Method for determining reselection decision parameters, method for cell reselection, electronic device, and computer-readable medium - Patents.com

Abstract

The present disclosure provides a method for determining a reselection decision parameter, the method including the steps of: obtaining measurement information of an adjacent area of ​​a cell currently residing in a user equipment UE; and performing a normalization process according to a predetermined rule on the obtained measurement information to obtain a reselection decision parameter that satisfies a predetermined requirement, wherein the reselection decision parameter obtained after performing the normalization process according to the predetermined rule on at least one type of cell data satisfies the predetermined requirement. The present disclosure further provides a method for cell reselection, an electronic device, and a computer-readable storage medium.

Description

[Technical field]

[0001] This application claims priority from Patent Application No. 202110738081.5 filed with the China Patent Office on June 30, 2021, the entire contents of which are incorporated herein by reference.

[0002] The present disclosure relates to, but is not limited to, communications technology. [Background technology]

[0003] With the deployment of 5G (fifth generation mobile communication technology) networks, more and more 5G user equipment (UE) are being released. Due to the high frequency band and narrow cell coverage of 5G networks, UEs need to reselect 4G networks to support residence in areas without 5G network coverage. Summary of the Invention [Problem to be solved by the invention]

[0004] However, if the UE needs to obtain high speed in the coverage area of ​​the 5G network, it can select the 5G network and support resident. Therefore, the modem baseband chip of the UE needs to support two systems, 5G and 4G (fourth generation mobile communication technology), and simultaneously support multi-mode interoperation between the two systems. [Means for solving the problem]

[0005] The present disclosure provides a method for determining a reselection decision parameter, a method for cell reselection, a cell reselection device, a computer-readable medium and a chip. In a first aspect, the present disclosure provides a method for producing a method for a method of manufacturing a semiconductor device, comprising: obtaining measurement information of an adjacent area of ​​a cell currently occupied by the user equipment (UE); A step of performing a normalization process according to a predetermined rule on the acquired measurement information to obtain a reselection judgment parameter that satisfies a predetermined requirement. The reselection judgment parameter obtained after performing the normalization process according to the predetermined rule on the cell data of at least one method satisfies the predetermined requirement. A method for determining reselection decision parameters is provided.

[0006] In a second aspect, the present disclosure provides a method for producing a method for a method of manufacturing a semiconductor device comprising: obtaining a reselection decision parameter for each target frequency point; calculating an evaluation value for each target frequency point based on the reselection judgment parameter; Evaluating the evaluation value of each target frequency point according to a preset judgment rule to determine a candidate cell at each target frequency point; determining a reselected cell from the candidate cells; The reselection decision parameter is a reselection decision parameter obtained based on a method for determining a reselection decision parameter provided by a first aspect of the present disclosure. A method for cell reselection is provided.

[0007] In a third aspect, the present disclosure provides a method for producing a method for manufacturing a method for ... semiconductor device, comprising: one or more processors; A memory having one or more programs stored therein, the one or more programs, when executed by one or more of the processors, causing the one or more processors to implement a method provided by the first or second aspect of the present disclosure; one or more I / O interfaces coupled between the processor and the memory and arranged to facilitate information interaction between the processor and the memory. An electronic device is provided.

[0008] In a fourth aspect, the present disclosure provides a method for producing a method for manufacturing a semiconductor device comprising: A computer program is stored in the When the program is executed by a processor, the program realizes the method provided by the first or second aspect of the present disclosure. A computer readable medium is provided. [Brief description of the drawings]

[0009] [Figure 1] FIG. 1 is a flow diagram of an exemplary embodiment of a method for determining reselection decision parameters provided by the present disclosure. [Diagram 2] FIG. 2 is a flow diagram of an exemplary embodiment of step S110. [Diagram 3] FIG. 3 is a flow diagram of an example embodiment of a cell reselection method provided by the present disclosure. [Figure 4] FIG. 4 is a modular schematic diagram of an electronic device provided by the present disclosure. [Diagram 5] FIG. 5 is a schematic diagram of a computer-storable medium provided by the present disclosure. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0010] In order to enable those skilled in the art to better understand the technical solution of the present disclosure, the following detailed description is provided in combination with drawings and exemplary embodiments.

