Information processing method and device and storage medium

Abstract

The invention provides an information processing method and device and a storage medium. According to the invention, the terminal performs cell selection or cell reselection according to the AI demand information of the terminal, so that cell selection or cell reselection can be realized according to the AI demand of the terminal, and the terminal is prevented from selecting a frequency point and / or a cell which does not support the AI demand of the terminal when performing cell selection or cell reselection.

Description

Information processing method and device, and storage medium TECHNICAL FIELD

[0001] The present disclosure relates to the field of communications, and in particular to an information processing method and device, and a storage medium. BACKGROUND

[0002] The 6th Generation Mobile Communication Technology (6G) will provide ubiquitous intelligent services. 6G will provide efficient end-to-end support for Artificial Intelligence (AI) related services and applications, intelligently connecting distributed intelligent agents to facilitate large-scale deployment of AI in various industries.

[0003] There can be different AI deployment modes in a 6G network, and different frequency points or cells can have different support for AI.

[0004] SUMMARY

[0005] In order to effectively avoid the terminal selecting a frequency point and / or cell that does not support the AI requirement of the terminal when performing cell selection or cell reselection, an embodiment of the present disclosure provides an information processing method and device, and a storage medium.

[0006] According to a first aspect of an embodiment of the present disclosure, an information processing method is provided, applied to a terminal, and the method comprises: performing cell selection or cell reselection according to artificial intelligence (AI) requirement information of the terminal.

[0007] According to a second aspect of an embodiment of the present disclosure, an information processing method is provided, applied to a network device, and the method comprises: sending configuration information to a terminal, the configuration information being used for the terminal to perform cell selection or cell reselection based on the configuration information and AI requirement information of the terminal.

[0008] According to a third aspect of an embodiment of the present disclosure, a terminal is provided, comprising: a processing module configured to perform cell selection or cell reselection according to artificial intelligence (AI) requirement information of the terminal.

[0009] According to a fourth aspect of an embodiment of the present disclosure, a network device is provided, comprising: a transceiver module configured to send configuration information to a terminal, the configuration information being used for the terminal to perform cell selection or cell reselection based on the configuration information and AI requirement information of the terminal.

[0010] According to a fifth aspect of an embodiment of the present disclosure, a terminal is provided, comprising: one or more processors; wherein the terminal is configured to perform the information processing method of the first aspect described above.

[0011] According to a sixth aspect of the embodiments of the present disclosure, a network device is provided, comprising: one or more processors; wherein the network device is configured to perform the information processing method according to the second aspect.

[0012] According to a seventh aspect of the embodiments of the present disclosure, a communication system is provided, comprising a terminal and a network device, wherein the terminal is configured to implement the information processing method according to the first aspect, and the network device is configured to implement the information processing method according to the second aspect.

[0013] According to an eighth aspect of the embodiments of the present disclosure, a storage medium is provided, which stores instructions, when the instructions are executed on a communication device, causing the communication device to perform the information processing method according to the first aspect or the second aspect.

[0014] According to a ninth aspect of the embodiments of the present disclosure, a program product is provided, which comprises a computer program, when the computer program is executed by a communication device, causing the communication device to perform the information processing method according to the first aspect or the second aspect.

[0015] According to the embodiments of the present disclosure, the terminal performs cell selection or cell reselection according to the AI demand information of the terminal, so that the cell selection or cell reselection can be performed according to the AI demand of the terminal, and the terminal can avoid selecting a frequency point and / or a cell that does not support the AI demand of the terminal when performing cell selection or cell reselection. In addition, according to the embodiments of the present disclosure, the network device provides configuration information to the terminal, so that the terminal can perform cell selection or cell reselection based on the configuration information and the AI demand information of the terminal, and the terminal can select a frequency point and / or a cell whose network AI capability meets the AI capability demand of the terminal according to the configuration information when performing cell selection or cell reselection, so as to avoid the terminal selecting a frequency point and / or a cell that does not support the AI demand of the terminal when performing cell selection or cell reselection.

[0016] It should be understood that the foregoing general description and the following detailed description are only exemplary and explanatory, and cannot limit the present disclosure. BRIEF DESCRIPTION OF DRAWINGS

[0017] The accompanying drawings, which are incorporated into and form part of the specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the present disclosure.

