Processing method and device for measuring cell list, equipment, medium and product

Abstract

The invention relates to a processing method and device for measuring a cell list, equipment, a medium and a product, and the method comprises the steps: obtaining the cell information of a to-be-measured candidate cell of a terminal, and determining a plurality of SSB beam indexes of the candidate cell based on the cell information; determining the credibility of the candidate cell based on the time position relationship of the plurality of SSB beam indexes of the candidate cell; wherein the time position relationship is used for indicating the time distance between adjacent SSB beam indexes in the plurality of SSB beam indexes; and determining a target cell of which the credibility meets a credibility threshold requirement, and determining a measurement cell list of the terminal based on the target cell. According to the invention, the measurement efficiency of the cell list can be improved.

Description

Technical Field

[0001] This disclosure relates to the field of the Internet of Things, and more particularly to a method, apparatus, device, medium, and product for processing a list of measurement cells. Background Technology

[0002] A cell, also known as a cellular cell, refers to the area covered by one or a portion of a base station in a cellular mobile communication system. In related technologies, terminals typically determine candidate SSB (Synchromization Signal and PBCH Block) beam indices by detecting the Primary Synchronization Signal (PSS) and Secondary Synchronization Signal (SSS), and then obtain a list of measurement cells based on the candidate SSB indices.

[0003] In related technologies, when a terminal measures a cell, it may detect multiple false SSB beam indices. Therefore, it needs to read the cell's Master Information Block (MIB) through a merging and decoding process to filter cells and obtain the true cell information. However, the process of reading the MIB causes significant latency, reducing the efficiency of cell list measurement, and also increases the power consumption of the terminal chip. Summary of the Invention

[0004] This disclosure provides a method, apparatus, device, medium, and product for processing a list of measurement cells.

[0005] According to a first aspect of this disclosure, a method for processing a list of measurement cells is provided, the method comprising:

[0006] Obtain cell information of the candidate cell to be measured from the terminal, and determine multiple SSB beam indices of the candidate cell based on the cell information;

[0007] The credibility of the candidate cell is determined based on the temporal positional relationship of multiple SSB beam indices of the candidate cell; wherein, the temporal positional relationship is used to indicate the temporal distance between adjacent SSB beam indices among the multiple SSB beam indices.

[0008] Identify the target cell whose credibility meets the credibility threshold requirement, and determine the measurement cell list of the terminal based on the target cell.

[0009] Further, determining multiple SSB beam indices of the candidate cell based on the cell information includes:

[0010] Perform DMRS blind detection on the cell identifiers of the candidate cells to obtain the candidate SSB beam index;

[0011] The candidate SSB beam indices of the candidate cells are filtered to obtain the plurality of SSB beam indices; wherein the plurality of SSB beam indices are included in the SSB measurement configuration parameters, and the plurality of SSB beam indices do not contain duplicate SSB beam indices.

[0012] Further, the process of filtering the candidate SSB beam indices of the candidate cells to obtain the plurality of SSB beam indices includes:

[0013] The first candidate index is obtained by filtering the beam indices contained in the SSB measurement configuration parameters from the candidate SSB beam indices.

[0014] The candidate indices that appear repeatedly in the first candidate index are identified to obtain the second candidate index;

[0015] The second candidate index with the highest signal-to-noise ratio among the second candidate indices is determined as one of the multiple SSB beam indices of the candidate cell.

[0016] Furthermore, determining the credibility of the candidate cell based on the temporal positional relationship of multiple SSB beam indices of the candidate cell includes:

[0017] A first time distance is determined between a first SSB beam index and its next SSB beam index among the plurality of SSB beam indices, and a second time distance is determined between a second SSB beam index and its next SSB beam index among the plurality of SSB beam indices; wherein the first SSB beam index and the second SSB beam index are different;

[0018] The credibility of the candidate cell is determined based on the first time distance and the second time distance.

[0019] Further, determining the credibility of the candidate cell based on the first time distance and the second time distance includes:

[0020] Determine the number of third time distances in the first time distance, and determine the number of fourth time distances in the second time distance; wherein, the third time distance is the time distance in the first time distance that satisfies a first preset time distance, and the fourth time distance is the time distance in the second time distance that satisfies a second preset time distance;

[0021] The credibility of the candidate cells is determined based on the number of cells.

[0022] Furthermore, after determining the target cell whose credibility meets the credibility threshold requirement, the method further includes:

[0023] Delete the SSB beam indices in the target cell that do not meet the first preset time distance and / or the second preset time distance.

[0024] Further, determining the measurement cell list of the terminal based on the target cell includes:

[0025] In the target measurement scenario, the SSB beam index of the target cell is sorted by time to obtain the sorting result; wherein, the target measurement scenario is used to indicate that the terminal and the cell to be measured are located at the same carrier frequency, and the SSB index derivation parameter is set to enable;

[0026] Identify the target SSB beam index in the SSB beam index of each target cell; wherein, the target SSB beam index corresponds to multiple target cells;

[0027] The SSB beam index of the target cell is filtered using the sorting results and the target SSB beam index to obtain the filtered SSB beam index.

[0028] The list of measurement cells is determined based on the target cell and the filtered SSB beam index of the target cell.

[0029] Further, the step of filtering the SSB beam index of the target cell using the sorting result and the target SSB beam index to obtain the filtered SSB beam index includes:

[0030] Based on the sorting results, the foremost SSB beam index in the target SSB beam index is determined, and the PSS peak position of the foremost SSB beam index is determined.

[0031] The target detection range is determined based on the PSS peak position, and the SSB beam index of the target cell located within the target detection range is determined.

[0032] Delete the beam indices in the SSB beam indices of the target cell within the target detection range that are different from the first SSB beam index to obtain the filtered SSB beam index.

[0033] According to a second aspect of this disclosure, a processing apparatus for measuring a cell list is provided, the apparatus comprising:

[0034] The acquisition module is used to acquire cell information of candidate cells to be measured by the terminal, and determine multiple SSB beam indices of the candidate cells based on the cell information.

[0035] The first determining module is used to determine the credibility of the candidate cell based on the temporal positional relationship of multiple SSB beam indices of the candidate cell; wherein the temporal positional relationship is used to indicate the temporal distance between adjacent SSB beam indices among the multiple SSB beam indices.

[0036] The second determining module is used to determine the target cell whose credibility meets the credibility threshold requirement, and to determine the measurement cell list of the terminal based on the target cell.