[0011] Exemplary embodiments are described more fully below with reference to the drawings, but the exemplary embodiments may be embodied in different forms and should not be construed as being limited to the embodiments described herein. On the contrary, the purpose of providing these embodiments is to make the disclosure clear and complete, and to allow those skilled in the art to fully understand the scope of the disclosure.

[0012] Unless contradictory, the embodiments and features of the embodiments in the present application can be combined with each other.

[0013] As used herein, the term "and / or" includes any and all combinations of one or more of the associated listed items.

[0014] The terms used herein are merely for the purpose of describing particular embodiments and are not intended to limit the disclosure. Unless otherwise clearly indicated in the context, the singular forms "a," "an," and "the" used herein are intended to include the plural. Additionally, the use of the terms "comprising" and / or "formed by" herein indicates the presence of the feature, whole, step, operation, member, and / or component, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, members, components, and / or groups thereof.

[0015] Unless otherwise specified, the meaning of all terms (including technical and scientific terms) used in the present specification is the same as that commonly understood by those skilled in the art. For example, terms that are defined in a common dictionary should be interpreted as having a meaning consistent with the meaning in the context of the relevant art and this disclosure, and it is also understood that they are not interpreted as having an idealized or excessively formal meaning unless the present specification clearly limits them.

[0016] If a 4G modem baseband chip wants to support 5G, it needs to design reselection decision modules for both 5G and 4G and add corresponding 5G function code and processing logic, which increases the design complexity of the 5G and 4G multi-mode radio control layer and the memory space required to run the modem baseband chip.

[0017] The reselection decision parameter determination method and cell reselection method provided in the present disclosure adopt a commonly used method to realize multi-mode normalized reselection decision when a multi-mode user equipment resides in a 5G cell or a 4G cell, simplifying the design complexity of the 5G and 4G multi-mode radio control layer and reducing the memory space required for the operation of the modem baseband chip.

[0018] In a first aspect, the present disclosure provides a method for determining a reselection decision parameter, as shown in Figure 1, the method for determining a reselection decision parameter may include the following steps S110 and S120.

[0019] In step S110, measurement information of an adjacent area of ​​a cell currently residing in the user equipment UE is obtained. The configuration of the measurement information is for determining a reselection decision parameter. In step S120, a normalization process according to a predetermined rule is performed on the obtained measurement information to obtain a reselection decision parameter that satisfies a predetermined requirement, and the reselection decision parameter obtained by performing the normalization process according to the predetermined rule on at least one type of cell data can satisfy the predetermined requirement.

[0020] The determination method provided by the present disclosure may be used in combination with the cell reselection method provided by the second aspect of the present disclosure.

[0021] When reselecting a cell, adjacent areas of the same type may be selected, or adjacent areas of different types may be selected. In the present disclosure, before the reselected cell is determined, a normalization process is performed on the obtained measurement information. When the measurement information includes data of different cells, the reselection judgment parameters of the cells of different types all meet certain requirements. Therefore, when determining the reselected cell using the cell reselection method provided by the second aspect of the present disclosure, the cell reselection can be performed without needing to consider the difference between the measurement data of the cells of different types.

[0022] By simply making a simple software extension to the modem chip, the modem chip can be made to execute the determination method and cell reselection method disclosed herein, and no hardware extension is required for the modem chip, thereby reducing the cost of the modem chip.

[0023] In the present disclosure, there is no particular limitation on how to obtain the measurement information of the neighboring area of ​​the UE's current resident cell. As an exemplary embodiment, as shown in FIG. 2, step S110 of obtaining the measurement information of the neighboring area of ​​the UE's current resident cell may include steps S111 to S113.

[0024] In step S111, frequency points waiting to be measured are obtained from the system information in the system information block SIB of the currently resident cell.

