An interference optimization method, apparatus, electronic device, and computer program product

Abstract

The present disclosure relates to the technical field of wireless communication, and particularly provides an interference optimization method and device, electronic equipment and computer program product. The method comprises: determining an optimization target, wherein the optimization target comprises: a disturbing base station and / or a first to-be-optimized area; performing interference optimization on the optimization target based on a preset interference optimization strategy, to obtain optimized interference data and / or a second to-be-optimized area; and in a case where the optimized interference data is less than a first threshold, determining whether to perform parameter rollback or continue interference optimization based on the second to-be-optimized area and a second threshold. The present disclosure verifies whether the interference source is eliminated, effectively avoids the case that interference occurs again after parameter rollback and interference optimization needs to be frequently and repeatedly performed. Meanwhile, through minimum granularity monitoring, parameter rollback can be performed at the first time when the interference source is eliminated, network loss is recovered, and the requirement of high timeliness for the interference problem is met.

Description

Technical Field

[0001] This disclosure relates to the field of wireless communication technology, and in particular to an interference optimization method, apparatus, electronic device, and computer program product. Background Technology

[0002] Atmospheric ducting phenomena can cause long-range electromagnetic interference in time-division systems, severely impacting network performance. In Time Division Duplex (TDD) networks, uplink and downlink transmissions use the same frequency. When atmospheric ducting occurs, radio signals can propagate over long distances with propagation delays exceeding the protection period. In this situation, the downlink signal from the interfering base station can travel a considerable distance, interfering with the uplink signal from the affected base station, which is tens or even hundreds of kilometers away.

[0003] Existing domestic and international research mainly focuses on methods for locating and avoiding interference between the interfering and affected base stations, as well as backoff operations for adjusting the parameters of the interfering base station using the reference signal RS-2. However, it overlooks the fact that while backoff operations can mitigate network losses, they may also cause further interference from the interfering base station and the affected cell, requiring further adjustments. Such frequent and repeated adjustments can seriously impact network stability.

[0004] Meanwhile, the backoff command of traditional atmospheric duct interference base stations mainly originates from timer timing and / or receiving backoff signals. Among them, timer timing is a fixed scheme, and the effect of adjustment is unknown, which is not conducive to network stability; receiving backoff signals is time-consuming because it requires waiting for signal commands and parsing signal commands. The scheme of using two RS signals requires waiting for the transmission time slots of the two signals to be completed, resulting in a large delay, which cannot meet the high timeliness requirements of atmospheric duct interference problems. Summary of the Invention

[0005] This disclosure is made in view of the above-mentioned problems. This disclosure provides an interference optimization method, apparatus, electronic device, and computer program product.

[0006] According to a first aspect of this disclosure, an interference optimization method is provided, the method comprising: determining an optimization target, wherein the optimization target includes: an interfering base station and / or a first region to be optimized; performing interference optimization on the optimization target based on a preset interference optimization strategy to obtain optimized interference data and / or a second region to be optimized; and, if the optimized interference data is less than a first threshold, determining whether to backtrack or continue interference optimization based on the second region to be optimized and the second threshold.

[0007] Furthermore, according to one aspect of the interference optimization method of this disclosure, wherein determining the optimization target includes: the interfering base station and / or the first area to be optimized includes: determining the interfering base station based on interference data and a first threshold; and determining the first area to be optimized based on the interference data and / or the interfering cell corresponding to the interfering base station.

[0008] Furthermore, according to one aspect of the interference optimization method of this disclosure, the interference data includes at least one or more of the following: interference frequency, average uplink interference baseline of sector, downlink interference power of base station, number of detections, power, cell call completion rate, call drop rate, handover success rate, and reference signal RS feature sequence information.

[0009] Furthermore, according to one aspect of the interference optimization method of this disclosure, the preset interference optimization strategy includes: when the optimization target is the interfering base station, adjusting the step size based on the network standard of the first area to be optimized; or when the optimization target is the first area to be optimized, enhancing the anti-interference capability of the first area to be optimized and / or migrating the terminal.

