement report to the interfering base station, so that the interfering base station reduces the signal strength of the interference signal based on the interference measurement report.

[0009] Optionally, in another embodiment based on the above method of the present application, the selecting at least one interfering base station existing among the multiple base stations based on the interference signals existing in the multiple downlink signals includes:

[0010] Analyzing the interference energy of each downlink signal;

[0011] Take the downlink signal with interference energy higher than the threshold as the interference signal, and obtain the interfering base station corresponding to the interference signal.

[0012] Optionally, in another embodiment based on the above method of the present application, the obtaining of the interference measurement report for characterizing the interference signal strength output by the interfering base station includes:

[0013] Receive the measurement physical signals sent by at least one of the interfering base stations on at least one frequency sub-band;

[0014] Detect the interference signal strength for the measurement physical signals sent in the same transmission period and on the same frequency sub-band respectively;

[0015] Determine the interference frequency sub-bands in each transmission period of the target interfering base station where the interference signal strength exceeds the preset strength;

[0016] Generate the interference measurement report based on the identifiers of the interference frequency sub-bands and the corresponding interference signal strengths.

[0017] Optionally, in another embodiment based on the above method of the present application, the sending of the interference measurement report to the interfering base station includes:

[0018] Access the communication cell where the interfering base station is located, and use the scheduling physical resources allocated by the interfering base station to send the interference measurement report to the interfering base station.

[0019] Wherein, according to one aspect of the embodiments of the present application, a method for collaborative management of interference signals, applied to an interfering base station, includes:

[0020] Receive the interference measurement report sent by the terminal for characterizing the interference signal strength output by the interfering base station;

[0021] Adjust the interference signal based on the interference measurement report and the interference coordination algorithm, and report the interference measurement report in the current transmission period to the cloud data center;

[0022] Periodically extract at least one other interference measurement report stored in the cloud data center, and update the interference coordination algorithm based on the other interference measurement reports, where the other interference measurement reports are the interference measurement reports sent by other interfering base stations in the same system as the interfering base station.

[0023] Optionally, in another embodiment based on the above method of the present application, the adjusting of the interference signal based on the interference measurement report and the interference coordination algorithm includes:

[0024] Determine the downlink direction of the interference beam pointing to the terminal through the interference beam recorded in the interference measurement report;

[0025] When sending a downlink signal to the downlink direction again, use the interference coordination algorithm to reduce the transmission power of the downlink signal until it is determined that the system throughput is maximized.

[0026] Optionally, in another embodiment based on the method of the present application above, updating the interference coordination algorithm based on the other interference measurement report includes:

[0027] Update the interference coordination algorithm through the other interference measurement report and the Actor-Critic network deployed by itself.

[0028] According to another aspect of the embodiments of the present application, a device for collaborative management of interference signals is provided, which is characterized by including:

[0029] A receiving module, configured to receive multiple downlink signals sent by multiple base stations;

[0030] A selection module, configured to select at least one interfering base station among the multiple base stations based on the interference signals existing in the multiple downlink signals;

[0031] A sending module, configured to obtain an interference measurement report for characterizing the interference signal strength output by the interfering base station, and send the interference measurement report to the interfering base station, so that the interfering base station reduces the signal strength of the interference signal based on the interference measurement report.

[0032] According to another aspect of the embodiments of the present application, an electronic device is provided, including:

[0033] A memory, used to store executable instructions; and

[0034] A display, used to cooperate with the memory to execute the executable instructions so as to complete the operations of any of the above methods for collaborative management of interference signals.

[0035] According to still another aspect of the embodiments of the present application, a computer-readable storage medium is provided, used to store computer-readable instructions, and when the instructions are executed, the operations of any of the above methods for collaborative management of interference signals are executed.

