Interference analysis methods, devices and network equipment

Abstract

This invention provides an interference analysis method, apparatus, and network device. The method includes: acquiring interference detection measurement information; the interference detection measurement information includes user air interface transmission quality information; performing correlation processing on the interference detection measurement information to generate an interference intensity analysis dataset; analyzing the interference intensity analysis dataset to obtain interfering cells and interference intensity parameters of the interfering cells under different network load conditions; and sending network scheduling policy information to a network service unit based on the interfering cells and the interference intensity parameters. This method addresses the problem that existing interference optimization methods are insufficient to reflect the interference between base stations under different cell loads, resource allocations, and user distributions, as well as the impact of interference from interfering cells on the user's wireless transmission quality.

Description

Technical Field

[0001] This invention relates to the field of wireless technology, and in particular to an interference analysis method, apparatus, and network equipment. Background Technology

[0002] Currently, the 5G 2.6GHz frequency band is used to support both outdoor macro base stations and indoor small base stations. Due to the higher power of outdoor macro base stations, downlink interference from them to indoor small base stations is likely to occur. Co-channel interference between indoor and outdoor networks will severely impact the service experience of indoor users, thus becoming a significant challenge in current indoor-outdoor collaborative networking.

[0003] Existing interference optimization solutions generally fall into two categories: technical and engineering approaches. Technical approaches include interference coordination techniques (such as ICIC, eICIC, FeICIC, etc.), frequency band scheduling, and interference randomization. Interference coordination techniques typically require the exchange of interference and scheduling information between macro base stations and small base stations. For example, in LTE, the Relative Narrowband Transmit Power (RNTP) information is used. Based on RNTP information, base stations avoid scheduling edge users to heavily interfered base stations (RBs) during scheduling, thus preventing users from receiving interference. This solution requires real-time resource allocation and interference information exchange between base stations, which is difficult to implement in scenarios involving different vendors. Frequency selection scheduling schemes generally establish an interference map based on assessing the interference situation on different frequency resources within the cell or based on the intensity information of interference base stations experienced by users on a large scale. Then, based on the interference situation or base station interference map, scheduling optimization is performed to avoid scheduling resources with high interference, thereby improving user and network performance. Engineering approaches generally reduce interference between macro base stations and indoor small base stations by adjusting outdoor antenna parameters, adjusting indoor antenna placement, adjusting power, and adjusting the distance between indoor and outdoor base stations. Engineering methods do not rely on real-time interference interactions between base stations and are generally well-practicable in existing networks. To implement these engineering methods, it is necessary to pre-locate the sources of interference from base stations and their corresponding interference intensity.

[0004] Currently, the location of interfering cells and the determination of interference intensity can be made by the user measuring the strength of the Reference Signal Receiving Power (RSRP) from the neighboring cell base station to the user. When the RSRP received by the user from the neighboring cell is greater than a certain threshold, it can be considered that the neighboring cell has a large interference to the user.

[0005] Currently, the interference optimization solution using dynamic interference coordination requires real-time exchange of transmission power information on Physical Resource Blocks (PRBs) between base stations, which is difficult to achieve in macro base stations and small base stations from different vendors.

[0006] Furthermore, existing methods for determining the strength of neighboring cell interference based on RSRP are insufficient to reflect the interference situation between base stations under different cell loads, resource allocations, and user distributions, as well as the impact of interference from interfering cells on the wireless transmission quality of users. Summary of the Invention

[0007] The purpose of this invention is to provide an interference analysis method, apparatus, and network equipment to address the problem that existing interference optimization methods are insufficient to reflect the interference between base stations under different cell loads, resource allocations, and user distributions, as well as the impact of interference from interfering cells on the wireless transmission quality of users.

[0008] This invention provides an interference analysis method applied to a wireless data analysis unit, wherein the method includes:

[0009] Acquire interference detection measurement information; wherein, the interference detection measurement information includes user air interface transmission quality information;

[0010] The interference detection and measurement information is correlated to generate an interference intensity analysis dataset;

[0011] Analyze the interference intensity analysis dataset to obtain the interfering cells and their interference intensity parameters under different network load conditions;

[0012] Based on the interfering cell and the interference intensity parameter, network scheduling strategy information is sent to the network service unit.

[0013] Optionally, in the interference analysis method, the interference detection measurement information further includes at least one of the following: load information of the serving cell, load information of neighboring cells, and user distribution information.

[0014] Optionally, the interference analysis method further includes:

[0015] Send an interference detection and measurement request to the base station;

[0016] The interference detection measurement request includes a measurement object, a measurement configuration, and a reporting configuration. The base station measures the measurement object according to the measurement configuration to obtain the interference detection measurement information, and reports the interference detection measurement information according to the reporting configuration.

[0017] Optionally, in the interference analysis method, the measurement object includes at least one of the base station to be measured, the cell indicated by the cell identifier list, and the measurement content.

[0018] Optionally, in the interference analysis method, the measurement content includes at least one of the following: user air interface transmission quality information of the scheduled user, physical resource block (PRB) resource scheduling status of the serving cell, PRB resource scheduling status of neighboring cells, modulation and coding scheme of the scheduled user, retransmission indication information corresponding to the scheduled user, and index of measurement reference signal.

[0019] Optionally, in the interference analysis method, the user air interface transmission quality information includes at least one of the following:

[0020] Signal quality of the serving cell and / or neighboring cells;

[0021] Signal strength of the serving cell and / or neighboring cells;

[0022] Signal-to-interference-plus-noise ratio of the serving cell and / or neighboring cells.

[0023] Optionally, in the interference analysis method, the Physical Resource Block (PRB) resource scheduling status of the serving cell and the PRB resource scheduling status of neighboring cells each include at least one of the following:

[0024] PRB resource usage information;

[0025] PRB resource scheduling status information for the scheduled user.

[0026] Optionally, in the interference analysis method, the measurement configuration includes at least one of a measurement start time, a measurement end time, a measurement trigger event, and a measurement sampling period.

[0027] Optionally, in the interference analysis method, the reporting configuration includes at least one of reporting trigger conditions, reporting time, and reporting period.

[0028] Optionally, in the interference analysis method, the measurement triggering event includes at least one of the following:

[0029] The user was dispatched;

[0030] The SINR of users at the edge of the cell is lower than the first preset threshold;

[0031] At least one of the cell's modulation and coding scheme and data rate is lower than a second preset threshold;

[0032] At least one of the modulation and coding scheme and data rate of edge users in the cell is lower than a third preset threshold;

[0033] The cell's packet loss rate, retransmission count, and user plane latency are all above the fourth preset threshold.

[0034] At least one of the following for edge users in the cell—packet loss rate, number of retransmissions, and user plane latency—is higher than the fifth preset threshold.

[0035] Optionally, in the interference analysis method, the interference detection measurement information further includes at least one of the following: the identification information of the measurement object, the measurement timestamp, the user location information, and the beam identifier of the accessed beam.

[0036] Optionally, in the interference analysis method, the interference detection and measurement information is correlated to generate an interference intensity analysis dataset, including:

[0037] Based on the index information in the interference detection measurement information, the interference detection measurement information is clustered to generate an interference intensity analysis dataset;

[0038] The interference intensity analysis dataset includes multiple raster recording units, each of which includes a raster unit identifier and corresponding interference detection measurement information, wherein the raster unit identifier is associated with the index information.

[0039] Optionally, in the interference analysis method, the index information includes user location information.

[0040] Optionally, in the interference analysis method, the index information further includes at least one of timestamp, cell identifier, user identifier, beam index, RSRP of the serving cell, and RSRP of neighboring cells.

[0041] Optionally, in the interference analysis method, each of the grid recording units is used to record interference detection measurement information corresponding to a target user at a target time unit.

[0042] Optionally, in the interference analysis method, the target time unit includes one of the following:

[0043] Absolute time;

[0044] Frame number, subframe number, and time slot number.

[0045] Optionally, in the interference analysis method, the interference intensity parameter includes at least one of interference intensity ranking information and interference intensity identifier.

[0046] Optionally, the interference analysis method, wherein analyzing the interference intensity analysis dataset to obtain interfering cells and interference intensity parameters of the interfering cells under different network load conditions, includes:

[0047] By analyzing the interference intensity analysis dataset, the interfering cells under different network load conditions and the interference intensity factors of the interfering cells are obtained;

[0048] The interfering cells are sorted according to the interference intensity factor to obtain the interference intensity sorting information;

[0049] Based on the interference intensity factor and the preset interference intensity threshold, the interference intensity identifier corresponding to each interference cell is determined.

[0050] Optionally, in the interference analysis method, the network scheduling strategy information includes network interference analysis results and / or network optimization strategy information.

[0051] Optionally, in the interference analysis method, the network interference analysis result information includes interference intensity parameters.

[0052] Optionally, in the interference analysis method, the network optimization strategy information includes at least one of the following:

[0053] The first neighbor cell list is used to provide status indication information, load occupancy status and / or load prediction status related to inter-cell interference.

[0054] Interference-related state information interaction strategies;

[0055] Resource allocation strategy.

[0056] Optionally, the interference analysis method, wherein analyzing the interference intensity analysis dataset to obtain the interference intensity factor of the interfering cell under different network load conditions includes:

[0057] For different serving cells and their corresponding neighboring cells, the interference intensity factor of the neighboring cells under different load conditions is calculated.

[0058] Optionally, the interference analysis method, for different serving cells and corresponding neighboring cells, calculates the interference intensity factor under different load conditions, including:

[0059] The load status of the serving cell and its corresponding neighboring cells is discretized to obtain discretized status data;

[0060] Based on the PRB resource allocation status of the serving cell, the PRB resource allocation status of neighboring cells, and the interference intensity analysis dataset, the interference intensity factor of the neighboring cells under each load condition is calculated.