[0037] According to a third aspect of this disclosure, an electronic device is provided. The electronic device includes a memory and a processor, wherein the memory stores a computer program, and the processor executes the program to implement the method described above.

[0038] According to a fourth aspect of this disclosure, a computer-readable storage medium is provided having a computer program stored thereon that, when executed by a processor, implements the methods described above.

[0039] According to a fifth aspect of this disclosure, a computer program product is provided. The computer program product includes a computer program that, when executed by a processor, implements the methods described above.

[0040] This disclosure provides a method, apparatus, device, medium, and product for processing a measurement cell list. In this embodiment, firstly, cell information of candidate cells to be measured by the terminal is obtained, and multiple SSB beam indices of the candidate cells are determined based on the cell information; then, the reliability of the candidate cells is determined based on the temporal positional relationship of the multiple SSB beam indices; wherein the temporal positional relationship is used to indicate the time distance between adjacent SSB beam indices among the multiple SSB beam indices; finally, a target cell whose reliability meets the reliability threshold requirement is determined, and the measurement cell list of the terminal is determined based on the target cell.

[0041] As described above, compared to traditional technologies that rely on additional cell information to filter high-confidence cells, the present invention determines target cells whose confidence meets the confidence threshold requirements by using the temporal positional relationship of multiple SSB beam indices of candidate cells. This simplifies the screening process for high-confidence cells, and the simplified screening process omits the process of reading MIB information. Therefore, the present invention can achieve rapid screening of high-confidence cells, reduce the measurement latency of the cell list, lower the power consumption of the terminal chip, and improve the measurement efficiency of the cell list. Attached Figure Description

[0042] The above and other objects, features, and advantages of this disclosure will become more apparent from the more detailed description of the embodiments thereof in conjunction with the accompanying drawings. The drawings are provided to offer a further understanding of the embodiments of this disclosure and form part of the specification. They are used together with the embodiments of this disclosure to explain the disclosure and do not constitute a limitation thereof. In the drawings, the same reference numerals generally represent the same components or steps.

[0043] Picture 1 A flowchart of a method for processing a measurement cell list provided as an exemplary embodiment of this disclosure;

[0044] Picture 2 A flowchart of a method for processing a list of measurement cells provided as another exemplary embodiment of this disclosure;

[0045] Picture 3 A flowchart of a method for processing a list of measurement cells provided as another exemplary embodiment of this disclosure;

[0046] Picture 4 A schematic diagram of SSB beam index sorting results provided for an exemplary embodiment of this disclosure;

[0047] Picture 5 A schematic block diagram of functional modules of a measurement cell list processing apparatus provided for an exemplary embodiment of the present disclosure;

[0048] Picture 6 A structural block diagram of an electronic device provided as an exemplary embodiment of this disclosure;

[0049] Picture 7 A structural block diagram of a computer system provided as an exemplary embodiment of this disclosure;

[0050] Picture 8 A structural block diagram of a computer program product provided for an exemplary embodiment of this disclosure. Detailed Implementation

[0051] Embodiments of this disclosure will now be described in more detail with reference to the accompanying drawings. While some embodiments of this disclosure are shown in the drawings, it should be understood that this disclosure can be implemented in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided to provide a more thorough and complete understanding of this disclosure. It should be understood that the accompanying drawings and embodiments of this disclosure are for illustrative purposes only and are not intended to limit the scope of protection of this disclosure.

[0052] It should be understood that the steps described in the method embodiments of this disclosure may be performed in different orders and / or in parallel. Furthermore, the method embodiments may include additional steps and / or omit the steps shown. The scope of this disclosure is not limited in this respect.

[0053] The term "comprising" and its variations as used herein are open-ended, meaning "including but not limited to". The term "based on" means "at least partially based on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". Definitions of other terms will be given in the description below. It should be noted that the concepts of "first", "second", etc., used in this disclosure are only used to distinguish different devices, modules, or units, and are not intended to limit the order of functions performed by these devices, modules, or units or their interdependencies.

[0054] It should be noted that the terms "a" and "a plurality of" used in this disclosure are illustrative rather than restrictive, and those skilled in the art should understand that, unless otherwise expressly indicated in the context, they should be understood as "one or more".

[0055] The names of messages or information exchanged between multiple devices in the embodiments of this disclosure are for illustrative purposes only and are not intended to limit the scope of such messages or information.

[0056] It is understood that before using the technical solutions disclosed in the various embodiments of this disclosure, users should be informed of the types, scope of use, and usage scenarios of the personal information involved in this disclosure in an appropriate manner in accordance with relevant laws and regulations, and user authorization should be obtained.

[0057] For example, upon receiving a user's active request, a prompt message is sent to the user to explicitly inform them that the requested operation will require the acquisition and use of the user's personal information. This allows the user to independently choose whether to provide personal information to the software or hardware, such as the electronic device, application, server, or storage medium performing the operations of this disclosed technical solution, based on the prompt message.

[0058] As an optional but non-limiting implementation, in response to a user's active request, sending a prompt message to the user can be done via a pop-up window, where the prompt message can be presented in text format. Furthermore, the pop-up window can also include a selection control allowing the user to choose "agree" or "disagree" to provide personal information to the electronic device. It is understood that the above notification and user authorization process is merely illustrative and does not constitute a limitation on the implementation of this disclosure; other methods that comply with relevant laws and regulations may also be applied to the implementation of this disclosure.

[0059] In one embodiment, such as Picture 1 As shown, a method for processing a list of measurement cells is provided, including the following steps:

[0060] Step 101: Obtain the cell information of the candidate cell to be measured on the terminal, and determine multiple SSB beam indices of the candidate cell based on the cell information.

[0061] Here, after receiving the base station signal, the terminal first performs primary synchronization signal detection on the base station signal, obtaining multiple sequence correlation peaks of the primary synchronization signal. Then, the terminal performs secondary synchronization signal detection on the multiple sequence correlation peaks, obtaining multiple candidate secondary synchronization signal sequences under the sequence correlation peaks. Finally, the terminal determines the cell information of at least one candidate cell based on the candidate secondary synchronization signal sequences. It should be noted that the terminal can be 5G NR (5G New Radio) or RedCap (5G Lightweight); the type of terminal is not limited here. Afterward, the server can obtain the cell information of the candidate cell to be measured from the terminal and determine multiple SSB beam indices of the candidate cell based on the cell information.

