CN115002792B

CN115002792B - Interference coordination method, device and storage medium

Info

Publication number: CN115002792B
Application number: CN202210648760.8A
Authority: CN
Inventors: 吕婷; 张涛; 李福昌
Original assignee: China United Network Communications Group Co Ltd
Current assignee: China United Network Communications Group Co Ltd
Priority date: 2022-06-09
Filing date: 2022-06-09
Publication date: 2023-09-22
Anticipated expiration: 2042-06-09
Also published as: CN115002792A

Abstract

The application provides an interference coordination method, an interference coordination device and a storage medium, relates to the field of communication, and can solve the problem that related technologies cannot timely solve inter-cell signal interference. The method comprises the following steps: predicting scrambling cells in each of a plurality of first time durations; the interference exerting cell is a cell which causes interference to a target cell or target User Equipment (UE); for each first duration, determining an interference cell group in one first duration according to the interference cells in one first duration; predicting the interference intensity of a target cell in a plurality of first time periods; taking the time length meeting the first preset condition in the plurality of first time lengths as a target time length; the first preset condition includes: the interference intensity of the target cell in the first duration is greater than a first preset threshold; transmitting an interference coordination message to each first cell; the interference coordination message is used to instruct the first cell to perform interference coordination for a target duration. The application can solve the problem of signal interference among cells in time.

Description

Interference coordination method, device and storage medium

Technical Field

The present application relates to the field of communications, and in particular, to an interference coordination method, apparatus, and storage medium.

Background

In order to improve the utilization efficiency of communication resources, a communication network generally adopts a frequency multiplexing networking mode, that is, adjacent cells use the same frequency spectrum resources. However, the problem of mutual interference may occur before different cells, so that interference coordination needs to be performed for the cells where interference occurs.

Currently, the related art generally performs interference coordination by means of static configuration or message triggering. However, the related art triggers to perform interference coordination only after the cell is interfered by the signal, so that the problem of signal interference between cells cannot be solved in time, and the interference coordination effect is poor.

Disclosure of Invention

The application provides an interference coordination method, an interference coordination device and a storage medium, which can solve the problem of inter-cell signal interference in time.

In order to achieve the above purpose, the application adopts the following technical scheme:

in a first aspect, the present application provides an interference coordination method, which includes: predicting scrambling cells in each of a plurality of first time durations; the interference exerting cell is a cell which causes interference to a target cell or target User Equipment (UE); the target UE is any UE accessed to the target cell; the first time length is the time length after the current time; for each first time period, determining an interference cell group in one first time period according to the interference cells in the one first time period; the interference cell group comprises a target cell and cells to be subjected to interference coordination in the interference application cell; predicting interference strengths of the target cell within the plurality of first time durations; taking the time length meeting the first preset condition in the plurality of first time lengths as a target time length; the first preset condition includes: the interference intensity of the target cell in the first duration is greater than a first preset threshold; transmitting an interference coordination message to each first cell; the first cell is any cell in an interference cell group in the target duration, and the interference coordination message is used for indicating the first cell to execute interference coordination in the target duration.

Based on the above technical scheme, the interference coordination device in the application predicts the interference cells in each first duration in a plurality of first durations, and determines the corresponding interference cell group needing to execute interference coordination according to the interference cells in the first duration for each first duration. Meanwhile, the interference coordination device predicts the interference intensity of the target cell in the plurality of first time periods, and further determines the target time period for executing interference coordination from the plurality of first time periods according to the interference intensity, so that the cells in the interference cell group execute the interference coordination in the appointed target time period. Compared with the scheme of triggering interference coordination in a pre-configured mode or after a target cell is subjected to larger interference in the related art, the method and the device can dynamically predict the target duration of the interference coordination to be executed in the future time period and the interference cell group corresponding to the target duration based on the data in the history time period, so that the interference coordination is triggered in time before the interference occurs, the problem of signal interference among cells is solved in time, and the interference coordination effect is improved.

With reference to the first aspect, in one possible implementation manner, the method further includes: executing first operation aiming at each first duration to obtain interference intensity of a target cell in a plurality of first durations; the first operation includes: predicting uplink interference intensity in a first duration; predicting the downlink interference intensity in a first duration; the uplink interference intensity of the target cell and the downlink interference intensity of each target UE are weighted and calculated to obtain the interference intensity of the target cell in a first duration; the uplink interference strength is the strength of an interference signal received by the target cell, and the downlink interference strength is the strength of an interference signal received by the target UE.

With reference to the first aspect, in one possible implementation manner, the strength of the interference signal received by the target cell refers to a sum of strength values of signals that cause interference to the target cell in a preset unit time period; the strength of the interference signal received by the target UE is the sum of the strength values of the signals causing interference to the target UE in a preset unit time period; the sum of the intensity values of the signals is determined according to interference measurement signals periodically transmitted by cells except the target cell in a preset area according to preset power.

With reference to the first aspect, in one possible implementation manner, the method further includes: acquiring a first prediction model; the first prediction model is used for predicting uplink interference intensity in a target time period; and inputting the first time length into a first prediction model to obtain the uplink interference intensity in the first time length.

With reference to the first aspect, in one possible implementation manner, the method further includes: training to obtain a first prediction model according to at least one second duration and uplink interference intensity in at least one second duration; the second time period is a time period before the current time.

With reference to the first aspect, in one possible implementation manner, the method further includes: acquiring a second prediction model and a third prediction model of each target UE; the second prediction model is used for predicting the downlink interference intensity of the target UE in the target time period; the third prediction model is used for predicting the position information of the target UE in the target time period; respectively inputting the first time length into a third prediction model of each target UE to obtain the position information of each target UE in the first time length; and respectively inputting the first time length and the position information of each target UE in the first time length into a second prediction model to obtain the downlink interference intensity in the first time length corresponding to each target UE.

With reference to the first aspect, in one possible implementation manner, the method further includes: training to obtain a second prediction model according to at least one second time length, the position information of each target UE in the at least one second time length and the downlink interference intensity corresponding to each target UE in the at least one second time length; the second time length is the time length before the current time; training to obtain a third prediction model according to at least one second time length and position information in at least one second time length aiming at each target UE; the plurality of target UEs are in one-to-one correspondence with the plurality of third predictive models.

With reference to the first aspect, in one possible implementation manner, the method further includes: determining at least one target UE cluster according to the position information of each target UE in at least one second time period; the target UE cluster comprises a plurality of target UEs; the second time length is the time length before the current time; acquiring a fourth prediction model of each target UE cluster; the fourth prediction model is used for predicting the downlink interference intensity of the target UE cluster in the target time period; and inputting the first time length into a fourth prediction model corresponding to the target UE cluster aiming at each target UE cluster to obtain the downlink interference intensity of a plurality of target UEs included in the target UE cluster in the first time length.

With reference to the first aspect, in one possible implementation manner, the method further includes: training to obtain a fourth prediction model according to at least one second time length and downlink interference intensity of a plurality of target UE in at least one second time length aiming at each target UE cluster; the plurality of target UE clusters are in one-to-one correspondence with the plurality of fourth predictive models.

With reference to the first aspect, in one possible implementation manner, the method further includes: clustering the position information of the target UE in the second time length by a clustering algorithm for each second time length to obtain at least one UE cluster in the second time length; the UE cluster includes at least one target UE; matching at least one UE cluster respectively included in any two adjacent second time periods through a matching algorithm to determine at least one target UE cluster; the two adjacent second time periods are continuous two second time periods after at least one second time period is arranged in time sequence.

With reference to the first aspect, in one possible implementation manner, the method further includes: determining that each target UE cluster in the at least one target UE cluster includes at least one target UE combination satisfying a second preset condition; the target UE combination comprises a first target UE and a corresponding second target UE; the second preset condition includes a ratio of the number of matching durations to the total number of at least one second duration being greater than a second preset threshold; within the matching time length, the distance between the first target UE and the second target UE in the target UE combination is smaller than a third preset threshold value; the first target UE and the second target UE are one of the target UEs.

With reference to the first aspect, in one possible implementation manner, the scrambling cell includes at least one of an uplink scrambling cell and a downlink scrambling cell, where the uplink scrambling cell is a cell that causes interference to the target cell, and the downlink scrambling cell is a cell that causes interference to the target UE.

With reference to the first aspect, in one possible implementation manner, the method further includes: for each first duration, under the condition that the scrambling cell comprises an uplink scrambling cell, predicting the uplink scrambling cell in the first duration; and predicting the downlink scrambling cells in the first time periods when the scrambling cells comprise the downlink scrambling cells for each first time period.

With reference to the first aspect, in one possible implementation manner, the method further includes: obtaining a fifth prediction model; the fifth prediction model is used for predicting an uplink scrambling cell in the target time period; and inputting the first time length into a fifth prediction model to obtain an uplink scrambling cell in the first time length.

With reference to the first aspect, in one possible implementation manner, the method further includes: training according to at least one second duration and the identification of the uplink scrambling cell in the at least one second duration to obtain a fifth prediction model; the second time period is a time period before the current time.

With reference to the first aspect, in one possible implementation manner, the method further includes: receiving an uplink scrambling cell message sent by a target cell; the uplink scrambling cell message comprises at least one identifier of an uplink scrambling cell in a second duration; the uplink interference applying cell is a cell in which the average value of signal strengths of interference measurement signals measured by the target cell in at least one second duration is larger than a fourth preset threshold.

With reference to the first aspect, in one possible implementation manner, the method further includes: receiving an uplink interference signal message sent by a target cell; the uplink interference signal message comprises the signal intensity of each interference measurement signal measured by the target cell in at least one second duration and the corresponding cell identifier; and taking a cell with the average value of the signal intensity of each interference measurement signal measured by the target cell in at least one second time period being larger than a fourth preset threshold value as an uplink interference application cell in at least one second time period.

With reference to the first aspect, in one possible implementation manner, the method further includes: acquiring a sixth prediction model and a seventh prediction model of each target UE; the sixth prediction model is used for predicting a downlink scrambling cell of the target UE in the target time period; the seventh prediction model is used for predicting the position information of the target UE in the target time period; respectively inputting the first time length into each seventh prediction model to obtain the position information of each target UE in the first time length; and respectively inputting the first time length and the position information of each target UE in the first time length into a sixth prediction model to obtain a downlink scrambling cell corresponding to each target UE in the first time length.

With reference to the first aspect, in one possible implementation manner, the method further includes: training to obtain a sixth prediction model according to at least one second time length, the position information of each target UE in the at least one second time length and the identification of the downlink scrambling cell corresponding to each target UE in the at least one second time length; the second time length is the time length before the current time; aiming at each target UE, training to obtain a seventh prediction model according to at least one second time length and the position information in the at least one second time length; the plurality of target UEs are in one-to-one correspondence with the plurality of seventh predictive models.

With reference to the first aspect, in one possible implementation manner, the method further includes: receiving a downlink scrambling cell message sent by a target cell; the downlink scrambling cell message comprises the identification of the downlink scrambling cell in at least one second duration determined by each target UE; the downlink interference application cell is a cell in which the average value of signal strengths of interference measurement signals measured by the target UE in at least one second duration is larger than a fifth preset threshold value.

With reference to the first aspect, in one possible implementation manner, the method further includes: receiving a downlink interference signal message sent by a target cell; the downlink interference signal message comprises an identifier of each target UE, signal strength of each interference measurement signal measured in at least one second duration and a corresponding cell identifier; and aiming at each target UE, taking a cell, of which the average value of the signal intensity of each interference measurement signal measured by one target UE in at least one second time period is larger than a fifth preset threshold value, as a downlink scrambling cell corresponding to one target UE in at least one second time period.

With reference to the first aspect, in one possible implementation manner, the method further includes: determining at least one target UE cluster according to the position information of each target UE in at least one second time period; the target UE cluster comprises a plurality of target UEs; the second time length is the time length before the current time; acquiring an eighth prediction model of each target UE cluster; the eighth prediction model is used for predicting a downlink scrambling cell of the target UE cluster in the target time period; and inputting the first time length into an eighth prediction model corresponding to the target UE cluster aiming at each target UE cluster to obtain downlink scrambling cells of a plurality of target UEs included in the target UE cluster in the first time length.