[0061] This invention also provides an interference analysis method applied to a network service unit, wherein the method includes:

[0062] Obtain network scheduling policy information, wherein the network scheduling policy information is obtained based on interference detection measurement information, and the interference detection measurement information includes user air interface transmission quality information.

[0063] Based on the network scheduling policy information, network and / or resource scheduling is performed.

[0064] Optionally, in the interference analysis method, the network scheduling strategy information includes network interference analysis results and / or network optimization strategy information.

[0065] Optionally, the interference analysis method, wherein network and / or resource scheduling is performed according to the network scheduling policy information, includes at least one of the following:

[0066] Adjust the transmission power;

[0067] Adjust PRB resource allocation;

[0068] Investigate and resolve interference issues;

[0069] Adjust antenna parameters;

[0070] Adjust the antenna position.

[0071] Optionally, the interference analysis method further includes:

[0072] Obtain an interference detection measurement request sent by the wireless data analysis unit; wherein, the interference detection measurement request includes the measurement object, measurement configuration, and reporting configuration;

[0073] The measurement object is measured according to the measurement configuration to obtain interference detection measurement information, and the interference detection measurement information is reported according to the reporting configuration.

[0074] Optionally, in the interference analysis method, the measurement object includes at least one of the base station to be measured, the cell indicated by the cell identifier list, and the measurement content.

[0075] Optionally, in the interference analysis method, the measurement configuration includes at least one of a measurement start time, a measurement end time, a measurement trigger event, and a measurement sampling period.

[0076] Optionally, in the interference analysis method, the interference detection measurement information further includes at least one of the following: load information of the serving cell, load information of neighboring cells, and user distribution information.

[0077] One embodiment of the present invention also provides an analysis device, including a transceiver and a processor, wherein:

[0078] The transceiver is used to acquire interference detection measurement information; wherein, the interference detection measurement information includes user air interface transmission quality information;

[0079] The processor is configured to perform correlation processing on the interference detection measurement information to generate an interference intensity analysis dataset; and

[0080] Analyze the interference intensity analysis dataset to obtain the interfering cells and their interference intensity parameters under different network load conditions;

[0081] The transceiver is also used to send network scheduling strategy information to the network service unit based on the interfering cell and the interference intensity parameter.

[0082] One embodiment of the present invention also provides a network service device, including a transceiver and a processor, wherein:

[0083] The transceiver is used to acquire network scheduling policy information; wherein the network scheduling policy information is obtained based on interference detection measurement information, and the interference detection measurement information includes user air interface transmission quality information.

[0084] The processor is used to perform network and / or resource scheduling based on the network scheduling policy information.

[0085] One embodiment of the present invention also provides an interference analysis device applied to a wireless data analysis unit, wherein the device includes:

[0086] The first information acquisition module is used to acquire interference detection measurement information; wherein, the interference detection measurement information includes user air interface transmission quality information;

[0087] The generation module is used to perform correlation processing on the interference detection and measurement information to generate an interference intensity analysis dataset;

[0088] The analysis module is used to analyze the interference intensity analysis dataset to obtain the interfering cells and the interference intensity parameters of the interfering cells under different network load conditions.

[0089] The sending module is used to send network scheduling strategy information to the network service unit based on the interfering cell and the interference intensity parameter.

[0090] One embodiment of the present invention also provides an interference analysis device applied to a network service unit, wherein the device includes:

[0091] The second information acquisition module is used to acquire network scheduling policy information; wherein the network scheduling policy information is obtained based on interference detection measurement information, and the interference detection measurement information includes user air interface transmission quality information.

[0092] The scheduling module is used to perform network and / or resource scheduling based on the network scheduling policy information.

[0093] One embodiment of the present invention also provides a network device, comprising: a processor, a memory, and a program stored in the memory and executable on the processor, wherein the program, when executed by the processor, implements the interference analysis method as described in any of the preceding claims.

[0094] Another embodiment of the present invention provides a readable storage medium, wherein a program is stored on the readable storage medium, and when the program is executed by a processor, it implements the steps in the interference analysis method as described in any of the preceding claims.

[0095] At least one of the above technical solutions of the present invention has the following beneficial effects:

[0096] This method acquires interference detection and measurement information reported by the base station, performs correlation processing on the interference detection and measurement information, and generates an interference intensity analysis dataset. This dataset can more finely and accurately reflect the interference status of the interfering cell's resource allocation and / or load on the serving cell, obtain the interfering cell and its interference intensity parameters under different network load conditions, and send network scheduling policy information to the network service unit based on the interfering cell and its interference intensity parameters to assist in optimizing radio resource management or network parameters on the base station side. Attached Figure Description

[0097] Figure 1 This is a flowchart illustrating the interference analysis method according to one embodiment of the present invention;

[0098] Figure 2 This is a schematic diagram of the system structure using the method described in the embodiments of the present invention;

[0099] Figure 3 This is a flowchart illustrating the interference analysis method according to another embodiment of the present invention;

[0100] Figure 4 This is a schematic diagram of the structure of the analytical device described in an embodiment of the present invention;

[0101] Figure 5 This is a schematic diagram of the network service device described in an embodiment of the present invention;

[0102] Figure 6 This is a schematic diagram of the interference analysis device according to one embodiment of the present invention;

[0103] Figure 7 This is a schematic diagram of the interference analysis device according to another embodiment of the present invention. Detailed Implementation

[0104] To make the technical problems, technical solutions and advantages of the present invention clearer, a detailed description will be given below in conjunction with the accompanying drawings and specific embodiments.

[0105] To address the shortcomings of existing interference optimization methods, which fail to reflect the interference from macro base stations to small base stations under varying cell loads, resource allocations, and user distributions, and the impact of interference from interfering cells on user wireless transmission quality, this invention provides an interference analysis method. This method acquires interference detection and measurement information reported by the base station, comprehensively analyzes the load information of the serving cell, neighboring cell load information, user air interface transmission quality information, and / or user distribution information within the interference detection and measurement information, and performs correlation processing on the interference detection and measurement information to generate an interference intensity analysis dataset. This dataset more precisely and accurately reflects the interference status of the serving cell caused by the resource allocation and / or load of interfering cells, obtaining interfering cells and their interference intensity parameters under different network load conditions. Based on the interfering cells and their interference intensity parameters, network scheduling policy information is sent to the network service unit to assist in optimizing wireless resource management or network parameters on the base station side.

[0106] like Figure 1 The diagram shown is a flowchart illustrating the interference analysis method according to one embodiment of the present invention. Figure 1 As shown, this interference analysis method is applied to a wireless data analysis unit, including:

[0107] S110, acquire interference detection measurement information; wherein, the interference detection measurement information includes user air interface transmission quality information of the serving cell;

[0108] S120, perform correlation processing on the interference detection and measurement information to generate an interference intensity analysis dataset;

[0109] S130, Analyze the interference intensity analysis dataset to obtain the interfering cells and interference intensity parameters of the interfering cells under different network load conditions;

[0110] S140, based on the interfering cell and the interference intensity parameter, send network scheduling strategy information to the network service unit.

[0111] Using the method described in this embodiment, user interference analysis of the serving cell is performed using interference detection measurement information to obtain analysis results. Optionally, the analysis results include the interfering cell and the interference intensity parameters of the interfering cell. The analysis results are then sent to a network service unit, such as a network optimization unit and / or a base station, to assist in interference optimization.

[0112] Optionally, the interference detection and measurement information may further include at least one of the following: serving cell load information, neighboring cell load information, and user distribution information. Using the method described in this embodiment, user interference analysis of the serving cell is performed by comprehensively analyzing the serving cell load information, neighboring cell load information, user air interface transmission quality information, and user distribution, thereby obtaining analysis results.

[0113] The interference analysis method described in the embodiments of the present invention, such as Figure 2 As shown, a wireless data analysis unit can be applied to a network management system, a base station, and a network management function unit, respectively. This wireless data analysis unit can obtain the interference detection measurement information through the network management system and the base station. Optionally, based on the interference detection measurement information, such as user location information, RSRP measurement reports of the serving cell, and RSRP measurement reports of neighboring cells, the wireless data analysis unit divides the cell into virtual grids. For each user location or the corresponding RSRP measurement information, it analyzes the load and resource allocation of the serving cell and neighboring cells, as well as the user's air interface transmission status information, to obtain interference strength parameters (such as interference strength ranking information and interference strength identifiers). It then sends network scheduling policy information to the network service unit, such as sending network scheduling policy information to the base station or the network management function unit, to assist in frequency scheduling optimization or parameter optimization.

[0114] Optionally, the method further includes:

[0115] Send an interference detection and measurement request to the base station;

[0116] The interference detection measurement request includes a measurement object, a measurement configuration, and a reporting configuration. The base station measures the measurement object according to the measurement configuration to obtain the interference detection measurement information, and reports the interference detection measurement information according to the reporting configuration.

[0117] Optionally, the measurement object includes at least one of the base station to be measured, the cell indicated by the cell identifier list, and the measurement content.

[0118] In one embodiment, the measurement content may optionally include at least one of the following: user air interface transmission quality information of the scheduled user, physical resource block (PRB) resource scheduling status of the serving cell, PRB resource scheduling status of neighboring cells, modulation and coding scheme of the scheduled user, retransmission indication information corresponding to the scheduled user, and index of measurement reference signal.

[0119] Optionally, the user air interface transmission quality information of the scheduled user in the measurement content includes at least one of the following:

[0120] Signal quality of the serving cell and / or neighboring cells;

[0121] Signal strength of the serving cell and / or neighboring cells;

[0122] Signal-to-interference-plus-noise ratio of the serving cell and / or neighboring cells.