[0062] In one possible embodiment, determining multiple SSB beam indices for candidate cells based on cell information includes the following steps:

[0063] Perform DMRS blind detection on the cell identifiers of candidate cells to obtain the candidate SSB beam index;

[0064] The candidate SSB beam indices of the candidate cells are filtered, resulting in multiple SSB beam indices.

[0065] Specifically, after obtaining the cell information of the candidate cell to be measured from the terminal, the server first performs a DMRS (demodulation reference signal) blind detection on the cell identifier of the candidate cell to obtain the candidate SSB beam index.

[0066] For example, for candidate cell CellID#0, the candidate SSB beam indexes can be: SSB#0, SSB#1, SSB#2, SSB#3, SSB#4, SSB#5, SSB#6, and SSB#7. Then, the server filters the candidate SSB beam indices of the above candidate cell CellID#0. After filtering, multiple SSB beam indices can be obtained. These multiple SSB beam indices are included in the SSB beamindex range indicated by the SSB measurement configuration parameter (SSb-ToMeasure), and the multiple SSB beam indices do not contain duplicate SSB beam indices.

[0067] Step 102: Determine the credibility of the candidate cell based on the temporal positional relationship of multiple SSB beam indices of the candidate cell.

[0068] Here, after the server determines multiple SSB beam indices of candidate cells based on cell information, it can determine the credibility of each candidate cell based on the temporal positional relationship of the multiple SSB beam indices of candidate cells. The temporal positional relationship is used to indicate the temporal distance between adjacent SSB beam indices among the multiple SSB beam indices.

[0069] For each candidate cell, multiple SSB beam indices can be determined. At this point, for the SSB beam indices of the same candidate cell, the time distance between adjacent SSB beam indices can be determined.

[0070] For example, the multiple SSB beam indices for candidate cell CellID#0 can be: SSB#0, SSB#1, SSB#2, SSB#3, SSB#4, SSB#5, SSB#6, and SSB#7. In this case, SSB#0 and SSB#1 are adjacent SSB beam indices, SSB#1 and SSB#2 are adjacent SSB beam indices, SSB#2 and SSB#3 are adjacent SSB beam indices, and so on.

[0071] In one possible embodiment, the confidence level of a candidate cell is determined based on the temporal positional relationship of multiple SSB beam indices, including the following steps:

[0072] First, determine the first time distance between the first SSB beam index and its next SSB beam index among multiple SSB beam indices, and determine the second time distance between the second SSB beam index and its next SSB beam index among multiple SSB beam indices;

[0073] Secondly, the credibility of candidate cells is determined based on the first and second time distances.

[0074] After determining multiple SSB beam indices for candidate cells based on cell information, the server first determines a first SSB beam index and a second SSB beam index from among the multiple SSB beam indices of the same candidate cell according to a specified rule; wherein the first SSB beam index and the second SSB beam index have no overlap. The specified rule can be understood as the rule for determining cell confidence. This specified rule is associated with the type of SSB pattern scenario.

[0075] Next, the server can determine the first time distance between the first SSB beam index and its next SSB beam index, and the second time distance between the second SSB beam index and its next SSB beam index.

[0076] For example, in candidate cell CellID#0, the first SSB beam index can be SSB#0, the next SSB beam index can be SSB#1, the first time distance between SSB#0 and SSB#1 can be 8, the second SSB beam index can be SSB#2, the next SSB beam index can be SSB#3, and the second time distance between SSB#2 and SSB#3 can be 12. Then, the server can determine the credibility of the candidate cell based on the first and second time distances.

[0077] In one possible embodiment, the confidence level of a candidate cell is determined based on a first time distance and a second time distance, including the following steps:

[0078] Determine the number of third time distances within the first time distance, and determine the number of fourth time distances within the second time distance;

[0079] The credibility of candidate cells is determined based on the number of cells.

[0080] Specifically, after determining the first time distance between the first SSB beam index and its next SSB beam index among multiple SSB beam indices, and the second time distance between the second SSB beam index and its next SSB beam index among multiple SSB beam indices, the server first determines the number of third time distances in the first time distance and the number of fourth time distances in the second time distance, wherein the third time distance is the time distance in the first time distance that satisfies the first preset time distance, and the fourth time distance is the time distance in the second time distance that satisfies the second preset time distance.

[0081] Next, the server can determine the credibility of candidate cells based on the number of cells. It should be noted that this disclosed technical solution describes the first and second preset time distances for different SSB beam indices under SSB pattern A and C scenarios for FR1 band terminal Redcap, and records these first and second preset time distances in a table. For FR1 band terminal Redcap, there can be a maximum of 8 SSB beam indices. The numerical units in the table are the length of the symbol. The specific table is shown below:

[0082] SSB#0 SSB#1 SSB#2 SSB#3 SSB#4 SSB#5 SSB#6 SSB#7 SSB#0 NA 6 14 20 28 34 42 48 SSB#1 6 NA 8 14 22 28 36 42 SSB#2 14 8 NA 6 14 20 28 34 SSB#3 20 14 6 NA 8 14 22 28 SSB#4 28 22 14 8 NA 6 14 20 SSB#5 34 28 20 14 6 NA 8 14 SSB#6 42 36 28 22 14 8 NA 6 SSB#7 48 42 34 28 20 14 6 NA

[0083] For example, in the scenario corresponding to the table above, in candidate cell CellID#0, the server determines the first SSB beam index as SSB#0, the next SSB beam index as SSB#1, and the first time distance between SSB#0 and SSB#1 is 6; the server determines the second SSB beam index as SSB#2, the next SSB beam index as SSB#3, and the second time distance between SSB#2 and SSB#3 is 6. According to the table above, the first preset time distance between SSB#0 and SSB#1 is 6, the second preset time distance between SSB#2 and SSB#3 is 6, the third time distance is the time distance within the first time distance that satisfies the first preset time distance, so the number of third time distances within the first time distance is 1; the fourth time distance is the time distance within the second time distance that satisfies the second preset time distance, so the number of fourth time distances within the second time distance is 1.