[0010] Furthermore, according to one aspect of the interference optimization method disclosed herein, when the optimization target is an interfering base station, adjusting the step size based on the network standard of the first region to be optimized includes: when the network standard of the first region to be optimized is a first standard, determining the step size adjustment strategy based on a preset time slot ratio, power value, and a turn-off subcarrier signal; and when the network standard of the first region to be optimized is a second standard, determining the step size adjustment strategy based on a preset power value, electronic downtilt angle, and a turn-off subcarrier signal.

[0011] Furthermore, according to one aspect of the interference optimization method of this disclosure, the second threshold includes: the number of disturbed cells in the absence of atmospheric duct interference.

[0012] Furthermore, according to one aspect of the interference optimization method of this disclosure, determining whether to roll back or continue interference optimization based on a second region to be optimized and a second threshold includes: instructing the optimization target parameter to roll back when the number of the second region to be optimized is less than the second threshold; and instructing the optimization target to continue interference optimization when the number of the second region to be optimized is greater than or equal to the second threshold.

[0013] According to a second aspect of this disclosure, an interference optimization apparatus is provided, comprising: a determining module for determining an optimization target, wherein the optimization target includes: an interfering base station and / or a first area to be optimized; an optimization module for performing interference optimization on the optimization target based on a preset interference optimization strategy, and obtaining optimized interference data and / or a second area to be optimized; and a verification module for determining whether to back down or continue interference optimization based on the second area to be optimized and the second threshold when the optimized interference data is less than a first threshold.

[0014] According to a third aspect of this disclosure, an electronic device is provided, comprising: a memory for storing computer-readable instructions; and a processor for executing the computer-readable instructions, causing the electronic device to perform the interference optimization method as described above.

[0015] According to a fourth aspect of this disclosure, a computer program product is provided, including a computer program, wherein when the computer program is executed by a processor, it implements the interference optimization method as described above.

[0016] As will be described in detail below, the interference optimization method according to embodiments of this disclosure effectively avoids the recurrence of interference after parameter rollback by verifying whether the interference source has been eliminated, thus avoiding the need for frequent and repeated interference optimization. Simultaneously, through monitoring at the smallest granularity, parameter rollback can be performed immediately after the interference source is eliminated, mitigating network losses and meeting the high timeliness requirements of interference problems.

[0017] It should be understood that both the foregoing general description and the following detailed description are exemplary and intended to provide further illustration of the claimed technology. Attached Figure Description

[0018] The above and other objects, features, and advantages of this disclosure will become more apparent from the more detailed description of the embodiments thereof in conjunction with the accompanying drawings. The drawings are provided to further illustrate the embodiments of this disclosure and form part of the specification. They are used together with the embodiments of this disclosure to explain the disclosure and do not constitute a limitation thereof. In the drawings, the same reference numerals generally represent the same components or steps.

[0019] Figure 1 This diagram illustrates a scenario where atmospheric waveguides, based on existing technology, cause co-channel interference.

[0020] Figure 2 This is a schematic diagram of the RIM Framework-1 based on existing technology.

[0021] Figure 3 This is a flowchart illustrating an interference optimization method according to an embodiment of the present disclosure.

[0022] Figure 4 This is a schematic diagram of an interference optimization apparatus according to an embodiment of the present disclosure.

[0023] Figure 5 This is a hardware block diagram illustrating an electronic device according to an embodiment of the present disclosure.

[0024] Figure 6 This is a schematic diagram illustrating a computer program product according to an embodiment of the present disclosure. Detailed Implementation

[0025] To make the objectives, technical solutions, and advantages of this disclosure more apparent, exemplary embodiments according to this disclosure will now be described in detail with reference to the accompanying drawings. Obviously, the described embodiments are merely some embodiments of this disclosure, and not all embodiments of this disclosure. It should be understood that this disclosure is not limited to the exemplary embodiments described herein.