[0018] FIG. 1 is an architecture schematic diagram of a communication system according to an embodiment of the present disclosure.

[0019] FIG. 2A is an interaction schematic diagram of an information processing method according to an embodiment of the present disclosure.

[0020] FIG. 2B is an interaction diagram of an information processing method, according to an embodiment of the present disclosure.

[0021] FIG. 3A is a flow diagram of an information processing method, according to an embodiment of the present disclosure.

[0022] FIG. 3B is a flow diagram of an information processing method, according to an embodiment of the present disclosure.

[0023] FIG. 4A is a flow diagram of an information processing method, according to an embodiment of the present disclosure.

[0024] FIG. 4B is a flow diagram of an information processing method, according to an embodiment of the present disclosure.

[0025] FIG. 5A is a flow diagram of an information processing method, according to an embodiment of the present disclosure.

[0026] FIG. 5B is a flow diagram of an information processing method, according to an embodiment of the present disclosure.

[0027] FIG. 6A is a structural diagram of a terminal, according to an embodiment of the present disclosure.

[0028] FIG. 6B is a structural diagram of a network device, according to an embodiment of the present disclosure.

[0029] FIG. 7A is a structural diagram of a communication device 7100, according to an embodiment of the present disclosure.

[0030] FIG. 7B is a structural diagram of a chip 7200, according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0031] The exemplary embodiments will be described in detail herein below with reference to the drawings. In the following description, unless otherwise indicated, like numbers in the figures indicate contact or similar components. The following exemplary embodiments described in this specification encompass all new and novel combinations and subcombinations of the various elements, features, and / or functions described herein.

[0032] The terminology used in the present disclosure is for the purpose of describing particular embodiments only and is not intended to be limiting of the present disclosure. As used in the present disclosure and the appended claims, the singular forms "a," "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and / or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and / or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and / or groups thereof.

[0033] It should be understood that, although the terms first, second, third, etc. can be employed in this disclosure to describe various messages, the messages are not limited by these terms. These terms are only used to distinguish one message from another. For example, a first message can also be termed a second message, and, similarly, a second message can also be termed a first message, without departing from the scope of this disclosure. Depending on the context, the word "if' as used herein can be interpreted as meaning "when" or "in response to determining" or "in response to ascertaining".

[0034] The embodiments of the present disclosure provide an information processing method and device, and a storage medium.

[0035] In a first aspect, the embodiments of the present disclosure provide an information processing method applied to a terminal, which comprises: performing cell selection or cell reselection according to artificial intelligence (AI) demand information of the terminal.

[0036] In the above embodiments, by performing cell selection or cell reselection according to the AI demand information of the terminal, it is ensured that the cell selection or cell reselection can be performed according to the AI demand of the terminal, so as to avoid that the terminal selects a frequency point and / or a cell that does not support the AI demand of the terminal when performing cell selection or cell reselection.

[0037] In combination with some embodiments of the first aspect, in some embodiments, the performing cell selection or cell reselection according to the AI demand information of the terminal comprises: receiving configuration information sent by a network device; and performing cell selection or cell reselection based on the configuration information and the AI demand information of the terminal.

[0038] In the above embodiments, by providing the configuration information to the terminal by the network device, the terminal can perform cell selection or cell reselection based on the configuration information and the AI demand information of the terminal, so that the terminal can select a frequency point and / or a cell whose network AI capability meets the AI demand of the terminal according to the configuration information when performing cell selection or cell reselection, thereby avoiding that the terminal selects a frequency point and / or a cell that does not support the AI demand of the terminal when performing cell selection or cell reselection.

[0039] In combination with some embodiments of the first aspect, in some embodiments, the receiving the configuration information sent by the network device comprises: receiving a first message sent by the network device, wherein the configuration information is included in the first message; and the first message is a system message and / or dedicated signaling.

[0040] In the above embodiments, by taking the first message as a carrier of the configuration information, multiplexing of the first message is implemented, and the message utilization rate of the first message is improved. In addition, a plurality of optional first messages are provided, so that the configuration information can be carried by the plurality of first messages, and the flexibility of the configuration information sending process is improved.

[0041] In some embodiments of the first aspect, the method further includes: sending, to the network device, the AI demand information, the AI demand information being used by the network device to provide the configuration information for the terminal.