[0123] Optionally, the signal strength of the serving cell and / or neighboring cells includes Reference Signal Receiving Power (RSRP) and Received Signal Strength Indication (RSSI); the signal quality of the serving cell and / or neighboring cells includes Reference Signal Receiving Quality (RSRQ); and the signal-to-interference-plus-noise ratio (SNR) of the serving cell and / or neighboring cells includes Signal to Interference plus Noise Ratio (SINR).

[0124] The modulation and coding scheme of the scheduled user includes at least one of the following: Modulation and Coding Scheme (MCS) and Channel Quality Indicator (CQI);

[0125] The retransmission indication information corresponding to the scheduled user includes at least one of the ACK information and the NACK information of the hybrid automatic retransmission request.

[0126] Optionally, the index of the measurement reference signal includes at least one of the Synchronization Signal and PBCH block (SSB) index and the Channel State Information (CSI) Reference Signal (RS) index.

[0127] Furthermore, it should be noted that, in this embodiment of the invention, the PRB resource scheduling status of the serving cell includes the PRB resource occupancy status of the serving cell and / or the PRB resource scheduling status of the scheduled user.

[0128] The PRB resource scheduling status of the neighboring cell includes the PRB resource occupancy status of the neighboring cell and / or the PRB resource scheduling status of the scheduled user.

[0129] Optionally, the PRB resource scheduling status of each scheduled user can be indicated using a bitmap. For example, if a PRB is occupied, it is represented by 1; if a PRB is not occupied, it is represented by 0. In another implementation, the PRB resource scheduling status of each scheduled user can also be indicated by the occupancy status of PRB groups. For example, the N PRBs of a cell can be divided into K groups, with each PRB group containing N / K PRBs. These PRB groups are numbered 1, 2, ..., K. The PRB resource scheduling status of the scheduled user is indicated by whether the PRB occupied by the user is in a certain group; for example, if a PRB in a certain PRB group is occupied, it is indicated by 1; if it is not occupied, it is indicated by 0.

[0130] In this embodiment of the invention, optionally, the Physical Resource Block (PRB) resource scheduling status of the serving cell and the PRB resource scheduling status of neighboring cells in the measurement content can be indicated in at least one of the following forms:

[0131] Available PRB utilization rate;

[0132] PRB occupancy count;

[0133] PRB group occupancy status;

[0134] The bitmap format represents the occupancy status of each PRB. In the interference analysis method described in this embodiment of the invention, the measurement configuration in the interference detection measurement request sent to the base station includes at least one of the following: measurement start time, measurement end time, measurement trigger event, and measurement sampling period.

[0135] Specifically, when the measurement is triggered by an event, the interference detection measurement request includes the measurement trigger event; when the measurement is periodically performed, the interference detection measurement request includes the measurement sampling period.

[0136] Optionally, the measurement trigger event includes at least one of the following:

[0137] The user was dispatched;

[0138] The SINR of users at the edge of the cell is lower than the first preset threshold;

[0139] The cell’s modulation and coding scheme (such as at least one of MCS and CQI) and data rate are both lower than a second preset threshold;

[0140] At least one of the modulation and coding scheme (such as at least one of MCS and CQI) and data rate of the edge users of the cell is lower than a third preset threshold;

[0141] The cell's packet loss rate, retransmission count, and user plane latency are all above the fourth preset threshold.

[0142] At least one of the following for edge users in the cell—packet loss rate, number of retransmissions, and user plane latency—is higher than the fifth preset threshold.

[0143] Optionally, the MCS, CQI, and data rate of the aforementioned cell can be the calculated average MCS, CQI, and data rate of the cell, respectively; the packet loss rate, retransmission count, and user plane latency of the cell can be the calculated average packet loss rate, retransmission count, and user plane latency of the cell, respectively.

[0144] Optionally, the first, second, third, fourth, and fifth preset thresholds mentioned above can be configured dynamically.

[0145] Optionally, the reporting configuration in the interference detection measurement request includes at least one of the following: reporting trigger conditions, reporting time, and reporting period.

[0146] The interference analysis method described in this embodiment of the invention involves sending an interference detection measurement request to a base station, after which the base station measures the object to be measured according to the measurement configuration in the interference detection measurement request, obtains interference detection measurement information, and reports the interference detection measurement information according to the reporting configuration in the interference detection measurement request.

[0147] Furthermore, optionally, the reported interference detection measurement information may also include at least one of the following: the identification information of the measurement object, the measurement timestamp, the user location information, and the beam identifier of the accessed beam.

[0148] The identification information of the measurement object includes at least one of the following: the identifier of the measurement base station, the identifier of the measurement cell, and the user identifier.

[0149] The interference analysis method described in this embodiment of the invention preprocesses and associates the interference detection measurement information reported by the base station after obtaining it. Based on the index information in the interference detection measurement information, the interference detection measurement information is clustered into grids. Based on the clustered grids, an interference intensity analysis dataset of the grid poles is generated.

[0150] Specifically, in step S120, the interference detection measurement information is correlated to generate an interference intensity analysis dataset, including:

[0151] Based on the index information in the interference detection measurement information, the interference detection measurement information is clustered to generate an interference intensity analysis dataset;

[0152] The interference intensity analysis dataset includes multiple raster recording units, each of which includes a raster unit identifier and corresponding interference detection measurement information, wherein the raster unit identifier is associated with the index information.

[0153] Optionally, the index information includes user location information.

[0154] Optionally, the index information may further include at least one of the following: timestamp, cell identifier, user identifier, beam index, RSRP of the serving cell, and RSRP of neighboring cells.

[0155] In one implementation, the grid cell identifier can be identified by the cluster number of the user location cluster; further, the grid recording unit corresponding to the interference detection measurement information can be determined based on the correspondence between the index information in the interference detection measurement information, such as at least one of the user location information, timestamp, cell identifier, user identifier, beam index, RSRP of the serving cell and RSRP of the neighboring cell, and the grid cell identifier.

[0156] In this way, the interference detection measurement information of each grid recording unit can be associated according to the aforementioned index information. In each grid recording unit, the grid recording unit is used to record the interference detection measurement information of a corresponding target user at a target time unit. The target time unit includes absolute time; or it may include frame number, subframe number, and time slot number.

[0157] For example, in a grid record unit, for a target user in a serving cell, the grid record unit records the PRB resource scheduling status under different time units, the PRB resource scheduling status of the serving cell and neighboring cells, the user's MCS / CQI, and may also include ACK / NACK information corresponding to the PRB scheduling time.

[0158] It should be noted that, depending on the granularity of obtaining the resource scheduling status of the serving cell / neighboring cell and the user's PRB resource scheduling status, the dataset may contain one or more combinations.

[0159] The interference analysis method described in this embodiment of the invention analyzes the interference intensity analysis dataset generated in step S120 in step S130 to obtain interfering cells and interference intensity parameters of the interfering cells under different network load conditions.

[0160] Optionally, different network load states include serving cell load and neighboring cell load. That is, when analyzing interfering cells and corresponding interference intensity parameters, interfering cells and corresponding interference intensity parameters are determined separately for different serving cell loads and different neighboring cell loads.

[0161] Optionally, the interference intensity analysis dataset is analyzed to obtain interfering cells and interference intensity parameters of the interfering cells under different network load conditions, including:

[0162] By analyzing the interference intensity analysis dataset, the interfering cells under different network load conditions and the interference intensity factors of the interfering cells are obtained;

[0163] The interfering cells are sorted according to the interference intensity factor to obtain the interference intensity sorting information;

[0164] Based on the interference intensity factor and the preset interference intensity threshold, the interference intensity identifier corresponding to each interference cell is determined.

[0165] Specifically, in this embodiment of the invention, the interference intensity parameter includes at least one of interference intensity sorting information and interference intensity identifier.

[0166] Optionally, the interference intensity analysis dataset is analyzed to obtain the interference intensity factor of the interfering cell under different network load conditions, including:

[0167] For different serving cells and their corresponding neighboring cells, the interference intensity factor of the neighboring cells under different load conditions is calculated.

[0168] In this embodiment of the invention, for different serving cells and corresponding neighboring cells, the interference intensity factor of the interference state under different load states is calculated, including:

[0169] The load status of the serving cell and its corresponding neighboring cells is discretized to obtain discretized status data;

[0170] Based on the PRB resource allocation status of the serving cell, the PRB resource allocation status of neighboring cells, and the interference intensity analysis dataset, the interference intensity factor of the neighboring cells under each load condition is calculated.

[0171] Specifically, the interference intensity factor is related to the load status of the serving cell and neighboring cells. When the neighboring cells have a light load, the interference is small; when the load is high, the interference is large. To reflect the interference intensity under different load conditions of neighboring cells, the interference intensity factor can be calculated separately for the load status of different serving cells and their neighboring cells.

[0172] In this embodiment of the invention, the load state space of the serving cell and its neighboring cells can be continuous or discretized through clustering to obtain the discretized state and thus the discretized state data; for example, the load state space of the serving cell and its neighboring cells can be discretized into S (S>=1) possible states.

[0173] Based on this, according to the generated interference intensity analysis dataset, the PRB resource allocation status of the serving cell, and the PRB resource allocation status of neighboring cells, a dataset under state s (s∈|S|) is further constructed. Then, based on at least one of the following: the overlap between user PRB occupancy and neighboring cell occupancy under different raster recording units in the dataset, and the corresponding changes in MCS, CQI, ACK, and NACK, the interference intensity factor F of neighboring cells under each state s (s∈|S|) is calculated. s1 ,F s2 ,...F sN .