[0026] First, refer to Figure 1 Overview of application scenarios according to embodiments of this disclosure.

[0027] Figure 1 This diagram illustrates a scenario where atmospheric waveguides, based on existing technology, cause co-channel interference. Figure 1 As shown in (A), atmospheric waveguides refer to an anomalous atmospheric structure, primarily caused by atmospheric inversion (temperature increases with altitude) and humidity inversion (water vapor density decreases rapidly with altitude). When atmospheric waveguides occur, electromagnetic waves propagating in the near-surface layer are affected by atmospheric refraction, causing their propagation trajectory to bend towards the ground. When the curvature exceeds the curvature of the Earth's surface, the electromagnetic waves bend towards the ground and continue propagating after being reflected by the ground. This process repeats multiple times, causing them to propagate forward in a circuitous manner between the ground and a certain atmospheric layer. Because this situation is similar to the propagation of microwaves in a waveguide, it is called atmospheric waveguide propagation.

[0028] The presence of atmospheric waveguides can interfere with the propagation path and range of electromagnetic waves, thereby affecting communication systems and causing issues such as signals propagating over extremely long distances and unstable mobile phone signals.

[0029] Network equipment can be understood as a base station. A base station is an important component of a wireless communication system. It can be a base station (BTS) in a Global System for Mobile Communications (GSM) or Code Division Multiple Access (CDMA) communication system, a base station (nodeB, NB) in a Wideband Code Division Multiple Access (WCDMA) communication system, an evolved Node B (eNB or eNodeB) in a Long Term Evolution (LTE) communication system, a next-generation evolved Node B (ng-eNB) in a New Radio (NR) communication system, a next-generation node B (gNB) in a NR communication system, or a base station in a future communication system, or other equipment in the core network (CN). This disclosure does not impose specific limitations. Similarly, for ease of description, this disclosure uses a 5G base station as an example, which is merely illustrative and does not constitute a limitation.

[0030] like Figure 1 As shown in (B), in my country's Time Division Duplex (TDD) system, a co-frequency uplink and downlink transmission scheme is adopted. Interference between uplink and downlink signals between base stations is avoided through uplink and downlink time slot guard periods (GP). Because signal loss is very low within the atmospheric waveguide layer, even after the GP guard distance, the downlink signal from the distant base station still possesses strong power. Simultaneously, the increased transmission distance leads to increased propagation delay, causing the strong downlink signal from the distant base station to fall into the uplink subframe of the near-end base station. This raises the noise floor of the near-end base station, resulting in the useful signal being overwhelmed. In this situation, the downlink signal of the interfering base station can propagate a long distance, interfering with the uplink signal of the interfered base station tens or even hundreds of kilometers away.

[0031] In existing technologies, the aforementioned interference is typically identified and mitigation measures are triggered using Remote Interference Management-Resource Specific (RIM-RS). See below for further details. Figure 2 Provide a detailed description.

[0032] Figure 2 This is a schematic diagram of the RIM Framework-1 based on existing technology. For example... Figure 2 As shown, the RIMFramework-1 framework includes both the harassing base station and the harassed base station, and the specific principles are as follows.

[0033] In the event of atmospheric waveguide interference, there is an interference path between the interfering base station and the affected base station.

[0034] (1) After detecting that its received signal has characteristics such as increased noise floor and ramp, the disturbed base station starts monitoring the RS signal and sends the RS-1 signal to the disturbing base station. Then the disturbing base station starts monitoring the RS signal according to the information from the central control station.

[0035] (2) When the harassing base station detects the RS-1 signal, it activates the adaptive interference mitigation adjustment measures and sends the RS-2 signal to the harassed base station.