[0084] After determining the number of third time distances in the first time distance and the number of fourth time distances in the second time distance, the server can determine the credibility of the candidate cell based on these numbers. For example, in candidate cell CellID#0, if the number of third time distances in the first time distance of the SSB beam index is 1 and the number of fourth time distances in the second time distance is 1, meaning there are more than two consecutive SSB beam indices whose time distances match the preset time distances in the table above, the credibility of candidate cell CellID#0 is determined to be high credibility. If the number of third time distances in the first time distance of the SSB beam index is 1 and the number of fourth time distances in the second time distance is 0, meaning there are no more than two consecutive SSB beam indices whose time distances match the preset time distances in the table above, the credibility of candidate cell CellID#0 is determined to be low credibility.

[0085] In another embodiment, the inventors also compiled statistics on the first and second preset time distances of the terminal Redcap in the FR1 band under the SSB pattern B scenario, for different SSB beam indices. The specific table is shown below:

[0086] SSB#0 SSB#1 SSB#2 SSB#3 SSB#4 SSB#5 SSB#6 SSB#7 SSB#0 NA 4 12 16 28 32 40 44 SSB#1 4 NA 8 12 24 28 36 40 SSB#2 12 8 NA 4 16 20 28 32 SSB#3 16 12 4 NA 12 16 24 28 SSB#4 28 24 16 12 NA 4 12 16 SSB#5 32 28 20 16 4 NA 8 12 SSB#6 40 36 28 24 12 8 NA 4 SSB#7 44 40 32 28 16 12 4 NA

[0087] Similarly, for the scenario corresponding to this table, firstly, the first time distance between the first SSB beam index and the next SSB beam index of the first SSB beam index can be determined, and the second time distance between the second SSB beam index and the next SSB beam index of the second SSB beam index can be determined. Then, based on the number of third time distances in the first time distance and the number of fourth time distances in the second time distance, the credibility of the candidate cell can be determined. The specific method is the same as the method of the above embodiment of terminal Redcap in the SSB pattern B scenario under FR1 band, and will not be repeated here.

[0088] Step 103: Determine the target cell whose credibility meets the credibility threshold requirement, and determine the terminal's measurement cell list based on the target cell.

[0089] Here, after determining the credibility of candidate cells based on the temporal and positional relationships of multiple SSB beam indices, the server can identify target cells whose credibility meets the credibility threshold requirements and determine the terminal's measurement cell list based on the target cells.

[0090] In one possible embodiment, the candidate cells identified are CellID#0, CellID#1, and CellID#2, wherein the confidence levels of CellID#0, CellID#1, and CellID#2 are high confidence, high confidence, and low confidence, respectively. CellID#0 and CellID#1 with high confidence can be identified as the target cells.

[0091] In one possible embodiment, determining the measurement cell list for the terminal based on the target cell includes the following steps:

[0092] First, in the target measurement scenario, the SSB beam index of the target cell is sorted by time to obtain the sorting result; wherein, the target measurement scenario is used to indicate that the terminal and the cell to be measured are located at the same carrier frequency, and the SSB index derivation parameter is set to enable;

[0093] Secondly, the target SSB beam index is identified in the SSB beam index of each target cell; wherein, the target SSB beam index corresponds to multiple target cells;

[0094] Next, the SSB beam index of the target cell is filtered based on the sorting results and the target SSB beam index to obtain the filtered SSB beam index.

[0095] Finally, based on the target cell and the filtered SSB beam index of the target cell, the list of measurement cells is determined.

[0096] In this embodiment of the disclosure, after the server determines the target cell whose credibility meets the credibility threshold requirement, it first sorts the SSB beam index of the target cell by time in the target measurement scenario to obtain the sorting result. The target measurement scenario is used to indicate that the terminal and the cell to be measured are located at the same carrier frequency, and the SSB index derivation parameter is set to enable.

[0097] For example, the target cells are CellID#0 and CellID#1, and the SSB beam indices corresponding to CellID#0 are SSB#0, SSB#1, and SSB#2, while the SSB beam indices corresponding to CellID#1 are SSB#1, SSB#2, and SSB#3. Based on the chronological order of the SSB beam indices, the above SSB beam indices are sorted as follows: CellID#0.SSB#1, CellID#0.SSB#1, CellID#1.SSB#1, CellID#0.SSB#2, CellID#1.SSB#2, and CellID#1.SSB#3.

[0098] After sorting the SSB beam indices of the target cells by time, the server identifies the target SSB beam index in the SSB beam indexes of each target cell. The target SSB beam index corresponds to multiple target cells.

[0099] Continuing from the previous example, the target cells are identified as CellID#0 and CellID#1. The SSB beam indices corresponding to CellID#0 are SSB#0, SSB#1, and SSB#2, and the SSB beam indices corresponding to CellID#1 are SSB#1, SSB#2, and SSB#3. Since SSB#1 exists in the SSB beam indices of both target cells CellID#0 and CellID#1, SSB#1 is determined as the target SSB beam index.

[0100] Next, the SSB beam indexes of the target cells are filtered using the sorting results and the target SSB beam index, resulting in a filtered SSB beam index. Once the server obtains the filtered SSB beam index, it can determine the list of measurement cells based on the target cells and their filtered SSB beam indexes.

[0101] Continuing with the previous example, the filtered SSB beam indices obtained by the server are CellID#0.SSB#1, CellID#1.SSB#1, CellID#0.SSB#2, CellID#1.SSB#2, and CellID#1.SSB#3. The server can add the target cell CellID#0, CellID#1, and the filtered SSB beam indices CellID#0.SSB#1, CellID#1.SSB#1, CellID#0.SSB#2, CellID#1.SSB#2, and CellID#1.SSB#3 to the cell list to determine the measurement cell list.

[0102] This disclosure provides a method, apparatus, device, medium, and product for processing a measurement cell list. In this embodiment, firstly, cell information of candidate cells to be measured by the terminal is obtained, and multiple SSB beam indices of the candidate cells are determined based on the cell information; then, the reliability of the candidate cells is determined based on the temporal positional relationship of the multiple SSB beam indices; wherein the temporal positional relationship is used to indicate the time distance between adjacent SSB beam indices among the multiple SSB beam indices; finally, a target cell whose reliability meets the reliability threshold requirement is determined, and the measurement cell list of the terminal is determined based on the target cell.

[0103] As described above, compared to traditional technologies that rely on additional cell information to filter high-confidence cells, the present invention determines target cells whose confidence meets the confidence threshold requirements by using the temporal positional relationship of multiple SSB beam indices of candidate cells. This simplifies the screening process for high-confidence cells, and the simplified screening process omits the process of reading MIB information. Therefore, the present invention can achieve rapid screening of high-confidence cells, reduce the measurement latency of the cell list, lower the power consumption of the terminal chip, and improve the measurement efficiency of the cell list.