[0174] For example, in an embodiment of the present invention, the interference intensity factor can be determined as follows:

[0175] Assuming the load state space of the serving cell and its neighboring cells is discretely represented by S possible states, the interfering cells in the s-th state (s∈|S|) can be sorted from strongest to weakest interference as follows: I s1 ,I s2 ,...I sN , where N represents the N neighboring cells of the serving cell;

[0176] If the interference strength threshold is set to I th1 According to the interference intensity threshold I th1 It can be based on the interference intensity factor and threshold I. th1 Determine the interference intensity indicator;

[0177] Optionally, the interference intensity factor can be adaptively configured according to requirements; for example, if the interference intensity factor is greater than I... th1 If the interference intensity is less than 1, it can be marked as 1, which is considered strong interference; if it is less than 1... th1 If the interference intensity threshold is 0, it can be considered as weak interference; multiple interference intensity thresholds can also be defined, such as I th1 ,I th2 ,...I thK Based on K interference intensity thresholds, the interference intensity of neighboring interfering cells can be divided into K+1 levels. According to the interference intensity factor and interference intensity threshold, the interference intensity identifier corresponding to each interfering cell is determined. The K+1 interference intensity identifiers can be identified by 1, ..., K+1; the larger the value, the stronger the interference.

[0178] In this embodiment of the invention, in step S140, the network scheduling strategy information includes network interference analysis results and / or network optimization strategy information. The network interference analysis results include interference intensity parameters.

[0179] Optionally, the network optimization strategy information includes at least one of the following:

[0180] The first neighbor cell list is used to provide status indication information, load occupancy status and / or load prediction status related to inter-cell interference.

[0181] Interference-related state information interaction strategies;

[0182] Resource allocation strategy.

[0183] Optionally, in step S140, the network service unit receiving the network scheduling policy information includes at least one of the following:

[0184] Serving the community;

[0185] Serving the neighboring areas of the community;

[0186] Network management functional unit.

[0187] In one implementation, in step S140, the interference cell ranking and / or corresponding interference intensity identifier obtained under different load conditions are sent to the serving cell and its corresponding neighboring cells and / or network management function components to assist in frequency scheduling optimization on the base station side or to assist in manual engineering optimization of the network.

[0188] In one implementation, based on the analysis results of step S130, in step S140, N interfering cells with strong interference are selected, and a list of neighboring cells that require real-time interaction of interference-related status indication information between the serving cell and the serving cell is sent. Optionally, the list may also include the load occupancy status or load prediction status of the interacting neighboring cells.

[0189] In one implementation, based on the analysis results of step S130, in step S140, an interference-related status information exchange strategy is sent to the wireless base station network element. The strategy can indicate the list of neighboring cells that the serving cell needs to exchange real-time interference-related status indication information after the load of the serving cell exceeds the threshold; it can also indicate the list of neighboring cells that the serving cell needs to exchange real-time interference-related status indication information under different load conditions.

[0190] Optionally, the load status can be divided according to the PRB occupancy of the serving cell and neighboring cells.

[0191] After sending the aforementioned network scheduling strategy information to the base station and its corresponding neighboring cells, in one implementation method, the base station and its corresponding neighboring cells, based on the received interfering cell ranking and / or the corresponding interference intensity identifier, can adjust their transmit power, PRB resource allocation, etc., according to their own status and the interference to neighboring cells, to achieve coordination between base stations and reduce user interference. After sending the aforementioned network scheduling strategy information to the network optimization function unit, the network optimization function unit, based on the interfering cell ranking and / or the corresponding interference intensity identifier in the network scheduling strategy information, can assist maintenance personnel in troubleshooting interfering base stations and optimizing outdoor antenna parameters, adjusting indoor antenna placement positions, adjusting power, etc.

[0192] In another implementation, in step S140, optionally, resource allocation suggestions for each base station can be further analyzed based on the interference cell sorting and the corresponding interference intensity identifier, and then sent to the base station.

[0193] In this embodiment of the invention, optionally, the step of sending network scheduling policy information to the network service unit may include at least one of the following:

[0194] The sorting information of interfering cells under different load conditions and / or the corresponding interference intensity identifiers are sent to at least one of the serving cell, the neighboring cells of the serving cell, and the network management functional unit.

[0195] Based on the sorting information of the interfering cells, select N cells with stronger interference from the interfering cells and send a list of neighboring cells that require real-time interaction with the serving cell to exchange interference-related status indication information; optionally, it may also include the load occupancy status or load prediction status of the interacting neighboring cells; where N is an integer greater than or equal to 1.

[0196] The system sends an interference-related status information exchange strategy to the wireless base station network element. Optionally, the interference-related status information exchange strategy is used to indicate the list of neighboring cells that the serving cell needs to exchange real-time interference-related status indication information with after the load of the serving cell exceeds a threshold. Optionally, it can also be used to indicate the list of neighboring cells that the serving cell needs to exchange real-time interference-related status indication information with under different load conditions.

[0197] The following combination Figure 1 and Figure 2 An example is given illustrating the implementation of the interference analysis method described in the embodiments of the present invention.

[0198] Using the interference analysis method described in this embodiment, the wireless data analysis unit sends an interference detection measurement request to the base station, including: the measurement object, the measurement configuration, and the reporting configuration.

[0199] In this embodiment, the measurement object includes:

[0200] UEs located at the cell edge report their location information, the subband MCS / CQI of the user in the serving cell at the corresponding location, the base station and cell identifiers of the serving cell and co-frequency neighboring cells, the corresponding PRB downlink utilization, and the resource allocation status information of the serving cell and neighboring cells' PRBs (which can be represented by bitmap or bitstring). Optionally, it can be determined whether the UE is a cell edge user based on the location information reported by the UE.

[0201] The measurement configuration includes: measurement UE period T; optionally, T can be selected from 100ms, 200ms, 400ms, 800ms, or 1s; measurement start time T1; and measurement end time T2.

[0202] The reporting configuration includes: reporting interference detection measurement information after the measurement is completed.

[0203] The base station measures the target object according to the measurement configuration in the interference detection measurement request, obtains interference detection measurement information, performs data analysis and correlation, and constructs raster recording units based on user location clustering to generate an interference intensity analysis dataset. For example, this interference intensity analysis dataset includes the contents of the table below:

[0204] Furthermore, the wireless data analysis unit analyzes the aforementioned interference intensity analysis dataset, sorts the interfering cells, and obtains interference intensity ranking information. Specifically, the calculation method is as follows:

[0205] In the interference intensity analysis dataset, the average CQI or the average MCS of all samples in the set M0 of samples with PRB occupancy below the threshold TH0 in the same frequency neighboring cell is determined as the user's CQI baseline CQI0 or MCS baseline MCS0 under interference conditions; where CQI0 represents the CQI baseline value under interference-free conditions; and MCS0 represents the MCS baseline value under interference-free conditions.

[0206] Optionally, TH0 can be 5% or 10%;

[0207] Considering the impact of the serving cell's own load on the user's CQI, the CQI is further obtained. 0,n / MCS 0,n That is, to obtain CQI0 or MCS0, the CQI of the serving cell within the range of PRB occupancy rate n. 0,n / MCS 0,n , in ΔPRB represents the upper limit of PRB utilization. ratio Indicates the interval length for dividing PRB utilization; CQI 0,nMCS represents the mean CQI of all samples in the serving cell within the interval of PRB occupancy rate n; 0,n It represents the mean MCS of all samples in the serving cell within the interval of PRB occupancy rate n.

[0208] For a co-frequency neighbor cell k, samples with PRB occupancy rates lower than TH0 from other co-frequency neighbor cells in the interference intensity analysis dataset (excluding k) and samples with PRB occupancy rates greater than TH1 from the k co-frequency neighbor cell are selected as M. k Set; for i,j∈S k , CQI i CQI j , respectively representing set M k The PRB occupancy rate (or allocation occupancy status) and CQI value of the serving cell and co-frequency neighbor cell k corresponding to sample i,j;

[0209] When only the PRB occupancy rate information of neighboring cell k at the same frequency is available, the analysis... CQI i and The impact, that is, The ratio is divided into N segments, and the average value of the CQI change within each segment is calculated.

[0210] Alternatively, the average value can be determined as follows:

[0211] generally The larger the value, the greater the load of neighboring cells on the same frequency. A larger load results in greater interference to the serving cell. The larger it is, the stronger the interference source is. like The community may be in a state of undisturbed operation.

[0212] Based on the above method, and according to different co-frequency neighboring cells k, for Sort the cells in descending order to obtain a list of interference intensities.

[0213] When PRB allocation status information exists, the number of PRB reuses between co-frequency neighboring cell k and serving cell o can be calculated. Based on the accuracy of the number of reused PRBs and the changes in CQI / MCS, the relative interference strength of co-frequency neighboring cells can be determined, and the strongest interference source can be identified. (A represents the total sample set);

[0214] Optionally, the weight of each neighboring cell with the same frequency on the decrease in CQI can be determined, for example, by constructing a tree model. and The previous mapping relationship is sorted according to the k co-frequency neighboring cells (input features) that affect the weight to obtain the interference intensity ranking of interfering cells; the earlier the cell is ranked, the greater the interference intensity.

[0215] Thus, based on statistical calculation methods, considering different numbers of reused RBs, the average change in CQI is calculated. Generally, the larger l is, the better. The larger the difference, the stronger the interference source. like The community may be in a state of undisturbed operation.

[0216] Based on the above method, and according to different co-frequency neighboring cells k, for Arrange the cells in descending order to obtain a sorted list of interference intensities, which is the sorting information of interference intensities.

[0217] Using the above process, after the wireless data analysis unit determines the interference intensity ranking information of the interfering cells, it can send the interference intensity ranking information to the serving cell and / or network management function unit to assist in frequency scheduling optimization on the base station side or to assist in manual engineering optimization of the network.

