Cell reselection method, network management equipment, base station and storage medium

Abstract

Embodiments of the present invention provide a cell reselection method, network management equipment, base station, and storage medium, all belonging to the field of wireless communications. The method includes: obtaining multiple historical Minimization of Drive Tests (MDT) data sets for the serving cell of a target user equipment (UE); clustering the multiple historical MDT data sets to obtain multiple target MDT data sets; and reselecting the serving cell of the target UE based on the multiple target MDT data sets. The technical solutions of the embodiments of the present invention significantly improve the effectiveness of cell reselection for UEs and avoid invalid handovers of UE cells.

Description

Technical Field

[0001] The embodiments of the present invention relate to the field of wireless communication technology, and in particular to a cell reselection method, network management equipment, base station and storage medium. Background Art

[0002] Mobility Load Balancing (MLB) is a relatively important technology in Self-Organizing Networks (SON). It can solve the problem of load imbalance between base stations, optimize cell reselection and switching parameters, and adjust the service load of cells. Existing load balancing methods first screen user equipment (UE) and cells that are not suitable for balancing, such as first screening test equipment and cells with high loads, then sorting the screened UEs and cells, and then matching and switching the sorted UEs and cells. This load balancing method cannot guarantee the network quality of the user equipment after switching. It may happen that the load of the cell after switching is low, but the coverage of the cell is poor or there is no coverage. That is, the user equipment after switching may experience weak coverage, affecting the use of the user equipment. Summary of the Invention

[0003] The main purpose of the embodiments of the present invention is to provide a cell reselection method, network management equipment, base station and storage medium, aiming to improve the accuracy of cell reselection of user equipment and avoid invalid selection of serving cells.

[0004] In a first aspect, an embodiment of the present invention provides a cell reselection method, including:

[0005] Acquire multiple historical Minimization of Drive Tests (MDT) data of the serving cell where the target user equipment is located;

[0006] performing clustering processing on the plurality of historical MDT data to obtain a plurality of target MDT data sets;

[0007] Reselect a serving cell of the target user equipment according to the multiple target MDT data sets.

[0008] In a second aspect, an embodiment of the present invention provides a cell reselection method, including:

[0009] Acquire multiple target MDT data sets sent by a network management device, wherein the multiple target MDT data sets are obtained by the network management device by clustering multiple historical MDT data of a serving cell where the target user equipment is located;

[0010] Current MDT data reported by the target user equipment is acquired, and a serving cell of the target user equipment is reselected according to the multiple target MDT data sets and the current MDT data.

[0011] In a third aspect, an embodiment of the present invention further provides a network management device, comprising a processor, a memory, a computer program stored on the memory and executable by the processor, and a data bus for realizing connection and communication between the processor and the memory, wherein when the computer program is executed by the processor, the steps of any cell reselection method provided in the embodiment of the present invention are implemented.

[0012] In a fourth aspect, an embodiment of the present invention further provides a base station, comprising a processor, a memory, a computer program stored on the memory and executable by the processor, and a data bus for realizing connection and communication between the processor and the memory, wherein when the computer program is executed by the processor, the steps of any cell reselection method provided in the embodiment of the present invention are implemented.

[0013] In a fifth aspect, an embodiment of the present invention further provides a storage medium for computer-readable storage, characterized in that the storage medium stores one or more programs, and the one or more programs can be executed by one or more processors to implement the steps of any cell reselection method provided in an embodiment of the present invention.

[0014] Embodiments of the present invention provide a cell reselection method, network management equipment, base station, and storage medium. The embodiments of the present invention obtain multiple historical Minimization of Drive Tests (MDT) data of a serving cell where a target user equipment is located, cluster the multiple historical MDT data to obtain multiple target MDT data sets, and then reselect the serving cell of the target user equipment based on the multiple target MDT data sets. This greatly improves the effectiveness of the reselected serving cell, avoids invalid selection and switching of the serving cell of the user equipment, ensures network coverage of the reselected serving cell, and improves user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 A schematic diagram of a flow chart of a cell reselection method provided in an embodiment of the present invention;

[0016] Figure 2 for Figure 1 A schematic flow chart of sub-steps of the cell reselection method in FIG.

[0017] Figure 3 A schematic diagram of a scenario for implementing the cell reselection method provided in an embodiment of the present invention;

[0018] Figure 4A schematic diagram of a flow chart of another cell reselection method provided by an embodiment of the present invention;

[0019] Figure 5 for Figure 4 A schematic flow chart of sub-steps of the cell reselection method in FIG.

[0020] Figure 6 A schematic block diagram of the structure of a network management device provided in an embodiment of the present invention;

[0021] Figure 7 A schematic block diagram of the structure of a base station provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0022] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0023] The flowcharts shown in the accompanying drawings are for illustrative purposes only and do not necessarily include all contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps may be decomposed, combined, or partially merged, so the actual execution order may vary depending on the actual situation.

[0024] It should be understood that the terms used in this specification are only for the purpose of describing particular embodiments and are not intended to limit the present invention. As used in the specification and appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms unless the context clearly indicates otherwise.

[0025] Embodiments of the present invention provide a cell reselection method, network management equipment, base station, and storage medium. The cell reselection method can be applied to a network management device or base station. The network management device is required for network management and its configuration should meet all network management requirements. The network management device includes network management units for each node, as well as equipment and corresponding software in a network management center. It can plan, control, and monitor networks in industrial environments, ensuring normal network operation. In some examples, the network management device can include hardware components such as routers and switches that embed network management protocols, and software components such as a network management system (NMS) and network management software.

[0026] The following embodiments of the present invention are described in detail with reference to the accompanying drawings. In the absence of conflict, the following embodiments and features in the embodiments may be combined with each other.

[0027] Please refer to Figure 1 , Figure 1 A schematic diagram of a flow chart of a cell reselection method provided by an embodiment of the present invention.

[0028] like Figure 1 As shown, the cell reselection method includes steps S101 to S103.

[0029] Step S101: Acquire multiple historical Minimization of Drive Tests (MDT) data of a serving cell where a target user equipment is located.