[0036] (3) If the disturbed base station can receive the RS-2 signal, it means that the disturbed base station is still being interfered with by the disturbing base station. At this time, the disturbed base station will continue to send the RS-1 signal to the disturbing base station. If the disturbed base station does not receive the RS-2 signal again within the limited period and the noise floor recovers, it means that the atmospheric waveguide path has disappeared. At this time, the disturbed base station will stop sending the RS-1 signal.

[0037] (4) If the interfering base station continues to receive RS-1 signals, continue mitigation measures; if no RS-1 signals are received, start parameter rollback and restore the original configuration.

[0038] As mentioned above, the scheme using both RS-1 and RS-2 signals requires waiting for the transmission time slots of both signals to complete, resulting in significant delays and failing to meet the high timeliness requirements for atmospheric duct interference problems. This disclosure innovatively proposes a monitoring method for the fading of atmospheric duct interference paths, implementing monitoring at the smallest granularity. This allows for parameter backoff at the first moment of atmospheric duct fading, mitigating network losses and thus meeting the high timeliness requirements for atmospheric duct interference problems.

[0039] The interference optimization method proposed in this disclosure optimizes atmospheric interference problems from three aspects:

[0040] 1. Reduce the interference intensity of the interfering base station to minimize its impact;

[0041] 2. Enhance the anti-interference capabilities of affected cells or relocate affected users to reduce user perception;

[0042] 3. Verify whether atmospheric waveguide interference has been eliminated and determine the timing of parameter rollback to avoid frequent cycles of optimization-rollback-optimization-rollback. Specific interference optimization methods will be discussed in [link to relevant documentation]. Figure 3 A further detailed description will follow.

[0043] Figure 3 This is a flowchart illustrating an interference optimization method according to an embodiment of the present disclosure. Figure 3 As shown, the interference optimization method may include at least the following steps.

[0044] In step S301, the optimization target is determined, which includes: the interfering base station and / or the first area to be optimized. As mentioned above, the interfering base station can interfere with the affected base station tens or even hundreds of kilometers away. The cell covered by the affected base station can be called the affected cell, and a cell can include one or more sectors. In order to perform interference optimization more accurately in the future, this step aims to screen out the top interfering base stations and affected sectors with strong interference intensity (i.e., the first area to be optimized).

[0045] In one embodiment of this disclosure, when the optimization target is a harassing base station, the method for determining the optimization target may include: obtaining the reference signal (RS) feature sequence information received by all base stations from other base stations based on 15-minute granularity RIM information; detecting and analyzing the RS feature sequence information; summarizing and calculating information including interference frequency, average uplink interference baseline of sectors, downlink interference power of base stations, number of detections, power, etc.; and selecting base stations that meet the TOP harassing base station threshold (i.e., the first threshold) as optimization targets.

[0046] In another embodiment of this disclosure, when the optimization target is a first region to be optimized, the method for determining the optimization target may include: obtaining RS characteristic sequence information received by all base stations from other base stations based on 15-minute granularity RIM information; when noise floor rise and ramp characteristics are detected in the disturbed base station, tracking the RS-2 information it receives, and measuring the interference power of the disturbed base station within a specified time period to determine the disturbed cell. Then, using the frequency band, azimuth, direction angle, latitude and longitude information provided by the disturbed cell, the communication path with the aforementioned TOP disturbing base station can be determined, and the interference area range (i.e., the disturbed sector) can be selected as the optimization target.

[0047] In another embodiment of this disclosure, when the optimization target is the first area to be optimized, the method for determining the optimization target may further include: selecting cells (i.e. disturbed sectors) that are more severely interfered with as optimization targets based on key indicators such as cell call completion rate, call drop rate, and handover success rate.

[0048] In step S302, based on a preset interference optimization strategy, interference optimization is performed on the optimization target to obtain optimized interference data and / or a second area to be optimized. As mentioned above, the optimization target includes: the interfering base station and / or the first area to be optimized. The preset interference optimization strategies for these two are different: when the optimization target is the interfering base station, the step size is adjusted based on the network standard of the first area to be optimized; or when the optimization target is the first area to be optimized, the anti-interference capability of the first area to be optimized is enhanced and / or terminal migration is performed.