With reference to the first aspect, in one possible implementation manner, the method further includes: training to obtain an eighth prediction model according to at least one second time length and the identifiers of the downlink scrambling cells of the plurality of target UE in the at least one second time length aiming at each target UE cluster; the plurality of target UE clusters are in one-to-one correspondence with the plurality of eighth predictive models.

With reference to the first aspect, in one possible implementation manner, the method further includes: taking the uplink scrambling cell as a first scrambling cell under the condition that the scrambling cell comprises the uplink scrambling cell; under the condition that the scrambling cell comprises a downlink scrambling cell, taking a cell meeting a preset interference condition in the downlink scrambling cell as a second scrambling cell; the preset interference conditions include: the ratio of the number of the interfered target UE to the number of the UE accessed into the target cell is larger than or equal to a preset interference threshold value; the method includes determining that the set of interfering cells includes at least one of a first scrambling cell and a second scrambling cell.

With reference to the first aspect, in one possible implementation manner, the method further includes: sending an interference characteristic parameter request message to a target cell; the interference characteristic parameter request message is used for indicating the target cell to acquire the interference characteristic parameter; the interference characteristic parameter comprises at least one of the following: the uplink interference intensity in at least one second time period, the identification of each target UE in at least one second time period, the corresponding downlink interference intensity, the identification of each target UE in at least one second time period and the corresponding position information; receiving an interference characteristic parameter response message sent by a target cell; the interference characteristic parameter response message includes an interference characteristic parameter.

In a second aspect, the present application provides an interference coordination device, comprising: a communication unit and a processing unit; the processing unit is used for predicting scrambling cells in each first duration in a plurality of first durations; the interference exerting cell is a cell which causes interference to a target cell or target User Equipment (UE); the target UE is any UE accessed to the target cell; the first time length is the time length after the current time; the processing unit is further used for determining an interference cell group in one first time length according to the interference cells in one first time length for each first time length; the interference cell group comprises a target cell and cells to be subjected to interference coordination in the interference application cells; the processing unit is also used for predicting the interference intensity of the target cell in a plurality of first time periods; the processing unit is further used for taking the duration meeting the first preset condition in the plurality of first durations as a target duration; the first preset condition includes: the interference intensity of the target cell in the first duration is greater than a first preset threshold; a communication unit, configured to send an interference coordination message to each first cell; the first cell is any one cell in the interference cell group in the target duration, and the interference coordination message is used for indicating the first cell to execute interference coordination in the target duration.

With reference to the second aspect, in one possible implementation manner, the processing unit is configured to: executing first operation aiming at each first duration to obtain interference intensity of a target cell in a plurality of first durations; the first operation includes: predicting uplink interference intensity in a first duration; predicting the downlink interference intensity in a first duration; the uplink interference intensity of the target cell and the downlink interference intensity of each target UE are weighted and calculated to obtain the interference intensity of the target cell in a first duration; the uplink interference strength is the strength of an interference signal received by the target cell, and the downlink interference strength is the strength of an interference signal received by the target UE.

With reference to the second aspect, in one possible implementation manner, the strength of the interference signal received by the target cell refers to a sum of strength values of signals that cause interference to the target cell in a preset unit time period; the strength of the interference signal received by the target UE is the sum of the strength values of the signals causing interference to the target UE in a preset unit time period; the sum of the intensity values of the signals is determined according to interference measurement signals periodically transmitted by cells except the target cell in a preset area according to preset power.

With reference to the second aspect, in one possible implementation manner, the processing unit is configured to: acquiring a first prediction model; the first prediction model is used for predicting uplink interference intensity in a target time period; and inputting the first time length into a first prediction model to obtain the uplink interference intensity in the first time length.

With reference to the second aspect, in one possible implementation manner, the processing unit is configured to: training to obtain a first prediction model according to at least one second duration and uplink interference intensity in at least one second duration; the second time period is a time period before the current time.

With reference to the second aspect, in one possible implementation manner, the processing unit is configured to: acquiring a second prediction model and a third prediction model of each target UE; the second prediction model is used for predicting the downlink interference intensity of the target UE in the target time period; the third prediction model is used for predicting the position information of the target UE in the target time period; respectively inputting the first time length into a third prediction model of each target UE to obtain the position information of each target UE in the first time length; and respectively inputting the first time length and the position information of each target UE in the first time length into a second prediction model to obtain the downlink interference intensity in the first time length corresponding to each target UE.

With reference to the second aspect, in one possible implementation manner, the processing unit is configured to: training to obtain a second prediction model according to at least one second time length, the position information of each target UE in the at least one second time length and the downlink interference intensity corresponding to each target UE in the at least one second time length; the second time length is the time length before the current time; training to obtain a third prediction model according to at least one second time length and position information in at least one second time length aiming at each target UE; the plurality of target UEs are in one-to-one correspondence with the plurality of third predictive models.

With reference to the second aspect, in one possible implementation manner, the processing unit is configured to: determining at least one target UE cluster according to the position information of each target UE in at least one second time period; the target UE cluster comprises a plurality of target UEs; the second time length is the time length before the current time; acquiring a fourth prediction model of each target UE cluster; the fourth prediction model is used for predicting the downlink interference intensity of the target UE cluster in the target time period; and inputting the first time length into a fourth prediction model corresponding to the target UE cluster aiming at each target UE cluster to obtain the downlink interference intensity of a plurality of target UEs included in the target UE cluster in the first time length.

With reference to the second aspect, in one possible implementation manner, the processing unit is configured to: training to obtain a fourth prediction model according to at least one second time length and downlink interference intensity of a plurality of target UE in at least one second time length aiming at each target UE cluster; the plurality of target UE clusters are in one-to-one correspondence with the plurality of fourth predictive models.

With reference to the second aspect, in one possible implementation manner, the processing unit is configured to: clustering the position information of the target UE in the second time length by a clustering algorithm for each second time length to obtain at least one UE cluster in the second time length; the UE cluster includes at least one target UE; matching at least one UE cluster respectively included in any two adjacent second time periods through a matching algorithm to determine at least one target UE cluster; the two adjacent second time periods are continuous two second time periods after at least one second time period is arranged in time sequence.

With reference to the second aspect, in one possible implementation manner, the processing unit is configured to: determining that each target UE cluster in the at least one target UE cluster includes at least one target UE combination satisfying a second preset condition; the target UE combination comprises a first target UE and a corresponding second target UE; the second preset condition includes a ratio of the number of matching durations to the total number of at least one second duration being greater than a second preset threshold; within the matching time length, the distance between the first target UE and the second target UE in the target UE combination is smaller than a third preset threshold value; the first target UE and the second target UE are one of the target UEs.

With reference to the second aspect, in one possible implementation manner, the scrambling cell includes at least one of an uplink scrambling cell and a downlink scrambling cell, where the uplink scrambling cell is a cell that causes interference to the target cell, and the downlink scrambling cell is a cell that causes interference to the target UE.

With reference to the second aspect, in one possible implementation manner, the processing unit is configured to: for each first duration, under the condition that the scrambling cell comprises an uplink scrambling cell, predicting the uplink scrambling cell in the first duration; and predicting the downlink scrambling cells in the first time periods when the scrambling cells comprise the downlink scrambling cells for each first time period.

With reference to the second aspect, in one possible implementation manner, the processing unit is configured to: obtaining a fifth prediction model; the fifth prediction model is used for predicting an uplink scrambling cell in the target time period; and inputting the first time length into a fifth prediction model to obtain an uplink scrambling cell in the first time length.

With reference to the second aspect, in one possible implementation manner, the processing unit is configured to: training according to at least one second duration and the identification of the uplink scrambling cell in the at least one second duration to obtain a fifth prediction model; the second time period is a time period before the current time.

With reference to the second aspect, in one possible implementation manner, the communication unit is configured to: receiving an uplink scrambling cell message sent by a target cell; the uplink scrambling cell message comprises at least one identifier of an uplink scrambling cell in a second duration; the uplink interference applying cell is a cell in which the average value of signal strengths of interference measurement signals measured by the target cell in at least one second duration is larger than a fourth preset threshold.

With reference to the second aspect, in one possible implementation manner, the communication unit is further configured to receive an uplink interference signal message sent by the target cell; the uplink interference signal message comprises the signal intensity of each interference measurement signal measured by the target cell in at least one second duration and the corresponding cell identifier; and the processing unit is also used for taking a cell with the average value of the signal intensity of each interference measurement signal measured by the target cell in at least one second time period larger than a fourth preset threshold value as an uplink interference application cell in at least one second time period.

With reference to the second aspect, in one possible implementation manner, the processing unit is configured to: acquiring a sixth prediction model and a seventh prediction model of each target UE; the sixth prediction model is used for predicting a downlink scrambling cell of the target UE in the target time period; the seventh prediction model is used for predicting the position information of the target UE in the target time period; respectively inputting the first time length into each seventh prediction model to obtain the position information of each target UE in the first time length; and respectively inputting the first time length and the position information of each target UE in the first time length into a sixth prediction model to obtain a downlink scrambling cell corresponding to each target UE in the first time length.

With reference to the second aspect, in one possible implementation manner, the processing unit is configured to: training to obtain a sixth prediction model according to at least one second time length, the position information of each target UE in the at least one second time length and the identification of the downlink scrambling cell corresponding to each target UE in the at least one second time length; the second time length is the time length before the current time; aiming at each target UE, training to obtain a seventh prediction model according to at least one second time length and the position information in the at least one second time length; the plurality of target UEs are in one-to-one correspondence with the plurality of seventh predictive models.

With reference to the second aspect, in one possible implementation manner, the communication unit is configured to: receiving a downlink scrambling cell message sent by a target cell; the downlink scrambling cell message comprises the identification of the downlink scrambling cell in at least one second duration determined by each target UE; the downlink interference application cell is a cell in which the average value of signal strengths of interference measurement signals measured by the target UE in at least one second duration is larger than a fifth preset threshold value.

With reference to the second aspect, in one possible implementation manner, the communication unit is further configured to receive a downlink interference signal message sent by the target cell; the downlink interference signal message comprises an identifier of each target UE, signal strength of each interference measurement signal measured in at least one second duration and a corresponding cell identifier; the processing unit is further configured to, for each target UE, use a cell, in which the average value of signal strengths of interference measurement signals measured by one target UE in at least one second duration is greater than a fifth preset threshold, as a downlink scrambling cell corresponding to one target UE in at least one second duration.

With reference to the second aspect, in one possible implementation manner, the processing unit is configured to: determining at least one target UE cluster according to the position information of each target UE in at least one second time period; the target UE cluster comprises a plurality of target UEs; the second time length is the time length before the current time; acquiring an eighth prediction model of each target UE cluster; the eighth prediction model is used for predicting a downlink scrambling cell of the target UE cluster in the target time period; and inputting the first time length into an eighth prediction model corresponding to the target UE cluster aiming at each target UE cluster to obtain downlink scrambling cells of a plurality of target UEs included in the target UE cluster in the first time length.

With reference to the second aspect, in one possible implementation manner, the processing unit is configured to: training to obtain an eighth prediction model according to at least one second time length and the identifiers of the downlink scrambling cells of the plurality of target UE in the at least one second time length aiming at each target UE cluster; the plurality of target UE clusters are in one-to-one correspondence with the plurality of eighth predictive models.

With reference to the second aspect, in one possible implementation manner, the processing unit is configured to: taking the uplink scrambling cell as a first scrambling cell under the condition that the scrambling cell comprises the uplink scrambling cell; under the condition that the scrambling cell comprises a downlink scrambling cell, taking a cell meeting a preset interference condition in the downlink scrambling cell as a second scrambling cell; the preset interference conditions include: the ratio of the number of the interfered target UE to the number of the UE accessed into the target cell is larger than or equal to a preset interference threshold value; the method includes determining that the set of interfering cells includes at least one of a first scrambling cell and a second scrambling cell.

With reference to the second aspect, in one possible implementation manner, the communication unit is configured to: sending an interference characteristic parameter request message to a target cell; the interference characteristic parameter request message is used for indicating the target cell to acquire the interference characteristic parameter; the interference characteristic parameter comprises at least one of the following: the uplink interference intensity in at least one second time period, the identification of each target UE in at least one second time period, the corresponding downlink interference intensity, the identification of each target UE in at least one second time period and the corresponding position information; receiving an interference characteristic parameter response message sent by a target cell; the interference characteristic parameter response message includes an interference characteristic parameter.