[0030] For example, when a user equipment (UE) moves from the coverage area of ​​its current cell to the coverage area of ​​another cell, a cell handover is required to ensure uninterrupted communication. For another example, when the load on user equipment (UE) connected to a cell is high, a cell handover is required for some of the user equipment connected to that cell to improve the overall network capacity. Before a cell handover is performed on the user equipment, the user equipment's serving cell must be reselected. This means that the target cell for the user equipment to be handed off must be determined before the user equipment can be handed off.

[0031] In one embodiment, the network management device sends an MDT data acquisition request to the base station at predetermined intervals to obtain MDT data of user equipment within each cell of the base station, and stores the acquired MDT data in the cloud. When the network management device receives a cell reselection request (or cell handover request) from a target user equipment, it determines the current serving cell of the target user equipment and retrieves historical MDT data of multiple user equipment in the current serving cell stored in the cloud to obtain multiple historical minimization of drive tests (MDT) data for the serving cell of the target user equipment.

[0032] In one embodiment, a base station sends a cell reselection request (or cell handover request) of a target user equipment to a network management device. When the network management device receives the cell reselection request (or cell handover request) of the target user equipment sent by the base station, the network management device collects MDT data of multiple user equipment in the serving cell where the target user equipment is located from the base station until the amount of collected MDT data of the user equipment reaches a preset amount, thereby obtaining multiple historical minimization of drive test (MDT) data of the serving cell where the target user equipment is located. The target user equipment is the user equipment to be reselected (or the user equipment to be handed over).

[0033] In one embodiment, when a base station determines that a serving cell of a target user equipment needs to be handed over, the base station sends a target MDT data set acquisition request for the serving cell to a network management device. Based on the received target MDT data set acquisition request for the serving cell, the network management device acquires MDT data of multiple user equipment in the serving cell from the base station, obtaining multiple historical Minimization of Drive Tests (MDT) data for the serving cell where the target user equipment is located. The network management device clusters the multiple historical MDT data to obtain multiple target MDT data sets for the serving cell. The network management device then transmits the multiple clustered target MDT data sets for the serving cell back to the base station, so that the base station can perform a cell reselection operation for the target user equipment based on the multiple target MDT data sets.

[0034] Step S102: clustering is performed on the plurality of historical MDT data to obtain a plurality of target MDT data sets.

[0035] After the network management device obtains multiple historical MDT data, it clusters the multiple historical MDT data to obtain multiple target MDT data sets. It should be noted that the embodiments of the present invention do not specifically limit the clustering methods related to clustering processing. Optionally, clustering methods include partitioning methods, hierarchical methods, density-based methods, grid-based methods, model-based methods, etc. In some embodiments, clustering algorithms include K-Means clustering algorithm, Gaussian mixture model (GMM) maximum expectation (EM) clustering algorithm, and graph community detection clustering algorithm.

[0036] In one embodiment, if Figure 2 As shown, step S102 includes: sub-step S1021 to sub-step S1022.

[0037] Sub-step S1021 : performing initial clustering on a plurality of historical MDT data to obtain a plurality of candidate MDT data sets.

[0038] In one embodiment, multiple historical MDT data are grouped based on the co-frequency neighbor cell identifier in each historical MDT data to obtain multiple MDT data sets; and a clustering operation is performed on the MDT data in each MDT data set to obtain multiple candidate MDT data sets. The co-frequency neighbor cell identifier is the identifier of the co-frequency neighbor cell of the serving cell. It should be noted that grouping multiple historical MDT data based on the co-frequency neighbor cell identifier can group historical MDT data that carry the same co-frequency neighbor cell identifier, thereby obtaining multiple MDT data sets. Clustering operations are then performed on the MDT data with the same co-frequency neighbor cell identifier in each MDT data set, so that the MDT data in each MDT data set are clustered into multiple data blocks, thereby obtaining multiple candidate MDT data sets.

[0039] In one embodiment, when the number of historical MDT data exceeds a threshold, a portion of the historical MDT data is filtered out from the historical MDT data according to a preset ratio as sample data. The sample data is then grouped based on the co-frequency neighbor cell identifier in each sample data to generate multiple MDT data sets. It should be noted that the preset ratio can be set based on actual circumstances, for example, based on the number of historical MDT data sets. By filtering the historical MDT data, the amount of data that network management devices must process can be significantly reduced, accelerating the generation and clustering of MDT data sets.

[0040] In one embodiment, the co-frequency neighbor cell identifier includes a first co-frequency neighbor cell identifier and a second co-frequency neighbor cell identifier. For example, the first co-frequency neighbor cell identifier is the identifier of the strongest co-frequency neighbor cell of the serving cell, and the second co-frequency neighbor cell identifier is the identifier of the second strongest co-frequency neighbor cell of the serving cell. It should be noted that, by grouping multiple historical MDT data according to the first co-frequency neighbor cell identifier and the second co-frequency neighbor cell identifier in each historical MDT data set to obtain multiple MDT data sets, and then performing a clustering operation on the MDT data in each MDT data set, the MDT data in each clustered candidate MDT data set can be made more consistent, which facilitates subsequent target cell reselection.

[0041] Illustratively, the structure of each candidate MDT data set is shown in Table 1.

[0042] Table 1

[0043]

[0044] In one embodiment, clustering operation is performed on the MDT data in each MDT data set to obtain multiple candidate MDT data sets, including: obtaining a triplet of MDT data in each MDT data set, wherein the triplet consists of a reference signal received power (RSRP) value of a serving cell, an RSRP value of a first co-frequency neighboring cell, and an RSRP value of a second co-frequency neighboring cell in the MDT data; performing a clustering operation on the triplet in each MDT data set to obtain multiple triplet sets; determining MDT data corresponding to each triplet set to obtain multiple clustered MDT data sets; and aggregating the MDT data in each clustered MDT data set to obtain multiple candidate MDT data sets.

[0045] Exemplarily, according to a preset number of cluster centers, K, a clustering operation is performed on the triplets in N MDT data sets, so that each MDT data set generates K triple sets, resulting in N*K triple sets. The MDT data corresponding to each triple set is determined to obtain N*K clustered MDT data sets; the MDT data in each clustered MDT data set is aggregated to obtain N*K candidate MDT data sets. Each MDT data set corresponds to K candidate MDT data sets. For example, when the preset number of cluster centers, K, is 10, that is, 10 triple sets are generated in each MDT data set, each MDT data set corresponds to 10 candidate MDT data sets. An example of 10 candidate MDT data sets generated by one MDT data aggregation is shown in Table 2.