[0049] Specifically, when the optimization target is the interfering base station, and the network standard of the first area to be optimized is a first standard, such as a 4G network, then a step-by-step adjustment strategy with a corresponding step size is determined based on a preset time slot ratio, power value, and switchable subcarrier signal; when the network standard of the first area to be optimized is a second standard, such as a 5G network, then a step-by-step adjustment strategy with a corresponding step size can be determined based on a preset power value, electronic downtilt angle, and switchable subcarrier signal.

[0050] The preset data can be derived from a whitelist. Cells on the whitelist are optimizable, while cells not on the whitelist cannot be optimized and are not within the scope of this optimization disclosure. When an interference optimization command is issued, the current transmit power and tilt angle range can be determined through the whitelist. This allows for control over the adjustment range to meet different adjustment needs in different areas, and also provides an adjustment margin for the cells to prevent exceeding the adjustable range.

[0051] Then, based on the above-mentioned preset interference optimization strategy, interference optimization is performed on the interfering base station and / or the first area to be optimized. Through continuous monitoring (e.g., 15-minute granularity), it is determined whether the TOP interfering base station still meets the TOP interfering base station threshold after interference optimization, that is, whether the interference optimization is effective for it and whether it has reduced its interference intensity; or whether the main indicators of the affected sector still need to be migrated to the terminal, that is, whether the interference has been alleviated.

[0052] If the top interfering base station after interference optimization still meets the top interfering base station threshold, further parameter optimization is carried out according to the step size strategy, and monitoring continues until it no longer meets the top interfering base station threshold or the top interfering base station has no optimization margin. If the top interfering base station has no margin, it is accumulated and recorded. For the top interfering base station that exceeds a certain threshold for a long period of time, more stringent optimization measures will be taken, such as frequency band adjustment or base station shutdown. If the top interfering base station after interference optimization no longer meets the top interfering base station threshold, that is, its interference intensity has been reduced to a reasonable level, then step S303 is executed.

[0053] Similarly, if the main indicators of the affected sector after interference optimization still cannot support normal use by users within its coverage area, then the uplink anti-interference capability will be further enhanced, or further optimization strategies will be formulated. These strategies may include: reducing the transmission power of TDD cells, increasing the minimum access threshold for TDD cells, and increasing the cell individual offset (CIO) between TDD cells and co-coverage frequency division duplex (FDD) cells to mitigate interference. The affected edge terminals will be migrated using these strategies to reduce the impact of interference on user perception. Migrating the terminal refers to moving it to an FDD cell sharing the same frequency as the affected sector. If the main indicators of the affected sector after interference optimization have returned to normal levels, meaning the interference has been mitigated, then step S303 will be executed.

[0054] In step S303, if the optimized interference data is less than the first threshold, based on the second region to be optimized and the second threshold, it is determined whether to back down the optimization target parameters or continue interference optimization. As mentioned above, the prior art ignores the possibility that parameter back-down may cause further interference to the interfering base station and the affected cell, resulting in frequent back-and-forth interference optimization (optimization-back-down-optimization-back-down), which can seriously affect network stability. Therefore, this step aims to avoid the problem of frequent back-and-forth interference optimization in the prior art by monitoring whether atmospheric ducting interference has been eliminated.

[0055] Specifically, in step S302, after determining that the interference intensity of the TOP disrupting base station has decreased to a certain level (e.g., the first threshold) or the main indicators of the disrupted sector have recovered to a certain level (e.g., the first threshold), parameter rollback should not be performed directly. Instead, the atmospheric duct interference phenomenon should be verified first. If the atmospheric duct interference phenomenon has not been eliminated, it means that the TOP disrupting base station and / or the disrupted sector cannot be rolled back at this time and interference optimization needs to continue to avoid the frequent back-and-forth situation in the prior art. If the atmospheric duct interference phenomenon has been eliminated, then if the TOP disrupting base station and / or the disrupted sector continue interference optimization at this time, it will cause waste of resources and network loss. Therefore, parameter rollback should begin at this time.