In a third aspect, the present application provides an interference coordination device, comprising: a processor and a communication interface; the communication interface is coupled to a processor for running a computer program or instructions to implement the interference coordination method as described in any one of the possible implementations of the first aspect and the first aspect.

In a fourth aspect, the present application provides a computer readable storage medium having instructions stored therein which, when run on a terminal, cause the terminal to perform an interference coordination method as described in any one of the possible implementations of the first aspect and the first aspect.

In a fifth aspect, the application provides a computer program product comprising instructions which, when run on an interference coordination device, cause the interference coordination device to perform the interference coordination method as described in any one of the possible implementations of the first aspect and the first aspect.

In a sixth aspect, the present application provides a chip comprising a processor and a communication interface, the communication interface and the processor being coupled, the processor being for running a computer program or instructions to implement the interference coordination method as described in any one of the possible implementations of the first aspect and the first aspect.

In particular, the chip provided in the present application further includes a memory for storing a computer program or instructions.

It should be noted that the above-mentioned computer instructions may be stored in whole or in part on a computer-readable storage medium. The computer readable storage medium may be packaged together with the processor of the apparatus or may be packaged separately from the processor of the apparatus, which is not limited in this respect.

In a seventh aspect, the present application provides an interference coordination system, comprising: an interference coordination device and a plurality of cells, wherein the interference coordination device is configured to perform the interference coordination method as described in any one of the possible implementations of the first aspect and the first aspect.

The description of the second to seventh aspects of the present application may refer to the detailed description of the first aspect; also, the advantageous effects described in the second aspect to the seventh aspect may refer to the advantageous effect analysis of the first aspect, and are not described herein.

In the present application, the names of the above-mentioned interference coordination means do not constitute limitations on the devices or function modules themselves, and in actual implementation, these devices or function modules may appear under other names. Insofar as the function of each device or function module is similar to that of the present application, it falls within the scope of the claims of the present application and the equivalents thereof.

These and other aspects of the application will be more readily apparent from the following description.

Drawings

Fig. 1 is a schematic diagram of an interference coordination system according to an embodiment of the present application;

fig. 2 is a flowchart of an interference coordination method according to an embodiment of the present application;

fig. 3 is a flowchart of another interference coordination method according to an embodiment of the present application;

FIG. 4 is a flowchart of a first operation provided by an embodiment of the present application;

FIG. 5 is a flowchart of a first alternative operation provided by an embodiment of the present application;

fig. 6 is a flowchart of another interference coordination method according to an embodiment of the present application;

Fig. 7 is a schematic structural diagram of an interference coordination device according to an embodiment of the present application;

fig. 8 is a schematic structural diagram of another interference coordination device according to an embodiment of the present application.

Detailed Description

The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.

The term "and/or" is herein merely an association relationship describing an associated object, meaning that there may be three relationships, e.g., a and/or B, may represent: a exists alone, A and B exist together, and B exists alone.

The terms "first" and "second" and the like in the description and in the drawings are used for distinguishing between different objects or between different processes of the same object and not for describing a particular order of objects.

Furthermore, references to the terms "comprising" and "having" and any variations thereof in the description of the present application are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed but may optionally include other steps or elements not listed or inherent to such process, method, article, or apparatus.

It should be noted that, in the embodiments of the present application, words such as "exemplary" or "such as" are used to mean serving as an example, instance, or illustration. Any embodiment or design described herein as "exemplary" or "e.g." in an embodiment should not be taken as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "such as" is intended to present related concepts in a concrete fashion.

In the description of the present application, unless otherwise indicated, the meaning of "a plurality" means two or more.

In view of this, the present application provides an interference coordination method, in which an interference coordination device determines an interference cell group that needs to perform interference coordination by predicting an interfering cell that causes interference to a target cell in a future period of time. The interference coordination means further determines the interference strength of the target cell in the future time period, and determines a target time period for which interference coordination is to be performed according to the interference strength, so that each cell performs interference coordination in the specified target time period. Therefore, the application can dynamically predict the target duration of the interference coordination to be executed in the future time period and the interference cell group corresponding to the target duration based on the data in the history time period, thereby triggering the interference coordination in time before the interference occurs, solving the problem of signal interference among cells in time and improving the interference coordination effect.

The following describes embodiments of the present application in detail with reference to the drawings.

Fig. 1 is a block diagram of an interference coordination system 10 according to an embodiment of the present application. As shown in fig. 1, the interference coordination system 10 includes: an interference coordination means 101, at least one access network device 102 in a preset area, and at least one User Equipment (UE) 103.

The interference coordination device 101 is connected to at least one access network device 102 through a communication link, and the at least one access network device 102 is connected to UEs 103 in a configured cell (cell) through a communication link. The communication link may be a wired communication link or a wireless communication link, which is not limited in this regard by the present application.

It should be noted that each access network device 102 is configured with one or more cells. The UE103 in the cell performs network communication by accessing the access network device 102 corresponding to the cell. The interference coordination apparatus 101 acquires parameter information of each cell and the UE103 in each cell through the access network device 102. Such as location information of the UE103, cell identity, interference strength, etc.

The interference coordination device 101 may be a stand-alone communication device, such as a server. The interference coordination means 101 may also be a functional module in a maintenance platform for a core network device or a communication device coupled to the access network device 102, the communication system.

For example, the interference coordination apparatus 101 includes:

the processor may be a general purpose central processing unit (central processing unit, CPU), microprocessor, application-specific integrated circuit (ASIC), or one or more integrated circuits for controlling the execution of the programs of the present application.

The transceiver may be a device using any transceiver or the like for communicating with other devices or communication networks, such as ethernet, radio access network (radio access network, RAN), wireless local area network (wireless local area networks, WLAN), etc.

Memory, which may be, but is not limited to, read-only memory (ROM) or other type of static storage device that may store static information and instructions, random access memory (random access memory, RAM) or other type of dynamic storage device that may store information and instructions, but may also be electrically erasable programmable read-only memory (electrically erasable programmable read-only memory, EEPROM), compact disc read-only memory (compact disc read-only memory) or other optical disc storage, optical disc storage (including compact disc, laser disc, optical disc, digital versatile disc, blu-ray disc, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. The memory may be stand alone and be coupled to the processor via a communication line. The memory may also be integrated with the processor.

The access network device 102 is a device located at the access network side of the communication system and having a wireless transceiving function or a chip system that can be provided in the device. Access network devices 102 include, but are not limited to: an Access Point (AP) in a WiFi system, such as a home gateway, a router, a server, a switch, a bridge, etc., an evolved NodeB (eNB), a radio network controller (radio network controller, RNC), a NodeB (NB), a base station controller (base station controller, BSC), a base transceiver station (base transceiver station, BTS), a home base station (e.g., home evolved NodeB, or home NodeB, HNB), a Base Band Unit (BBU), a radio relay node, a radio backhaul node, a transmission point (transmission and reception point, TRP, transmission point, TP), etc., may also be a 5G base station, such as a gNB in a new air interface (new radio, NR) system, or a transmission point (TRP, TP), an antenna panel or a group of base stations in a 5G system (including multiple antenna panels), or may also be a network node constituting a gNB or a transmission point, such as a Base Band Unit (BBU), or a distributed unit (distributed unit), a base station having a roadside unit (RSU), an access network (RSU), a base station-side unit (RSU), or a service node (RSU), etc. The access network device 102 also includes base stations in different networking modes, such as a master enhanced NodeB (MeNB), a secondary eNB (SeNB), or a secondary gNB (SgNB). The access network equipment 102 also includes different types, such as ground base stations, air base stations, satellite base stations, and the like.

UE103, a device with wireless communication capabilities, may be deployed on land, including indoors or outdoors, hand held or vehicle mounted. Can also be deployed on the water surface (such as a ship, etc.). But may also be deployed in the air (e.g., on aircraft, balloon, satellite, etc.). The UE103, also called a Mobile Station (MS), a Mobile Terminal (MT), a terminal device, etc., is a device that provides voice and/or data connectivity to a user. For example, the UE103 includes a handheld device, an in-vehicle device, and the like having a wireless connection function. Currently, the UE103 may be: a mobile phone, a tablet, a laptop, a palmtop, a mobile internet device (mobile internet device, MID), a wearable device (e.g., a smartwatch, a smartband, a pedometer, etc.), a vehicle-mounted device (e.g., an automobile, a bicycle, an electric car, an airplane, a ship, a train, a high-speed rail, etc.), a Virtual Reality (VR) device, an augmented reality (augmented reality, AR) device, a wireless terminal in an industrial control (industrial control), a smart home device (e.g., a refrigerator, a television, an air conditioner, an electric meter, etc.), a smart robot, a workshop device, a wireless terminal in a drone (self driving), a wireless terminal in a teleoperation (remote medical surgery), a wireless terminal in a smart grid (smart grid), a wireless terminal in a transportation security (transportation safety), a wireless terminal in a smart city (smart city), or a wireless terminal in a smart home (smart home), a flying device (e.g., a smart robot, a hot balloon, an airplane, etc.

The interference coordination means 101 is configured to predict the interfering cells in each of the plurality of first time durations.

The first duration is a duration after the current time, the interference exerting cell is a cell causing interference to a target cell or a target UE, the target cell is any one cell in a preset area, and the target UE is any one UE accessed to the target cell.

The first duration may be a preset unit time period, for example, a preset value of unit time period of 5 minutes, 15 minutes, 60 minutes, or the like, which is not limited by the present application.

In a possible implementation manner, the interference coordination device 101 may acquire the scrambling cells in the second time periods through the access network device 102 corresponding to the target cell, so as to predict the scrambling cells in the first time period according to the scrambling cells in the second time periods.

The second time length is a time length before the current time.

For example, the second duration may be a preset unit time period, and at least one access network device 102 in the preset area may periodically transmit the interference measurement signal with a preset power using a preset subcarrier. The subcarriers occupied by the interference measurement signals are uniformly distributed on the whole bandwidth of the cell in a comb structure, and the distribution density can be set according to practical conditions, for example, one interference measurement signal is configured every 10 subcarriers.

The interference measurement signal may be an existing reference signal (reference signal), such as a cell-specific reference signal (CRS), a channel state reference signal (channel state information reference signal, CSI-RS), a demodulation reference signal (demodulation reference signal, DMRS), or the like, or may be a newly introduced reference signal in the future.

The access network device 102 corresponding to the target cell may receive the interference measurement signal sent by the other access network device 102, determine whether to cause interference to the cell configured by itself according to the signal strength of the interference measurement signal, and send the cell identifier causing interference to the interference coordination device 101.

The target UE in the target cell may receive the interference measurement signal sent by the other access network device 102, determine whether to cause interference to itself according to the signal strength of the interference measurement signal, and send the cell identifier causing interference to the access network device 102 corresponding to the cell where the target UE is located. The access network device 102 sends the cell identity to the interference coordination means 101.

The interference coordination apparatus 101 may further receive signal strengths of interference measurement signals sent by other access network devices 102 measured by the access network device 102 and signal strengths of interference measurement signals sent by other access network devices 102 measured by the target UE103, so as to determine scrambling cells in a plurality of second durations.

The interference coordination means 101 is further configured to predict the interference strength of the target cell for a plurality of first time periods.

In a possible implementation manner, the interference coordination device 101 may determine the interference strength of the target cell in the first duration according to the uplink interference strength and the downlink interference strength in the first duration.

The uplink interference strength is the strength of an interference signal received by the target cell. The downlink interference strength is the strength of the interference signal received by the target UE.

The strength of the interference signal received by the target cell refers to the sum of the strength values of all signals interfering with the target cell in a certain period of time. The strength of the interference signal received by the target UE refers to the sum of the strength values of the signals that cause interference to the target UE for a certain period of time. The sum of the strength values may be determined by the signal strength of the received interference measurement signals transmitted by the other access network devices 102.

The interference coordination means 101 is further arranged for determining a target duration of the plurality of first durations based on the interference strength.

The interference coordination means 101 is also arranged to send interference coordination information to each first cell.