[0104] In one embodiment, such as Picture 2 As shown, step 101 involves filtering the candidate SSB beam indices of the candidate cells, resulting in multiple SSB beam indices. The step also includes the following steps:

[0105] Step 201: Filter the beam indices included in the SSB measurement configuration parameters from the candidate SSB beam indices to obtain the first candidate index.

[0106] Here, after the server performs DMRS blind detection on the cell identifiers of candidate cells to obtain candidate SSB beam indices, it can filter the beam indices contained in the SSB measurement configuration parameters from the candidate SSB beam indices to obtain the first candidate index.

[0107] In one possible embodiment, the server performs a DMRS blind detection on the cell identifier of candidate cell CellID#0, resulting in candidate SSB beam indices SSB#0, SSB#1, SSB#1, SSB#3, SSB#4, SSB#5, SSB#6, and SSB#7. The server then filters SSB#0, SSB#1, SSB#1, SSB#3, SSB#4, SSB#5, SSB#6, and SSB#7 according to the SSB measurement configuration parameter SSB-ToMeasure. For example, if SSB#1, SSB#1, SSB#2, SSB#3, and SSB#4 are included in the SSB measurement configuration parameter SSB-ToMeasure, then SSB#1, SSB#1, SSB#2, SSB#3, and SSB#4 are determined as the first candidate indices, and SSB#5, SSB#6, and SSB#7 are deleted.

[0108] Step 202: Determine the candidate indices that appear repeatedly in the first candidate index to obtain the second candidate index.

[0109] In one possible embodiment, the server obtains the first candidate indexes as SSB#1, SSB#2, SSB#3, and SSB#4, where SSB#1 appears repeatedly. The two SSB#1s that appear repeatedly are then determined as the second candidate indexes.

[0110] Step 203: The second candidate index with the highest signal-to-noise ratio among the second candidate indices is determined as multiple SSB beam indices of the candidate cell.

[0111] Here, after obtaining the second candidate index, the server can determine the second candidate index with the highest signal-to-noise ratio among the second candidate indexes as multiple SSB beam indices of the candidate cell.

[0112] In one possible embodiment, the first candidate indices are SSB#1, SSB#2, SSB#3, and SSB#4, and the second candidate indices are two repeated SSB#1s. If the signal-to-noise ratio (SNR) of the first SSB#1 is greater than the SNR of the second SSB#1, then the first SSB#1 is removed from the candidate SSB beam index of the candidate cell, and the second SSB#1 is determined as the SSB beam index of the candidate cell. After removing the false SSB beam indexes, the final multiple SSB beam indices of the candidate cell are: SSB#1, SSB#2, SSB#3, and SSB#4.

[0113] In this embodiment, firstly, the server filters the beam indices contained in the SSB measurement configuration parameters from the candidate SSB beam indices to obtain the first candidate index. Then, it identifies the candidate indices that appear repeatedly in the first candidate index to obtain the second candidate index. Finally, the server determines the second candidate index with the highest signal-to-noise ratio in the second candidate index as multiple SSB beam indices of the candidate cell.

[0114] As described above, in this embodiment, candidate SSB beam indices are filtered using SSB measurement configuration parameters and SSB beam index signal-to-noise ratio. After filtering, multiple SSB beam indices of candidate cells are obtained. These SSB beam indices exclude false beam indices, thereby improving the reliability of the measurement cell list processing method.

[0115] In one embodiment, after determining the target cell whose confidence level meets the confidence threshold requirement, the following steps are also included:

[0116] Delete the SSB beam indices in the target cell that do not meet the first preset time distance and / or the second preset time distance.

[0117] Here, after the server determines the target cell whose credibility meets the credibility threshold requirement, it can delete the part of the SSB beam index in the target cell that does not meet the first preset time distance and / or the second preset time distance.

[0118] In one possible embodiment, for example, the target cell is determined to be CellID#0, wherein the target cell CellID#0 contains SSB beam indices SSB#5 and SSB#6, and the time distance between SSB#5 and SSB#6 is 7. According to the table compiled by the inventor in the above embodiment, the time distance between SSB#5 and SSB#6 does not meet the first preset time distance 6, nor does it meet the second preset time distance 6, so SSB#5 and SSB#6 are deleted.

[0119] In this embodiment, after the server determines the target cell whose credibility meets the credibility threshold requirement, it can delete some false SSB beam indices in the target cell that do not meet the first preset time distance and / or the second preset time distance. After deleting the false SSB beam indices, the authenticity of the SSB beam indices can be guaranteed, which further improves the reliability of the measurement cell list processing method.

[0120] In one embodiment, such as Picture 3 As shown, step 103 involves filtering the SSB beam index of the target cell using the sorting results and the target SSB beam index to obtain the filtered SSB beam index. The step also includes the following steps:

[0121] Step 301: Based on the sorting results, determine the foremost SSB beam index in the target SSB beam index, and determine the PSS peak position of the foremost SSB beam index.

[0122] Here, after the server identifies the target SSB beam index in the SSB beam index of each target cell, it can determine the foremost SSB beam index in the target SSB beam index based on the sorting result, and determine the PSS peak position of the foremost SSB beam index.

[0123] In one possible embodiment, the server identifies the target SSB beam index in the SSB beam index of each target cell, such as... Picture 4 As shown, Picture 4 An exemplary diagram illustrating the SSB beam index sorting results is provided. The identified target cells are CellID#0 and CellID#1, the target SSB beam index is SSB#1, and the SSB beam indices corresponding to CellID#0 are SSB#0, SSB#1, and SSB#2. The SSB beam indices corresponding to CellID#1 are SSB#1, SSB#2, and SSB#3. The sorting result of these six beam indices is: CellID#0.SSB#1, CellID#0.SSB#1, CellID#1.SSB#1, CellID#0.SSB#2, CellID#1.SSB#2, and CellID#1.SSB#3, respectively corresponding to… Picture 4 CellID#0.SSB index#1, CellID#0.SSBindex#1, CellID#1.SSB index#1, CellID#0.SSB index#2, CellID#1.SSB index#2, CellID#1.SSB index#3 in Picture 4 As shown, the target SSB beam index SSB#1 includes CellID#0.SSB#1 and CellID#1.SSB#1, where the foremost SSB beam index is CellID#0.SSB#1. Then, the PSS peak position of the foremost SSB beam index CellID#0.SSB#1 is determined.