[0056] The standard for verifying whether atmospheric waveguide interference has been eliminated (i.e., the second threshold) can be determined by referring to historical data.

[0057] In one embodiment of this disclosure, since atmospheric ducting interference causes a large number of affected cells, meaning the number of affected cells surges, the number of affected cells during multiple past periods without atmospheric ducting interference can be used as a criterion to verify whether the atmospheric ducting interference has been eliminated. For example, the second threshold can be represented by Y = M + N, where Y is the threshold for eliminating atmospheric ducting interference, M is the mean of affected cells during multiple periods without atmospheric ducting interference, and N is the standard deviation derived from the dataset.

[0058] Figure 4 This is a schematic diagram of an interference optimization apparatus according to an embodiment of the present disclosure. Figure 4 As shown, the interference optimization device 400 may include at least the following modules.

[0059] The determination module 401 is used to determine the optimization target, wherein the optimization target includes: the interfering base station and / or the first area to be optimized.

[0060] The optimization module 402 is used to perform interference optimization on the optimization target based on a preset interference optimization strategy, and to obtain the optimized interference data and / or the second region to be optimized.

[0061] The verification module 403 is used to determine whether to roll back or continue interference optimization based on the second region to be optimized and the second threshold when the optimized interference data is less than the first threshold.

[0062] The determining module 401 may further include:

[0063] The base station determination unit 4011 is used to determine the interfering base station based on the interference data and the first threshold.

[0064] The sector determination unit 4012 is used to determine the first area to be optimized based on interference data and / or the disturbed cell corresponding to the interfering base station.

[0065] Optimization module 402 may further include:

[0066] The base station optimization unit 4021 is used to optimize the interference of the interfering base station based on a preset interference optimization strategy, and to obtain optimized interference data and / or a second area to be optimized. The preset interference optimization strategy includes adjusting the step size based on the network standard of the first area to be optimized.

[0067] Furthermore, the network standard can be at least divided into 4G and 5G: when the network standard of the first area to be optimized is the first standard, the preset interference optimization strategy may include: determining the step size adjustment strategy based on the preset time slot ratio, power value, and turn-off subcarrier signal; when the network standard of the first area to be optimized is the second standard, the preset interference optimization strategy may include: determining the step size adjustment strategy based on the preset power value, electronic downtilt angle, and turn-off subcarrier signal.

[0068] The sector optimization unit 4022 is used to optimize the first region to be optimized based on a preset interference optimization strategy, and to obtain optimized interference data and / or a second region to be optimized. The preset interference optimization strategy includes: enhancing the anti-interference capability of the first region to be optimized and / or performing terminal migration.

[0069] Verification module 403 may further include:

[0070] The base station verification unit 4031 is used to instruct the parameters of the interfering base station to fall back when the number of the second areas to be optimized is less than the second threshold; and to instruct the interfering base station to continue interference optimization when the number of the second areas to be optimized is greater than or equal to the second threshold.

[0071] The sector verification unit 4033 is used to instruct the parameters of the first region to be optimized to roll back when the number of the second region to be optimized is less than the second threshold; and to instruct the first region to be optimized to continue interference optimization when the number of the second region to be optimized is greater than or equal to the second threshold.

[0072] The second threshold includes the number of disturbed cells in the absence of atmospheric duct interference.

[0073] Figure 5 This is a hardware block diagram of an electronic device according to an embodiment of the present disclosure. The electronic device according to an embodiment of the present disclosure includes at least a processor and a memory for storing computer-readable instructions. When the computer-readable instructions are loaded and executed by the processor, the processor performs the interference optimization method as described above.