[0046] Table 2

[0047]

[0048] Sub-step S1022: performing secondary clustering on the multiple candidate MDT data sets to obtain multiple target MDT data sets.

[0049] It should be noted that the number of candidate MDT data sets obtained through the initial clustering is large, and secondary clustering is required to reduce the number of candidate MDT data sets so that the target MDT data sets generated through the secondary clustering are better divided.

[0050] In one embodiment, a queue of multiple candidate MDT data sets is established, and one candidate MDT data set is selected from the queue in sequence as a first MDT data set to be merged; it is determined whether a second MDT data set that can be merged with the first MDT data set exists in the queue; when it is determined that the second MDT data set exists in the queue, the first MDT data set is merged with the second MDT data set to obtain a new first MDT data set; it is determined whether a second MDT data set that can be merged with the new first MDT data set exists in the queue; when it is determined that the second MDT data set that can be merged with the new first MDT data set does not exist in the queue, the queue is updated according to the new first MDT data set; and the step of selecting a candidate MDT data set from the queue as the first MDT data set to be merged is performed until no candidate MDT data set that can be merged exists among the candidate MDT data sets in the queue, thereby obtaining multiple target MDT data sets.

[0051] The method for determining whether there is a second MDT data set in the queue that can be merged with the first MDT data set includes: calculating the Euclidean distance between each candidate MDT data set in the queue and the first MDT data set; taking the candidate MDT data set corresponding to the closest Euclidean distance as the closest MDT data set; determining the average of the ratios of the number of good RSRP reports in the first MDT data set and the closest MDT data set; if the average of the ratios of the number of good RSRP reports in the first MDT data set and the closest MDT data set is greater than or equal to a set average threshold, determining that the closest MDT data set is the second MDT data set that can be merged with the first MDT data set; if the average of the ratios of the number of good RSRP reports in the first MDT data set and the closest MDT data set is less than the set average threshold, determining that there is no second MDT data set in the queue that can be merged with the first MDT data set.

[0052] It should be noted that a good RSRP is an RSRP value for an inter-frequency neighboring cell whose reported RSRP value is greater than or equal to a threshold, and the good RSRP reporting ratio is the ratio of the number of good RSRP reports for the inter-frequency neighboring cell to the total number of reports. Furthermore, the Euclidean distance between each candidate MDT dataset in the queue and the first MDT dataset can be calculated using a triplet consisting of the RSRP value of the serving cell, the RSRP value of the first intra-frequency neighboring cell, and the RSRP value of the second intra-frequency neighboring cell.

[0053] For example, after the first MDT data set is selected, the queue also includes i candidate MDT data sets, the triplet is vector μ = (average RSRP of the serving cell, average RSRP of the strongest co-frequency neighboring cell, average RSRP of the second strongest co-frequency neighboring cell), and the triplet of the first MDT data set is vector μ0, then:

[0054] Euclidean distance

[0055] Recent MDT datasets Among them, d i =dist(μ,μ i ).

[0056] In one embodiment, updating a queue based on a new first MDT dataset includes: adding the new first MDT dataset to the queue and removing the merged second MDT dataset from the queue, thereby obtaining an updated queue. As in the above embodiment, after obtaining the updated queue, if a second MDT dataset that can be merged with the new first MDT dataset is determined to exist in the queue, the new first MDT dataset is merged with the second MDT dataset to obtain a new first MDT dataset. This process continues until no second MDT dataset that can be merged exists in the queue, and each dataset in the queue is output to obtain multiple target MDT datasets. Each target MDT dataset contains an index tag of a candidate MDT dataset before merging. This index tag can be used to find the merge relationship between each candidate MDT dataset before merging and the target MDT dataset.

[0057] For example, after a set of candidate MDT data sets are clustered twice, an example of a target MDT data set obtained is shown in Table 3.

[0058] Table 3

[0059]

[0060]

[0061] Step S103: reselect a serving cell of the target user equipment according to the multiple target MDT data sets.

[0062] The target MDT data set includes inter-frequency neighbor cell information, such as the number of inter-frequency neighbor cells, inter-frequency neighbor cell identifiers, inter-frequency neighbor cell RSRP average, and inter-frequency neighbor cell switching information. The network management device can select multiple candidate cells for the target user equipment based on the inter-frequency neighbor cell information in multiple target MDT data sets, and select one candidate cell from the multiple candidate cells as the serving cell for the target user equipment, so that better communication is achieved between the selected candidate cell and the target user equipment.

[0063] It should be noted that after reselecting the serving cell of the target user equipment, the current base station of the target user equipment can control the target user equipment to switch from the current cell to the reselected serving cell, thereby achieving load balancing of the cells and fully ensuring the communication quality of the target user equipment.

[0064] In one embodiment, a network management device obtains current MDT data of a target user equipment and reselects a serving cell for the target user equipment based on multiple target MDT data sets and the current MDT data. For example, the network management device receives the current MDT data reported by the target user equipment and sent by a base station. Based on the intra-frequency neighbor cell identifier carried in the current MDT data, the network management device determines a target MDT data set from multiple target MDT data sets that matches the intra-frequency neighbor cell identifier. The network management device obtains an inter-frequency neighbor cell identifier from the target MDT data set that matches the intra-frequency neighbor cell identifier to obtain an inter-frequency neighbor cell list. The network management device generates a target cell list for the target user equipment based on the inter-frequency neighbor cell list, and randomly reselects a serving cell for the target user equipment from the target cell list.

[0065] In one embodiment, a network management device sends multiple target MDT data sets to a base station, so that the base station can reselect a serving cell for the target user equipment based on the multiple target MDT data sets and the current MDT data reported by the target user equipment. For example, after receiving the multiple target MDT data sets from the network management device, the base station obtains the current MDT data reported by the target user equipment; determines a target MDT data set from the multiple target MDT data sets that matches the intra-frequency neighbor cell identifier carried in the current MDT data; obtains an inter-frequency neighbor cell identifier from the target MDT data set that matches the intra-frequency neighbor cell identifier, and obtains an inter-frequency neighbor cell list; generates a target cell list for the target user equipment based on the inter-frequency neighbor cell list, and selects a target cell with a smaller load from the target cell list as the serving cell for the target user equipment.