[0124] Step 302: Determine the target detection range based on the PSS peak position, and determine the SSB beam index of the target cell located within the target detection range.

[0125] Here, after the server determines the foremost SSB beam index in the target SSB beam index based on the sorting results and determines the PSS peak position of the foremost SSB beam index, it can determine the target detection range based on the PSS peak position and determine the SSB beam index of the target cell located within the target detection range.

[0126] In one possible embodiment, after determining the PSS peak position of the foremost SSB beam index, the server determines the target detection range within a range T before and after the PSS peak position, and determines the SSB beam index of the target cell within the target detection range. It should be noted that the value of T can be flexibly set, for example, to the time of one symbol. The specific value of T is not limited here. For example, as shown... Picture 4 As shown, the server determines the target detection range within a time range of one symbol at the PSS peak position of the foremost SSB beam index CellID#0.SSB#1, and determines the SSB beam index of the target cell within the target detection range as SSB index#2 of CellID#3, i.e. Picture 4 CellID#3.SSB#2 in the database.

[0127] Step 303: Delete the beam indices in the SSB beam indices of the target cells within the target detection range that are different from the first SSB beam index to obtain the filtered SSB beam index.

[0128] Here, after the server determines the target detection range based on the PSS peak position and identifies the SSB beam index of the target cell within the target detection range, it deletes the beam indices of the target cells within the target detection range that are different from the first SSB beam index, thus obtaining the filtered SSB beam index.

[0129] In one possible embodiment, such as Picture 4 As shown, the SSB beam index of the target cell within the target detection range is SSB index#2 of CellID#3. Since SSB#2 of CellID#3 is different from SSB#1 of the first SSB beam index CellID#0, SSB index#2 of CellID#3 is deleted, resulting in the filtered SSB beam indexes: CellID#6.SSB index#4, CellID#0.SSB index#1, CellID#0.SSB index#1, CellID#1.SSB index#1, CellID#0.SSB index#2, CellID#1.SSB index#2, CellID#1.SSB index#3.

[0130] In this embodiment, firstly, the server determines the leading SSB beam index in the target SSB beam index based on the sorting results, and determines the PSS peak position of the leading SSB beam index. Then, the server determines the target detection range based on the PSS peak position, and determines the SSB beam index of the target cell within the target detection range. Finally, the server deletes beam indices in the SSB beam index of the target cell within the target detection range that are different from the leading SSB beam index, thus obtaining the filtered SSB beam index.

[0131] As described above, in this embodiment, the server determines the target detection range based on the PSS peak position of the foremost SSB beam index, thereby filtering the SSB beam indices of target cells within the target detection range, and finally determining the filtered SSB beam indices, eliminating false SSB beam indices, and further improving the reliability of the measurement cell list processing method.

[0132] In an optional embodiment, after the server determines the measurement cell list of the terminal based on the target cell, it can also maintain the measurement cell list. For example, the specific maintenance method can be as follows: First, the SSB beam indices that are not included in the measurement cell list in the historical cell list are determined as a beam index set, wherein the historical cell list is the measurement cell list obtained at a previous time in the above embodiment. Then, the signal-to-noise ratios of the SSB beam indices in the beam index set and the beam indices in the historical cell list are sorted from smallest to largest to obtain a sorted list. Finally, a preset number of SSB beam indices with the largest signal-to-noise ratios in the sorted list and the cells corresponding to the preset number of SSB beam indices with the largest signal-to-noise ratios are updated to the cell measurement list. It should be noted that the preset number can be flexibly set according to the actual situation and is not limited here.

[0133] In this embodiment, by updating the cell measurement list with a preset number of SSB beam indices with the highest signal-to-noise ratio and the cell information of the candidate cells corresponding to the preset number of SSB beam indices with the highest signal-to-noise ratio, the lifespan of high-confidence SSB beam indices in the cell measurement list can be increased, preventing high-confidence SSB beam indices and cells from not being measured, and further improving the accuracy and reliability of the cell measurement list processing method.

[0134] By dividing each functional module according to its corresponding function, this disclosure provides a processing device for measuring a cell list. This processing device for measuring a cell list can be a server or a chip applied to a server. Picture 5 A schematic block diagram of the functional modules of a cell list processing apparatus provided for an exemplary embodiment of this disclosure. Picture 5As shown, the processing device for the measurement cell list includes:

[0135] The acquisition module 501 is used to acquire cell information of the candidate cell to be measured by the terminal, and determine multiple SSB beam indices of the candidate cell based on the cell information.

[0136] The first determining module 502 is used to determine the credibility of the candidate cell based on the temporal positional relationship of multiple SSB beam indices of the candidate cell; wherein the temporal positional relationship is used to indicate the temporal distance between adjacent SSB beam indices among the multiple SSB beam indices.

[0137] The second determining module 503 is used to determine the target cell whose credibility meets the credibility threshold requirement, and to determine the measurement cell list of the terminal based on the target cell.

[0138] In one embodiment, the acquisition module 501 includes:

[0139] A blind detection unit is used to perform DMRS blind detection on the cell identifier of the candidate cell to obtain the candidate SSB beam index;

[0140] The first filtering unit is used to filter the candidate SSB beam indices of the candidate cells to obtain the plurality of SSB beam indices; wherein the plurality of SSB beam indices are included in the SSB measurement configuration parameters, and the plurality of SSB beam indices do not contain duplicate SSB beam indices.

[0141] In one embodiment, the acquisition module 501 includes:

[0142] The second filtering unit is used to filter the beam indices contained in the SSB measurement configuration parameters from the candidate SSB beam indices to obtain the first candidate index.

[0143] The first determining unit is used to determine the candidate index that appears repeatedly in the first candidate index to obtain the second candidate index;

[0144] The second determining unit is used to determine the second candidate index with the largest signal-to-noise ratio among the second candidate indices as multiple SSB beam indices of the candidate cell.

[0145] In one embodiment, the first determining module 502 includes:

[0146] The third determining unit is used to determine a first time distance between a first SSB beam index and its next SSB beam index among the plurality of SSB beam indices, and to determine a second time distance between a second SSB beam index and its next SSB beam index among the plurality of SSB beam indices; wherein the first SSB beam index and the second SSB beam index are different;

[0147] The fourth determining unit is used to determine the credibility of the candidate cell based on the first time distance and the second time distance.