[0025] In step S112, an effective frequency point to which a priority has been set among the frequency points waiting to be measured is set as a target frequency point.

[0026] In step S113, the measurement information of the adjacent area of ​​the UE's current residence cell is determined from the measurement information of the target frequency point.

[0027] In the present disclosure, only the survey data of the effective frequency points to which priorities are assigned is processed, thereby reducing the total amount of data processing and improving the execution efficiency of the determination method.

[0028] In the present disclosure, there is no special provision for the specific type of measurement information, and the measurement information that needs to be acquired can be determined based on the reselection judgment rule. For example, based on the reselection judgment rule specified in the 3GPP protocol, parameters such as the S value, R value, reselection threshold, cell evaluation time, and frequency point priority of the cell must be used when making the reselection judgment. As those skilled in the art will understand, the S value described herein includes a cell selection RX level value Srexlv and a cell selection quality value Squal. The R value described herein includes a serving cell level designation value Rs (cell-ranking criterion Rs for serving cell) and a neighboring area level designation value Rn (cell-ranking criterion Rn for neighboring cells).

[0029] Regarding the cell evaluation time, the accuracy of the cell evaluation time included in the measurement information may be different for cells of different methods. For example, for a cell of a 5G method, the accuracy of the cell evaluation time in the measurement information may be one decimal place, and for a cell of a 4G method, the accuracy of the cell evaluation time in the measurement information may be an integer. In this situation, the normalization process of the cell evaluation time can be realized by a method called scaling. For the convenience of distinction, the cell evaluation time in the measurement information is called the initial evaluation time, and the cell evaluation time in the reselection judgment parameter is called the normalized evaluation time. Accordingly, the normalization process for the initial evaluation time in step S120 includes a step of performing a scaling process of a first predetermined multiple on the initial evaluation time to obtain the normalized evaluation time. The accuracy level of the normalized evaluation time of cells of different methods is the same.

[0030] In the present disclosure, no special limitations are imposed on the first predetermined multiple, and it is sufficient that the cell evaluation times in various methods have the same accuracy level as the normalized evaluation times obtained through normalization processing (for example, all normalized evaluation times are integers).

[0031] As for the S value of a cell, it is necessary to calculate and obtain it using the incremental parameters included in the survey information. In cells of different types, the incremental parameters for calculating the S value included in the survey information may be different in positive and negative. For example, in the case of a cell of the 5G type, the incremental parameters for calculating the S value in the survey information may all be positive values. In the case of a cell of the 4G type, the incremental parameters for calculating the S value in the survey information may be positive or negative. In this situation, the calculation of the incremental parameters of the S value can be realized by increasing the offset amount. For convenience of distinction, all of the multiple incremental parameters for calculating the S value in the survey information are called initial first parameters. Accordingly, the reselection judgment parameters include normalized first incremental parameters. The S value obtained by calculating the initial first parameters is called the initial S value. Accordingly, in step S120, the normalization process for the initial first parameters may include adding all of the initial first parameters to obtain a sum of the first parameters, and adding the sum of the first parameters to the first offset amount to obtain a normalized first incremental parameter. The normalized first increment parameters are all positive values, and the first offset amounts corresponding to cells of different types are the same.

[0032] In the present disclosure, there is no particular limitation on the magnitude of the first offset amount, and it is sufficient if a positive value can be obtained by adding the initial first parameters in different methods to the first offset amount.

[0033] Similarly, the R value of a cell needs to be calculated and obtained using the incremental parameters included in the measurement information. The incremental parameters for calculating the R value included in the measurement information of cells of different types may be different in positive and negative. For example, in the case of a 5G type cell, the incremental parameters for calculating the R value in the measurement information may all be positive values. In the case of a 4G type cell, the incremental parameters for calculating the R value in the measurement information may have both positive and negative values. In this situation, the calculation of the incremental parameters of the R value can be realized by increasing the offset amount. For convenience of distinction, the multiple incremental parameters for calculating the R value in the measurement information are all referred to as initial second parameters, and accordingly, the reselection judgment parameters include normalized second incremental parameters. The R value obtained by calculating the initial second parameters is referred to as the initial R value. Accordingly, in step S120, the normalization process of the initial second parameters may include adding all the initial second parameters to obtain a sum of second parameters, and adding the second parameter to the second offset amount to obtain a normalized second incremental parameter. The normalized second increment parameters are all positive values, and the second offset amounts corresponding to cells of different types are the same.