[0036] In this application, a base station can receive multiple downlink signals sent by multiple base stations, select at least one interfering base station among the multiple base stations based on the interfering signals existing in the multiple downlink signals, obtain an interference measurement report for characterizing the intensity of the interfering signals output by the interfering base station, and send the interference measurement report to the interfering base station so that the interfering base station can reduce the signal intensity of the interfering signals based on the interference measurement report. By applying the technical solution of this application, a terminal can be used to send an interference measurement report reflecting the intensity of the interfering signals output by an interfering base station with excessively high energy of the interfering signals received by it, so as to realize the inter-cell interference coordination in a highly dynamic system in an intelligent manner among multiple interfering base stations, and effectively improve the throughput of the communication system at the same time. Thus, it solves the problem of insufficient anti-interference ability in the 6G communication system caused by the lack of a method capable of realizing collaborative management of interfering signals in the related art.

[0037] The technical solution of this application will be further described in detail below with reference to the drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] The drawings forming a part of the specification depict embodiments of the application and, together with the description, are used to explain the principles of the application.

[0039] Referring to the drawings, the application can be more clearly understood according to the following detailed description, where:

[0040] Figure 1 FIG. shows a schematic diagram of a method for collaborative management of interfering signals provided by an embodiment of the application;

[0041] Figure 2 FIG. shows a schematic diagram of a system architecture for collaborative management of interfering signals provided by an embodiment of the application;

[0042] Figure 3 FIG. shows a schematic flowchart of a method for collaborative management of interfering signals provided by an embodiment of the application;

[0043] Figure 4 FIG. shows a schematic diagram of a method for collaborative management of interfering signals provided by another embodiment of the application;

[0044] Figure 5 FIG. shows a schematic flowchart of a method for collaborative management of interfering signals provided by another embodiment of the application;

[0045] Figure 6 FIG. shows a schematic diagram of the structure of an electronic device provided by an embodiment of the application;

[0046] Figure 7 FIG. shows a schematic diagram of the structure of an electronic device provided by an embodiment of the application;

[0047] Figure 8 The figure shows a schematic diagram of a storage medium provided by an embodiment of the present application. Detailed implementation manners

[0048] Various exemplary embodiments of the present application will now be described in detail with reference to the accompanying drawings. It should be noted that: unless otherwise specifically stated, the relative arrangements of components and steps, numerical expressions and values set forth in these embodiments do not limit the scope of the present application.

[0049] Meanwhile, it should be understood that, for the sake of convenience of description, the dimensions of the various parts shown in the drawings are not drawn in actual proportional relationship.

[0050] The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way a limitation on the present application or its application or use.

[0051] Technologies, methods, and devices known to those of ordinary skill in the relevant art may not be discussed in detail, but where appropriate, the technologies, methods, and devices should be regarded as part of the specification.

[0052] It should be noted that: like reference numerals and letters denote like items in the following drawings, and thus, once an item is defined in one drawing, it need not be further discussed in subsequent drawings.

[0053] In addition, the technical solutions between various embodiments of the present application may be combined with each other, but it must be based on the fact that those of ordinary skill in the art can implement them. When the combination of technical solutions results in contradictions or cannot be implemented, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection required by the present application.

[0054] It should be noted that all directional indications (such as up, down, left, right, front, back...) in the embodiments of the present application are only used to explain the relative positional relationship and movement conditions between components in a specific posture (as shown in the drawings). If the specific posture changes, the directional indications will also change accordingly.

[0055] The following will be combined with Figures 1 - 5 to describe a method for collaborative management of interference signals according to an exemplary embodiment of the present application. It should be noted that the following application scenarios are only shown for the convenience of understanding the spirit and principle of the present application, and the embodiments of the present application are not limited in this regard. On the contrary, the embodiments of the present application can be applied to any applicable scenario.

[0056] The present application also proposes a method, apparatus, electronic device, and medium for collaborative management of interference signals.

[0057] Figure 1 A schematic flowchart of a method for collaborative management of interference signals according to an embodiment of the present application is shown. As Figure 1 shown, this method is applied to a terminal and includes:

[0058] S101, receiving multiple downlink signals sent by multiple base stations.