[0148] In one embodiment, the first determining module 502 includes:

[0149] The fifth determining unit is used to determine the number of third time distances in the first time distance and the number of fourth time distances in the second time distance; wherein, the third time distance is the time distance in the first time distance that satisfies a first preset time distance, and the fourth time distance is the time distance in the second time distance that satisfies a second preset time distance;

[0150] The sixth determining unit is used to determine the credibility of the candidate cells based on the number of cells.

[0151] In one embodiment, the apparatus further includes:

[0152] The first deletion unit is used to delete some SSB beam indices in the target cell that do not meet the first preset time distance and / or the second preset time distance.

[0153] In one embodiment, the second determining module 503 includes:

[0154] The sorting unit is used to sort the SSB beam index of the target cell in a time-ordered manner under the target measurement scenario to obtain a sorting result; wherein, the target measurement scenario is used to indicate that the terminal and the cell to be measured are located at the same carrier frequency, and the SSB index derivation parameter is set to enable;

[0155] An identification unit is used to identify a target SSB beam index in the SSB beam index of each target cell; wherein the target SSB beam index corresponds to multiple target cells;

[0156] The third filtering unit is used to filter the SSB beam index of the target cell using the sorting result and the target SSB beam index to obtain the filtered SSB beam index.

[0157] The seventh determining unit is used to determine the list of measurement cells based on the target cell and the filtered SSB beam index of the target cell.

[0158] In one embodiment, the second determining module 503 includes:

[0159] The eighth determining unit is used to determine the foremost SSB beam index in the target SSB beam index based on the sorting result, and to determine the PSS peak position of the foremost SSB beam index.

[0160] The ninth determining unit is used to determine the target detection range based on the PSS peak position, and to determine the SSB beam index of the target cell located within the target detection range;

[0161] The second deletion unit is used to delete beam indices in the SSB beam indices of the target cell located within the target detection range that are different from the first SSB beam index, thereby obtaining the filtered SSB beam index.

[0162] This disclosure also provides an electronic device, including: at least one processor; a memory for storing processor-executable instructions; wherein the at least one processor is configured to execute the instructions to implement the methods disclosed in this disclosure.

[0163] Picture 6 This is a schematic diagram of the structure of an electronic device provided as an exemplary embodiment of this disclosure. For example... Picture 6 As shown, the electronic device 600 includes at least one processor 601 and a memory 602 coupled to the processor 601. The processor 601 can perform the corresponding steps in the methods disclosed in the embodiments of this disclosure.

[0164] The processor 601 described above can also be called a central processing unit (CPU), which can be an integrated circuit chip with signal processing capabilities. Each step in the method disclosed in this embodiment can be implemented by the integrated logic circuitry in the processor 601 or by software instructions. The processor 601 can be a general-purpose processor, a digital signal processor (DSP), an ASIC, a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the method disclosed in this embodiment can be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software modules can be located in the memory 602, such as random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, registers, or other mature storage media in the art. The processor 601 reads information from the memory 602 and, in conjunction with its hardware, completes the steps of the method described above.

[0165] Furthermore, various operations / processes according to this disclosure, implemented via software and / or firmware, can be transmitted from a storage medium or network to a computer system with a dedicated hardware architecture, such as... Picture 7 The computer system 700 shown is equipped with the programs that constitute the software. When various programs are installed, the computer system is able to perform various functions, including functions such as those described above. Picture 7 A block diagram of a computer system provided for an exemplary embodiment of this disclosure.

[0166] Computer system 700 is intended to represent various forms of digital electronic computer devices, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. Electronic devices may also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the present disclosure described and / or claimed herein.

[0167] like Picture 7As shown, the computer system 700 includes a computing unit 701, which can perform various appropriate actions and processes based on a computer program stored in a read-only memory (ROM) 702 or a computer program loaded from a storage unit 708 into a random access memory (RAM) 703. The RAM 703 may also store various programs and data required for the operation of the computer system 700. The computing unit 701, ROM 702, and RAM 703 are interconnected via a bus 704. An input / output (I / O) interface 705 is also connected to the bus 704.

[0168] Multiple components in the computer system 700 are connected to the I / O interface 705, including: an input unit 706, an output unit 707, a storage unit 708, and a communication unit 709. The input unit 706 can be any type of device capable of inputting information into the computer system 700. The input unit 706 can receive input numerical or character information and generate key signal inputs related to user settings and / or function control of the electronic device. The output unit 707 can be any type of device capable of presenting information and may include, but is not limited to, a monitor, speaker, video / audio output terminal, vibrator, and / or printer. The storage unit 708 may include, but is not limited to, a hard disk and an optical disk. The communication unit 709 allows the computer system 700 to exchange information / data with other devices via a network such as the Internet, and may include, but is not limited to, a modem, network card, infrared communication device, wireless communication transceiver, and / or chipset, such as Bluetooth™ device, WiFi device, WiMax device, cellular communication device, and / or the like.

[0169] The computing unit 701 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the computing unit 701 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 701 performs the various methods and processes described above. For example, in some embodiments, the methods disclosed in this disclosure can be implemented as a computer software program tangibly contained in a machine-readable medium, such as storage unit 708. In some embodiments, part or all of the computer program can be loaded and / or installed on the electronic device 600 via ROM 702 and / or communication unit 709. In some embodiments, the computing unit 701 can be configured to perform the methods disclosed in this disclosure by any other suitable means (e.g., by means of firmware).

[0170] This disclosure also provides a computer-readable storage medium, wherein when the instructions in the computer-readable storage medium are executed by a processor of an electronic device, the electronic device is able to perform the methods disclosed in this disclosure.

[0171] The computer-readable storage medium in this disclosure can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. The aforementioned computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specifically, the aforementioned computer-readable storage medium may include electrical connections based on one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0172] The aforementioned computer-readable medium may be included in the aforementioned electronic device; or it may exist independently and not assembled into the electronic device.

[0173] Picture 8 A computer program product 800 is provided as an exemplary embodiment of the present disclosure. The computer program product 800 includes a computer program 801, wherein the computer program 801, when executed by a processor, implements the methods disclosed in the embodiments of the present disclosure.