The first cell is any one cell of the interference cell group in the target duration, and the interference coordination information is used for indicating the first cell to execute interference coordination in the target duration.

It should be noted that, the interference coordination policy performed by the first cell may refer to related technologies, for example, time domain interference coordination, frequency domain interference coordination, and the like, which is not limited by the present application.

According to the application, the interference coordination device 101 can predict the target duration of interference and the corresponding interference cell group in the future time period before the target cell is interfered, and instruct the cells in the interference cell group to execute interference coordination in the target duration, so that the problem of signal interference among cells can be solved in time, and the interference coordination effect is improved.

It should be noted that, the embodiments of the present application may refer to or refer to each other, for example, the same or similar steps, and the method embodiment, the system embodiment and the device embodiment may refer to each other, which is not limited.

Fig. 2 is a flowchart of an interference coordination method according to an embodiment of the present application. As shown in fig. 2, the method comprises the steps of:

step 201, the interference coordination device predicts the scrambling cells in each of a plurality of first time periods.

The interference exerting cell is a cell which causes interference to a target cell or a target UE, and the first duration is the duration after the current moment; the target UE is any UE accessing the target cell. The target cell is any cell in a preset area. The range of the preset area can be set according to practical situations, and the application is not limited to this.

In a possible implementation manner, the scrambling cell includes at least one of an uplink scrambling cell and a downlink scrambling cell, where the uplink scrambling cell is a cell that causes interference to the target cell, and the downlink scrambling cell is a cell that causes interference to the target UE.

For each first duration, under the condition that the scrambling cell comprises an uplink scrambling cell, the interference coordination device predicts the uplink scrambling cell in the first duration;

for each first duration, the interference coordination device predicts the downlink scrambling cell in the first duration when the scrambling cell comprises the downlink scrambling cell.

Step 202, for each first duration, the interference coordination device determines an interference cell group in one first duration according to the interference cells in one first duration.

The interference cell group comprises a target cell and cells to be subjected to interference coordination in the interference application cells.

For example, the first time periods are a first time period T0 and a first time period T1, the target cell is identified as cell0, and the cells to be subjected to interference coordination in the scrambling cells within the first time period T0 are cell1 and cell2. The cells to be subjected to interference coordination in the scrambling cells in the first time length T1 are cell1, cell2 and cell3. The interference cell groups for the plurality of first time periods are shown in table 1 below:

Table 1 list of interference cell groups for a plurality of first time periods

First time length mark	Target cell identification	Scrambling cell identification
			T0	cell0	cell1,cell2
T1	cell0	cell1，cell2，cell3

In a possible implementation manner, for each first duration, in a case that the scrambling cell includes an uplink scrambling cell, the interference coordination device takes the uplink scrambling cell as the first scrambling cell.

For each first duration, when the scrambling cell includes a downlink scrambling cell, the interference coordination device takes a cell meeting a preset interference condition in the downlink scrambling cell as a second scrambling cell.

The preset interference conditions comprise: the ratio of the number of interfered target UEs to the number of UEs accessing the target cell is greater than or equal to a preset interference threshold.

The interference coordination means determines that the interference cell group includes at least one of a first scrambling cell and a second scrambling cell.

The preset interference threshold may be set according to practical situations, which is not limited in the present application.

For example, the preset interference threshold is 60%, and the uplink scrambling cell includes: cell1, cell2. The UE accessing the target cell comprises: UE1, UE2 and UE3. The downlink interfering cells that cause interference to the UE are shown in table 2 below:

table 2 downlink scrambling cell list

Target UE identity	Downlink scrambling cell identification
		UE1	cell3，cell4，cell5
UE2	cell3，cell4
		UE3	cell3

The interference coordination device takes the cell1 and the cell2 as a first interference application cell in interference application cells to be subjected to interference coordination.

The ratio of the number of the target UEs interfered by the downlink scrambling cell3 to the number of the UEs accessing the target cell is 100%, the ratio of the number of the target UEs interfered by the downlink scrambling cell4 to the number of the UEs accessing the target cell is 66.7%, and the ratio of the number of the target UEs interfered by the downlink scrambling cell5 to the number of the UEs accessing the target cell is 33.3%.

Therefore, the downlink scrambling cells cell3 and cell4 meet the preset interference condition, and the interference coordination device takes the downlink scrambling cells cell3 and cell4 as the second scrambling cells.

It should be noted that, the downlink scrambling cells corresponding to different target UEs may be different. The more the number of target UEs interfered by the downlink scrambling cell, the greater the influence of the downlink scrambling cell on the downlink transmission performance of the target cell is. Otherwise, the smaller the number of target UEs interfered by the downlink scrambling cell, the smaller the influence of the downlink scrambling cell on the downlink transmission performance of the target cell is.

Therefore, the interference coordination device in the application can take the cell with larger influence on the downlink transmission performance of the target cell in the downlink interference cell as the second interference cell, so that the subsequent interference coordination is carried out on the second interference cell. Therefore, the interference coordination method provided by the application can simultaneously consider the interference problem of the target cell and the normal service transmission of the interference exerting cell, thereby reducing the interference influence of other cells on the target cell and avoiding influencing the network performance of the interference exerting cell.

Step 203, the interference coordination device predicts the interference intensity of the target cell in a plurality of first time periods.

The interference intensity of the target cell in the first time periods is used for representing the interference degree of the access network equipment where the target cell is located and the target UE accessed to the target cell in the first time periods.

In one possible implementation manner, the interference coordination device determines the interference strength of the target cell in the first duration according to the uplink interference strength and the downlink interference strength.

The strength of the interference signal received by the target cell refers to the sum of the strength values of the signals that cause interference to the target cell in a preset unit time period. The strength of the interference signal received by the target UE is the sum of the strength values of the signals that cause interference to the target UE in a preset unit time period. The sum of the intensity values of the signals is determined according to interference measurement signals periodically transmitted by cells except the target cell in a preset area according to preset power.

Illustratively, the interference measurement signal may be an existing reference signal (reference signal), such as a cell-specific reference signal (CRS), a channel state reference signal (channel state information reference signal, CSI-RS), a demodulation reference signal (demodulation reference signal, DMRS), or the like, or may be a newly introduced reference signal in the future. The signal strength of the interference measurement signal may be the reference signal received power.

And 204, the interference coordination device takes the duration meeting the first preset condition in the plurality of first durations as a target duration.

The first preset condition comprises: the interference strength of the target cell within the first time period is greater than a first preset threshold. The target time period is at least one time period of the plurality of first time periods.

The first preset threshold may be set according to practical situations, which is not limited by the present application.

The stronger the interference strength of the target cell, the poorer the communication quality between the access network device where the target cell is located and the target UE. Conversely, the weaker the interference strength of the target cell, the better the communication quality of the access network device where the target cell is located and the target UE. Therefore, the interference coordination device determines the time length needed to execute interference coordination in a plurality of first time lengths in a mode of setting a first preset threshold, so that the signal interference problem of the target cell in the target time length is solved, and the network performance of each cell in the time length except the target time length is ensured.

Step 205, the interference coordination device sends an interference coordination message to each first cell.

The first cell is any one cell of the interference cell group in the target duration, and the interference coordination message is used for indicating the first cell to execute interference coordination in the target duration.

Illustratively, the interference coordination message includes a target time duration and an identity of each cell in the set of interfering cells within the target time duration.

In a possible implementation manner, in the case that the target duration is multiple target durations, the interference coordination device determines an interference cell group in any one of the target durations, and sends a target interference coordination message to each first cell in the interference cell group.

The following describes a procedure in which the interference coordination means predicts the interference strengths of the target cell for a plurality of first time periods.

As a possible embodiment of the present application, in conjunction with fig. 2, as shown in fig. 3, the above-mentioned step 203 may also be implemented by the following step 301.

Step 301, for each first duration, the interference coordination device executes a first operation to obtain interference intensities of the target cell in a plurality of first durations.

As shown in fig. 4, the first operation includes the following steps 401 to 403:

step 401, the interference coordination device predicts uplink interference intensity in a first duration.

The uplink interference strength is the strength of an interference signal received by the target cell. The strength of the interference signal received by the target cell refers to the sum of the strength values of the signals that cause interference to the target cell in a preset unit time period. The sum of the intensity values can be determined by the signal intensity of interference measurement signals sent by other access network devices which have the same carrier frequency as the target cell and are received by the access network device where the target cell is located.

Step 402, the interference coordination device predicts the downlink interference intensity in the first duration.

The downlink interference strength is the strength of an interference signal received by the target UE. The strength of the interference signal received by the target UE is the sum of the strength values of the signals that cause interference to the target UE in a preset unit time period. The sum of the strength values may be determined by the signal strength of interference measurement signals sent by other access network devices received by the target UE.

Step 403, the interference coordination device determines the interference intensity of the target cell in the first duration according to the uplink interference intensity and the downlink interference intensity.

In a possible implementation manner, the interference coordination device obtains the interference intensity of the target cell in the first duration according to the weighted calculation of the uplink interference intensity of the target cell and the downlink interference intensity of each target UE.

The weight value of the target cell and each target UE may be set according to actual situations, for example, the interference coordination device sets the weight value of the target cell to a first weight value, and determines the weight value of the target UE according to the distance between the target UE and the access network device where the target cell is located.

Based on the technical scheme, when the interference coordination device predicts the interference intensity of the target cell in the first time periods, the influence of the signal interference suffered by the access network equipment of the target cell and the influence of the signal interference suffered by the target UE accessed into the target cell can be considered simultaneously, so that the signal interference condition of the target cell in the first time periods can be reflected more accurately, and the target time period for executing interference coordination in the future time period can be determined better later.

The following describes a procedure in which the interference coordination device predicts the uplink interference strength in the first duration.

As a possible embodiment of the present application, in connection with fig. 4, as shown in fig. 5, the above-mentioned step 401 may also be implemented by the following steps 501-502.

Step 501, the interference coordination device acquires a first prediction model.

The first prediction model is used for predicting uplink interference intensity in a target time period.

In a possible implementation manner, the interference coordination device trains to obtain the first prediction model according to at least one second duration and uplink interference intensity in at least one second duration.

The second time period is a time period before the current time. The first prediction model is used for representing the change rule of the uplink interference intensity of the target cell along with time.

Illustratively, the first predictive model may be a time series predictive model (time series forecasting model), such as a differential integrated moving average autoregressive model (autoregressive integrated moving average model, ARIMA), a PROPHET model, a long short-term memory network model (LSTM), and the like.

In one possible implementation manner, the interference coordination device may acquire uplink interference strength in at least one second duration from the access network device where the target cell is located.

The access network device of the target cell measures the signal strength of the interference measurement signals sent by other cells, so as to determine the uplink interference strength as the sum of the signal strengths of the interference measurement signals.

The access network equipment of the target cell sends the uplink interference intensity in at least one second duration to the interference coordination device.

Or the access network equipment where the target cell is located can send the measured signal strength of the interference measurement signal sent by the other cell to the interference coordination device. The interference coordination means determines the uplink interference strength as the sum of the signal strengths of each interference measurement signal.

The other cells may be cells in the preset area, where the carrier frequencies exist in the same carrier frequencies as those of the target cell.

Step 502, the interference coordination device inputs the first time length into a first prediction model, so as to obtain uplink interference intensity in the first time length.

It should be noted that the model training process in step 501 may be performed once. For a plurality of first durations, the interference coordination device executes step 502 for a plurality of times, and each first duration is respectively input into a first prediction model to obtain uplink interference intensities in the plurality of first durations.

Based on the technical scheme, the interference coordination device can train the model through the uplink interference intensity of the target cell in the historical time period, so that the uplink interference intensity of the target cell in the future time period is predicted based on the prediction model, and the interference intensity in the future time period is determined conveniently.

Hereinafter, a procedure of predicting the downlink interference strength in the first duration by the interference coordination device will be described.

As a possible embodiment of the present application, in connection with fig. 4, as shown in fig. 5, the above-mentioned step 402 may also be implemented by the following steps 503 to 506.

Step 503, the interference coordination device acquires a second prediction model.

The second prediction model is used for predicting the downlink interference intensity of the target UE in the target time period.