[0034] In the present disclosure, the magnitude of the second offset amount is not particularly limited, and it is sufficient that all of the second offset amounts become positive values ​​after the initial second parameters in different equations are added to the second offset amounts.

[0035] As for the reselection threshold, the positive and negative values ​​of cells of different methods may also be different. Note that the "reselection threshold" here includes the S-value reselection threshold and the R-value reselection threshold.

[0036] For convenience of explanation, the reselection threshold in the survey information is referred to as the initial reselection threshold, and the reselection threshold in the reselection judgment parameter is referred to as the normalized reselection threshold. In step S120 of performing a normalization process according to a predetermined rule on the acquired survey information, the normalization process for the initial reselection threshold may include adding the initial reselection threshold to a third offset amount to obtain the normalized reselection threshold. The normalized reselection threshold is a positive value, and the third offset amount corresponding to cells of different methods is the same.

[0037] Note that the reselection threshold corresponding to the S value and the reselection threshold corresponding to the R value are not the same.

[0038] Further, the initial reselection threshold includes an in-frequency initial reselection threshold and / or an inter-frequency initial reselection threshold.

[0039] Regarding the priority, the accuracy of the priority of cells of different methods may also be different. For convenience of explanation, the priority of the frequency point included in the measurement information is called the initial priority, and the priority in the reselection judgment parameter is called the normalized priority. In step S120 of performing a normalization process according to a predetermined rule on the acquired measurement information, the normalization process on the initial priority may include performing a scaling process of a second predetermined multiple on the initial priority to obtain a normalized priority. The second predetermined multiple corresponding to cells of different methods is the same, and the accuracy level of the normalized priority of cells of different methods is the same.

[0040] For convenience of data processing, in an exemplary embodiment, the determination method may further include the step of performing data assembly for the reselection decision parameters at each frequency point in step S130, thereby storing them in a cache.

[0041] It is necessary to execute steps S110 to S130 for each frequency point until the measurement data for all target frequency points has been processed.

[0042] In a second aspect, a cell reselection method is provided, which may include steps S210 to S240, as shown in FIG.

[0043] In step S210, a reselection decision parameter is obtained for each target frequency point, where the reselection decision parameter is obtained according to the reselection decision parameter determination method provided in the first aspect of the present disclosure.

[0044] In step S220, an evaluation value for each target frequency point is calculated based on the reselection judgment parameters.

[0045] In step S230, the evaluation value of each target frequency point is evaluated according to a preset judgment rule, and a candidate cell at each target frequency point is determined.

[0046] In step S240, a reselected cell is determined from the candidate cells.

[0047] As described above, the reselection decision parameters have been normalized, so they are no longer affected by the cell type, and cell reselection can be performed using the method provided by the present disclosure regardless of the type of cell data used for the survey data.

[0048] Here, the evaluation value may be an evaluation value required for making a judgment according to a predetermined rule. If the predetermined rule is a 3GPP rule, the evaluation value may include an S value and an R value.

[0049] When the evaluation value includes a normalized S value, the reselection decision parameters include a normalized first increment parameter, a normalized evaluation time, and a normalized reselection threshold.

[0050] Accordingly, calculating the normalized S value based on the normalized first incremental parameter includes adding the normalized first incremental parameter to a first measurement value to obtain the normalized S value.

[0051] The step of evaluating the evaluation value of any target frequency point in accordance with the predetermined rule includes a step of determining whether the normalized S value of an adjacent region exceeds a corresponding normalized reselection threshold within the normalized evaluation time, and a step of designating the adjacent region whose normalized S value exceeds the corresponding normalized reselection threshold as the candidate cell.