[0042] In the above embodiments, the AI demand information is sent by the terminal to the network device, so that the network device can use the AI demand information as prior information to provide the configuration information for the terminal, to ensure the adaptation degree of the provided configuration information to the AI demand information of the terminal.

[0043] In some embodiments of the first aspect, the sending, to the network device, the AI demand information includes: when the terminal is in a connected state, sending, to the network device, the AI demand information; and wherein the AI demand information being used by the network device to provide the configuration information for the terminal includes: the AI demand information being used by the network device to provide the configuration information for the terminal when the terminal is released to an idle state or an inactive state.

[0044] In the above embodiments, a possible implementation of the interaction of the terminal and the network device for the AI demand information is provided, i.e., the AI demand information is sent by the terminal to the network device when the terminal is in a connected state, so that the network device can provide the configuration information for the terminal when the terminal is released to an idle state or an inactive state, to ensure the smooth progress of the configuration information interaction process.

[0045] In some embodiments of the first aspect, the sending, to the network device, the AI demand information includes: sending, to the network device, a second message, the second message including the AI demand information; and wherein the second message is a non-access stratum (NAS) message and / or an access stratum (AS) message.

[0046] In the above embodiments, in the case where the terminal provides the AI demand information as prior information for the network device to provide the configuration information for the terminal, the second message is used as a carrier of the AI demand information, to realize the multiplexing of the second message and improve the message utilization rate of the second message. In addition, multiple optional second messages are provided, so that the AI demand information can be carried by multiple second messages, to improve the flexibility of the AI demand information sending process.

[0047] In some embodiments of the first aspect, the configuration information is provided by the network device based on the AI demand information, and the receiving the configuration information sent by the network device includes: receiving a radio resource control (RRC) message sent by the network device, the RRC message including the configuration information.

[0048] In the above embodiment, in the case that the terminal provides the AI requirement information as prior information to the network device for the network device to provide the configuration information to the terminal, the multiplexing of the RRC message is implemented by taking the RRC message as a carrier of the configuration information, and the message utilization rate of the RRC message is improved.

[0049] In combination with some embodiments of the first aspect, in some embodiments, the configuration information comprises at least one of: first configuration information comprising frequency point information and / or frequency point priority information; second configuration information comprising cell information and / or cell priority information; third configuration information used for indicating at least one of AI capability information and AI capability priority information associated with a frequency point, and / or the third configuration information used for indicating at least one of AI capability information and AI capability priority information associated with a cell.

[0050] In the above embodiment, various optional information types that the configuration information can include are provided, so that the content included in the configuration information can be flexibly configured as needed, improving the flexibility and diversity of the configuration information.

[0051] In combination with some embodiments of the first aspect, in some embodiments, the third configuration information is used for indicating at least one of: whether the frequency point and / or the cell can support AI function; AI service type that the frequency point and / or the cell can provide; AI resource type that the frequency point and / or the cell can provide; AI use case type that the frequency point and / or the cell can provide; and AI capability exposure mode that the frequency point and / or the cell can provide.

[0052] In the above embodiment, various information types that the third configuration information can indicate are provided, so that the content indicated by the third configuration information can be flexibly configured as needed, improving the flexibility and diversity of the third configuration information, and further improving the flexibility and diversity of the configuration information.

[0053] In combination with some embodiments of the first aspect, in some embodiments, the AI requirement information is used for indicating at least one of: whether the terminal requires the network device to support AI function; AI service type that the terminal requires the network device to support; AI resource type that the terminal requires the network device to support; AI use case type that the terminal requires the network device to support; and AI capability exposure mode that the terminal requires the network device to support.

[0054] In the above embodiment, various optional information types that the AI requirement information can indicate are provided, so that the content indicated by the AI requirement information can be flexibly configured as needed, improving the flexibility and diversity of the AI requirement information.

[0055] In some embodiments of the first aspect, in some embodiments, the AI service type includes at least one of: AI data service; AI model inference service; AI training service; AI verification service.

[0056] In the above embodiments, a plurality of optional AI service types are provided, so that the AI service type required by the terminal for the network device to support, indicated by the AI requirement information, can be flexibly configured as needed, thereby further improving the flexibility and diversity of the AI requirement information.

[0057] In some embodiments of the first aspect, in some embodiments, the AI resource type includes at least one of: AI computing power resource; AI algorithm resource; AI data resource; AI connection resource.