[0074] Figure 5 The illustrated electronic device 500 specifically includes a central processing unit (CPU) 501, a graphics processing unit (GPU) 502, and a memory 503. These units are interconnected via a bus 504. The CPU 501 and / or GPU 502 can function as the aforementioned processor, and the memory 503 can function as the aforementioned memory storing computer-readable instructions. Furthermore, the electronic device 500 may also include a communication unit 505, a storage unit 506, an output unit 507, an input unit 508, and an external device 509, all of which are also connected to the bus 504.

[0075] Figure 6 This is a schematic diagram illustrating a computer program product according to an embodiment of the present disclosure. Figure 6 As shown, a computer program product 600 according to an embodiment of this disclosure stores a computer program 601. When the computer program 601 is executed by a processor, it performs the interference optimization method described with reference to the above figures. The computer program product includes, but is not limited to, volatile memory and / or non-volatile memory. The volatile memory may include, for example, random access memory (RAM) and / or cache memory. The non-volatile memory may include, for example, read-only memory (ROM), hard disk, flash memory, optical disk, magnetic disk, etc.

[0076] The interference optimization method, apparatus, electronic device, and computer program product according to embodiments of the present disclosure have been described above with reference to the accompanying drawings. According to the interference optimization method of the present disclosure, by verifying whether the interference source has been eliminated, the present disclosure effectively avoids the recurrence of interference after parameter rollback, thus preventing the need for frequent and repeated interference optimization. Simultaneously, through monitoring at the smallest granularity, parameter rollback can be performed immediately after the interference source is eliminated, mitigating network losses and meeting the high timeliness requirements for interference problems.

[0077] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this disclosure.

[0078] The basic principles of this disclosure have been described above with reference to specific embodiments. However, it should be noted that the advantages, benefits, and effects mentioned in this disclosure are merely examples and not limitations, and should not be considered as essential features of each embodiment of this disclosure. Furthermore, the specific details disclosed above are for illustrative and facilitative purposes only, and are not limitations. These details do not limit the scope of this disclosure to the necessity of employing the aforementioned specific details for implementation.

[0079] The block diagrams of devices, apparatuses, devices, and systems disclosed herein are merely illustrative examples and are not intended to require or imply that they must be connected, arranged, or configured in the manner shown in the block diagrams. As those skilled in the art will recognize, these devices, apparatuses, devices, and systems can be connected, arranged, and configured in any manner. Words such as “comprising,” “including,” “having,” etc., are open-ended terms meaning “including but not limited to,” and are used interchangeably with them. The terms “or” and “and” as used herein refer to the terms “and / or,” and are used interchangeably with them unless the context clearly indicates otherwise. The term “such as” as used herein refers to the phrase “such as but not limited to,” and is used interchangeably with it.

[0080] Additionally, as used herein, the “or” used in a list of items beginning with “at least one” indicates a separate list, such that a list of, for example, “at least one of A, B, or C” means A or B or C, or AB or AC or BC, or ABC (i.e., A and B and C). Furthermore, the word “exemplary” does not imply that the described example is preferred or better than other examples.

[0081] It should also be noted that in the systems and methods of this disclosure, the components or steps can be decomposed and / or recombined. These decompositions and / or recombinations should be considered as equivalent solutions to this disclosure.

[0082] Various changes, substitutions, and modifications can be made to the technology described herein without departing from the teachings defined by the appended claims. Furthermore, the scope of the claims of this disclosure is not limited to the specific aspects of the processes, machines, manufactures, events, means, methods, and actions described above. Currently existing or later-developed processes, machines, manufactures, events, means, methods, or actions that perform substantially the same function or achieve substantially the same result as the corresponding aspects described herein can be utilized. Therefore, the appended claims include such processes, machines, manufactures, events, means, methods, or actions within their scope.