[0052] The second measurement value refers to the parameter value used to calculate the S value, obtained by measurement in the physical layer.

[0053] When the evaluation value includes a normalized R value, the reselection decision parameters include a normalized second increment parameter, a normalized evaluation time, and a normalized reselection threshold.

[0054] Accordingly, calculating the normalized R value based on the normalized second incremental parameter includes adding the normalized second incremental parameter and a second measurement value to obtain the normalized R value.

[0055] The step of evaluating the evaluation value of any target frequency point according to the predetermined rule includes a step of determining whether the normalized R value of an adjacent region exceeds a corresponding normalized reselection threshold within the normalized evaluation time, and a step of designating the adjacent region whose normalized R value exceeds the corresponding normalized reselection threshold as the candidate cell.

[0056] Here, the second measurement value is a parameter value for calculating the R value measured in the physical layer.

[0057] Upon obtaining a plurality of the candidate cells, determining a reselected cell from the candidate cells includes determining a cell having a highest normalized priority as the reselected cell.

[0058] The following describes a determination method provided by a first aspect of the present disclosure and a method provided by a second aspect of the present disclosure by combining two exemplary embodiments.

[0059] [First Exemplary Embodiment] The cell in which the UE currently resides is a 5G cell.

[0060] First, the determination method provided by the first aspect of the present disclosure is implemented, which obtains measurement information of the same-frequency adjacent area, different-frequency adjacent area and 4G different-type adjacent area of ​​the cell from five system information of system information blocks 1 / 2 / 3 / 4 / 5 of the UE's current residence cell, and includes a number of initial first parameters for calculating an initial S value, a number of initial second parameters for calculating an initial R value, an initial priority of each frequency point, an initial reselection threshold of the same frequency (including the initial reselection threshold of the same frequency for the S value, the initial reselection threshold of the same frequency for the R value), an initial reselection threshold of different frequencies and other parameters (including the initial reselection threshold of different frequencies for the S value, the initial reselection threshold of different frequencies for the R value).

[0061] For each target frequency point, the plurality of initial first parameters are summed to obtain a sum of first parameters, and the sum of first parameters is added to a first offset amount to obtain a normalized incremental first parameter.

[0062] For each target frequency point, the plurality of initial second parameters are summed to obtain a sum of second parameters, and the sum of second parameters is added to a second offset amount to obtain a normalized incremental second parameter.

[0063] For each target frequency point, the four reselection thresholds are added to the corresponding third offset amounts to obtain four normalized reselection thresholds.

[0064] For each target frequency point, the initial estimate time is scaled by a first predetermined factor to obtain a normalized initial estimate time.

[0065] For each frequency point, the initial priority is scaled by a second predetermined factor to obtain a normalized priority.

[0066] Then, execute the cell reselection method provided by the second aspect of the present disclosure, obtain each reselection judgment parameter, calculate and obtain the normalized S value and the normalized R value, and determine the reselected cell by judging either the normalized S value or the normalized R value according to the 3GPP principle, as follows:

[0067] The step of evaluating the evaluation value of any target frequency point in accordance with the predetermined rule includes a step of determining whether the normalized S value of an adjacent region exceeds a corresponding normalized reselection threshold within the normalized evaluation time, and a step of designating the adjacent region whose normalized S value exceeds the corresponding normalized reselection threshold as the candidate cell.

[0068] The step of evaluating the evaluation value of any target frequency point in accordance with the predetermined rule includes a step of determining whether the normalized R value of an adjacent region exceeds a corresponding normalized reselection threshold within the normalized evaluation time, and a step of designating the adjacent region whose normalized R value exceeds the corresponding normalized reselection threshold as the candidate cell.

[0069] When a plurality of the candidate cells are obtained, determining a reselected cell from the candidate cells includes determining a cell having a highest normalized priority as the reselected cell.

[0070] Second Exemplary Embodiment The cell in which the UE currently resides is a 4G cell.