[0058] In the above embodiments, a plurality of optional AI resource types are provided, so that the AI resource type required by the terminal for the network device to support, indicated by the AI requirement information, can be flexibly configured as needed, thereby further improving the flexibility and diversity of the AI requirement information.

[0059] In some embodiments of the first aspect, in some embodiments, the AI use case type includes at least one of: AI positioning-based use case; AI beam management-based use case.

[0060] In the above embodiments, a plurality of optional AI use case types are provided, so that the AI use case type required by the terminal for the network device to support, indicated by the AI requirement information, can be flexibly configured as needed, thereby further improving the flexibility and diversity of the AI requirement information.

[0061] In some embodiments of the first aspect, in some embodiments, the AI capability exposure mode includes at least one of: the terminal exposing AI capability to the network device; the network device exposing AI capability to the terminal; the terminal and other terminals exposing AI capability to each other.

[0062] In the above embodiments, a plurality of optional AI capability exposure mode types are provided, so that the AI capability exposure mode required by the terminal for the network device to support, indicated by the AI requirement information, can be flexibly configured as needed, thereby further improving the flexibility and diversity of the AI requirement information.

[0063] In some embodiments of the first aspect, in some embodiments, the configuration information is associated with a valid time and / or a valid area.

[0064] The valid time is agreed by a protocol, or the valid time is configured by the network device for the terminal; the valid area is agreed by a protocol, or the valid area is configured by the network device for the terminal.

[0065] In the above embodiments, by configuring the configuration information to be associated with the valid time and / or the valid area, the validity of the configuration information can be configured as needed, and the flexibility of the configuration information configuration process is improved. In addition, various optional implementation manners of the configuration of the valid time and the valid area are provided to improve the flexibility and diversity of the configuration process of the valid time and the valid area.

[0066] In combination with some embodiments of the first aspect, in some embodiments, the method further includes: receiving indication information sent by the network device, the indication information being used to indicate a capability providing manner of the network device; and wherein the capability providing manner of the network device includes any one of the following: providing the AI capability for the terminal through a current frequency point and / or cell; and requesting other frequency points and / or cells to provide the AI capability for the terminal.

[0067] In the above embodiments, by interacting the indication information between the network device and the terminal, the indication information is used to indicate the capability providing manner of the network device, so as to provide more basis information for the cell selection or cell reselection process of the terminal, and further improve the legitimacy and accuracy of the cell selection and cell reselection process. In addition, various optional capability providing manners are provided, so that the network device can provide the AI capability in various ways, and the flexibility and diversity of the AI capability providing manner of the network device are improved.

[0068] In combination with some embodiments of the first aspect, in some embodiments, the performing cell selection or cell reselection based on the configuration information and the AI demand information of the terminal includes: performing cell selection or cell reselection according to the configuration information, the AI demand information and the indication information.

[0069] In the above embodiments, by performing cell selection or cell reselection by the terminal according to the configuration information, the AI demand information and the indication information, the terminal can comprehensively implement cell selection or cell reselection based on various information, and the legitimacy and accuracy of the cell selection and cell reselection process are improved.

[0070] In combination with some embodiments of the first aspect, in some embodiments, the performing cell selection or cell reselection according to the AI demand information of the terminal includes: determining the priority of the cell and / or the frequency point according to the AI demand information of the terminal.

[0071] In the above embodiments, an optional implementation manner of performing cell selection or cell reselection according to the AI demand information of the terminal is provided, that is, the terminal determines the priority of the cell and / or frequency point according to the AI demand information, so that the terminal can perform cell selection or cell reselection according to the priority of the cell and / or frequency point, to ensure the smooth progress of the cell selection and cell reselection process based on the AI demand information of the terminal.

[0072] In combination with some embodiments of the first aspect, in some embodiments, the determining the priority of the cell and / or frequency point according to the AI demand information of the terminal comprises: determining that the priority of the frequency point / cell supporting the AI capability demand of the terminal is higher than the priority of the frequency point / cell not supporting the AI capability demand of the terminal.

[0073] In the above embodiments, an optional implementation manner of determining the priority of the cell and / or frequency point according to the AI demand information of the terminal is provided, that is, the priority of the frequency point / cell supporting the AI capability demand of the terminal is configured as a higher level, and the priority of the frequency point / cell not supporting the AI capability demand of the terminal is configured as a lower level, to ensure that the terminal can preferentially select the frequency point and / or cell supporting the AI demand of the terminal when performing cell selection or cell reselection.