[0083] The above description of the disclosed aspects is provided to enable any person skilled in the art to make or use this disclosure. Various modifications to these aspects will be readily apparent to those skilled in the art, and the general principles defined herein may be applied to other aspects without departing from the scope of this disclosure. Therefore, this disclosure is not intended to be limited to the aspects shown herein, but rather to be carried out within the widest scope consistent with the principles and novel features disclosed herein.

[0084] The above description has been given for purposes of illustration and description. Furthermore, this description is not intended to limit the embodiments of this disclosure to the forms disclosed herein. Although numerous exemplary aspects and embodiments have been discussed above, those skilled in the art will recognize certain variations, modifications, alterations, additions, and sub-combinations therein.

Claims

1. An interference optimization method, characterized in that, The method includes: Determine the optimization objective, wherein the optimization objective includes: the interfering base station and / or the first area to be optimized; Based on a preset interference optimization strategy, interference optimization is performed on the optimization target to obtain optimized interference data and / or a second region to be optimized. Wherein, when the optimization target is the first region to be optimized, the preset interference optimization strategy includes: enhancing the anti-interference capability of the first region to be optimized and / or performing terminal migration. If the optimized interference data is less than the first threshold, the optimization target parameter is determined to either revert to the previous state or continue the interference optimization based on the number of the second region to be optimized and the second threshold.

2. The interference optimization method as described in claim 1, characterized in that, The step of determining the optimization objective includes: the interfering base station and / or the first area to be optimized includes: The interfering base station is determined based on the interference data and the first threshold. Based on the interference data and / or the disturbed cell corresponding to the interfering base station, the first area to be optimized is determined.

3. The interference optimization method as described in claim 2, characterized in that, The interference data includes at least one or more of the following: Interference frequency, sector uplink interference baseline mean, base station downlink interference power, number of detections, power, cell call completion rate, call drop rate, handover success rate, and reference signal RS characteristic sequence information.

4. The interference optimization method as described in claim 1, characterized in that, The preset interference optimization strategy also includes: When the optimization target is the interfering base station, the step size is adjusted based on the network standard of the first region to be optimized.

5. The interference optimization method as described in claim 4, characterized in that, When the optimization target is the interfering base station, adjusting the step size based on the network standard of the first area to be optimized includes: When the network standard of the first region to be optimized is the first standard, a step size adjustment strategy is determined based on the preset time slot ratio, power value, and turn-off subcarrier signal. When the network standard of the first region to be optimized is the second standard, a step size adjustment strategy is determined based on the preset power value, electronic downtilt angle, and turn-off subcarrier signal.

6. The interference optimization method as described in claim 1, characterized in that, The second threshold includes: The number of affected cells in the absence of atmospheric waveguide interference.

7. The interference optimization method as described in claim 1, characterized in that, The step of determining whether to roll back or continue the interference optimization based on the number of the second region to be optimized and the second threshold includes: If the number of the second region to be optimized is less than the second threshold, the optimization target parameter is instructed to revert. If the number of the second region to be optimized is greater than or equal to the second threshold, the optimization target is instructed to continue the interference optimization.

8. An interference optimization device, characterized in that, The device includes: A determination module is used to determine the optimization target, wherein the optimization target includes: the interfering base station and / or the first area to be optimized; An optimization module is used to perform interference optimization on the optimization target based on a preset interference optimization strategy, and obtain optimized interference data and / or a second region to be optimized. Wherein, when the optimization target is the first region to be optimized, the preset interference optimization strategy includes: enhancing the anti-interference capability of the first region to be optimized and / or performing terminal migration. The verification module is used to determine whether to roll back or continue the interference optimization based on the number of the second region to be optimized and the second threshold when the optimized interference data is less than the first threshold.

9. An electronic device, characterized in that, include: Memory, used to store computer-readable instructions; as well as A processor for executing the computer-readable instructions, causing the electronic device to perform the interference optimization method as described in any one of claims 1 to 7.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the interference optimization method according to any one of claims 1 to 7.

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