[0059] S102, selecting at least one interfering base station among the multiple base stations based on the interference signals existing in the multiple downlink signals.

[0060] S103, obtaining an interference measurement report for characterizing the signal strength of the interference signal output by the interfering base station, and sending the interference measurement report to the interfering base station so that the interfering base station reduces the signal strength of the interference signal based on the interference measurement report.

[0061] Among them, with the increase in frequency in the 6G communication system and the need to ensure large-scale machine communication access, the deployment of base stations will become more and more intensive. Among various potential solutions that can enhance spectrum efficiency, the distributed RAN architecture has been proven to be a practical and effective solution. For example, a distributed antenna system can better utilize channel non-correlation to achieve a higher spatial multiplexing degree of freedom. Therefore, a distributed antenna system can achieve a higher peak transmission rate, more intelligent interference management, and more reliable cell-edge data transmission. Based on the above advantages, the distributed RAN architecture remains a key consideration for 6G deployment.

[0062] Since a more realistic requirement of the 6G system is a programmable and customizable network according to user needs, the scale and coverage of base stations are different, and the heterogeneity of the system is further enhanced. Multiple types of base stations are deployed in the system, so the spectrum reuse degree will be higher, which will further lead to the signals received by users being interfered by many base stations, and the interference becomes more complex and heterogeneous.

[0063] In one way, the interference management scheme deployed in the 5G system is a static or quasi-static mechanism. In HetNet, the radio environment is highly dynamic. Traditional power control technologies first collect instantaneous global channel state information (CSI), and then calculate a sub-optimal solution. However, it is challenging to collect instant global CSI in HetNet. The global CSI usually changes very fast, and the output solution is usually outdated or invalid, unable to provide efficient interference coordination. Conducting dynamic interference coordination is an issue that needs to be studied to improve network performance. In 5G, AI is tried to be introduced to learn the dynamically changing environment and intelligently coordinate complex heterogeneous interference in the wireless network. However, intelligent decision-making is mostly concentrated in the upper layer of RAN. The centralized control mode faces a great deal of signaling interaction and feedback information transmission, increasing the processing delay of the system and having a limited effect on improving interference coordination performance.

[0064] To adapt to the distributed architecture of 6G RAN and reduce the additional overhead brought by the centralized intelligent interference management scheme, the interference coordination mechanism for 6G should possess the characteristics of distributed intelligence. However, enhancing the anti-interference ability of one or some cells is far from enough. It is necessary to enhance the collaborative ability of each cell for interference coordination. Therefore, the distributed intelligent interference coordination mechanism must be collaborative.

[0065] In one way, as Figure 2 shown, it is a system architecture diagram that can be applied to a method for collaborative management of interference signals proposed in this application. As can be seen from Figure 2 , the technical solution of this application is that each interfering base station in the system sends at least one interference measurement report stored locally to the cloud data center. So that the cloud data center aggregates the information of multiple interference measurement reports and conducts global optimization, and then sends the updated model parameters to each base station in the subsequent process. In order to facilitate the interfering base stations in the entire system to update their own interference coordination algorithms based on the model parameters, so as to achieve collaborative exploration of the environment and make decisions on interference management.

[0066] As Figure 3 shown, the following specifically describes a method for collaborative management of interference signals proposed in this application:

[0067] Step 1: The terminal UE receives the downlink signals (such as downlink physical signals) sent by multiple base stations including the interfering base station, and based on the interference energy of each downlink signal, detects the downlink signals with too high interference energy sent by the interfering base station among them, and takes them as interference signals.

[0068] Step 2: The UE receives the downlink synchronization signal sent by the interfering base station, obtains the cell identifier (i.e., Cell ID) of the cell to which the interfering base station belongs, and completes the downlink synchronization of the interfering cell.