[0074] In combination with some embodiments of the first aspect, in some embodiments, the determining the priority of the cell and / or frequency point according to the AI demand information of the terminal further comprises at least one of the following: there are multiple frequency points and / or cells supporting the AI capability demand of the terminal, and the priority of the multiple frequency points and / or cells supporting the AI demand capability of the terminal is determined based on the terminal implementation or first priority information; there are multiple frequency points and / or cells not supporting the AI capability demand of the terminal, and the priority of the multiple frequency points and / or cells not supporting the AI capability demand of the terminal is determined based on the terminal implementation or first priority information; wherein the first priority information is absolute priority information of the frequency point and / or cell, or the first priority information is priority information of the AI capability demand.

[0075] In the above embodiments, an optional implementation manner of determining the priority between the multiple frequency points and / or cells supporting or not supporting the AI capability demand of the terminal is provided when there are multiple frequency points and / or cells supporting or not supporting the AI capability demand of the terminal, to ensure that the cell selection and cell reselection can still be performed when there are multiple frequency points and / or cells with the same priority.

[0076] In some embodiments of the first aspect, in some embodiments, the AI capability requirement indicated by the AI requirement information is multiple, and the priority of the cell and / or the frequency point is determined according to the AI requirement information of the terminal, including: the priority of the frequency point and / or the cell supporting a larger number of AI capability requirements is higher than the priority of the frequency point and / or the cell supporting a smaller number of AI capability requirements.

[0077] In the above embodiments, an optional implementation of determining the cell and / or the frequency point according to the AI requirement of the terminal in the case of multiple AI requirements is provided, so that the priority of the frequency point and / or the cell can be determined according to the number of AI capability requirements supported by the frequency point and / or the cell, to improve the flexibility and diversity of the priority determination method.

[0078] In some embodiments of the first aspect, in some embodiments, the priority of the cell and / or the frequency point is determined according to the AI requirement information of the terminal, further including: in the case that multiple frequency points and / or cells support the same number of AI capability requirements, determining the priority of the multiple frequency points and / or cells supporting the same number of AI capability requirements based on the terminal implementation or second priority information; wherein the second priority information is absolute priority information of the frequency point and / or the cell.

[0079] In the above embodiments, an optional implementation of determining the priority between multiple frequency points and / or cells in the case that multiple frequency points and / or cells support multiple AI capability requirements and support the same number of AI capability requirements is provided, to ensure that cell selection and cell reselection can still be implemented in the case of multiple frequency points and / or cells supporting the same number of AI capability requirements.

[0080] In some embodiments of the first aspect, in some embodiments, the method further includes: for any frequency point, determining the priority of the frequency point based on the AI capability of a first cell on the frequency point; wherein the first cell is the highest ranked cell on the frequency point, or the first cell is the best cell on the frequency point.

[0081] In the above embodiments, by taking the highest ranked cell on the frequency point or the best cell on the frequency point as the first cell on the frequency point, the priority of the frequency point is determined based on the AI capability of the first cell, so that the priority of the frequency point can be determined according to the cell that is most likely to be selected on the frequency point, to improve the accuracy and effectiveness of the priority determination result of the frequency point.

[0082] In some embodiments of the first aspect, in some embodiments, the method further comprises: for any frequency point, if the first cell on the frequency point does not support the AI capability requirement of the terminal, performing a selection or reselection restriction operation; wherein the first cell is the highest ranked cell on the frequency point, or the first cell is the best cell on the frequency point.

[0083] In the above embodiments, by performing a selection or reselection restriction operation when the first cell on the frequency point does not support the AI capability requirement of the terminal, the selection restriction on the frequency point and the cells on the frequency point in the subsequent cell selection or reselection process is achieved, so as to ensure that the frequency point and the cells on the frequency point are not preferentially selected in the cell selection or reselection, thereby avoiding the selection of a cell that does not support the AI capability requirement of the terminal as much as possible.

[0084] In some embodiments of the first aspect, in some embodiments, the performing of the selection or reselection restriction operation comprises at least one of the following: stopping the selection or reselection of the first cell; stopping the selection or reselection of the first cell and a second cell, the second cell being a cell on the same frequency as the first cell; reducing the priority of the first cell; and reducing the priority of the frequency point to which the first cell belongs.