[0066] Please refer to Figure 3 , Figure 3 A schematic diagram of a scenario for implementing the cell reselection method provided in an embodiment of the present invention is shown as follows: Figure 3 As shown, when the base station 20 determines that the target user equipment 10 needs to reselect a cell, it sends a cell reselection request of the target user equipment 10 to the network management device 30; based on the received cell reselection request sent by the base station 20, the network management device 30 collects MDT data of multiple user equipments in the serving cell where the target user equipment 10 is located, and obtains multiple historical MDT data of the serving cell where the target user equipment 10 is located; the network management device 30 clusters the multiple historical MDT data to obtain multiple target MDT data sets, and sends the multiple target MDT data sets to the base station 20; the base station 20 reselects the serving cell of the target user equipment 10 based on the received multiple target MDT data sets.

[0067] The cell reselection method provided in the above embodiment obtains multiple historical Minimization of Drive Tests (MDT) data of the serving cell where the target user equipment is located, performs clustering processing on the multiple historical MDT data to obtain multiple target MDT data sets, and then reselects the serving cell of the target user equipment based on the multiple target MDT data sets. This greatly improves the effectiveness of the reselected serving cell, avoids invalid selection and switching of the serving cell of the user equipment, ensures the network coverage of the reselected serving cell, and improves the user experience.

[0068] Please refer to Figure 4 , Figure 4 A schematic flow chart of another cell reselection method provided in an embodiment of the present invention is applicable to a base station.

[0069] like Figure 4 As shown, the cell reselection method includes steps S201 to S202.

[0070] Step S201: Acquire multiple target MDT data sets sent by a network management device.

[0071] The multiple target MDT data sets are obtained by the network management device by clustering multiple historical MDT data of the serving cell where the target user equipment is located.

[0072] For example, the network management device sends target MDT data sets for multiple cells of the base station to the base station at preset intervals, so that the base station obtains the target MDT data set for the serving cell of the target user equipment from the target MDT data sets for multiple cells sent by the network management device. Alternatively, the network management device sends the target MDT data set for the serving cell of the target user equipment to the base station based on a cell reselection request of the target user equipment sent by the base station to the network management device. This is not specifically limited in the embodiments of the present invention.

[0073] It should be noted that the specific implementation of clustering the multiple historical MDT data of the serving cell where the target user equipment is located by the network management device can be referred to other embodiments of the specification, and will not be described in detail in this embodiment.

[0074] Step S202: Acquire current MDT data reported by the target user equipment, and reselect a serving cell of the target user equipment according to multiple target MDT data sets and the current MDT data.

[0075] Exemplarily, after receiving multiple target MDT data sets sent by the network management device, the base station obtains the current MDT data reported by the target user equipment, and determines the target MDT data set that matches the current MDT data in the multiple target MDT data sets based on the same-frequency neighbor cell identifiers carried in the multiple target MDT data sets and the current MDT data; the base station obtains at least one different-frequency neighbor cell identifier in the target MDT data set that matches the current MDT data, and obtains a different-frequency neighbor cell list; a target cell list for the target user equipment is generated through the different-frequency neighbor cell list, and the target cell with the highest switching success rate is selected from the target cell list as the serving cell of the target user equipment.

[0076] In one embodiment, if Figure 5 As shown, reselecting a serving cell of a target user equipment according to multiple target MDT data sets and current MDT data includes: sub-steps S2021 to S2024.

[0077] Sub-step S2021: Acquire the same-frequency neighbor cell identifier, the RSRP value of the serving cell, and the RSRP value of the same-frequency neighbor cell in the current MDT data.

[0078] Among them, the same-frequency neighboring area includes the first same-frequency neighboring area and / or the second same-frequency neighboring area, the same-frequency neighboring area identifier includes the first same-frequency neighboring area identifier and / or the second same-frequency neighboring area identifier, the first same-frequency neighboring area can be the same-frequency neighboring area with the strongest receiving power value of the serving cell, and the second same-frequency neighboring area can be the same-frequency neighboring area with the second strongest receiving power value of the serving cell.

[0079] Sub-step S2022: searching, according to the intra-frequency neighbor cell identifier, for a target MDT data set corresponding to the target user equipment from multiple target MDT data sets.

[0080] It should be noted that the multiple target MDT data sets are generated by the network management device through clustering of multiple historical MDT data sets for the serving cell where the target user equipment resides. When clustering the multiple historical MDT data sets, classification is required based on the co-frequency neighbor cell identifiers of the serving cells in the historical MDT data sets. Based on this, the target MDT data set corresponding to the target user equipment can be found from the multiple target MDT data sets based on the co-frequency neighbor cell identifiers in the current MDT data. This found target MDT data set corresponding to the target user equipment carries the same co-frequency neighbor cell identifier.

[0081] In one embodiment, multiple target MDT data sets are obtained by secondary clustering of multiple candidate MDT data sets by a network management device, and each target MDT data set includes at least one candidate MDT data set. Multiple candidate MDT data sets are obtained by primary clustering of multiple historical MDT data sets of a serving cell where a target user equipment is located by a network management device, and each candidate MDT data set includes at least one historical MDT data set. When performing the primary clustering of the multiple historical MDT data sets, classification is required based on the co-frequency neighbor cell identifiers of the serving cells in the historical MDT data sets. Therefore, based on the co-frequency neighbor cell identifiers in the current MDT data sets, candidate MDT data sets carrying the same co-frequency neighbor cell identifiers can be found. Then, based on the index tags between the found candidate MDT data sets and the target MDT data sets, a target MDT data set corresponding to the found candidate MDT data set can be determined, thereby determining the target MDT data set corresponding to the target user equipment.

[0082] For example, the intra-frequency neighbor cell identifiers in the current MDT data include a first intra-frequency neighbor cell identifier R1 and a second intra-frequency neighbor cell identifier R2. Based on the first intra-frequency neighbor cell identifier R1 and the second intra-frequency neighbor cell identifier R2, a candidate MDT dataset as shown in Table 2 can be found. Then, based on the index tags between the found candidate MDT dataset and the target MDT dataset, a target MDT dataset as shown in Table 3 can be determined. Examples of index tags between the candidate MDT dataset and the target MDT dataset are shown in Table 4.