[0069] Step 3: The UE obtains the measured physical signal between the UE and the base station sent by the interfering base station and the corresponding configuration parameters.

[0070] Among them, for the configuration parameters, it can include one or more of the following contents:

[0071] The transmission period of the measured physical signal, the time domain starting position offset within the period of the measured physical signal, the number of repetitions / duration of a single transmission within the period of the measured physical signal, the transmission frequency / bandwidth of the measured physical signal, the subcarrier offset of the synchronization signal block, the subcarrier spacing of the measured physical signal, the sequence of the measured physical signal, the frequency interval at which the measured physical signal is sent at a certain frequency interval.

[0072] In one way, the method for a UE to obtain the configuration parameters for measuring the physical signal between the UE and the base station sent by the interfering base station can be that the UE obtains them by receiving the user-specific signaling or system message sent by the interfering base station. Thus, through the user-specific signaling or system message, the configuration parameters for measuring the physical signal between the UE and the base station sent by the interfering base station carried therein are extracted. It can be understood that the purpose for the UE to obtain the configuration parameters is to be able to receive the physical signal for measuring between the UE and the base station more efficiently.

[0073] In another way, the UE receives the physical signal for measuring between the UE and the base station sent by the interfering base station. As an example, the measurement physical signal can be the downlink physical signal in the interfering cell, such as the synchronization signal block, the channel state information reference signal, etc., or it can be the dedicated physical signal for measuring between the UE and the base station sent by the interfering base station.

[0074] Furthermore, the physical signal for measuring between the UE and the base station can be a time-domain periodic signal. As an example, the physical signal for measuring between the UE and the base station is sent at a certain period, and multiple (for example, at least two) copies of the physical signal for measuring between the UE and the base station are repeatedly sent within the same transmission period, and multiple copies within the same period have different copy index values.

[0075] Furthermore, an example of the above-mentioned periodic physical signal for measuring between base stations can be the synchronization signal block sent by the interfering base station in the downlink, which includes, for example, the downlink primary synchronization signal, the downlink secondary synchronization signal, and the demodulation reference signal of the physical broadcast channel.

[0076] Step 4: The UE receives the measurement physical signals sent by at least one interfering base station on at least one frequency subband for detection.

[0077] Specifically, the UE needs to measure the interference signal energy between the interfering base station and the UE with the same transmission period, the same frequency subband but different copy indexes among the multiple measurement physical signals respectively, so as to obtain the interference signal strength between the base station and the UE for each copy index. The copy indexes of the M copies with the interference signal strength greater than the predetermined threshold and the interference signal strength are used as the interference measurement result, and an interference measurement report is generated based on this interference measurement result.

[0078] In one way, M is a positive integer, and M <= X,

[0079] where X is a positive integer, which is predetermined by the system and represents the maximum number of downlink beams sent by the base station on the same frequency subband.

[0080] Step 5: The UE reports the interference measurement report to the interfering base station.

[0081] In one way, the way for the UE to report the interference measurement result can be that the UE reports the interference measurement report to the interfering base station through the access link.

[0082] As an example, the way for the UE to report the interference measurement report can be that the UE accesses the interfering cell and reports the interference measurement of the interfering base station on the UE in the interfering cell to the interfering base station through the access link.

[0083] As another example, the UE can first access the interfering cell where the interfering base station is located, so as to report the interference measurement result to the interfering base station on the scheduling physical resources configured by the interfering base station for the UE subsequently. It can be understood that in this way, the UE can report the interference measurement result to the interfering base station in a timely and rapid manner.

[0084] In this application, the base station can receive multiple downlink signals sent by multiple base stations, select at least one interfering base station among the multiple base stations based on the interfering signals existing in the multiple downlink signals, obtain an interference measurement report for characterizing the intensity of the interfering signals output by the interfering base station, and send the interference measurement report to the interfering base station so that the interfering base station can reduce the signal intensity of the interfering signals based on the interference measurement report.