In a possible implementation manner, the interference coordination device trains to obtain the second prediction model according to at least one second duration, the position information of each target UE in the at least one second duration, and the downlink interference intensity corresponding to each target UE in the at least one second duration.

The second duration is a duration before the current moment, and the second prediction model is used for representing a change rule of downlink interference intensity of the target UE along with time and the position of the target UE.

By way of example, the second predictive model may be a regression model, such as a linear regression (linear regression) model, a polynomial regression (polynomial regression) model, a ridge regression (ridge regression) model, and the like.

In a possible implementation manner, the interference coordination device may instruct the target cell to acquire the downlink interference strength measured by the accessed target UE for at least one second duration.

Illustratively, the target UE measures the signal strengths of the interference measurement signals transmitted by other cells, thereby determining the downlink interference strength as the sum of the signal strengths of each interference measurement signal.

And the target UE periodically reports the downlink interference intensity in at least one second time period to the accessed target cell. The target cell sends a response message including the downlink interference strength for at least one second duration to the interference coordination device.

Alternatively, the target UE may report the signal strength of the interference measurement signal sent by the other measured cell to the accessed target cell periodically. The target cell transmits a response message including the signal strength of each interference measurement signal to the interference coordination device. The interference coordination means determines the downlink interference strength as the sum of the signal strengths of each interference measurement signal.

The other cells may be cells having a carrier frequency that is repeated with the target cell in the preset area.

Step 504, the interference coordination device obtains a third prediction model of each target UE.

In a possible implementation manner, for each target UE, the interference coordination device trains to obtain a third prediction model according to at least one second duration and position information in at least one second duration.

Wherein, a plurality of target UEs are in one-to-one correspondence with a plurality of third prediction models.

It should be noted that, the interference coordination device may train a third prediction model corresponding to each target UE, where the third prediction model is used to characterize a change rule of the location of the target UE with time.

By way of example, the third predictive model may be a bayesian (Bayes) model, an artificial neural network (artificial neural network, ANN) model, a gradient-lifting decision tree (gradient boosting decision tree, GBDT) model, or the like.

In a possible implementation manner, the uplink interference strength in at least one second duration, the identifier of each target UE and the corresponding downlink interference strength in at least one second duration, the identifier of each target UE and the corresponding location information in at least one second duration, and other parameter information in the foregoing embodiment may be determined by:

the interference coordination device sends an interference characteristic parameter request message to the target cell, and correspondingly, the target cell receives the interference characteristic parameter request message sent by the interference coordination device.

The target cell sends an interference characteristic parameter response message to the interference coordination device, and correspondingly, the interference coordination device receives the interference characteristic parameter response message sent by the target cell.

The interference characteristic parameter request message is used for indicating the target cell to acquire the interference characteristic parameter; the interference characteristic parameter comprises at least one of the following: the uplink interference intensity in at least one second time period, the identification of each target UE in at least one second time period, the corresponding downlink interference intensity, the identification of each target UE in at least one second time period and the corresponding position information; the interference characteristic parameter response message includes an interference characteristic parameter.

For example, the target cell may obtain location information for at least one second duration from the accessed target UE.

The location information of the target UE may be represented by longitude and latitude. The manner of determining the location information of the target UE may refer to the prior art, for example, obtained through GPS positioning technology or base station positioning technology.

The order of execution of the steps 503 and 504 is not limited in the present application, and the step 503 may be executed before the step 504, or may be executed after the step 504, or may be executed in parallel with the step 504, which is not limited in the present application.

Step 505, the interference coordination device inputs the first time length into the third prediction model of each target UE, so as to obtain the position information of each target UE in the first time length.

It should be noted that, the third prediction models correspond to the target UEs, and the interference coordination device inputs the first time length into each third prediction model, so that the position information of each target UE in the first time length can be predicted.

Step 506, the interference coordination device inputs the first time length and the position information of each target UE in the first time length into the second prediction model respectively, so as to obtain the downlink interference intensity in the first time length corresponding to each target UE.

The downlink interference intensity in the first duration includes the downlink interference intensity of each target UE in the first duration.

It should be noted that, after predicting the position information of each target UE in the first duration, the interference coordination device may determine, by using the second prediction model, the downlink interference strength of the target UE in the first duration based on the position information of the target UE in the first duration.

Based on the above technical scheme, the interference coordination device can train the third prediction model through the position information of the target UE in the historical time period and the downlink interference intensity in the historical time period, and train the second prediction model through the position information of the target UE in the historical time period for each target UE. In this way, the interference coordination device can predict the position information of each target UE in the future time period through the second prediction model, and further determine the downlink interference intensity in the future time period according to the position information of each target UE in the future time period, so as to determine the interference intensity in the future time period later.

As yet another possible embodiment of the present application, in connection with fig. 4, as shown in fig. 5, the above-mentioned step 402 may also be implemented by the following steps 507-509.

Step 507, the interference coordination device determines at least one target UE cluster according to the position information of each target UE in at least one second duration.

Wherein the target UE cluster includes a plurality of target UEs.

In a possible implementation manner, for each second duration, the interference coordination device may cluster the location information of the target UE in the second duration by using a clustering algorithm, so as to obtain at least one UE cluster in the second duration. The interference coordination device matches at least one UE cluster respectively included in any two adjacent second time periods through a matching algorithm to determine at least one target UE cluster.

It should be noted that, any two adjacent second durations are two consecutive second durations after at least one second duration is arranged in time sequence. The interference coordination device can determine the matching relation of the UE clusters in different time periods according to the position information of each UE cluster in one second time period and the position information of each UE cluster in the other second time period.

The location information of the UE cluster may be determined by the location information of the target UEs included in the UE cluster, for example, a mean value of the location information of each target UE. The matching relationship is used to indicate whether one UE cluster in one of the second time periods is the same target UE cluster as one UE cluster in the other second time period.

For example, the second time period 1 and the second time period 2 are adjacent second time periods, wherein the second time period 1 includes the UE cluster 1, the UE cluster 2 and the UE cluster 3. The second duration 2 includes a UE cluster A, UE cluster B, UE cluster C and a UE cluster D. The interference coordination device determines that a UE cluster 1 and a UE cluster C are the same target UE cluster A through a matching algorithm, determines that a UE cluster 2 and a UE cluster B are the same target UE cluster B, and determines that a UE cluster 3 and a UE cluster A are the same target UE cluster C. For UE cluster D, the interference coordination means determines that there is no UE cluster matching it for the second duration 1.

By way of example, the clustering algorithm may be a K-means clustering (K-means) algorithm, a systematic clustering algorithm, a DBSCAN (Density-based spatial clustering of applications with noise) algorithm. The matching algorithm may be Hungary algorithm (Hungarian algorithm), KM algorithm (Kuhn-Munkres algorithm), HK algorithm (Hopcroft-Karp algorithm).

In yet another possible implementation, the interference coordination device determines that each of the at least one target UE cluster includes at least one target UE combination that satisfies the second preset condition.

The target UE combination includes a first target UE and a corresponding second target UE, and the second preset condition includes that a ratio of a number of matching durations to a total number of at least one second duration is greater than a second preset threshold. And in the matching time length, the distance between the first target UE and the second target UE in the target UE combination is smaller than a third preset threshold value, and the first target UE and the second target UE are one of the target UEs.

It should be noted that, through the above step 507, the interference coordination device may determine at least one target UE cluster, and at least one target UE combination of each target UE cluster in a different second duration.

Step 508, the interference coordination device obtains a fourth prediction model of each target UE cluster.

The fourth prediction model is used for predicting the downlink interference intensity of the target UE cluster in the target time period.

In a possible implementation manner, for each target UE cluster, the interference coordination device trains to obtain a fourth prediction model according to at least one second duration and downlink interference intensities of a plurality of target UEs in the at least one second duration.

The plurality of target UE clusters are in one-to-one correspondence with the plurality of fourth prediction models. The fourth prediction model is used for representing the change rule of the downlink interference intensity of a plurality of target UEs in the target UE cluster along with time.

By way of example, the fourth predictive model may be a time series predictive model (time series forecasting model), such as a differential integrated moving average autoregressive model (autoregressive integrated moving average model, ARIMA), PROPHET model, long short-term memory network model (LSTM), and the like.

Step 509, for each target UE cluster, the interference coordination device inputs the first time length into a fourth prediction model corresponding to the target UE cluster, so as to obtain downlink interference intensities of a plurality of target UEs included in the target UE cluster in the first time length.

In a possible implementation manner, for each fourth prediction model, the interference coordination device uses the obtained downlink interference strength as the downlink interference strength of each target UE in the target UE cluster corresponding to the model. That is, the downlink interference strength of each target UE in the target UE cluster is the same strength.

Based on the above technical scheme, the interference coordination device can determine at least one target UE cluster through the position information of the target UE in the historical time period, train a fourth prediction model based on the downlink interference intensity of the target UE included in each target UE cluster in the historical time period, and further determine the downlink interference intensity of the target UE included in each target UE cluster in the future time period according to the fourth prediction model. Compared with a scheme of determining the downlink interference intensity in a future time period based on the target UE, the interference coordination device can reduce the calculated amount in the process of determining the downlink interference intensity, and improves the processing efficiency.

Hereinafter, a procedure for predicting a scrambling cell in each of a plurality of first time periods by the interference coordination apparatus will be described.

As a possible embodiment of the present application, in connection with fig. 2, as shown in fig. 6, the above-mentioned step 201 may also be implemented by the following steps 601 to 609.

For each first duration, in case the scrambling cell comprises an uplink scrambling cell, the interference coordination means may perform the following steps 601-602.

Step 601, the interference coordination device acquires a fifth prediction model.

The fifth prediction model is used for predicting the uplink scrambling cell in the target time period.

In a possible implementation manner, the interference coordination device trains to obtain a fifth prediction model according to at least one second duration and the identification of the uplink scrambling cell in the at least one second duration.

The second time length is a time length before the current time. The fifth prediction model is used for representing the change rule of the uplink scrambling cell of the target cell along with time.

The fifth predictive model may be, for example, a classification model such as a logistic regression (logistic regression) model, a decision tree (RF) model, a Random Forest (RF) model, a gradient lifting tree (gradient boosting decision tree, GBDT) model, a naive Bayesian modelBayes model, NBM), and the like.

In one possible implementation manner, the interference coordination device may obtain, from the access network device where the target cell is located, an identifier of the uplink scrambling cell within at least one second duration.

The access network device where the target cell is located measures the signal strength of interference measurement signals transmitted by other cells.

For example, the interference coordination device receives an uplink scrambling cell message sent by the target cell.

The uplink scrambling cell message includes an identifier of an uplink scrambling cell in at least one second duration, where the uplink scrambling cell is a cell where an average value of signal strengths of interference measurement signals measured by the target cell in at least one second duration is greater than a fourth preset threshold.

Or the interference coordination device receives the uplink interference signal message sent by the target cell.

The uplink interference signal message includes signal strength of each interference measurement signal measured by the target cell in at least one second duration and a corresponding cell identifier.

And the interference coordination device takes a cell with the average value of the signal intensity of each interference measurement signal measured by the target cell in at least one second time period being larger than a fourth preset threshold value as an uplink interference application cell in at least one second time period.

The more the number of interfering cells is determined by the interference coordination device, the better the effect of suppressing signal interference between cells is when the interference coordination is performed, but the overall complexity of the scheme is also increased, so that the application can consider both the interference coordination performance and the overall complexity of the scheme by adjusting the number of interfering cells through the signal strength of the interference measurement signal.

Step 602, the interference coordination device inputs the first time length into a fifth prediction model to obtain an uplink interference application cell in the first time length.

Based on the technical scheme, the interference coordination device can train a model through the identification of the uplink interference application cell of the target cell in the historical time period, so that the uplink interference application cell of the target cell in the future time period is predicted based on the prediction model, and the interference cell group to be subjected to interference coordination in the future time period is determined conveniently.

As a possible embodiment of the present application, in case the scrambling cell comprises a downlink scrambling cell, the interference coordination means may perform the following steps 603-606.

Step 603, the interference coordination device obtains a sixth prediction model.

The sixth prediction model is used for predicting the downlink scrambling cell of the target UE in the target time period. The sixth prediction model is used for representing the change rule of the downlink scrambling cell of the target UE along with time and the position of the target UE.