[0083] Table 4

[0084]

[0085] Sub-step S2023: Determine target MDT data from a target MDT data set corresponding to the target user equipment based on the RSRP value of the serving cell and the RSRP value of the same-frequency neighboring cell.

[0086] It should be noted that when clustering multiple historical MDT data, clustering operations can be performed based on the RSRP values ​​of the serving cell and the RSRP values ​​of the co-frequency neighboring cells in the historical MDT data. For example, clustering operations can be performed on the multiple historical MDT data based on the RSRP value of the serving cell, the RSRP value of the first co-frequency neighboring cell, and the RSRP value of the second co-frequency neighboring cell that constitute the triplet. This clusters triplets with similar Euclidean distances and separates triplets with greater Euclidean distances. Each group of clustered triplets becomes a triplet set. The MDT data corresponding to each triplet in the triplet set is then replaced to obtain multiple target MDT data sets.

[0087] Similarly, based on the RSRP value of the serving cell and the RSRP value of the same-frequency neighboring cell, the Euclidean distance between each MDT data in the target MDT data set corresponding to the target user equipment and the current MDT data is determined; and the MDT data in the target MDT data set corresponding to the smallest Euclidean distance is used as the target MDT data.

[0088] It should be noted that the formula for the Euclidean distance has been described in other embodiments of this specification and will not be repeated here. The target MDT data corresponding to the minimum Euclidean distance is MDT data that is equal to or close to the RSRP value of the serving cell of the target user equipment and the RSRP value of the same-frequency neighboring cell. Based on the inter-frequency neighboring cell information in this target MDT data, the target user equipment's serving cell is reselected more effectively.

[0089] In one embodiment, based on the RSRP value of the serving cell and the RSRP value of the same-frequency neighboring cell, the Euclidean distance between each MDT data in the candidate MDT data set corresponding to the target user equipment and the current MDT data is determined; the MDT data in the candidate MDT data set corresponding to the minimum Euclidean distance is used as the candidate MDT data; and the target MDT data corresponding to the candidate MDT data is determined based on the index tag between the MDT data in the candidate MDT data set and each MDT data in the target MDT data set.

[0090] For example, a base station receives a piece of current MDT data reported by a target user equipment, in which the RSRP of the serving cell, the RSRP value of the strongest co-frequency neighboring cell, and the RSRP value of the second strongest co-frequency neighboring cell are -89.2, -140, and -140, respectively, forming a set of ternary vectors (-89.2, -140, -140). The candidate MDT data set corresponding to the current MDT data is shown in Table 2. Based on Table 2, the Euclidean distance between the current MDT data and the MDT data of each cluster label is calculated using the ternary vectors, as shown in Table 5. The cluster label corresponding to the smallest Euclidean distance is "0". According to Table 3, it can be seen that the cluster label "0" of the target MDT data set is indexed based on the cluster label "0" of the candidate MDT data set. Therefore, it can be determined that the target MDT data is the MDT data of the target MDT data set with the cluster label "0".

[0091] Table 5

[0092] Cluster labels 0 1 2 3 4 5 6 7 8 9 Euclidean distance between UE and grid 0.5 0.8 1.8 5.2 5 3.8 2.8 2.6 8 10.9

[0093] Sub-step S2024: Acquire the inter-frequency neighbor cell information carried in the target MDT data, and reselect the serving cell of the target user equipment based on the inter-frequency neighbor cell information.

[0094] Among them, the inter-frequency neighbor cell information includes the number of inter-frequency neighbor cells, inter-frequency neighbor cell identifiers, inter-frequency neighbor cell RSRP average, inter-frequency neighbor cell switching information, etc. When performing cell switching, the user equipment usually switches to the inter-frequency neighbor cell of the current serving cell.

[0095] In one embodiment, reselecting a serving cell for a target user equipment based on inter-frequency neighboring cell information includes: obtaining multiple inter-frequency neighboring cell identifiers from the inter-frequency neighboring cell information, and generating an inter-frequency neighboring cell list based on the multiple inter-frequency neighboring cell identifiers; filtering the multiple inter-frequency neighboring cells in the inter-frequency neighboring cell list based on preset conditions to obtain a candidate cell list; and selecting a candidate cell from the candidate cell list as a target cell for the target user equipment. The preset conditions include at least one of the following: the inter-frequency neighboring cell is located in the cell list of the current base station of the target user equipment, the RSRP mean of the inter-frequency neighboring cell is greater than or equal to a preset mean threshold, the good RSRP reporting ratio of the inter-frequency neighboring cell is greater than or equal to a preset reporting ratio threshold, and the handover success rate of the inter-frequency neighboring cell is greater than or equal to a preset percentage threshold.

[0096] It should be noted that the method of selecting a candidate cell from the candidate cell list includes at least one of the following: random selection, selecting the candidate cell corresponding to the largest good RSRP reporting ratio, selecting the candidate cell corresponding to the largest good RSRP average, selecting the candidate cell corresponding to the highest number of successful switching attempts, selecting the candidate cell corresponding to the highest switching success rate, and selecting the candidate cell with the smallest load.

[0097] For example, as shown in Table 3, the target MDT data is the MDT data of the target MDT data set with a cluster tag of "0". The target MDT data reports two inter-frequency neighboring cells, RA and RB. The handover success rates of RA and RB are both 100%. RA and RB constitute the candidate cell list. The number of handover successes for RA is 6940, and the number of handover successes for RB is 30632. The candidate cell RB corresponding to the highest number of handover successes is selected as the target cell of the target user equipment.

[0098] For example, as shown in Table 3, the target MDT data is the MDT data for the target MDT data set with a cluster tag of "3." This target MDT data reports two inter-frequency neighboring cells, RH and RI. Assume that the inter-frequency neighboring cell mean threshold set for candidate cell screening is -80, the good RSRP reporting ratio threshold is 95%, and the handover success rate threshold is 90%, and that neither RH nor RI is in the current base station's cell list. If the target user equipment does not meet any of the screening conditions, the candidate cell list for the target user equipment is empty. Ultimately, the base station may not perform a cell handover on the target user equipment, or may use existing load balancing methods for cell handover.