[0071] First, the determination method provided by the first aspect of the present disclosure is implemented. The measurement information for obtaining the same-frequency adjacent area, different-frequency adjacent area, and 5G different-type adjacent area of ​​the cell from the five system information of the system information blocks 1 / 3 / 5 / 6 / 7 of the UE's current residence cell includes a number of initial first parameters for calculating the initial S value, a number of initial second parameters for calculating the initial R value, the initial priority of each frequency point, the same-frequency initial reselection threshold (including the same-frequency initial reselection threshold for the S value, the same-frequency initial reselection threshold for the R value), the different-frequency initial reselection threshold, and other parameters (including the different-frequency initial reselection threshold for the S value, the different-frequency initial reselection threshold for the R value).

[0072] For each target frequency point, the multiple initial first parameters are summed to obtain a sum of the first parameters, and the sum of the first parameters is added to a first offset amount to obtain a normalized incremental first parameter.

[0073] For each target frequency point, the plurality of initial second parameters are summed to obtain a sum of second parameters, and the sum of second parameters is added to a second offset amount to obtain a normalized incremental second parameter.

[0074] For each target frequency point, the four reselection thresholds are added to the corresponding third offset amounts to obtain four normalized reselection thresholds.

[0075] For each target frequency point, the initial estimate time is scaled by a first predetermined factor to obtain a normalized initial estimate time.

[0076] For each frequency point, the initial priority is scaled by a second predetermined factor to obtain a normalized priority.

[0077] Then, execute the cell reselection method provided by the second aspect of the present disclosure. Obtain each reselection judgment parameter, calculate and obtain the normalized S value and the normalized R value, and determine the reselected cell by judging either the normalized S value or the normalized R value according to the 3GPP principle. Specifically, the method is as follows:

[0078] The step of evaluating the evaluation value of any target frequency point in accordance with the predetermined rule includes a step of determining whether the normalized S value of an adjacent region exceeds a corresponding normalized reselection threshold within the normalized evaluation time, and a step of designating the adjacent region whose normalized S value exceeds the corresponding normalized reselection threshold as the candidate cell.

[0079] The step of evaluating the evaluation value of any target frequency point in accordance with the predetermined rule includes a step of determining whether the normalized R value of an adjacent region exceeds a corresponding normalized reselection threshold within the normalized evaluation time, and a step of designating the adjacent region whose normalized R value exceeds the corresponding normalized reselection threshold as the candidate cell.

[0080] When a plurality of the candidate cells are obtained, determining a reselected cell from the candidate cells includes determining a cell having a highest normalized priority as the reselected cell.

[0081] In a third aspect, as shown in FIG. 4, the present disclosure provides a method for manufacturing a method for a semiconductor device comprising: one or more processors 501; a memory 502 having one or more programs stored therein, the one or more programs being configured, when executed by one or more processors, to cause the one or more processors to implement a method according to any of the first or second aspects described above; one or more I / O interfaces 503 coupled between the processor and the memory and configured to facilitate information interaction between the processor and the memory; The present invention provides an apparatus comprising:

[0082] Here, the processor 501 is a device having data processing capabilities, including but not limited to a central processor (CPU). The memory 502 is a device having data storage capabilities, including but not limited to a random access memory (RAM, more specifically, for example, SDRAM, DDR, etc.), a read only memory (ROM), an electrically erasable programmable read only memory (EEPROM), and a flash memory (FLASH). The I / O interface (read / write interface) 503 is connected between the processor 501 and the memory 502, and can realize information interaction between the processor 501 and the memory 502, including but not limited to a data bus (Bus).

[0083] In some embodiments, the processor 501, memory 502 and I / O interface 503 are connected to each other and to other components of the computing device via a bus 504.

[0084] In four aspects, as shown in FIG. A computer program is stored in the memory, and when the program is executed by a processor, the computer realizes either the first or second aspect of the above. A computer readable medium is provided.