In a possible implementation manner, the interference coordination device trains to obtain a sixth prediction model according to at least one second duration, the position information of the target UE in the at least one second duration, and the identifier of the downlink scrambling cell in the at least one second duration.

Illustratively, the sixth predictive model may be a classification model, such as a logistic regression (logistic regression) model, a decision tree (RF) model, a Random Forest (RF) model, a gradient boost decision tree (gradient boosting decision tree, GBDT) model, a naive bayes model (naive Bayes model, NBM), and the like.

In a possible implementation manner, the interference coordination device may acquire, from the target UE accessing the target cell, an identifier of the downlink scrambling cell within at least one second duration.

For example, the interference coordination device receives a downlink scrambling cell message sent by the target cell.

The downlink scrambling cell message comprises the identification of the downlink scrambling cell in at least one second duration determined by each target UE; the downlink interference application cell is a cell in which the average value of signal strengths of interference measurement signals measured by the target UE in at least one second duration is larger than a fifth preset threshold value.

Or the interference coordination device receives the downlink interference signal message sent by the target cell.

The downlink interference signal message includes an identifier of each target UE, a signal strength of each interference measurement signal measured in at least one second duration, and a corresponding cell identifier.

For each target UE, the interference coordination device takes a cell, of which the average value of the signal intensity of each interference measurement signal measured by one target UE in at least one second time period is larger than a fifth preset threshold value, as a downlink interference application cell corresponding to the one target UE in at least one second time period.

The interference measurement signal may be an existing reference signal or a newly introduced reference signal in the future.

Step 604, the interference coordination device obtains a seventh prediction model of each target UE.

Wherein, a plurality of target UEs are in one-to-one correspondence with a plurality of seventh prediction models. The seventh prediction model is used for predicting location information of the target UE within the target time period.

In a possible implementation manner, for each target UE, a seventh prediction model is trained according to at least one second duration and position information in at least one second duration.

Reference is made to the related content in step 504, and details are not repeated here.

It should be noted that the models trained in step 504 and step 604 in the present application may be the same model. That is, only one of the steps 504 and 604 is needed to be performed. For example, after performing step 504, the interference coordination device may directly take the third prediction model as the seventh prediction model. Alternatively, after performing step 604, the interference coordination device may directly take the seventh prediction model as the third prediction model.

The execution order of the steps 603 and 604 is not limited, and the step 603 may be executed before the step 604, or may be executed after the step 604, or may be executed in parallel with the step 604.

Step 605, the interference coordination device inputs the first time length into each seventh prediction model respectively, so as to obtain the position information of each target UE in the first time length.

It should be noted that, the seventh prediction model corresponds to the target UE, and the interference coordination device inputs the first time length into each seventh prediction model, so that the location information of each target UE in the first time length can be predicted.

Step 606, the interference coordination device inputs the first time length and the position information of each target UE in the first time length into the sixth prediction model, so as to obtain the downlink interference cell corresponding to each target UE in the first time length.

The downlink scrambling cells in the first time period comprise downlink scrambling cells of each target UE in the first time period.

It should be noted that, after predicting the position information of each target UE in the first duration, the interference coordination device may determine, by using the sixth prediction model, the downlink scrambling cell of the target UE in the first duration based on the position information of the target UE in the first duration.

Based on the above technical solution, the interference coordination device may train the sixth prediction model by using the location information of the target UE in the historical period and the identifier of the downlink scrambling cell in the historical period, and train the seventh prediction model by using the location information of the target UE in the historical period for each target UE. In this way, the interference coordination device can predict the position information of each target UE in the future time period through the seventh prediction model, and further determine the downlink scrambling cell in the future time period according to the position information of each target UE in the future time period, so as to determine the interference cell group to be subjected to interference coordination in the future time period.

As yet another possible embodiment of the present application, in case the scrambling cell includes a downlink scrambling cell, the interference coordination apparatus may perform the following steps 607 to 609.

In step 607, the interference coordination device determines at least one target UE cluster according to the location information of each target UE in at least one second duration.

Wherein the target UE cluster includes a plurality of target UEs.

Reference is made to the above related content of step 507, and details are not repeated here.

Step 608, the interference coordination device obtains an eighth prediction model of each target UE cluster.

The eighth prediction model is used for predicting the downlink scrambling cell of the target UE cluster in the target time period.

In a possible implementation manner, for each target UE cluster, the interference coordination device trains to obtain an eighth prediction model according to the at least one second duration and the identifiers of the downlink scrambling cells of the plurality of target UEs in the at least one second duration.

Wherein, a plurality of target UE clusters are in one-to-one correspondence with a plurality of eighth predictive models. The eighth prediction model is used for representing the time-dependent change rule of the downlink scrambling cells of the plurality of target UEs in the target UE cluster.

The eighth predictive model may be, for example, a classification model such as a logistic regression (logistic regression) model, a decision tree (RF) model, a Random Forest (RF) model, a gradient boost decision tree (gradient boosting decision tree, GBDT) model, a naive Bayesian model Bayes model, NBM), and the like.

Step 609, for each target UE cluster, the interference coordination device inputs the first time length into an eighth prediction model corresponding to the target UE cluster, so as to obtain downlink scrambling cells of a plurality of target UEs included in the target UE cluster within the first time length.

In a possible implementation manner, for each eighth prediction model, the interference coordination device uses the obtained downlink interference cell as the downlink interference cell of each target UE in the target UE cluster corresponding to the model. That is, the downlink scrambling cell of each target UE in the target UE cluster is the same cell.

Based on the technical scheme, the interference coordination device can determine at least one target UE cluster through the position information of the target UE in the historical time period, train an eighth prediction model based on the downlink scrambling cells of the target UE included in each target UE cluster in the historical time period, and further determine the downlink scrambling cells of the target UE included in each target UE cluster in the future time period according to the eighth prediction model. Compared with the scheme of determining the downlink scrambling cell in the future time period based on the target UE, the interference coordination device can reduce the calculated amount in the process of determining the downlink scrambling cell, and improves the processing efficiency.

The embodiment of the application can divide the functional modules or functional units of the interference coordination device according to the method example, for example, each functional module or functional unit can be divided corresponding to each function, and two or more functions can be integrated in one processing module. The integrated modules may be implemented in hardware, or in software functional modules or functional units. The division of the modules or units in the embodiment of the present application is schematic, which is merely a logic function division, and other division manners may be implemented in practice.

As shown in fig. 7, a schematic structural diagram of an interference coordination device 70 according to an embodiment of the present application is provided, where the device includes:

a processing unit 701, configured to predict scrambling cells in each of a plurality of first time periods; the interference exerting cell is a cell which causes interference to a target cell or target User Equipment (UE); the target UE is any UE accessed to the target cell; the first time period is a time period after the current time.

The processing unit 701 is further configured to determine, for each first duration, an interference cell group in one first duration according to the interference cells in one first duration; the interference cell group includes cells to be subjected to interference coordination among the target cells and the interfering cells.

The processing unit 701 is further configured to predict interference strengths of the target cell in a plurality of first durations.

The processing unit 701 is further configured to take, as a target duration, a duration that satisfies a first preset condition in the plurality of first durations; the first preset condition includes: the interference strength of the target cell within the first time period is greater than a first preset threshold.

A communication unit 702, configured to send an interference coordination message to each first cell; the first cell is any one cell in the interference cell group in the target duration, and the interference coordination message is used for indicating the first cell to execute interference coordination in the target duration.

In one possible implementation, the processing unit 701 is configured to: executing first operation aiming at each first duration to obtain interference intensity of a target cell in a plurality of first durations; the first operation includes: predicting uplink interference intensity in a first duration; predicting the downlink interference intensity in a first duration; the uplink interference intensity of the target cell and the downlink interference intensity of each target UE are weighted and calculated to obtain the interference intensity of the target cell in a first duration; the uplink interference strength is the strength of an interference signal received by the target cell, and the downlink interference strength is the strength of an interference signal received by the target UE.

In one possible implementation manner, the strength of the interference signal received by the target cell refers to the sum of strength values of signals that cause interference to the target cell in a preset unit time period; the strength of the interference signal received by the target UE is the sum of the strength values of the signals causing interference to the target UE in a preset unit time period; the sum of the intensity values of the signals is determined according to interference measurement signals periodically transmitted by cells except the target cell in a preset area according to preset power.

In one possible implementation, the processing unit 701 is configured to: acquiring a first prediction model; the first prediction model is used for predicting uplink interference intensity in a target time period; and inputting the first time length into a first prediction model to obtain the uplink interference intensity in the first time length.

In one possible implementation, the processing unit 701 is configured to: training to obtain a first prediction model according to at least one second duration and uplink interference intensity in at least one second duration; the second time period is a time period before the current time.

In one possible implementation, the processing unit 701 is configured to: acquiring a second prediction model and a third prediction model of each target UE; the second prediction model is used for predicting the downlink interference intensity of the target UE in the target time period; the third prediction model is used for predicting the position information of the target UE in the target time period; respectively inputting the first time length into a third prediction model of each target UE to obtain the position information of each target UE in the first time length; and respectively inputting the first time length and the position information of each target UE in the first time length into a second prediction model to obtain the downlink interference intensity in the first time length corresponding to each target UE.

In one possible implementation, the processing unit 701 is configured to: training to obtain a second prediction model according to at least one second time length, the position information of each target UE in the at least one second time length and the downlink interference intensity corresponding to each target UE in the at least one second time length; the second time length is the time length before the current time; training to obtain a third prediction model according to at least one second time length and position information in at least one second time length aiming at each target UE; the plurality of target UEs are in one-to-one correspondence with the plurality of third predictive models.

In one possible implementation, the processing unit 701 is configured to: determining at least one target UE cluster according to the position information of each target UE in at least one second time period; the target UE cluster comprises a plurality of target UEs; the second time length is the time length before the current time; acquiring a fourth prediction model of each target UE cluster; the fourth prediction model is used for predicting the downlink interference intensity of the target UE cluster in the target time period; and inputting the first time length into a fourth prediction model corresponding to the target UE cluster aiming at each target UE cluster to obtain the downlink interference intensity of a plurality of target UEs included in the target UE cluster in the first time length.

In one possible implementation, the processing unit 701 is configured to: training to obtain a fourth prediction model according to at least one second time length and downlink interference intensity of a plurality of target UE in at least one second time length aiming at each target UE cluster; the plurality of target UE clusters are in one-to-one correspondence with the plurality of fourth predictive models.

In one possible implementation, the processing unit 701 is configured to: clustering the position information of the target UE in the second time length by a clustering algorithm for each second time length to obtain at least one UE cluster in the second time length; the UE cluster includes at least one target UE; matching at least one UE cluster respectively included in any two adjacent second time periods through a matching algorithm to determine at least one target UE cluster; the two adjacent second time periods are continuous two second time periods after at least one second time period is arranged in time sequence.

In one possible implementation, the processing unit 701 is configured to: determining that each target UE cluster in the at least one target UE cluster includes at least one target UE combination satisfying a second preset condition; the target UE combination comprises a first target UE and a corresponding second target UE; the second preset condition includes a ratio of the number of matching durations to the total number of at least one second duration being greater than a second preset threshold; within the matching time length, the distance between the first target UE and the second target UE in the target UE combination is smaller than a third preset threshold value; the first target UE and the second target UE are one of the target UEs.

In one possible implementation, the scrambling cells include at least one of uplink scrambling cells and downlink scrambling cells, where the uplink scrambling cells are cells that cause interference to the target cell, and the downlink scrambling cells are cells that cause interference to the target UE.

In one possible implementation, the processing unit 701 is configured to: for each first duration, under the condition that the scrambling cell comprises an uplink scrambling cell, predicting the uplink scrambling cell in the first duration; and predicting the downlink scrambling cells in the first time periods when the scrambling cells comprise the downlink scrambling cells for each first time period.

In one possible implementation, the processing unit 701 is configured to: obtaining a fifth prediction model; the fifth prediction model is used for predicting an uplink scrambling cell in the target time period; and inputting the first time length into a fifth prediction model to obtain an uplink scrambling cell in the first time length.