[0099] In the cell reselection method provided in the above embodiment, a base station obtains multiple target MDT data sets sent by a network management device. The multiple target MDT data sets are obtained by the network management device by clustering multiple historical MDT data of the serving cell where the target user equipment is located. The base station then obtains current MDT data reported by the target user equipment and reselects the serving cell of the target user equipment based on the multiple target MDT data sets and the current MDT data. This greatly improves the effectiveness of the reselected serving cell, avoids invalid selection and switching of the serving cell of the user equipment, ensures network coverage of the reselected serving cell, and improves user experience.

[0100] See also Figure 6 , Figure 6 A schematic block diagram of the structure of a network management device provided by an embodiment of the present invention.

[0101] like Figure 6 As shown, the network management device 300 includes a processor 301 and a memory 302 , and the processor 301 and the memory 302 are connected via a bus 303 , such as an I 2 C (Inter-integrated Circuit) bus.

[0102] Specifically, processor 301 is used to provide computing and control capabilities to support the operation of the entire network management device. Processor 301 can be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor can be a microprocessor, or the processor can be any conventional processor.

[0103] Specifically, the memory 302 may be a Flash chip, a read-only memory (ROM) disk, an optical disk, a USB flash drive, or a mobile hard disk.

[0104] Those skilled in the art will understand that Figure 6 The structure shown in the figure is only a block diagram of a part of the structure related to the embodiment of the present invention, and does not constitute a limitation on the network management device to which the embodiment of the present invention is applied. The specific server may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0105] The processor is configured to run a computer program stored in a memory, and implement any one of the cell reselection methods provided by the embodiments of the present invention when executing the computer program.

[0106] In one embodiment, the processor is configured to run a computer program stored in the memory, and implement the following steps when executing the computer program:

[0107] Acquire multiple historical Minimization of Drive Tests (MDT) data of the serving cell where the target user equipment is located;

[0108] performing clustering processing on the plurality of historical MDT data to obtain a plurality of target MDT data sets;

[0109] Reselect a serving cell of the target user equipment according to the multiple target MDT data sets.

[0110] In one embodiment, when the processor performs clustering processing on the plurality of historical MDT data to obtain the plurality of target MDT data sets, the processor is configured to implement:

[0111] Performing initial clustering on the plurality of historical MDT data to obtain a plurality of candidate MDT data sets;

[0112] Secondary clustering is performed on the multiple candidate MDT data sets to obtain multiple target MDT data sets.

[0113] In one embodiment, when performing initial clustering on the plurality of historical MDT data to obtain a plurality of candidate MDT data sets, the processor is configured to implement:

[0114] Grouping the multiple historical MDT data according to the same-frequency neighbor cell identifier in each of the historical MDT data to obtain multiple MDT data sets;

[0115] A clustering operation is performed on the MDT data in each of the MDT data sets to obtain multiple candidate MDT data sets.

[0116] In one embodiment, when performing a clustering operation on the MDT data in each of the MDT data sets to obtain multiple candidate MDT data sets, the processor is configured to implement:

[0117] Acquire a triplet of MDT data in each of the MDT data sets, wherein the triplet consists of a reference signal received power (RSRP) value of a serving cell, an RSRP value of a first intra-frequency neighboring cell, and an RSRP value of a second intra-frequency neighboring cell in the MDT data;

[0118] performing a clustering operation on the triples in each of the MDT data sets to obtain a plurality of triple sets;

[0119] Determining the MDT data corresponding to each of the triple sets to obtain a plurality of clustered MDT data sets;

[0120] The MDT data in each clustered MDT data set is aggregated to obtain multiple candidate MDT data sets.

[0121] In one embodiment, when performing secondary clustering on the multiple candidate MDT data sets to obtain multiple target MDT data sets, the processor is configured to implement:

[0122] Establishing a queue of the plurality of candidate MDT data sets, and sequentially selecting one candidate MDT data set from the queue as a first MDT data set to be merged;

[0123] determining whether there is a second MDT data set in the queue that can be merged with the first MDT data set;

[0124] When it is determined that the second MDT data set exists in the queue, merging the first MDT data set with the second MDT data set to obtain a new first MDT data set;

[0125] determining whether there is a second MDT data set in the queue that can be merged with the new first MDT data set;

[0126] When it is determined that there is no second MDT data set in the queue that can be merged with the new first MDT data set, updating the queue according to the new first MDT data set;

[0127] The step of selecting a candidate MDT data set from the queue as a first MDT data set to be merged is performed until there is no candidate MDT data set that can be merged among the candidate MDT data sets in the queue, thereby obtaining multiple target MDT data sets.

[0128] In one embodiment, when implementing reselecting a serving cell of the target user equipment according to the multiple target MDT data sets, the processor is configured to implement:

[0129] acquiring current MDT data of the target user equipment, and reselecting a serving cell of the target user equipment based on the multiple target MDT data sets and the current MDT data; or

[0130] The multiple target MDT data sets are sent to a base station, so that the base station reselects a serving cell of the target user equipment based on the multiple target MDT data sets and current MDT data reported by the target user equipment.

[0131] It should be noted that those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working process of the network management device described above can refer to the corresponding process in the aforementioned cell reselection method embodiment, and will not be repeated here.

[0132] See also Figure 7 , Figure 7 A schematic block diagram of the structure of a base station provided in an embodiment of the present invention.

[0133] like Figure 7 As shown, the base station 400 includes a processor 401 and a memory 402 , and the processor 401 and the memory 402 are connected via a bus 403 , which is, for example, an I 2 C (Inter-integrated Circuit) bus.

[0134] Specifically, processor 401 is used to provide computing and control capabilities to support the operation of the entire base station. Processor 401 can be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Among them, the general-purpose processor can be a microprocessor or the processor can also be any conventional processor.

[0135] Specifically, the memory 402 may be a Flash chip, a read-only memory (ROM) disk, an optical disk, a USB flash drive, or a mobile hard disk.

[0136] Those skilled in the art will understand that Figure 7 The structure shown in the figure is only a block diagram of a part of the structure related to the embodiment of the present invention, and does not constitute a limitation on the base station to which the embodiment of the present invention is applied. The specific server may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0137] The processor is configured to run a computer program stored in a memory, and implement any one of the cell reselection methods provided by the embodiments of the present invention when executing the computer program.