[0085] Optionally, in another embodiment based on the above method of this application, selecting at least one interfering base station among the multiple base stations based on the interfering signals existing in the multiple downlink signals includes:

[0086] Analyze the interference energy of each downlink signal;

[0087] Regard the downlink signals with the interference energy higher than the threshold as the interfering signals, and obtain the interfering base stations corresponding to the interfering signals.

[0088] Optionally, in another embodiment based on the above method of this application, obtaining the interference measurement report for characterizing the intensity of the interfering signals output by the interfering base station includes:

[0089] Receive the measurement physical signals sent by at least one of the interfering base stations on at least one frequency sub-band;

[0090] Detect the intensity of the interfering signals for the measurement physical signals sent in the same transmission period and on the same frequency sub-band respectively;

[0091] Determine the target interfering base stations with the interfering signal intensity exceeding the preset intensity in each transmission period;

[0092] Generate the interference measurement report based on the identifier of the target interfering base station and the corresponding interfering signal intensity.

[0093] Optionally, in another embodiment of the method based on the above application, the sending the interference measurement report to the interfering base station includes:

[0094] Access the communication cell where the interfering base station is located, and use the scheduling physical resources allocated by the interfering base station to send the interference measurement report to the interfering base station.

[0095] By applying the technical solution of the present application, a terminal can send an interference measurement report reflecting the intensity of the interference signal output by the interfering base station with excessive interference signal energy received by it, so as to realize the coordination of inter-cell interference in a highly dynamic system in an intelligent manner among multiple interfering base stations, and effectively improve the throughput of the communication system at the same time. Thus, it solves the problem of insufficient anti-interference ability in the 6G communication system caused by the lack of a method capable of realizing collaborative management of interference signals in the related art.

[0096] Figure 4 Schematically shows a flowchart of a method for collaborative management of interference signals according to an embodiment of the present application. As Figure 4 shown, this method is applied to an interfering base station and includes:

[0097] S201, receiving an interference measurement report sent by a terminal for characterizing the intensity of the interference signal output by the interfering base station.

[0098] S202, adjusting the interference signal based on the interference measurement report and an interference coordination algorithm, and reporting the interference measurement report in the current transmission period to the cloud data center.

[0099] S203, periodically extracting at least one other interference measurement report stored in the cloud data center, and updating the interference coordination algorithm based on the other interference measurement reports, where the other interference measurement reports are interference measurement reports sent by other interfering base stations in the same system as the interfering base station.

[0100] As Figure 5 shown, the following specifically describes a method for collaborative management of interference signals proposed by the present application:

[0101] Step 1: The terminal UE receives downlink signals (such as downlink physical signals) sent by multiple base stations including the interfering base station, and based on the interference energy of each downlink signal, detects the downlink signal with excessive interference energy sent by the interfering base station and uses it as an interference signal.

[0102] Step 2: The UE receives the downlink synchronization signal sent by the interfering base station, obtains the cell identifier (i.e., Cell ID) of the cell to which the interfering base station belongs, and completes the downlink synchronization of the interfering cell.

[0103] Step 3: The UE obtains the measurement physical signals between the UE and the base station and the corresponding configuration parameters sent by the interfering base station.

[0104] Step 4: The UE receives the measurement physical signals sent by at least one interfering base station on at least one frequency sub-band for detection.

[0105] Step 5: The UE reports the interference measurement report to the interfering base station.

[0106] Step 6: The interfering base station performs beam-based interference coordination management according to the interference measurement report.

[0107] In one way, the interfering base station can extract the interference beams recorded in the interference measurement results reported by the UE and adjust the downlink power of the beams that cause relatively large interference to them.

[0108] Furthermore, the interfering base station can determine the downlink direction of the interference beam pointing to the terminal through the interference beam recorded in the interference measurement report. In this case, when it is subsequently detected that a downlink signal is sent again in this downlink direction, the interference coordination algorithm can be used to reduce the transmission power of a certain unit of the downlink signal. Thus, the purpose of appropriately reducing the interference of the interference beam while ensuring the freedom of the interfering base station to schedule the transmission of the interference beam is achieved.