[0174] In embodiments of this disclosure, computer program code for performing the operations of this disclosure can be written in one or more programming languages ​​or a combination thereof. These programming languages ​​include, but are not limited to, object-oriented programming languages ​​such as Java, Smalltalk, and C++, as well as conventional procedural programming languages ​​such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network (including a local area network (LAN) or a wide area network (WAN)), or it can be connected to an external computer.

[0175] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this disclosure. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0176] The modules, components, or units described in the embodiments of this disclosure can be implemented in software or hardware. The names of the modules, components, or units do not necessarily constitute a limitation on the module, component, or unit itself.

[0177] The functions described above in this document can be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary hardware logic components that can be used include: field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), system-on-a-chip (SoCs), complex programmable logic devices (CPLDs), and so on.

[0178] The above description is merely an embodiment of this disclosure and an explanation of the technical principles employed. Those skilled in the art should understand that the scope of this disclosure is not limited to technical solutions formed by specific combinations of the above-described technical features, but should also cover other technical solutions formed by arbitrary combinations of the above-described technical features or their equivalents without departing from the above-described concept. For example, technical solutions formed by substituting the above features with (but not limited to) technical features disclosed in this disclosure that have similar functions.

[0179] While specific embodiments of this disclosure have been described in detail by way of example, those skilled in the art should understand that the examples are for illustrative purposes only and not intended to limit the scope of this disclosure. Those skilled in the art should understand that modifications can be made to the above embodiments without departing from the scope and spirit of this disclosure. The scope of this disclosure is defined by the appended claims.

Claims

1. A method for processing a list of measurement cells, characterized in that, include: Obtain cell information of candidate cells to be measured from the terminal, and determine multiple SSB beam indices of the candidate cells based on the cell information; The credibility of the candidate cell is determined based on the temporal positional relationship of multiple SSB beam indices of the candidate cell; wherein, the temporal positional relationship is used to indicate the temporal distance between adjacent SSB beam indices among the multiple SSB beam indices. Identify the target cell whose credibility meets the credibility threshold requirement, and determine the measurement cell list of the terminal based on the target cell.

2. The method according to claim 1, characterized in that, The step of determining multiple SSB beam indices for the candidate cells based on the cell information includes: Perform DMRS blind detection on the cell identifiers of the candidate cells to obtain the candidate SSB beam index; The candidate SSB beam indices of the candidate cells are filtered to obtain the plurality of SSB beam indices; wherein the plurality of SSB beam indices are included in the SSB measurement configuration parameters, and the plurality of SSB beam indices do not contain duplicate SSB beam indices.

3. The method according to claim 2, characterized in that, The process of filtering the candidate SSB beam indices of the candidate cells to obtain the plurality of SSB beam indices includes: The first candidate index is obtained by filtering the beam indices contained in the SSB measurement configuration parameters from the candidate SSB beam indices. The candidate indices that appear repeatedly in the first candidate index are identified to obtain the second candidate index; The second candidate index with the highest signal-to-noise ratio among the second candidate indices is determined as one of the multiple SSB beam indices of the candidate cell.

4. The method according to claim 1, characterized in that, The determination of the credibility of the candidate cell based on the temporal positional relationship of multiple SSB beam indices of the candidate cell includes: A first time distance is determined between a first SSB beam index and its next SSB beam index among the plurality of SSB beam indices, and a second time distance is determined between a second SSB beam index and its next SSB beam index among the plurality of SSB beam indices; wherein the first SSB beam index and the second SSB beam index are different; The credibility of the candidate cell is determined based on the first time distance and the second time distance.

5. The method according to claim 4, characterized in that, Determining the credibility of the candidate cell based on the first time distance and the second time distance includes: Determine the number of third time distances in the first time distance, and determine the number of fourth time distances in the second time distance; wherein, the third time distance is the time distance in the first time distance that satisfies a first preset time distance, and the fourth time distance is the time distance in the second time distance that satisfies a second preset time distance; The credibility of the candidate cells is determined based on the number of cells.

6. The method according to claim 5, characterized in that, After determining the target cell whose credibility meets the credibility threshold requirement, the method further includes: Delete the SSB beam indices in the target cell that do not meet the first preset time distance and / or the second preset time distance.

7. The method according to claim 1, characterized in that, The step of determining the measurement cell list for the terminal based on the target cell includes: In the target measurement scenario, the SSB beam index of the target cell is sorted by time to obtain the sorting result; wherein, the target measurement scenario is used to indicate that the terminal and the cell to be measured are located at the same carrier frequency, and the SSB index derivation parameter is set to enable; Identify the target SSB beam index in the SSB beam index of each target cell; wherein, the target SSB beam index corresponds to multiple target cells; The SSB beam index of the target cell is filtered using the sorting results and the target SSB beam index to obtain the filtered SSB beam index. The list of measurement cells is determined based on the target cell and the filtered SSB beam index of the target cell.

8. The method according to claim 7, characterized in that, The step of filtering the SSB beam index of the target cell using the sorting result and the target SSB beam index to obtain the filtered SSB beam index includes: Based on the sorting results, the foremost SSB beam index in the target SSB beam index is determined, and the PSS peak position of the foremost SSB beam index is determined. The target detection range is determined based on the PSS peak position, and the SSB beam index of the target cell located within the target detection range is determined. The beam indices that are different from the first SSB beam index in the SSB beam index of the target cell within the target detection range are deleted to obtain the filtered SSB beam index.

9. A processing apparatus for measuring a list of cells, characterized in that, include: The acquisition module is used to acquire cell information of candidate cells to be measured by the terminal, and determine multiple SSB beam indices of the candidate cells based on the cell information. The first determining module is used to determine the credibility of the candidate cell based on the temporal positional relationship of multiple SSB beam indices of the candidate cell; wherein the temporal positional relationship is used to indicate the temporal distance between adjacent SSB beam indices among the multiple SSB beam indices. The second determining module is used to determine the target cell whose credibility meets the credibility threshold requirement, and to determine the measurement cell list of the terminal based on the target cell.

10. An electronic device, characterized in that, include: At least one processor; Memory for storing the at least one processor-executable instruction; The at least one processor is configured to execute the instructions to implement the method as described in any one of claims 1-8.

11. A computer-readable storage medium, characterized in that, When the instructions in the computer-readable storage medium are executed by the processor of the electronic device, the electronic device is enabled to perform the method as described in any one of claims 1-8.

12. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the method as described in any one of claims 1-8.

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