[0218] After receiving the interference intensity ranking information sent by the wireless data analysis unit, the network management function unit can assist maintenance personnel in troubleshooting interference base stations and optimizing outdoor antenna parameters, adjusting indoor antenna placement, and adjusting power.

[0219] In another implementation, optionally, after determining the interference intensity ranking information of the interfering cells, the wireless data analysis unit may select a preset number N cells with strong interference and send a list of neighboring cells that require real-time interaction with the serving cell regarding interference-related status indication information to the serving cell. Optionally, it may also indicate the load status information of the neighboring cells that need to be interacted with, such as load occupancy status and / or load prediction status.

[0220] The base station receives a list of neighboring cells and load status information from the wireless data analysis unit for exchanging interference-related status information. It then sends information such as the PRB resources and transmission function levels that the cell may transmit and occupy in the future to the neighboring cells in the list. Based on the received information, it performs wireless resource scheduling optimization to avoid wireless performance degradation caused by interference from neighboring cells.

[0221] It should be noted that, in the embodiments of the present invention, the specific process of sorting interfering cells to obtain interference intensity sorting information is only an example and is not limited thereto.

[0222] The interference analysis method described in this invention can more accurately detect cell load, resource allocation, and interference between base stations under different user locations and different user distributions, as well as the impact of interference from interfering cells on the wireless transmission quality of users. It can obtain interfering cells and interference intensity parameters under different network load conditions, and send network scheduling strategy information to the network service unit based on the interfering cells and interference intensity parameters to assist in optimizing wireless resource management or network parameters on the base station side.

[0223] This invention also provides an interference analysis method, applied to network service units, such as... Figure 3 As shown, the method includes:

[0224] S310, Obtain network scheduling policy information, wherein the network scheduling policy information is obtained based on interference detection measurement information, and the interference detection measurement information includes user air interface transmission quality information.

[0225] S320, perform network and / or resource scheduling according to the network scheduling policy information.

[0226] By employing the interference analysis method described in this embodiment of the invention, network scheduling policy information can be obtained, which can assist in optimizing wireless resource management or network parameters on the base station side.

[0227] Optionally, in the interference analysis method, the network scheduling strategy information includes network interference analysis results and / or network optimization strategy information.

[0228] Optionally, in the interference analysis method, the network interference analysis result information includes interference intensity parameters.

[0229] Optionally, in the interference analysis method, the network optimization strategy information includes at least one of the following:

[0230] The first neighbor cell list is used to provide status indication information, load occupancy status and / or load prediction status related to inter-cell interference.

[0231] Interference-related state information interaction strategies;

[0232] Resource allocation strategy.

[0233] Optionally, the interference analysis method, wherein network and / or resource scheduling is performed according to the network scheduling policy information, includes at least one of the following:

[0234] Adjust the transmission power;

[0235] Adjust PRB resource allocation;

[0236] Investigate and resolve interference issues;

[0237] Adjust antenna parameters;

[0238] Adjust the antenna position.

[0239] Optionally, the interference analysis method further includes:

[0240] Obtain an interference detection measurement request sent by the wireless data analysis unit; wherein, the interference detection measurement request includes the measurement object, measurement configuration, and reporting configuration;

[0241] The measurement object is measured according to the measurement configuration to obtain interference detection measurement information, and the interference detection measurement information is reported according to the reporting configuration.

[0242] Optionally, in the interference analysis method, the measurement object includes at least one of the base station to be measured, the cell indicated by the cell identifier list, and the measurement content.

[0243] Optionally, in the interference analysis method, the measurement content includes at least one of the following: user air interface transmission quality information of the scheduled user, physical resource block (PRB) resource scheduling status of the serving cell, PRB resource scheduling status of neighboring cells, modulation and coding scheme of the scheduled user, retransmission indication information corresponding to the scheduled user, and index of measurement reference signal.

[0244] Optionally, in the interference analysis method, the user air interface transmission quality information includes at least one of the following:

[0245] Signal quality of the serving cell and / or neighboring cells;

[0246] Signal strength of the serving cell and / or neighboring cells;

[0247] Signal-to-interference-plus-noise ratio of the serving cell and / or neighboring cells.

[0248] Optionally, in the interference analysis method, the Physical Resource Block (PRB) resource scheduling status of the serving cell and the PRB resource scheduling status of neighboring cells each include at least one of the following:

[0249] PRB resource usage information;

[0250] PRB resource scheduling status information for the scheduled user.

[0251] Optionally, in the interference analysis method, the measurement configuration includes at least one of a measurement start time, a measurement end time, a measurement trigger event, and a measurement sampling period.

[0252] Optionally, in the interference analysis method, the reporting configuration includes at least one of reporting trigger conditions, reporting time, and reporting period.

[0253] Optionally, in the interference analysis method, the measurement triggering event includes at least one of the following:

[0254] The user was dispatched;

[0255] The SINR of users at the edge of the cell is lower than the first preset threshold;

[0256] At least one of the cell's modulation and coding scheme and data rate is lower than a second preset threshold;

[0257] At least one of the modulation and coding scheme and data rate of edge users in the cell is lower than a third preset threshold;

[0258] The cell's packet loss rate, retransmission count, and user plane latency are all above the fourth preset threshold.

[0259] At least one of the following for edge users in the cell—packet loss rate, number of retransmissions, and user plane latency—is higher than the fifth preset threshold.

[0260] This invention also provides an analysis device, such as... Figure 4 As shown, it includes a transceiver 410 and a processor 420, wherein:

[0261] The transceiver 410 is used to acquire interference detection measurement information; wherein, the interference detection measurement information includes user air interface transmission quality information;

[0262] The processor 420 is configured to perform correlation processing on the interference detection and measurement information to generate an interference intensity analysis dataset; and

[0263] Analyze the interference intensity analysis dataset to obtain the interfering cells and their interference intensity parameters under different network load conditions;

[0264] The transceiver 410 is further configured to send network scheduling strategy information to the network service unit based on the interfering cell and the interference intensity parameter.

[0265] Optionally, in the analysis device, the interference detection measurement information further includes at least one of the following: load information of the serving cell, load information of neighboring cells, and user distribution information.

[0266] Optionally, in the aforementioned analysis device, the transceiver 410 is further configured to:

[0267] Send an interference detection and measurement request to the base station;

[0268] The interference detection measurement request includes a measurement object, a measurement configuration, and a reporting configuration. The base station measures the measurement object according to the measurement configuration to obtain the interference detection measurement information, and reports the interference detection measurement information according to the reporting configuration.

[0269] Optionally, the analysis device wherein the measurement object includes at least one of the base station to be measured, the cell indicated by the cell identifier list, and the measurement content.

[0270] Optionally, in the analysis device, the measurement content includes at least one of the following: user air interface transmission quality information of the scheduled user, physical resource block (PRB) resource scheduling status of the serving cell, PRB resource scheduling status of neighboring cells, modulation and coding scheme of the scheduled user, retransmission indication information corresponding to the scheduled user, and index of measurement reference signal.

[0271] Optionally, in the analysis device, the user air interface transmission quality information includes at least one of the following:

[0272] Signal quality of the serving cell and / or neighboring cells;

[0273] Signal strength of the serving cell and / or neighboring cells;

[0274] Signal-to-interference-plus-noise ratio of the serving cell and / or neighboring cells.

[0275] Optionally, in the analysis device, the Physical Resource Block (PRB) resource scheduling status of the serving cell and the PRB resource scheduling status of neighboring cells each include at least one of the following:

[0276] PRB resource usage information;

[0277] PRB resource scheduling status information for the scheduled user.

[0278] Optionally, in the analytical device, the measurement configuration includes at least one of a measurement start time, a measurement end time, a measurement trigger event, and a measurement sampling period.

[0279] Optionally, in the analysis device, the reporting configuration includes at least one of reporting trigger conditions, reporting time, and reporting period.

[0280] Optionally, in the analytical device, the measurement trigger event includes at least one of the following:

[0281] The user was dispatched;

[0282] The SINR of users at the edge of the cell is lower than the first preset threshold;

[0283] At least one of the cell's modulation and coding scheme and data rate is lower than a second preset threshold;

[0284] At least one of the modulation and coding scheme and data rate of edge users in the cell is lower than a third preset threshold;

[0285] The cell's packet loss rate, retransmission count, and user plane latency are all above the fourth preset threshold.

[0286] At least one of the following for edge users in the cell—packet loss rate, number of retransmissions, and user plane latency—is higher than the fifth preset threshold.

[0287] Optionally, in the analysis device, the interference detection measurement information further includes at least one of the following: the identification information of the measurement object, the measurement timestamp, the user location information, and the beam identifier of the accessed beam.

[0288] Optionally, in the analysis device, the processor 420 performs correlation processing on the interference detection measurement information to generate an interference intensity analysis dataset, including:

[0289] Based on the index information in the interference detection measurement information, the interference detection measurement information is clustered to generate an interference intensity analysis dataset;

[0290] The interference intensity analysis dataset includes multiple raster recording units, each of which includes a raster unit identifier and corresponding interference detection measurement information, wherein the raster unit identifier is associated with the index information.

[0291] Optionally, in the analysis device, the index information includes at least one of user location information, timestamp, cell identifier, user identifier, beam index, RSRP of the serving cell, and RSRP of neighboring cells.

[0292] Optionally, in the analysis device, each of the grid recording units is used to record interference detection measurement information corresponding to a target user at a target time unit.

[0293] Optionally, in the analytical device, the target time unit includes one of the following:

[0294] Absolute time;

[0295] Frame number, subframe number, and time slot number.

[0296] Optionally, in the analysis device, the interference intensity parameter includes at least one of interference intensity ranking information and interference intensity identifier.