[0109] Step 7: The interfering base station uploads the interference coordination result of the current cycle to the cloud data center.

[0110] Furthermore, all interfering base stations in the system upload the interference measurement reports of the current cycle to the cloud data center through the wireless backhaul link.

[0111] Step 8: The cache pool of the cloud data center stores the interference measurement reports of all base stations in different cycles of the entire system, which is convenient for the interfering base stations in the entire system to cooperate in exploring the environment and making decisions.

[0112] Step 9: At a subsequent time point, the interfering base station extracts the interference measurement reports of other interfering base stations stored in the cache pool of the cloud data center as training data for training, updates the model parameters, so as to achieve the purpose of updating the intelligent interference coordination algorithm.

[0113] In one way, the interfering base stations are all modeled as a DDPG agent, with an Actor and a Critic network deployed on the base station. The agent processes the interference measurement report reported by the UE and inputs it into the Actor network. Suppose the available transmission beams for the downlink of the interfering base station are {1, …… N}, and the interference energy of the transmission beam with index value i on the frequency sub-band F reported by the UE exceeds the threshold. The Actor network outputs the power coordination result for the interference beam to perform interference coordination in a distributed manner.

[0114] It can be understood that the above method can ensure that when the interfering base station uses a transmission beam that causes strong interference to the UE, the transmission power is flexibly reduced by using the transmission power reduction value to reduce the interference to the UE. The Critic network is centrally trained by randomly sampling data from the cache pool of the cloud data center to update the parameters of the Actor network.

[0115] Optionally, in another implementation manner of this application, as Figure 6 shown, this application also provides a device for collaborative management of interference signals. It includes:

[0116] A receiving module 301, configured to receive a plurality of downlink signals sent by a plurality of base stations;

[0117] A selection module 302, configured to select at least one interfering base station among the plurality of base stations based on the interference signals existing in the plurality of downlink signals;

[0118] A sending module 303, configured to obtain an interference measurement report for characterizing the intensity of the interference signal output by the interfering base station, and send the interference measurement report to the interfering base station, so that the interfering base station reduces the signal intensity of the interference signal based on the interference measurement report.

[0119] By applying the technical solution of this application, the terminal can send an interference measurement report reflecting the intensity of the interference signal output by the interfering base station with excessive interference signal energy received by it, so as to realize the coordination of inter-cell interference in a highly dynamic system in an intelligent manner among multiple interfering base stations, and at the same time effectively improve the throughput of the communication system. Thus, it solves the problem of insufficient anti-interference ability in the 6G communication system caused by the lack of a method capable of collaborative management of interference signals in the related art.

[0120] In another implementation manner of this application, the steps that the receiving module 301 is configured to execute include:

[0121] Analyze the interference energy of each downlink signal;

[0122] Regard the downlink signal with the interference energy higher than the threshold as the interference signal, and obtain the interfering base station corresponding to the interference signal.

[0123] In another implementation manner of this application, the steps that the receiving module 301 is configured to execute include:

[0124] Receive measurement physical signals sent by at least one of the interfering base stations on at least one frequency subband;

[0125] Perform interference signal strength detection on the measured physical signals transmitted in the same transmission period and on the same frequency sub-band respectively;

[0126] Determine the interference frequency sub-bands in each transmission period of the target interfering base station where the interference signal strength exceeds a preset strength;

[0127] Generate the interference measurement report based on the identifiers of the interference frequency sub-bands and the corresponding interference signal strengths.

[0128] In another implementation manner of the present application, the steps that the receiving module 301 is configured to execute include:

[0129] Access the communication cell where the interfering base station is located, and use the scheduling physical resources allocated by the interfering base station to send the interference measurement report to the interfering base station.