[0085] In the above embodiments, a plurality of optional selection or reselection restriction operations are provided, so that the selection restriction on the frequency point and the cells on the frequency point can be achieved in a plurality of ways, thereby improving the flexibility and diversity of the selection restriction on the frequency point and the cells on the frequency point in the cell selection or reselection process.

[0086] In some embodiments of the first aspect, in some embodiments, the performing of the selection or reselection restriction operation comprises: performing the selection or reselection restriction operation within a first time; and performing the selection or reselection restriction operation if the number of times of performing the cell selection or reselection does not reach a first number of times.

[0087] In the above embodiments, by performing the selection or reselection restriction operation within a certain time or a certain number of times, the selection restriction on the frequency point and the cells on the frequency point within a period of time can be flexibly achieved, so as to ensure that the frequency point and the cells on the frequency point still have a chance to be preferentially selected when the AI capability of the frequency point and the cells on the frequency point changes, thereby ensuring that the cell selection or reselection process can effectively adapt to changes in the network environment.

[0088] In some embodiments of the first aspect, in some embodiments, the first time is agreed by a protocol, or the first time is configured by the network device for the terminal; and the first number of times is agreed by a protocol, or the first number of times is configured by the network device for the terminal.

[0089] In the above embodiments, the first time and the first number of times are configured for the terminal in multiple optional manners, so that the configuration of the first time and the first number of times can be implemented in multiple manners, and flexibility of the configuration of the first time and the first number of times is improved.

[0090] With reference to some embodiments of the first aspect, in some embodiments, the method further includes: in a case where a first condition is met, releasing the selection or reselection restriction operation; wherein the first condition includes at least one of: a network state of the network device changes; a network state of the terminal changes; an AI capability requirement of the terminal changes.

[0091] In the above embodiments, the selection or reselection restriction operation is released in a case where the first condition is met, so that the cell selection or reselection process can effectively adapt to changes in the network environment; in addition, multiple optional first conditions are provided, so that the terminal can release the selection or reselection restriction operation in multiple cases, and flexibility of the releasing process of the selection or reselection restriction operation is improved.

[0092] With reference to some embodiments of the first aspect, in some embodiments, the network state of the network device changes includes at least one of: the AI capability of the network device is updated; the network device indicates to release the selection or reselection restriction operation; the first cell changes; the network device controls the terminal to be redirected to a first frequency point.

[0093] In the above embodiments, multiple optional cases of changes in the network state of the network device are provided, so that the selection or reselection restriction operation can be released in multiple possible cases of changes in the network state of the network device, and flexibility of the releasing process of the selection or reselection restriction operation is improved.

[0094] With reference to some embodiments of the first aspect, in some embodiments, the network state of the terminal changes includes at least one of: the terminal no longer performs cell selection or reselection based on the AI capability of the network device; the terminal enters an arbitrary cell selection state; the terminal receives an indication to release the selection or reselection restriction operation; a public land mobile network (PLMN) accessed by the terminal changes.

[0095] In the above embodiments, multiple optional cases of changes in the network state of the terminal are provided, so that the selection or reselection restriction operation can be released in multiple possible cases of changes in the network state of the terminal, and flexibility of the releasing process of the selection or reselection restriction operation is improved.

[0096] In some embodiments of the first aspect, in some embodiments, the method further includes: sending capability information to the network device, the capability information being used to indicate that the terminal supports cell selection or cell reselection according to AI requirements of the terminal.

[0097] In the above embodiments, by interacting capability information between the terminal and the network device, the network device can obtain in time whether the terminal supports cell selection or cell reselection according to AI requirements of the terminal, so that the network device can provide in time frequency points and / or cells related to AI capabilities for the terminal, so that the terminal can perform cell selection or cell reselection based on AI capabilities of the frequency points and / or the cells and AI requirements of the terminal, to avoid the terminal selecting frequency points and / or cells that do not support AI requirements of the terminal when performing cell selection or cell reselection.

[0098] In the above embodiments, by interacting capability information between the terminal and the network device, the network device can obtain in time whether the terminal supports cell selection or cell reselection according to AI requirements of the terminal, so that the network device can provide in time frequency points and / or cells related to AI capabilities for the terminal, so that the terminal can perform cell selection or cell reselection based on AI capabilities of the frequency points and / or the cells and AI requirements of the terminal, to avoid the terminal selecting frequency points and / or cells that do not support AI requirements of the terminal when performing cell selection or cell reselection.