[0297] Optionally, in the analysis device, the processor 420 analyzes the interference intensity analysis dataset to obtain interfering cells under different network load conditions and the interference intensity parameters of the interfering cells, including:

[0298] By analyzing the interference intensity analysis dataset, the interfering cells under different network load conditions and the interference intensity factors of the interfering cells are obtained;

[0299] The interfering cells are sorted according to the interference intensity factor to obtain the interference intensity sorting information;

[0300] Based on the interference intensity factor and the preset interference intensity threshold, the interference intensity identifier corresponding to each interference cell is determined.

[0301] Optionally, in the analysis device, the network scheduling strategy information includes network interference analysis results and / or network optimization strategy information.

[0302] Optionally, in the analysis device, the network interference analysis result information includes interference intensity parameters.

[0303] Optionally, the analysis device includes at least one of the following network optimization strategy information:

[0304] The first neighbor cell list is used to provide status indication information, load occupancy status and / or load prediction status related to inter-cell interference.

[0305] Interference-related state information interaction strategies;

[0306] Resource allocation strategy.

[0307] Optionally, in the analysis device, the processor 420 analyzes the interference intensity analysis dataset to obtain the interference intensity factor of the interfering cell under different network load conditions, including:

[0308] For different serving cells and their corresponding neighboring cells, the interference intensity factor of the neighboring cells under different load conditions is calculated.

[0309] Optionally, the analysis device calculates the interference intensity factor for different serving cells and corresponding neighboring cells under different load conditions, including:

[0310] The load status of the serving cell and its corresponding neighboring cells is discretized to obtain discretized status data;

[0311] Based on the PRB resource allocation status of the serving cell, the PRB resource allocation status of neighboring cells, and the interference intensity analysis dataset, the interference intensity factor of the neighboring cells under each load condition is calculated.

[0312] Optionally, the analysis device, wherein the network service unit includes at least one of the following:

[0313] Serving the community;

[0314] Serving the neighboring areas of the community;

[0315] Network management functional unit.

[0316] This invention also provides a network service device, such as... Figure 5 As shown, it includes a transceiver 510 and a processor 520, wherein:

[0317] The transceiver 510 is used to acquire network scheduling policy information, wherein the network scheduling policy information is obtained based on interference detection measurement information, and the interference detection measurement information includes user air interface transmission quality information.

[0318] The processor 520 is used to perform network and / or resource scheduling based on the network scheduling policy information.

[0319] Optionally, in the network service device, the network scheduling strategy information includes network interference analysis results and / or network optimization strategy information.

[0320] Optionally, in the network service device, the network interference analysis result information includes interference intensity parameters.

[0321] Optionally, in the network service device, the network optimization strategy information includes at least one of the following:

[0322] The first neighbor cell list is used to provide status indication information, load occupancy status and / or load prediction status related to inter-cell interference.

[0323] Interference-related state information interaction strategies;

[0324] Resource allocation strategy.

[0325] Optionally, in the network service device, the processor 520 performs network and / or resource scheduling according to the network scheduling policy information, including at least one of the following:

[0326] Adjust the transmission power;

[0327] Adjust PRB resource allocation;

[0328] Investigate and resolve interference issues;

[0329] Adjust antenna parameters;

[0330] Adjust the antenna position.

[0331] Optionally, in the network service device, the processor 520 is further configured to:

[0332] Obtain an interference detection measurement request sent by the wireless data analysis unit; wherein, the interference detection measurement request includes the measurement object, measurement configuration, and reporting configuration;

[0333] The measurement object is measured according to the measurement configuration to obtain interference detection measurement information, and the interference detection measurement information is reported according to the reporting configuration.

[0334] Optionally, the network service equipment wherein the measurement object includes at least one of the base station to be measured, the cell indicated by the cell identifier list, and the measurement content.

[0335] Optionally, in the network service device, the measurement content includes at least one of the following: user air interface transmission quality information of the scheduled user, physical resource block (PRB) resource scheduling status of the serving cell, PRB resource scheduling status of neighboring cells, modulation and coding scheme of the scheduled user, retransmission indication information corresponding to the scheduled user, and index of measurement reference signal.

[0336] Optionally, in the network service device, the user air interface transmission quality information includes at least one of the following:

[0337] Signal quality of the serving cell and / or neighboring cells;

[0338] Signal strength of the serving cell and / or neighboring cells;

[0339] Signal-to-interference-plus-noise ratio of the serving cell and / or neighboring cells.

[0340] Optionally, in the network service device, the Physical Resource Block (PRB) resource scheduling status of the serving cell and the PRB resource scheduling status of neighboring cells each include at least one of the following:

[0341] PRB resource usage information;

[0342] PRB resource scheduling status information for the scheduled user.

[0343] Optionally, in the network service device, the measurement configuration includes at least one of a measurement start time, a measurement end time, a measurement trigger event, and a measurement sampling period.

[0344] Optionally, in the network service device, the interference detection and measurement information further includes at least one of the following: load information of the serving cell, load information of neighboring cells, and user distribution information.

[0345] Optionally, in the network service device, the reporting configuration includes at least one of reporting trigger conditions, reporting time, and reporting period.

[0346] Optionally, in the network service device, the measurement trigger event includes at least one of the following:

[0347] The user was dispatched;

[0348] The SINR of users at the edge of the cell is lower than the first preset threshold;

[0349] At least one of the cell's modulation and coding scheme and data rate is lower than a second preset threshold;

[0350] At least one of the modulation and coding scheme and data rate of edge users in the cell is lower than a third preset threshold;

[0351] The cell's packet loss rate, retransmission count, and user plane latency are all above the fourth preset threshold.

[0352] At least one of the following for edge users in the cell—packet loss rate, number of retransmissions, and user plane latency—is higher than the fifth preset threshold.

[0353] This invention also provides an interference analysis device applied to a wireless data analysis unit, such as... Figure 6 As shown, the device includes:

[0354] The first information acquisition module 610 is used to acquire interference detection measurement information; wherein, the interference detection measurement information includes user air interface transmission quality information;

[0355] The generation module 620 is used to perform correlation processing on the interference detection and measurement information to generate an interference intensity analysis dataset;

[0356] Analysis module 630 is used to analyze the interference intensity analysis dataset to obtain the interfering cells and the interference intensity parameters of the interfering cells under different network load conditions;

[0357] The sending module 640 is used to send network scheduling strategy information to the network service unit according to the interfering cell and the interference intensity parameter.

[0358] Optionally, in the interference analysis device, the interference detection and measurement information further includes at least one of the following: load information of the serving cell, load information of neighboring cells, and user distribution information.

[0359] Optionally, in the interference analysis device, the transmitting module 640 is further configured to:

[0360] Send an interference detection and measurement request to the base station;

[0361] The interference detection measurement request includes a measurement object, a measurement configuration, and a reporting configuration. The base station measures the measurement object according to the measurement configuration to obtain the interference detection measurement information, and reports the interference detection measurement information according to the reporting configuration.

[0362] Optionally, in the interference analysis apparatus, the measurement object includes at least one of the base station to be measured, the cell indicated by the cell identifier list, and the measurement content.

[0363] Optionally, in the interference analysis device, the measurement content includes at least one of the following: user air interface transmission quality information of the scheduled user, physical resource block (PRB) resource scheduling status of the serving cell, PRB resource scheduling status of neighboring cells, modulation and coding scheme of the scheduled user, retransmission indication information corresponding to the scheduled user, and index of measurement reference signal.

[0364] Optionally, in the interference analysis apparatus, the user air interface transmission quality information includes at least one of the following:

[0365] Signal quality of the serving cell and / or neighboring cells;

[0366] Signal strength of the serving cell and / or neighboring cells;

[0367] Signal-to-interference-plus-noise ratio of the serving cell and / or neighboring cells.

[0368] Optionally, in the interference analysis device, the Physical Resource Block (PRB) resource scheduling status of the serving cell and the PRB resource scheduling status of neighboring cells each include at least one of the following:

[0369] PRB resource usage information;

[0370] PRB resource scheduling status information for the scheduled user.

[0371] Optionally, in the interference analysis apparatus, the measurement configuration includes at least one of a measurement start time, a measurement end time, a measurement trigger event, and a measurement sampling period.

[0372] Optionally, in the interference analysis device, the reporting configuration includes at least one of reporting trigger conditions, reporting time, and reporting period.

[0373] Optionally, in the interference analysis apparatus, the measurement trigger event includes at least one of the following:

[0374] The user was dispatched;

[0375] The SINR of users at the edge of the cell is lower than the first preset threshold;

[0376] At least one of the cell's modulation and coding scheme and data rate is lower than a second preset threshold;

[0377] At least one of the modulation and coding scheme and data rate of edge users in the cell is lower than a third preset threshold;

[0378] The cell's packet loss rate, retransmission count, and user plane latency are all above the fourth preset threshold.

[0379] At least one of the following for edge users in the cell—packet loss rate, number of retransmissions, and user plane latency—is higher than the fifth preset threshold.

[0380] Optionally, in the interference analysis device, the interference detection measurement information further includes at least one of the following: the identification information of the measurement object, the measurement timestamp, the user location information, and the beam identifier of the accessed beam.

[0381] Optionally, in the interference analysis device, the generation module 620 performs correlation processing on the interference detection and measurement information to generate an interference intensity analysis dataset, including:

[0382] Based on the index information in the interference detection measurement information, the interference detection measurement information is clustered to generate an interference intensity analysis dataset;

[0383] The interference intensity analysis dataset includes multiple raster recording units, each of which includes a raster unit identifier and corresponding interference detection measurement information, wherein the raster unit identifier is associated with the index information.