[0130] The embodiments of the present application also provide an electronic device to execute the method for collaborative management of interference signals as described above. Please refer to Figure 7 , which shows a schematic diagram of an electronic device provided by some embodiments of the present application. As Figure 7 shown, the electronic device 3 includes: a processor 300, a memory 301, a bus 302, and a communication interface 303. The processor 300, the communication interface 303, and the memory 301 are connected through the bus 302; a computer program that can run on the processor 300 is stored in the memory 301, and when the processor 300 runs the computer program, it executes the method for collaborative management of interference signals provided by any of the foregoing embodiments of the present application.

[0131] Among them, the memory 301 may include a high-speed random access memory (RAM: Random Access Memory), and may also include a non-volatile memory, such as at least one disk memory. Through at least one communication interface 303 (which can be wired or wireless), a communication connection is established between this device network element and at least one other network element, and the Internet, wide area network, local area network, metropolitan area network, etc. can be used.

[0132] The bus 302 may be an ISA bus, a PCI bus, an EISA bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. Among them, the memory 301 is used to store programs, and after the processor 300 receives an execution instruction, it executes the program. The method for data recognition disclosed in any of the foregoing embodiments of the present application can be applied to the processor 300 or implemented by the processor 300.

[0133] The processor 300 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method may be completed by the integrated logic circuit of the hardware in the processor 300 or the instructions in the form of software. The above-mentioned processor 300 may be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it may also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. It can implement or execute the various methods, steps, and logic block diagrams disclosed in the embodiments of the present application. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc. The steps of the method disclosed in combination with the embodiments of the present application may be directly embodied as being executed and completed by a hardware decoding processor, or executed and completed by a combination of hardware and software modules in the decoding processor. The software module may be located in a mature storage medium in the art such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory, or an electrically erasable programmable memory, a register, etc. This storage medium is located in the memory 301, and the processor 300 reads the information in the memory 301 and combines its hardware to complete the steps of the above method.

[0134] The electronic device provided in the embodiments of the present application and the method for collaborative management of interference signals provided in the embodiments of the present application are based on the same inventive concept and have the same beneficial effects as the methods adopted, run, or implemented by them.

[0135] The embodiments of the present application also provide a computer-readable storage medium corresponding to the method for data recognition provided in the foregoing embodiments. Please refer to Figure 8 which shows that the computer-readable storage medium is an optical disc 40, on which a computer program (i.e., a program product) is stored. When the computer program is run by a processor, it will execute the method for collaborative management of interference signals provided in any of the foregoing embodiments.

[0136] It should be noted that examples of the computer-readable storage medium may also include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory, or other optical and magnetic storage media, which will not be elaborated here one by one.

[0137] The computer-readable storage medium provided by the above embodiments of the present application and the method for data recognition provided by the embodiments of the present application are based on the same inventive concept and have the same beneficial effects as the methods adopted, run, or implemented by the application programs stored therein.

[0138] It should be noted that:

[0139] In the specification provided herein, a large number of specific details are set forth. However, it is understood that the embodiments of the present application may be practiced without these specific details. In some instances, well-known structures and techniques have not been shown in detail so as not to obscure the understanding of this specification.

[0140] Similarly, it should be understood that, in order to streamline the present application and assist in understanding one or more of the various inventive aspects, in the above description of the exemplary embodiments of the present application, the various features of the present application are sometimes grouped together into a single embodiment, figure, or description thereof. However, the disclosed method should not be construed as reflecting an intention that: the claimed subject matter of the present application requires more features than are expressly recited in each claim. Rather, as reflected in the following claims, the inventive aspects lie in less than all of the features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into the detailed description, with each claim standing on its own as a separate embodiment of the present application.

[0141] In addition, those skilled in the art will appreciate that, although some of the embodiments described herein include certain features included in other embodiments but not others, the combination of features of different embodiments is within the scope of the present application and forms different embodiments. For example, in the following claims, any one of the claimed embodiments can be used in any combination.