In one possible implementation, the processing unit 701 is configured to: training according to at least one second duration and the identification of the uplink scrambling cell in the at least one second duration to obtain a fifth prediction model; the second time period is a time period before the current time.

In one possible implementation, the communication unit 702 is configured to: receiving an uplink scrambling cell message sent by a target cell; the uplink scrambling cell message comprises at least one identifier of an uplink scrambling cell in a second duration; the uplink interference applying cell is a cell in which the average value of signal strengths of interference measurement signals measured by the target cell in at least one second duration is larger than a fourth preset threshold.

In a possible implementation manner, the communication unit 702 is further configured to receive an uplink interference signal message sent by the target cell; the uplink interference signal message comprises the signal intensity of each interference measurement signal measured by the target cell in at least one second duration and the corresponding cell identifier; the processing unit 701 is further configured to use, as the uplink scrambling cell in at least one second duration, a cell in which the average value of signal strengths of the interference measurement signals measured by the target cell in the at least one second duration is greater than a fourth preset threshold.

In one possible implementation, the processing unit 701 is configured to: acquiring a sixth prediction model and a seventh prediction model of each target UE; the sixth prediction model is used for predicting a downlink scrambling cell of the target UE in the target time period; the seventh prediction model is used for predicting the position information of the target UE in the target time period; respectively inputting the first time length into each seventh prediction model to obtain the position information of each target UE in the first time length; and respectively inputting the first time length and the position information of each target UE in the first time length into a sixth prediction model to obtain a downlink scrambling cell corresponding to each target UE in the first time length.

In one possible implementation, the processing unit 701 is configured to: training to obtain a sixth prediction model according to at least one second time length, the position information of each target UE in the at least one second time length and the identification of the downlink scrambling cell corresponding to each target UE in the at least one second time length; the second time length is the time length before the current time; aiming at each target UE, training to obtain a seventh prediction model according to at least one second time length and the position information in the at least one second time length; the plurality of target UEs are in one-to-one correspondence with the plurality of seventh predictive models.

In one possible implementation, the communication unit 702 is configured to: receiving a downlink scrambling cell message sent by a target cell; the downlink scrambling cell message comprises the identification of the downlink scrambling cell in at least one second duration determined by each target UE; the downlink interference application cell is a cell in which the average value of signal strengths of interference measurement signals measured by the target UE in at least one second duration is larger than a fifth preset threshold value.

In a possible implementation manner, the communication unit 702 is further configured to receive a downlink interference signal message sent by the target cell; the downlink interference signal message comprises an identifier of each target UE, signal strength of each interference measurement signal measured in at least one second duration and a corresponding cell identifier; the processing unit 701 is further configured to, for each target UE, use a cell, in which a signal strength average value of each interference measurement signal measured by one target UE in at least one second duration is greater than a fifth preset threshold, as a downlink scrambling cell corresponding to one target UE in at least one second duration.

In one possible implementation, the processing unit 701 is configured to: determining at least one target UE cluster according to the position information of each target UE in at least one second time period; the target UE cluster comprises a plurality of target UEs; the second time length is the time length before the current time; acquiring an eighth prediction model of each target UE cluster; the eighth prediction model is used for predicting a downlink scrambling cell of the target UE cluster in the target time period; and inputting the first time length into an eighth prediction model corresponding to the target UE cluster aiming at each target UE cluster to obtain downlink scrambling cells of a plurality of target UEs included in the target UE cluster in the first time length.

In one possible implementation, the processing unit 701 is configured to: training to obtain an eighth prediction model according to at least one second time length and the identifiers of the downlink scrambling cells of the plurality of target UE in the at least one second time length aiming at each target UE cluster; the plurality of target UE clusters are in one-to-one correspondence with the plurality of eighth predictive models.

In one possible implementation, the processing unit 701 is configured to: taking the uplink scrambling cell as a first scrambling cell under the condition that the scrambling cell comprises the uplink scrambling cell; under the condition that the scrambling cell comprises a downlink scrambling cell, taking a cell meeting a preset interference condition in the downlink scrambling cell as a second scrambling cell; the preset interference conditions include: the ratio of the number of the interfered target UE to the number of the UE accessed into the target cell is larger than or equal to a preset interference threshold value; the method includes determining that the set of interfering cells includes at least one of a first scrambling cell and a second scrambling cell.

In one possible implementation, the communication unit 702 is configured to: sending an interference characteristic parameter request message to a target cell; the interference characteristic parameter request message is used for indicating the target cell to acquire the interference characteristic parameter; the interference characteristic parameter comprises at least one of the following: the uplink interference intensity in at least one second time period, the identification of each target UE in at least one second time period, the corresponding downlink interference intensity, the identification of each target UE in at least one second time period and the corresponding position information; receiving an interference characteristic parameter response message sent by a target cell; the interference characteristic parameter response message includes an interference characteristic parameter.

When implemented in hardware, the communication unit 702 in the embodiments of the present application may be integrated on a communication interface, and the processing unit 701 may be integrated on a processor. A specific implementation is shown in fig. 8.

Fig. 8 shows a further possible structural schematic diagram of the interference coordination device involved in the above-described embodiment. The interference coordination device 80 includes: a processor 802 and a communication interface 803. The processor 802 is configured to control and manage actions of the interference coordination device, e.g., perform the steps performed by the processing unit 701 described above, and/or perform other processes of the techniques described herein. The communication interface 803 is used to support communication of the interference coordination device with other network entities, e.g. to perform the steps performed by the communication unit 702 described above. The interference coordination device may also comprise a memory 801 and a bus 804, the memory 801 being used for storing program codes and data of the interference coordination device.

Wherein the memory 801 may be a memory in an interference coordination device or the like, which may include volatile memory, such as random access memory; the memory may also include non-volatile memory, such as read-only memory, flash memory, hard disk or solid state disk; the memory may also comprise a combination of the above types of memories.

The processor 802 described above may be implemented or executed with various exemplary logic blocks, modules, and circuits described in connection with this disclosure. The processor may be a central processing unit, a general purpose processor, a digital signal processor, an application specific integrated circuit, a field programmable gate array or other programmable logic device, a transistor logic device, a hardware component, or any combination thereof. Which may implement or perform the various exemplary logic blocks, modules and circuits described in connection with this disclosure. The processor may also be a combination that performs the function of a computation, e.g., a combination comprising one or more microprocessors, a combination of a DSP and a microprocessor, etc.

Bus 804 may be an extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus or the like. The bus 804 may be classified as an address bus, a data bus, a control bus, or the like. For ease of illustration, only one thick line is shown in fig. 8, but not only one bus or one type of bus.

The interference coordination means in fig. 8 may also be a chip. The chip includes one or more (including two) processors 802 and a communication interface 803.

In some embodiments, the chip also includes a memory 801, which may include read-only memory and random access memory, and provides operating instructions and data to the processor 802. A portion of the memory 801 may also include non-volatile random access memory (non-volatile random access memory, NVRAM).

In some implementations, the memory 801 stores elements, execution modules or data structures, or a subset thereof, or an extended set thereof.

In the embodiment of the present application, the corresponding operation is performed by calling the operation instruction stored in the memory 801 (the operation instruction may be stored in the operating system).

Wherein the processor 802 may implement or execute the various exemplary logic blocks, elements, and circuits described in connection with the present disclosure. The processor may be a central processing unit, a general purpose processor, a digital signal processor, an application specific integrated circuit, a field programmable gate array or other programmable logic device, a transistor logic device, a hardware component, or any combination thereof. Which may implement or perform the various exemplary logic blocks, units and circuits described in connection with this disclosure. The processor may also be a combination that performs the function of a computation, e.g., a combination comprising one or more microprocessors, a combination of a DSP and a microprocessor, etc.

The memory 801 may include volatile memory, such as random access memory; the memory may also include non-volatile memory, such as read-only memory, flash memory, hard disk or solid state disk; the memory may also comprise a combination of the above types of memories.

Bus 804 may be an extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus or the like. The bus 804 may be classified as an address bus, a data bus, a control bus, or the like. For ease of illustration, only one line is shown in fig. 8, but not only one bus or one type of bus.

From the foregoing description of the embodiments, it will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of functional modules is illustrated, and in practical application, the above-described functional allocation may be implemented by different functional modules according to needs, i.e. the internal structure of the apparatus is divided into different functional modules to implement all or part of the functions described above. The specific working processes of the above-described systems, devices and units may refer to the corresponding processes in the foregoing method embodiments, which are not described herein.

Embodiments of the present application provide a computer program product comprising instructions which, when run on a computer, cause the computer to perform the interference coordination method in the method embodiments described above.

The embodiment of the application also provides a computer readable storage medium, wherein the computer readable storage medium stores instructions, and when the instructions run on a computer, the instructions cause the computer to execute the interference coordination method in the method flow shown in the method embodiment.

The computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a random access Memory (Random Access Memory, RAM), a Read-Only Memory (ROM), an erasable programmable Read-Only Memory (Erasable Programmable Read Only Memory, EPROM), a register, a hard disk, an optical fiber, a portable compact disc Read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing, or any other form of computer readable storage medium known in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an application specific integrated circuit (Application Specific Integrated Circuit, ASIC). In embodiments of the present application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.

Since the interference coordination device, the computer readable storage medium and the computer program product in the embodiments of the present application can be applied to the above-mentioned method, the technical effects that can be obtained by the method can also refer to the above-mentioned method embodiments, and the embodiments of the present application are not described herein again.

In the several embodiments provided by the present application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interface, indirect coupling or communication connection of devices or units, electrical, mechanical, or other form.

The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.

The present application is not limited to the above embodiments, and any changes or substitutions within the technical scope of the present application should be covered by the scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A method of interference coordination, the method comprising:

predicting scrambling cells in each of a plurality of first time durations; the interference exerting cell is a cell which causes interference to a target cell or target User Equipment (UE); the target UE is any UE accessed to the target cell; the first time length is the time length after the current time;

for each first time period, determining an interference cell group in one first time period according to the interference cells in the one first time period; the interference cell group comprises a target cell and cells to be subjected to interference coordination in the interference application cell;

Predicting interference strengths of the target cell within the plurality of first time durations;

taking the time length meeting the first preset condition in the plurality of first time lengths as a target time length; the first preset condition includes: the interference intensity of the target cell in the first duration is greater than a first preset threshold;

transmitting an interference coordination message to each first cell; the first cell is any cell in an interference cell group in the target duration, and the interference coordination message is used for indicating the first cell to execute interference coordination in the target duration;

the predicting the interference strength of the target cell in the plurality of first durations includes:

executing first operation for each first duration to obtain interference intensities of the target cell in the plurality of first durations;

the first operation includes: predicting uplink interference intensity in the first duration; predicting the downlink interference intensity in the first duration; the uplink interference intensity of the target cell and the downlink interference intensity of each target UE are weighted and calculated to obtain the interference intensity of the target cell in a first duration; the uplink interference strength is the strength of an interference signal received by the target cell, and the downlink interference strength is the strength of an interference signal received by the target UE;

The predicting the downlink interference strength in the first duration includes:

acquiring a second prediction model and a third prediction model of each target UE; the second prediction model is used for predicting the downlink interference intensity of the target UE in the target time period; the third prediction model is used for predicting the position information of the target UE in the target time period;

respectively inputting the first time length into a third prediction model of each target UE to obtain the position information of each target UE in the first time length;

and respectively inputting the first time length and the position information of each target UE in the first time length into a second prediction model to obtain the downlink interference intensity in the first time length corresponding to each target UE.

2. The method according to claim 1, wherein the strength of the interference signal received by the target cell refers to a sum of strength values of respective signals that cause interference to the target cell within a preset unit time period; the strength of the interference signal received by the target UE is the sum of strength values of signals causing interference to the target UE in a preset unit time period; and determining the sum of the intensity values of the signals according to interference measurement signals periodically transmitted by cells except the target cell in a preset area according to preset power.

3. The method of claim 1, wherein the predicting the uplink interference strength for the first duration comprises:

acquiring a first prediction model; the first prediction model is used for predicting uplink interference intensity in a target time period;

and inputting the first time length into the first prediction model to obtain the uplink interference intensity in the first time length.

4. A method according to claim 3, characterized in that the method further comprises:

training to obtain a first prediction model according to at least one second duration and the uplink interference intensity in the at least one second duration; the second time period is a time period before the current time.