[0384] Optionally, in the interference analysis device, the index information includes at least one of user location information, timestamp, cell identifier, user identifier, beam index, RSRP of the serving cell, and RSRP of neighboring cells.

[0385] Optionally, in the interference analysis device, each of the grid recording units is used to record interference detection measurement information corresponding to a target user at a target time unit.

[0386] Optionally, in the interference analysis apparatus, the target time unit includes one of the following:

[0387] Absolute time;

[0388] Frame number, subframe number, and time slot number.

[0389] Optionally, in the interference analysis device, the interference intensity parameter includes at least one of interference intensity ranking information and interference intensity identifier.

[0390] Optionally, in the interference analysis device, the analysis module 630 analyzes the interference intensity analysis dataset to obtain interfering cells under different network load conditions and the interference intensity parameters of the interfering cells, including:

[0391] By analyzing the interference intensity analysis dataset, the interfering cells under different network load conditions and the interference intensity factors of the interfering cells are obtained;

[0392] The interfering cells are sorted according to the interference intensity factor to obtain the interference intensity sorting information;

[0393] Based on the interference intensity factor and the preset interference intensity threshold, the interference intensity identifier corresponding to each interference cell is determined.

[0394] Optionally, in the interference analysis device, the network scheduling strategy information includes network interference analysis results and / or network optimization strategy information.

[0395] Optionally, in the interference analysis device, the network interference analysis result information includes interference intensity parameters.

[0396] Optionally, in the interference analysis apparatus, the network optimization strategy information includes at least one of the following:

[0397] The first neighbor cell list is used to provide status indication information, load occupancy status and / or load prediction status related to inter-cell interference.

[0398] Interference-related state information interaction strategies;

[0399] Resource allocation strategy.

[0400] Optionally, in the interference analysis device, the analysis module 630 analyzes the interference intensity analysis dataset to obtain the interference intensity factor of the interfering cell under different network load conditions, including:

[0401] For different serving cells and their corresponding neighboring cells, the interference intensity factor of the neighboring cells under different load conditions is calculated.

[0402] Optionally, the interference analysis device calculates the interference intensity factor under different load conditions for different serving cells and corresponding neighboring cells, including:

[0403] The load status of the serving cell and its corresponding neighboring cells is discretized to obtain discretized status data;

[0404] Based on the PRB resource allocation status of the serving cell, the PRB resource allocation status of neighboring cells, and the interference intensity analysis dataset, the interference intensity factor of the neighboring cells under each load condition is calculated.

[0405] Optionally, the interference analysis apparatus, wherein the network service unit includes at least one of the following:

[0406] Serving the community;

[0407] Serving the neighboring areas of the community;

[0408] Network management functional unit.

[0409] This invention also provides an interference analysis device applied to a network service unit, such as... Figure 7 As shown, the device includes:

[0410] The second information acquisition module 710, wherein the network scheduling strategy information is obtained based on interference detection measurement information, and the interference detection measurement information includes user air interface transmission quality information.

[0411] The scheduling module 720 is used to perform network and / or resource scheduling based on the network scheduling policy information.

[0412] Optionally, in the interference analysis device, the network scheduling strategy information includes network interference analysis results and / or network optimization strategy information.

[0413] Optionally, in the interference analysis device, the network interference analysis result information includes interference intensity parameters.

[0414] Optionally, in the interference analysis apparatus, the network optimization strategy information includes at least one of the following:

[0415] The first neighbor cell list is used to provide status indication information, load occupancy status and / or load prediction status related to inter-cell interference.

[0416] Interference-related state information interaction strategies;

[0417] Resource allocation strategy.

[0418] Optionally, in the interference analysis device, the scheduling module 720 performs network and / or resource scheduling based on the network scheduling policy information, including at least one of the following:

[0419] Adjust the transmission power;

[0420] Adjust PRB resource allocation;

[0421] Investigate and resolve interference issues;

[0422] Adjust antenna parameters;

[0423] Adjust the antenna position.

[0424] Optionally, in the interference analysis device, the second information acquisition module 710 is further configured to:

[0425] Obtain an interference detection measurement request sent by the wireless data analysis unit; wherein, the interference detection measurement request includes the measurement object, measurement configuration, and reporting configuration;

[0426] The measurement object is measured according to the measurement configuration to obtain interference detection measurement information, and the interference detection measurement information is reported according to the reporting configuration.

[0427] Optionally, in the interference analysis apparatus, the measurement object includes at least one of the base station to be measured, the cell indicated by the cell identifier list, and the measurement content.

[0428] Optionally, in the interference analysis device, the measurement content includes at least one of the following: user air interface transmission quality information of the scheduled user, physical resource block (PRB) resource scheduling status of the serving cell, and PRB resource scheduling status of neighboring cells.

[0429] Optionally, in the interference analysis apparatus, the user air interface transmission quality information includes at least one of the following:

[0430] Signal quality of the serving cell and / or neighboring cells;

[0431] Signal strength of the serving cell and / or neighboring cells;

[0432] Signal-to-interference-plus-noise ratio of the serving cell and / or neighboring cells;

[0433] The modulation and coding scheme of the scheduled user;

[0434] Retransmission indication information corresponding to the scheduled user;

[0435] The index of the measurement reference signal. Optionally, in the interference analysis apparatus, the Physical Resource Block (PRB) resource scheduling status of the serving cell and the PRB resource scheduling status of neighboring cells each include at least one of the following:

[0436] PRB resource usage information;

[0437] PRB resource scheduling status information for the scheduled user.

[0438] Optionally, in the interference analysis apparatus, the measurement configuration includes at least one of a measurement start time, a measurement end time, a measurement trigger event, and a measurement sampling period.

[0439] Optionally, in the interference analysis device, the interference detection and measurement information further includes at least one of the following: load information of the serving cell, load information of neighboring cells, and user distribution information.

[0440] Optionally, in the interference analysis device, the reporting configuration includes at least one of reporting trigger conditions, reporting time, and reporting period.

[0441] Optionally, in the interference analysis apparatus, the measurement trigger event includes at least one of the following:

[0442] The user was dispatched;

[0443] The SINR of users at the edge of the cell is lower than the first preset threshold;

[0444] At least one of the cell's modulation and coding scheme and data rate is lower than a second preset threshold;

[0445] At least one of the modulation and coding scheme and data rate of edge users in the cell is lower than a third preset threshold;

[0446] The cell's packet loss rate, retransmission count, and user plane latency are all above the fourth preset threshold.

[0447] At least one of the following for edge users in the cell—packet loss rate, number of retransmissions, and user plane latency—is higher than the fifth preset threshold.

[0448] This invention also provides a network device, including: a processor, a memory, and a program stored in the memory and executable on the processor, wherein the program, when executed by the processor, implements the interference analysis method as described in any of the preceding embodiments.

[0449] Specifically, the network is configured as a wireless data analysis unit or network service unit that performs the above-mentioned interference analysis method. The interference analysis method implemented when the specific program is executed by the processor is as described above, and will not be described in detail here.

[0450] In addition, specific embodiments of the present invention also provide a readable storage medium having a program stored thereon, wherein the program, when executed by a processor, implements the steps of the interference analysis method as described above.

[0451] Specifically, the computer-readable storage medium is applied to the aforementioned wireless data analysis unit or network service unit. When applied to the wireless data analysis unit or network service unit, the execution steps in the corresponding interference analysis method are described in detail above, and will not be repeated here.

[0452] In the several embodiments provided in this application, it should be understood that the disclosed methods and apparatus can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0453] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can be physically comprised separately, or two or more units can be integrated into one unit. The integrated unit described above can be implemented in hardware or in the form of hardware plus software functional units.

[0454] The integrated units implemented as software functional units described above can be stored in a computer-readable storage medium. These software functional units, stored in a storage medium, include several instructions that cause a computer device (which may be a personal computer, server, or network device, etc.) to execute some steps of the transmission and reception methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0455] The above describes the preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. An interference analysis method, applied to a wireless data analysis unit, characterized in that, The method includes: Obtain interference detection measurement information; wherein the interference detection measurement information includes user air interface transmission quality information; wherein the interference detection measurement information also includes at least one of the load information of the serving cell and the load information of neighboring cells; The interference detection and measurement information is correlated to generate an interference intensity analysis dataset; Analyze the interference intensity analysis dataset to obtain interfering cells and interference intensity parameters of the interfering cells under different network load conditions; the interference intensity parameters include at least one of interference intensity ranking information and interference intensity identifier; Based on the interfering cell and the interference intensity parameter, network scheduling strategy information is sent to the network service unit; the network service unit includes a base station or a network management function unit; the network scheduling strategy information includes network interference analysis result information and / or network optimization strategy information; the network interference analysis result information includes interference intensity parameters; The interference detection and measurement information is correlated to generate an interference intensity analysis dataset, including: Based on the index information in the interference detection measurement information, the interference detection measurement information is clustered to generate an interference intensity analysis dataset; the index information includes user location information.

2. The interference analysis method according to claim 1, characterized in that, The interference detection and measurement information also includes user distribution information.

3. The interference analysis method according to claim 1 or 2, characterized in that, The method further includes: Send an interference detection and measurement request to the base station; The interference detection measurement request includes a measurement object, a measurement configuration, and a reporting configuration. The base station measures the measurement object according to the measurement configuration to obtain the interference detection measurement information, and reports the interference detection measurement information according to the reporting configuration.

4. The interference analysis method according to claim 3, characterized in that, The measurement objects include at least one of the base stations to be measured, the cells indicated by the cell identifier list, and the measurement content.

5. The interference analysis method according to claim 4, characterized in that, The measurement content includes at least one of the following: user air interface transmission quality information of the scheduled user, physical resource block (PRB) resource scheduling status of the serving cell, PRB resource scheduling status of neighboring cells, modulation and coding scheme of the scheduled user, retransmission indication information corresponding to the scheduled user, and index of measurement reference signal.