[0085] It should be understood by those skilled in the art that all or some of the steps of the methods, systems, and devices disclosed above may be implemented as software, firmware, hardware, and appropriate combinations thereof. In hardware embodiments, the division between the functional modules and / or means mentioned in the above description does not necessarily correspond to the division of physical components, for example, one physical component may have multiple functions, or one function or step may be performed by several components in cooperation. Some or all of the physical components may be implemented as software executed by a processor, such as a central processor, digital signal processor, or microprocessor, or may be implemented as hardware, or may be implemented as an integrated circuit, such as a dedicated integrated circuit. Such software may be disposed on a computer-readable medium, which may include computer storage media (or non-transitory media) and communication media (or transitory media). As known to those skilled in the art, the term computer storage media includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information (e.g., computer-readable instructions, data structures, program modules, or other data). Computer storage media may include, but is 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 that can be accessed by a computer. In addition, those skilled in the art will appreciate that communication media typically include computer readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transmission mechanism and may include any information delivery media.

[0086] Although exemplary embodiments are disclosed herein and specific terms are employed, they should be used and interpreted in a general illustrative sense only and not for limiting purposes. In some instances, it will be apparent to those skilled in the art that, unless expressly indicated otherwise, features, characteristics and / or elements described in combination with a particular embodiment may be used alone or features, characteristics and / or elements described in combination with other embodiments may be used in combination. Thus, those skilled in the art will appreciate that various changes in form and detail may be made without departing from the scope of the present disclosure as set forth in the appended claims.

Claims

1. obtaining measurement information of a neighboring area of ​​a currently residing cell of the user equipment UE, the measurement information including a parameter for cell reselection decision defined in a 3GPP protocol; A step of performing a normalization process according to a predetermined rule on the acquired measurement information to obtain a reselection judgment parameter that satisfies a predetermined requirement. The measurement information includes a cell evaluation time, and the reselection decision parameter includes a normalized evaluation time; The normalization of the cell evaluation time is achieved by performing a scaling process on the cell evaluation time to obtain the normalized evaluation time; The reselection judgment parameter that satisfies the predetermined requirement includes normalized evaluation times of different methods obtained by performing a scaling process on the cell evaluation time, and the normalized evaluation times of different methods obtained by performing a scaling process on the cell evaluation time have the same accuracy level. Method for determining reselection decision parameters.

2. The step of obtaining measurement information of a neighboring area of ​​a currently residing cell of the user equipment UE includes: A step of obtaining a frequency point waiting to be surveyed from system information of a system information block SIB of a currently resident cell; A step of setting a priority-set valid frequency point among the frequency points waiting for measurement as a target frequency point; determining measurement information of a neighboring area of ​​a cell currently occupied by the UE from the measurement information of the target frequency point; The method of claim 1.

3. The survey information includes an initial evaluation time for each of the target frequency points as the cell evaluation time, and the reselection judgment parameter includes the normalized evaluation time; In the step of performing a normalization process according to a predetermined rule on the acquired measurement information, the normalization process of the initial evaluation time is Scaling the initial evaluation time by a first predetermined factor to obtain a normalized evaluation time; The accuracy level of normalized evaluation time of cells of different methods is the same. The method of claim 2.

4. The measurement information includes a plurality of initial first parameters for each of the target frequency points, the reselection judgment parameters include a normalization first increment parameter, and an initial S value for calculating the target frequency point is disposed in the initial first parameters; In the step of performing a normalization process according to a predetermined rule on the acquired measurement information, the normalization process on the initial first parameters is adding all the initial first parameters to obtain a sum of first parameters, and adding the sum of the first parameters to a first offset amount to obtain a normalized first incremental parameter; The normalization first increment parameter is a positive value, and the first offset amounts corresponding to cells of different types are the same. The method of claim 2.

5. The measurement information includes a plurality of initial second parameters for each of the target frequency points, the reselection judgment parameters include a normalization second increment parameter, and an initial R value for calculating the target frequency point is disposed in the initial second parameters; In the step of performing a normalization process according to a predetermined rule on the acquired measurement information, the normalization process on the initial second parameters is adding all of the initial second parameters to obtain a sum of second parameters, and adding the sum of the second parameters to a second offset amount to obtain the normalized second incremental parameter; The normalization second increment parameter is a positive value, and the second offset amounts corresponding to cells of different types are the same. The method of claim 2.