5. The method according to claim 1, wherein the method further comprises:

training to obtain a second prediction model according to at least one second time length, the position information of each target UE in the at least one second time length and the downlink interference intensity corresponding to each target UE in the at least one second time length; the second time length is the time length before the current time;

training to obtain a third prediction model according to the at least one second duration and the position information in the at least one second duration for each target UE; the target UEs are in one-to-one correspondence with the third prediction models.

6. The method of claim 1, wherein the predicting the downlink interference strength for the first duration comprises:

determining at least one target UE cluster according to the position information of each target UE in at least one second time period; the target UE cluster includes a plurality of the target UEs; the second time length is the time length before the current time;

acquiring a fourth prediction model of each target UE cluster; the fourth prediction model is used for predicting the downlink interference intensity of the target UE cluster in the target time period;

and inputting the first time length into the fourth prediction model corresponding to the target UE cluster aiming at each target UE cluster to obtain the downlink interference intensity of a plurality of target UEs included in the target UE cluster in the first time length.

7. The method of claim 6, wherein the method further comprises:

training to obtain a fourth prediction model according to the at least one second duration and the downlink interference intensities of the plurality of target UEs in the at least one second duration for each target UE cluster; and the plurality of target UE clusters are in one-to-one correspondence with the plurality of fourth prediction models.

8. The method of claim 6, wherein said determining at least one target UE cluster based on location information of each of said target UEs for at least one second time period comprises:

clustering the position information of the target UE in the second time length by a clustering algorithm for each second time length to obtain at least one UE cluster in the second time length; the UE cluster includes at least one of the target UEs;

matching at least one UE cluster respectively included in any two adjacent second time periods through a matching algorithm, and determining the at least one target UE cluster; and the arbitrary two adjacent second time durations are two continuous second time durations after the at least one second time duration is arranged according to the time sequence.

9. The method of claim 6, wherein said determining at least one target UE cluster based on location information of each of said target UEs for at least one second time period comprises:

determining that each of the at least one target UE cluster includes at least one target UE combination satisfying a second preset condition; the target UE combination comprises a first target UE and a corresponding second target UE; the second preset condition includes a ratio of a number of matching durations to a total number of the at least one second duration being greater than a second preset threshold; within the matching time length, the distance between the first target UE and the second target UE in the target UE combination is smaller than a third preset threshold; the first target UE and the second target UE are one of the target UEs.

10. The method of claim 1, wherein the scrambling cells include at least one of an uplink scrambling cell and a downlink scrambling cell, the uplink scrambling cell being a cell that causes interference to the target cell, the downlink scrambling cell being a cell that causes interference to the target UE.

11. The method of claim 10, wherein predicting the offending cell within each of the plurality of first time durations comprises:

for each first duration, predicting the uplink scrambling cell in the first duration when the scrambling cell includes the uplink scrambling cell;

and predicting the downlink scrambling cell in the first time period when the scrambling cell comprises the downlink scrambling cell according to each first time period.

12. The method of claim 11, wherein said predicting the uplink scrambling cell for the first duration comprises:

obtaining a fifth prediction model; the fifth prediction model is used for predicting an uplink scrambling cell in a target time period;

and inputting the first time length into the fifth prediction model to obtain the uplink scrambling cell in the first time length.

13. The method according to claim 12, wherein the method further comprises:

training according to at least one second time length and the identification of the uplink scrambling cell in the at least one second time length to obtain a fifth prediction model; the second time period is a time period before the current time.

14. The method of claim 13, wherein the method further comprises:

receiving an uplink scrambling cell message sent by the target cell; the uplink scrambling cell message comprises the identification of the uplink scrambling cell in the at least one second duration; the uplink interference applying cell is a cell in which the average value of the signal strengths of the interference measurement signals measured by the target cell in the at least one second duration is greater than a fourth preset threshold.

15. The method of claim 13, wherein the method further comprises:

receiving an uplink interference signal message sent by the target cell; the uplink interference signal message comprises signal strength of each interference measurement signal measured by the target cell in the at least one second duration and a corresponding cell identifier;

and taking a cell, of which the average value of the signal intensity of each interference measurement signal measured by the target cell in the at least one second time period is larger than a fourth preset threshold value, as the uplink interference application cell in the at least one second time period.

16. The method of claim 11, wherein said predicting the downlink offending cell for the first duration comprises:

acquiring a sixth prediction model and a seventh prediction model of each target UE; the sixth prediction model is used for predicting a downlink scrambling cell of the target UE in a target time period; the seventh prediction model is used for predicting the position information of the target UE in the target time period;

respectively inputting the first time length into each seventh prediction model to obtain the position information of each target UE in the first time length;

and respectively inputting the first time length and the position information of each target UE in the first time length into the sixth prediction model to obtain the downlink scrambling cell corresponding to each target UE in the first time length.

17. The method of claim 16, wherein the method further comprises:

training to obtain a sixth prediction model according to at least one second time length, the position information of each target UE in the at least one second time length and the identification of the downlink scrambling cell corresponding to each target UE in the at least one second time length; the second time length is the time length before the current time;

Training to obtain a seventh prediction model according to the at least one second duration and the position information in the at least one second duration for each target UE; the plurality of target UEs are in one-to-one correspondence with the plurality of seventh prediction models.

18. The method of claim 17, wherein the method further comprises:

receiving a downlink scrambling cell message sent by the target cell; the downlink scrambling cell message includes an identifier of the downlink scrambling cell within the at least one second duration determined by each target UE; the downlink interference applying cell is a cell in which the average value of signal strengths of interference measurement signals measured by the target UE in the at least one second duration is greater than a fifth preset threshold.

19. The method of claim 17, wherein the method further comprises:

receiving a downlink interference signal message sent by the target cell; the downlink interference signal message comprises an identifier of each target UE, a signal strength of each interference measurement signal measured in the at least one second duration, and a corresponding cell identifier;

and aiming at each target UE, taking a cell, of which the average value of the signal intensity of each interference measurement signal measured by one target UE in the at least one second time period is larger than a fifth preset threshold value, as the downlink interference cell corresponding to the one target UE in the at least one second time period.

20. The method of claim 11, wherein said predicting the downlink offending cell for the first duration comprises:

acquiring an eighth prediction model of each target UE cluster; the eighth prediction model is used for predicting a downlink scrambling cell of the target UE cluster in a target time period;

and inputting the first time length into the eighth prediction model corresponding to the target UE cluster aiming at each target UE cluster to obtain downlink scrambling cells of a plurality of target UEs included in the target UE cluster in the first time length.

21. The method of claim 20, wherein the method further comprises:

training to obtain an eighth prediction model according to the at least one second duration and the identifiers of the downlink scrambling cells of the plurality of target UEs in the at least one second duration for each target UE cluster; and the plurality of target UE clusters are in one-to-one correspondence with the plurality of eighth prediction models.

22. The method of claim 10, wherein the determining the set of interfering cells within a first time period from the interfering cells within the first time period comprises:

taking the uplink scrambling cell as a first scrambling cell when the scrambling cell comprises the uplink scrambling cell;

taking a cell meeting a preset interference condition in the downlink scrambling cell as a second scrambling cell under the condition that the scrambling cell comprises the downlink scrambling cell; the preset interference condition includes: the ratio of the number of the interfered target UE to the number of the UE accessed to the target cell is greater than or equal to a preset interference threshold;

determining that the set of interfering cells includes at least one of the first and second interfering cells.

23. The method according to any of claims 1-22, wherein prior to said predicting the interference strength of the target cell for the plurality of first time periods, the method further comprises:

sending an interference characteristic parameter request message to a target cell; the interference characteristic parameter request message is used for indicating a target cell to acquire an interference characteristic parameter; the interference characteristic parameter comprises at least one of the following: the uplink interference intensity in the at least one second duration, the identification of each target UE in the at least one second duration and the corresponding downlink interference intensity, and the identification of each target UE in the at least one second duration and the corresponding position information;

Receiving an interference characteristic parameter response message sent by a target cell; the interference characteristic parameter response message includes the interference characteristic parameter.

24. An interference coordination device is characterized by comprising a communication unit and a processing unit;

the processing unit is used for predicting scrambling cells in each first duration in a plurality of first durations; the interference exerting cell is a cell which causes interference to a target cell or target User Equipment (UE); the target UE is any UE accessed to the target cell; the first time length is the time length after the current time;

the processing unit is further configured to determine, for each of the first time periods, an interference cell group in one of the first time periods according to the interference cells in the one of the first time periods; the interference cell group comprises a target cell and cells to be subjected to interference coordination in the interference application cell;

the processing unit is further configured to predict interference intensities of the target cell in the plurality of first durations;

the processing unit is further configured to use, as a target duration, a duration that satisfies a first preset condition in the plurality of first durations; the first preset condition includes: the interference intensity of the target cell in the first duration is greater than a first preset threshold;

The communication unit is used for sending an interference coordination message to each first cell; the first cell is any cell in an interference cell group in the target duration, and the interference coordination message is used for indicating the first cell to execute interference coordination in the target duration;

the processing unit is used for:

25. The apparatus of claim 24, wherein the strength of the interference signal received by the target cell is a sum of strength values of respective signals that cause interference to the target cell within a preset unit time period; the strength of the interference signal received by the target UE is the sum of strength values of signals causing interference to the target UE in a preset unit time period; and determining the sum of the intensity values of the signals according to interference measurement signals periodically transmitted by cells except the target cell in a preset area according to preset power.

26. The apparatus of claim 24, wherein the processing unit is configured to:

27. The apparatus of claim 26, wherein the processing unit is configured to:

28. The apparatus of claim 24, wherein the processing unit is configured to:

29. The apparatus of claim 24, wherein the processing unit is configured to:

30. The apparatus of claim 29, wherein the processing unit is configured to:

31. The apparatus of claim 29, wherein the processing unit is configured to:

32. The apparatus of claim 29, wherein the processing unit is configured to:

33. The apparatus of claim 24, wherein the scrambling cells comprise at least one of an uplink scrambling cell and a downlink scrambling cell, the uplink scrambling cell being a cell that causes interference to the target cell, the downlink scrambling cell being a cell that causes interference to the target UE.

34. The apparatus of claim 33, wherein the processing unit is configured to:

35. The apparatus of claim 34, wherein the processing unit is configured to:

36. The apparatus of claim 35, wherein the processing unit is configured to:

37. The apparatus of claim 36, wherein the communication unit is configured to:

38. The apparatus of claim 36, wherein the communication unit is further configured to receive an uplink interference signal message sent by the target cell; the uplink interference signal message comprises signal strength of each interference measurement signal measured by the target cell in the at least one second duration and a corresponding cell identifier;

the processing unit is further configured to use, as the uplink scrambling cell in the at least one second duration, a cell in which a signal intensity average value of each interference measurement signal measured by the target cell in the at least one second duration is greater than a fourth preset threshold.

39. The apparatus of claim 34, wherein the processing unit is configured to:

40. The apparatus of claim 39, wherein the processing unit is configured to:

41. The apparatus of claim 40, wherein the communication unit is configured to:

42. The apparatus of claim 40, wherein the communication unit is further configured to receive a downlink interfering signal message sent by the target cell; the downlink interference signal message comprises an identifier of each target UE, a signal strength of each interference measurement signal measured in the at least one second duration, and a corresponding cell identifier;

the processing unit is further configured to, for each target UE, use, as the downlink scrambling cell corresponding to the one target UE in the at least one second duration, a cell in which a signal strength average value of each interference measurement signal measured by the one target UE in the at least one second duration is greater than a fifth preset threshold.

43. The apparatus of claim 34, wherein the processing unit is configured to:

44. The apparatus of claim 43, wherein the processing unit is configured to:

45. The apparatus of claim 34, wherein the processing unit is configured to:

46. The apparatus of any one of claims 24-45, wherein the communication unit is configured to:

47. An interference coordination device, comprising: a processor and a communication interface; the communication interface being coupled to the processor for executing a computer program or instructions to implement the interference coordination method as claimed in any of the claims 1-23.

48. A computer readable storage medium having instructions stored therein which, when executed by a computer, perform the interference coordination method of any of the preceding claims 1-23.