6. The interference analysis method according to claim 5, characterized in that, The user air interface transmission quality information includes at least one of the following: Signal quality of the serving cell and / or neighboring cells; Signal strength of the serving cell and / or neighboring cells; Signal-to-interference-plus-noise ratio of the serving cell and / or neighboring cells.

7. The interference analysis method according to claim 5, characterized in that, The PRB resource scheduling status of the serving cell and the PRB resource scheduling status of neighboring cells each include at least one of the following: PRB resource usage information; PRB resource scheduling status information for the scheduled user.

8. The interference analysis method according to claim 3, characterized in that, The measurement configuration includes at least one of the following: measurement start time, measurement end time, measurement trigger event, and measurement sampling period.

9. The interference analysis method according to claim 3, characterized in that, The reporting configuration includes at least one of the following: reporting trigger conditions, reporting time, and reporting period.

10. The interference analysis method according to claim 8, characterized in that, The measurement triggering event includes at least one of the following: The user was dispatched; The SINR of users at the edge of the cell is lower than the first preset threshold; At least one of the cell's modulation and coding scheme and data rate is lower than a second preset threshold; At least one of the modulation and coding scheme and data rate of edge users in the cell is lower than a third preset threshold; The cell's packet loss rate, retransmission count, and user plane latency are all above the fourth preset threshold. At least one of the following for edge users in the cell—packet loss rate, number of retransmissions, and user plane latency—is higher than the fifth preset threshold.

11. The interference analysis method according to claim 3, characterized in that, The interference detection measurement information also includes at least one of the following: the identification information of the measurement object, the measurement timestamp, the user location information, and the beam identifier of the accessed beam.

12. The interference analysis method according to claim 1, characterized in that, The interference intensity analysis dataset includes multiple raster recording units, each of which includes a raster unit identifier and corresponding interference detection measurement information, wherein the raster unit identifier is associated with the index information.

13. The interference analysis method according to claim 1, characterized in that, The index information also includes at least one of the following: timestamp, cell identifier, user identifier, beam index, RSRP of the serving cell, and RSRP of neighboring cells.

14. The interference analysis method according to claim 12, characterized in that, Each of the grid recording units is used to record interference detection measurement information for a corresponding target user at a target time unit.

15. The interference analysis method according to claim 14, characterized in that, The target time unit includes one of the following: Absolute time; Frame number, subframe number, and time slot number.

16. The interference analysis method according to claim 1, characterized in that, Analyzing the interference intensity analysis dataset, we obtain interfering cells and their interference intensity parameters under different network load conditions, including: By analyzing the interference intensity analysis dataset, the interfering cells under different network load conditions and the interference intensity factors of the interfering cells are obtained; The interfering cells are sorted according to the interference intensity factor to obtain the interference intensity sorting information; Based on the interference intensity factor and the preset interference intensity threshold, the interference intensity identifier corresponding to each interference cell is determined.

17. The interference analysis method according to claim 1, characterized in that, The network optimization strategy information includes at least one of the following: The first neighbor cell list is used to provide status indication information, load occupancy status and / or load prediction status related to inter-cell interference. Interference-related state information interaction strategies; Resource allocation strategy.

18. The interference analysis method according to claim 16, characterized in that, Analyzing the interference intensity analysis dataset, interference intensity factors of interfering cells under different network load conditions are obtained, including: For different serving cells and their corresponding neighboring cells, the interference intensity factor of the neighboring cells under different load conditions is calculated.

19. The interference analysis method according to claim 18, characterized in that, For different serving cells and their corresponding neighboring cells, the interference intensity factor for interference under different load conditions is calculated, including: The load status of the serving cell and its corresponding neighboring cells is discretized to obtain discretized status data; Based on the PRB resource allocation status of the serving cell, the PRB resource allocation status of neighboring cells, and the interference intensity analysis dataset, the interference intensity factor of the neighboring cells under each load condition is calculated.

20. An interference analysis method applied to a network service unit, characterized in that, The method includes: The network scheduling strategy information is obtained based on interference detection and measurement information, which includes user air interface transmission quality information; the interference detection and measurement information also includes at least one of the load information of the serving cell and the load information of neighboring cells; the network service unit includes a base station or a network management function unit; the network scheduling strategy information includes network interference analysis result information and / or network optimization strategy information; the network interference analysis result information includes interference strength parameters; the interference strength parameters include at least one of interference strength ranking information and interference strength identifier; Based on the network scheduling policy information, network and / or resource scheduling is performed.

21. The interference analysis method according to claim 20, characterized in that, Based on the network scheduling policy information, network and / or resource scheduling is performed, including at least one of the following: Adjust the transmission power; Adjust PRB resource allocation; Investigate and resolve interference issues; Adjust antenna parameters; Adjust the antenna position.

22. The interference analysis method according to claim 20, characterized in that, The method further includes: Obtain an interference detection measurement request sent by the wireless data analysis unit; wherein, the interference detection measurement request includes the measurement object, measurement configuration, and reporting configuration; The measurement object is measured according to the measurement configuration to obtain interference detection measurement information, and the interference detection measurement information is reported according to the reporting configuration.

23. The interference analysis method according to claim 22, characterized in that, The measurement objects include at least one of the base stations to be measured, the cells indicated by the cell identifier list, and the measurement content.

24. The interference analysis method according to claim 22, characterized in that, The measurement configuration includes at least one of the following: measurement start time, measurement end time, measurement trigger event, and measurement sampling period.

25. The interference analysis method according to claim 20, characterized in that, The interference detection and measurement information also includes user distribution information.

26. An analysis device, comprising a transceiver and a processor, characterized in that: The transceiver is used to acquire interference detection measurement information; wherein the interference detection measurement information includes user air interface transmission quality information; wherein the interference detection measurement information also includes at least one of the load information of the serving cell and the load information of neighboring cells; The processor is configured to perform correlation processing on the interference detection measurement information to generate an interference intensity analysis dataset; and Analyze the interference intensity analysis dataset to obtain the interfering cells and their interference intensity parameters under different network load conditions; The transceiver is further configured to send network scheduling strategy information to a network service unit based on the interfering cell and the interference intensity parameter; the network service unit includes a base station or a network management function unit; the network scheduling strategy information includes network interference analysis result information and / or network optimization strategy information; the network interference analysis result information includes interference intensity parameters; The processor performs correlation processing on the interference detection and measurement information to generate an interference intensity analysis dataset, including: Based on the index information in the interference detection measurement information, the interference detection measurement information is clustered to generate an interference intensity analysis dataset; the index information includes user location information; the interference intensity parameters include at least one of interference intensity ranking information and interference intensity identifier.

27. A network service device, comprising a transceiver and a processor, characterized in that: The transceiver is used to acquire network scheduling policy information; wherein the network scheduling policy information is obtained based on interference detection measurement information, and the interference detection measurement information includes user air interface transmission quality information; the interference detection measurement information also includes at least one of the load information of the serving cell and the load information of neighboring cells; the network service equipment includes a base station or a network management function unit; the network scheduling policy information includes network interference analysis result information and / or network optimization policy information; the network interference analysis result information includes interference strength parameters; the interference strength parameters include at least one of interference strength ranking information and interference strength identifier; The processor is used to perform network and / or resource scheduling based on the network scheduling policy information.

28. An interference analysis device, applied to a wireless data analysis unit, characterized in that, The device includes: The first information acquisition module is used to acquire interference detection measurement information; wherein, the interference detection measurement information includes user air interface transmission quality information; wherein, the interference detection measurement information also includes at least one of the load information of the serving cell and the load information of neighboring cells; The generation module is used to perform correlation processing on the interference detection and measurement information to generate an interference intensity analysis dataset; The analysis module is used to analyze the interference intensity analysis dataset to obtain the interfering cells and the interference intensity parameters of the interfering cells under different network load conditions. The transmitting module is configured to send network scheduling strategy information to a network service unit based on the interfering cell and the interference intensity parameter; the network service unit includes a base station or a network management function unit; the network scheduling strategy information includes network interference analysis result information and / or network optimization strategy information; the network interference analysis result information includes interference intensity parameters; The interference detection and measurement information is correlated to generate an interference intensity analysis dataset, including: Based on the index information in the interference detection measurement information, the interference detection measurement information is clustered to generate an interference intensity analysis dataset; the index information includes user location information; the interference intensity parameters include at least one of interference intensity ranking information and interference intensity identifier.

29. An interference analysis device, applied to a network service unit, characterized in that, The device includes: The second information acquisition module is used to acquire network scheduling strategy information; wherein the network scheduling strategy information is obtained based on interference detection measurement information, and the interference detection measurement information includes user air interface transmission quality information; the interference detection measurement information also includes at least one of the load information of the serving cell and the load information of neighboring cells; the network service unit includes a base station or a network management function unit; the network scheduling strategy information includes network interference analysis result information and / or network optimization strategy information; the network interference analysis result information includes interference strength parameters; the interference strength parameters include at least one of interference strength ranking information and interference strength identifier; The scheduling module is used to perform network and / or resource scheduling based on the network scheduling policy information.

30. A network device, characterized in that, include: A processor, a memory, and a program stored in the memory and executable on the processor, wherein the program, when executed by the processor, implements the interference analysis method as described in any one of claims 1 to 19, or implements the interference analysis method as described in any one of claims 20 to 25.

31. A readable storage medium, characterized in that, The readable storage medium stores a program that, when executed by a processor, implements the steps of the interference analysis method as described in any one of claims 1 to 19, or implements the steps of the interference analysis method as described in any one of claims 20 to 25.

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