[0138] In one embodiment, the processor is configured to run a computer program stored in the memory, and implement the following steps when executing the computer program:

[0139] Acquire multiple target MDT data sets sent by a network management device, wherein the multiple target MDT data sets are obtained by the network management device by clustering multiple historical MDT data of a serving cell where the target user equipment is located;

[0140] Current MDT data reported by the target user equipment is acquired, and a serving cell of the target user equipment is reselected according to the multiple target MDT data sets and the current MDT data.

[0141] In one embodiment, when implementing reselecting a serving cell of the target user equipment according to the multiple target MDT data sets and the current MDT data, the processor is configured to implement:

[0142] Obtaining the same-frequency neighbor cell identifier, the RSRP value of the serving cell, and the RSRP value of the same-frequency neighbor cell in the current MDT data;

[0143] searching, according to the intra-frequency neighbor cell identifier, a target MDT data set corresponding to the target user equipment from the multiple target MDT data sets;

[0144] Determining target MDT data from a target MDT data set corresponding to the target user equipment based on the RSRP value of the serving cell and the RSRP value of a same-frequency neighboring cell;

[0145] Obtain inter-frequency neighbor cell information carried in the target MDT data, and reselect a serving cell of the target user equipment based on the inter-frequency neighbor cell information.

[0146] In one embodiment, when determining the target MDT data from the target MDT data set corresponding to the target user equipment based on the RSRP value of the serving cell and the RSRP value of the same-frequency neighboring cell, the processor is configured to implement:

[0147] Determine, based on the RSRP value of the serving cell and the RSRP value of a co-frequency neighboring cell, a Euclidean distance between each MDT data in a target MDT data set corresponding to the target user equipment and the current MDT data;

[0148] The MDT data in the target MDT data set corresponding to the minimum Euclidean distance is used as the target MDT data.

[0149] In one embodiment, when implementing reselecting the serving cell of the target user equipment based on the inter-frequency neighboring cell information, the processor is configured to implement:

[0150] Acquire multiple inter-frequency neighbor cell identifiers in the inter-frequency neighbor cell information, and generate an inter-frequency neighbor cell list according to the multiple inter-frequency neighbor cell identifiers;

[0151] Based on preset conditions, multiple inter-frequency neighboring cells in the inter-frequency neighboring cell list are screened to obtain a candidate cell list;

[0152] A candidate cell is selected from the candidate cell list as the target cell of the target user equipment.

[0153] In one embodiment, the processor is configured to implement:

[0154] The preset conditions include at least one of the following: the heterofrequency neighboring cell is located in the cell list of the current base station of the target user equipment, the RSRP mean of the heterofrequency neighboring cell is greater than or equal to the set mean threshold, the good RSRP reporting ratio of the heterofrequency neighboring cell is greater than or equal to the set reporting ratio threshold, and the switching success rate of the heterofrequency neighboring cell is greater than or equal to the set percentage threshold.

[0155] It should be noted that those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the base station described above can refer to the corresponding process in the aforementioned cell reselection method embodiment, and will not be repeated here.

[0156] An embodiment of the present invention also provides a storage medium for computer-readable storage, wherein the storage medium stores one or more programs, and the one or more programs can be executed by one or more processors to implement the steps of any cell reselection method provided in an embodiment of the present invention.

[0157] The storage medium may be an internal storage unit of the network management device or base station described in the aforementioned embodiment, such as a hard disk or memory of the network management device or base station. The storage medium may also be an external storage device of the network management device or base station, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc., equipped on the network management device or base station.

[0158] It will be appreciated by those skilled in the art that all or some of the steps, systems, and functional modules / units in the methods disclosed above may be implemented as software, firmware, hardware, and appropriate combinations thereof. In hardware implementations, the division between the functional modules / units mentioned in the above description does not necessarily correspond to the division of physical components; for example, a physical component may have multiple functions, or a function or step may be performed by several physical components in cooperation. Some or all physical components may be implemented as software executed by a processor, such as a central processing unit, a digital signal processor, or a microprocessor, or implemented as hardware, or implemented as an integrated circuit, such as an application-specific integrated circuit. Such software may be distributed on a computer-readable medium, which may include a computer storage medium (or non-transitory medium) and a communication medium (or temporary medium). As is well known to those skilled in the art, the term computer storage medium includes volatile and non-volatile, removable, and non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, program modules, or other data). Computer storage media include, but are not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to store the desired information and can be accessed by a computer. In addition, it is well known to those skilled in the art that communication media generally embodies computer-readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transport mechanism, and may include any information delivery media.

[0159] It should be understood that the term "and / or" used in the present specification and the appended claims refers to any combination of one or more of the associated listed items and all possible combinations, including these combinations. It should be noted that, in this article, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system that includes a series of elements includes not only those elements, but also includes other elements that are not explicitly listed, or also includes elements that are inherent to such process, method, article or system. In the absence of further restrictions, an element defined by the sentence "including a..." does not exclude the presence of other identical elements in the process, method, article or system that includes the element.

[0160] The serial numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the advantages or disadvantages of the embodiments. The above description is only a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any person skilled in the art can easily think of various equivalent modifications or replacements within the technical scope disclosed by the present invention, and these modifications or replacements should be included in the scope of protection of the present invention. Therefore, the scope of protection of the present invention shall be based on the scope of protection of the claims.

Claims

1. A cell reselection method, characterized in that: include: Acquire multiple historical Minimization of Drive Tests (MDT) data of the serving cell where the target user equipment is located; Performing initial clustering on the plurality of historical MDT data to obtain a plurality of candidate MDT data sets; Performing secondary clustering on the multiple candidate MDT data sets to obtain multiple target MDT data sets; wherein the multiple target MDT data sets include inter-frequency neighbor cell information, and the inter-frequency neighbor cell information includes at least one of the following: the number of inter-frequency neighbor cells, the inter-frequency neighbor cell identifier, the inter-frequency neighbor cell RSRP average, and inter-frequency neighbor cell handover information; Reselecting a serving cell for the target user equipment according to the multiple target MDT data sets; wherein the serving cell reselected for the target user equipment is one of multiple candidate cells determined according to the inter-frequency neighbor cell information.

2. The cell reselection method according to claim 1, wherein: The performing initial clustering on the plurality of historical MDT data to obtain a plurality of candidate MDT data sets includes: Grouping the multiple historical MDT data according to the same-frequency neighbor cell identifier in each of the historical MDT data to obtain multiple MDT data sets; A clustering operation is performed on the MDT data in each of the MDT data sets to obtain multiple candidate MDT data sets.