[0142] The above is only the preferred specific embodiment of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily thought of by those skilled in the art within the technical scope disclosed by the present application should be covered by the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

1. A method for collaborative management of interference signals, characterized in that, Applied to a terminal, including: Receiving multiple downlink signals sent by multiple base stations; Based on the interference signals existing in the multiple downlink signals, selecting at least one interfering base station existing in the multiple base stations; Obtaining an interference measurement report for characterizing the signal strength of the interference signals output by the interfering base station, and sending the interference measurement report to the interfering base station, so that the interfering base station reduces the signal strength of the interference signals based on the interference measurement report.

2. The method according to claim 1, wherein The selecting at least one interfering base station existing in the multiple base stations based on the interference signals existing in the multiple downlink signals includes: Analyzing the interference energy of each downlink signal; Regarding the downlink signals with interference energy higher than a threshold as the interference signals, and obtaining the interfering base stations corresponding to the interference signals.

3. The method according to claim 1, wherein The obtaining an interference measurement report for characterizing the signal strength of the interference signals output by the interfering base station includes: Receiving measurement physical signals sent by at least one of the interfering base stations on at least one frequency sub-band; Respectively detecting the signal strength of the interference signals for the measurement physical signals sent in the same transmission period and on the same frequency sub-band; Determining the interference frequency sub-bands in each transmission period of the interfering base station where the signal strength of the interference signals exceeds a preset strength; Generating the interference measurement report based on the identifiers of the interference frequency sub-bands and the corresponding signal strengths of the interference signals.

4. The method according to claim 1 or 3, characterized in that, The sending the interference measurement report to the interfering base station includes: Accessing the communication cell where the interfering base station is located, and using the scheduling physical resources allocated by the interfering base station to send the interference measurement report to the interfering base station.

5. A method for collaborative management of interference signals, characterized in that, Applied to an interfering base station, including: Receiving an interference measurement report sent by a terminal for characterizing the signal strength of the interference signals output by the interfering base station; Based on the interference measurement report and an interference coordination algorithm, adjusting the interference signals, and reporting the interference measurement report in the current transmission period to a cloud data center; Periodically extracting at least one other interference measurement report stored in the cloud data center, and updating the interference coordination algorithm based on the other interference measurement reports, where the other interference measurement reports are interference measurement reports sent by other interfering base stations in the same system as the interfering base station.

6. The method according to claim 5, wherein The adjusting the interference signals based on the interference measurement report and the interference coordination algorithm includes: Determining the downlink direction of the interference beam pointing to the terminal through the interference beam recorded in the interference measurement report; When sending downlink signals to the downlink direction again, using the interference coordination algorithm to reduce the transmission power of the downlink signals until it is determined that the system throughput is maximized.

7. The method according to claim 5, wherein The updating the interference coordination algorithm based on the other interference measurement reports includes: Implementing the update of the interference coordination algorithm through the other interference measurement reports and the Actor-Critic network deployed by itself.

8. A device for collaboratively managing interference signals, characterized in that, Applied to a terminal, including: A receiving module, configured to receive multiple downlink signals sent by multiple base stations; A selecting module, configured to select at least one interfering base station existing in the multiple base stations based on the interference signals existing in the multiple downlink signals; A sending module, configured to obtain an interference measurement report for characterizing the interference signal strength output by the interfering base station and send the interference measurement report to the interfering base station, so that the interfering base station reduces the signal strength of the interference signal based on the interference measurement report.

9. An electronic device, characterized in that, Comprising: A memory for storing executable instructions; And A processor for executing the executable instructions with the memory to complete the operations of the method for collaborative management of interference signals according to any one of claims 1-7.

10. A computer-readable storage medium for storing computer-readable instructions, characterized in that, When the instructions are executed, the operations of the method for collaborative management of interference signals according to any one of claims 1-7 are performed.

Images