6. The measurement information includes an initial reselection threshold for each of the target frequency points, and the reselection judgment parameters include a normalized reselection threshold; In the step of performing normalization processing according to a predetermined rule on the acquired measurement information, the step of performing normalization processing on the initial reselection threshold value includes: adding an initial reselection threshold to a third offset amount to obtain the normalized reselection threshold; The normalized reselection threshold is a positive value, and the third offset amounts corresponding to cells of different types are the same. The method of claim 2.

7. The initial reselection threshold includes an in-frequency initial reselection threshold and / or an inter-frequency initial reselection threshold. The method according to claim 6.

8. the measurement information includes initial priority information for each of the target frequency points; In the step of performing normalization processing on the acquired measurement information according to a predetermined rule, the normalization processing of the initial priority information is Scaling the initial priority information by a second predetermined factor to obtain a normalized priority; The second predetermined multiples corresponding to the cells of different types are the same, and the precision levels of the normalized priorities of the cells of different types are the same. The method of claim 2.

9. The method further includes: performing data assembly for the reselection decision parameters at each frequency point and storing the data in a cache. The method according to any one of claims 1 to 8.

10. obtaining a reselection decision parameter for each target frequency point; calculating an evaluation value for each target frequency point based on the reselection judgment parameter; Evaluating the evaluation value of each target frequency point according to a preset judgment rule, and determining a candidate cell at each target frequency point; determining a reselected cell from the candidate cells; The reselection decision parameter is a reselection decision parameter obtained by a method for determining a reselection decision parameter according to any one of claims 1 to 8. A method for cell reselection.

11. The reselection decision parameters include a normalized first increment parameter, a normalized evaluation time, and a normalized reselection threshold, and the evaluation value includes a normalized S value; Calculating the normalized S value based on the normalized first incremental parameter includes: adding the normalized first incremental parameter to the first measurement to obtain the normalized S-value; The step of evaluating an evaluation value of an arbitrary target frequency point according to the predetermined rule includes: determining whether the normalized S-value of the neighboring region exceeds a corresponding normalized reselection threshold within the normalized evaluation time; and determining the neighboring region whose normalized S-value exceeds a corresponding normalized reselection threshold as the candidate cell. The method of claim 10.

12. The reselection decision parameters include a normalized second increment parameter, a normalized evaluation time, and a normalized reselection threshold, and the evaluation value includes a normalized R value; Calculating the normalized R value based on the normalized second incremental parameter includes: adding the normalized second incremental parameter to a second measurement to obtain the normalized R value; The step of evaluating an evaluation value of an arbitrary target frequency point according to the predetermined rule includes: determining whether the normalized R value of the adjacent region exceeds a corresponding normalized reselection threshold within the normalized evaluation time; and determining that the candidate cell is a neighboring region whose normalized R value exceeds a corresponding normalized reselection threshold. The method of claim 10.

13. When acquiring a plurality of the candidate cells, determining a reselected cell from the candidate cells includes determining a cell having the highest normalized priority as the reselected cell. The method of claim 10.

14. one or more processors; a memory having one or more programs stored therein, the one or more programs causing the one or more processors to implement the method according to any one of claims 1 to 8 when executed by the one or more processors; one or more I / O interfaces coupled between the processor and the memory and arranged to facilitate information interaction between the processor and the memory. Electronic devices.

15. A computer program is stored, which, when executed by a processor, implements the method according to any one of claims 1 to 8. Computer-readable medium.

16. One or more processors; a memory having one or more programs stored therein, the one or more programs, when executed by the one or more processors, causing the one or more processors to implement the method of claim 10; one or more I / O interfaces coupled between the processor and the memory and arranged to facilitate information interaction between the processor and the memory. Electronic devices.

17. A computer program stored therein, the computer program, when executed by a processor, achieving the method of claim 10. Computer-readable medium.

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