3. The cell reselection method according to claim 2, wherein: The clustering operation is performed on the MDT data in each of the MDT data sets to obtain multiple candidate MDT data sets, including: Acquire a triplet of MDT data in each of the MDT data sets, wherein the triplet consists of a reference signal received power (RSRP) value of a serving cell, an RSRP value of a first intra-frequency neighboring cell, and an RSRP value of a second intra-frequency neighboring cell in the MDT data; performing a clustering operation on the triples in each of the MDT data sets to obtain a plurality of triple sets; Determining the MDT data corresponding to each of the triple sets to obtain a plurality of clustered MDT data sets; The MDT data in each clustered MDT data set is aggregated to obtain multiple candidate MDT data sets.

4. The cell reselection method according to claim 1, wherein: The performing secondary clustering on the multiple candidate MDT data sets to obtain multiple target MDT data sets includes: Establishing a queue of the plurality of candidate MDT data sets, and sequentially selecting one candidate MDT data set from the queue as a first MDT data set to be merged; determining whether there is a second MDT data set in the queue that can be merged with the first MDT data set; When it is determined that the second MDT data set exists in the queue, merging the first MDT data set with the second MDT data set to obtain a new first MDT data set; determining whether there is a second MDT data set in the queue that can be merged with the new first MDT data set; When it is determined that there is no second MDT data set in the queue that can be merged with the new first MDT data set, updating the queue according to the new first MDT data set; The step of selecting a candidate MDT data set from the queue as a first MDT data set to be merged is performed until there is no candidate MDT data set that can be merged among the candidate MDT data sets in the queue, thereby obtaining multiple target MDT data sets.

5. The cell reselection method according to any one of claims 1 to 4, characterized in that: The reselecting a serving cell of the target user equipment according to the multiple target MDT data sets includes: acquiring current MDT data of the target user equipment, and reselecting a serving cell of the target user equipment based on the multiple target MDT data sets and the current MDT data; or The multiple target MDT data sets are sent to a base station, so that the base station reselects a serving cell of the target user equipment based on the multiple target MDT data sets and current MDT data reported by the target user equipment.

6. A cell reselection method, characterized in that: include: Acquire multiple target MDT data sets sent by a network management device, wherein the multiple target MDT data sets are obtained by the network management device by performing a primary clustering on multiple historical MDT data of a serving cell where a target user equipment is located to obtain multiple candidate MDT data sets, and then performing a secondary clustering on the multiple candidate MDT data sets; wherein the multiple target MDT data sets include inter-frequency neighbor cell information, and the inter-frequency neighbor cell information includes at least one of the following: the number of inter-frequency neighbor cells, an inter-frequency neighbor cell identifier, an average RSRP value of the inter-frequency neighbor cells, and inter-frequency neighbor cell handover information; Obtain current MDT data reported by the target user equipment, and reselect a serving cell for the target user equipment based on the multiple target MDT data sets and the current MDT data; wherein the serving cell reselected for the target user equipment is one of multiple candidate cells determined based on the inter-frequency neighbor cell information.

7. The cell reselection method according to claim 6, wherein: The reselecting a serving cell of the target user equipment according to the multiple target MDT data sets and the current MDT data includes: Obtaining the same-frequency neighbor cell identifier, the RSRP value of the serving cell, and the RSRP value of the same-frequency neighbor cell in the current MDT data; searching, according to the intra-frequency neighbor cell identifier, a target MDT data set corresponding to the target user equipment from the multiple target MDT data sets; Determining target MDT data from a target MDT data set corresponding to the target user equipment based on the RSRP value of the serving cell and the RSRP value of a same-frequency neighboring cell; Obtain inter-frequency neighbor cell information carried in the target MDT data, and reselect a serving cell of the target user equipment based on the inter-frequency neighbor cell information.

8. The cell reselection method according to claim 7, wherein: The determining, based on the RSRP value of the serving cell and the RSRP value of the same-frequency neighboring cell, target MDT data from a target MDT data set corresponding to the target user equipment includes: Determine, based on the RSRP value of the serving cell and the RSRP value of a co-frequency neighboring cell, a Euclidean distance between each MDT data in a target MDT data set corresponding to the target user equipment and the current MDT data; The MDT data in the target MDT data set corresponding to the minimum Euclidean distance is used as the target MDT data.

9. The cell reselection method according to claim 7, wherein: The reselecting a serving cell of the target user equipment based on the inter-frequency neighboring cell information includes: Acquire multiple inter-frequency neighbor cell identifiers in the inter-frequency neighbor cell information, and generate an inter-frequency neighbor cell list according to the multiple inter-frequency neighbor cell identifiers; Based on preset conditions, multiple inter-frequency neighboring cells in the inter-frequency neighboring cell list are screened to obtain a candidate cell list; A candidate cell is selected from the candidate cell list as the target cell of the target user equipment.

10. The cell reselection method according to claim 9, wherein: The preset conditions include at least one of the following: the heterofrequency neighboring cell is located in the cell list of the current base station of the target user equipment, the RSRP mean of the heterofrequency neighboring cell is greater than or equal to the set mean threshold, the good RSRP reporting ratio of the heterofrequency neighboring cell is greater than or equal to the set reporting ratio threshold, and the switching success rate of the heterofrequency neighboring cell is greater than or equal to the set percentage threshold.

11. A network management device, characterized in that: The network management device includes a processor, a memory, a computer program stored in the memory and executable by the processor, and a data bus for implementing connection and communication between the processor and the memory, wherein when the computer program is executed by the processor, the steps of the cell reselection method according to any one of claims 1 to 5 are implemented.

12. A base station, characterized in that: The base station includes a processor, a memory, a computer program stored in the memory and executable by the processor, and a data bus for implementing connection communication between the processor and the memory, wherein when the computer program is executed by the processor, the steps of the cell reselection method according to any one of claims 6 to 10 are implemented.

13. A storage medium for computer-readable storage, characterized in that: The storage medium stores one or more programs, and the one or more programs can be executed by one or more processors to implement the steps of the cell reselection method according to any one of claims 1 to 5, or the steps of the cell reselection method according to any one of claims 6 to 10.

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