[0099] In the above embodiments, by interacting capability information between the terminal and the network device, the network device can obtain in time whether the terminal supports cell selection or cell reselection according to AI requirements of the terminal, so that the network device can provide in time frequency points and / or cells related to AI capabilities for the terminal, so that the terminal can perform cell selection or cell reselection based on AI capabilities of the frequency points and / or the cells and AI requirements of the terminal, to avoid the terminal selecting frequency points and / or cells that do not support AI requirements of the terminal when performing cell selection or cell reselection.

[0100] In some embodiments of the second aspect, in some embodiments, the sending of the configuration information to the terminal includes: sending a first message to the terminal, the first message including the configuration information; and the first message is a system message and / or dedicated signaling.

[0101] In some embodiments of the second aspect, in some embodiments, the method further includes: receiving the AI requirement information sent by the terminal, to send the configuration information to the terminal based on the AI requirement information.

[0102] In some embodiments of the second aspect, in some embodiments, the receiving of the AI requirement information sent by the terminal includes: receiving a second message sent by the network device, the second message including the AI requirement information; and the second message is a NAS message and / or an AS message.

[0103] In some embodiments of the second aspect, in some embodiments, the AI requirement information is sent by the terminal when the terminal is in a connected state, and the sending of the configuration information to the terminal comprises: sending the configuration information to the terminal when the terminal is released to an idle state or an inactive state.

[0104] In some embodiments of the second aspect, in some embodiments, the sending of the configuration information to the terminal comprises: sending an RRC message to the terminal, wherein the RRC message comprises the configuration information.

[0105] In some embodiments of the second aspect, in some embodiments, the AI requirement information is used to indicate at least one of: whether the terminal requires the network device to support an AI function; an AI service type that the terminal requires the network device to support; an AI resource type that the terminal requires the network device to support; an AI use case type that the terminal requires the network device to support; and an AI capability exposure mode that the terminal requires the network device to support.

[0106] In some embodiments of the second aspect, in some embodiments, the configuration information comprises at least one of: first configuration information comprising frequency point information and / or frequency point priority information; second configuration information comprising cell information and / or cell priority information; and third configuration information used to indicate at least one of AI capability information and AI capability priority information associated with a frequency point and / or AI capability information and AI capability priority information associated with a cell.

[0107] In some embodiments of the second aspect, in some embodiments, the third configuration information is used to indicate at least one of: whether a frequency point and / or a cell can support an AI function; an AI service type that a frequency point and / or a cell can provide; an AI resource type that a frequency point and / or a cell can provide; an AI use case type that a frequency point and / or a cell can provide; and an AI capability exposure mode that a frequency point and / or a cell can provide.

[0108] In some embodiments of the second aspect, in some embodiments, the AI service type comprises at least one of: AI data service; AI model inference service; AI training service; and AI verification service.

[0109] In some embodiments of the second aspect, in some embodiments, the AI resource type comprises at least one of: AI computing power resource; AI algorithm resource; AI data resource; and AI connection resource.

[0110] In some embodiments of the second aspect, in some embodiments, the AI use case type includes at least one of: an AI positioning-based use case; an AI beam management-based use case.

[0111] In some embodiments of the second aspect, in some embodiments, the AI capability exposure mode includes at least one of: the terminal exposing AI capability to the network device; the network device exposing AI capability to the terminal; the terminal and other terminals exposing AI capability to each other.

[0112] In some embodiments of the second aspect, in some embodiments, the configuration information is associated with a valid time and / or a valid area.

[0113] In some embodiments of the second aspect, in some embodiments, the valid time and / or the valid area are agreed upon by a protocol, or the valid time and / or the valid area are determined by the network device and configured to the terminal.

[0114] In some embodiments of the second aspect, in some embodiments, the method further includes: sending indication information to the terminal, the indication information being used to indicate a capability providing mode of the network device, and the indication information being used by the terminal to perform cell selection or cell reselection.

[0115] In some embodiments of the second aspect, in some embodiments, the capability providing mode of the network device includes any one of: providing AI capability to the terminal through a current frequency point and / or cell; and requesting other frequency points and / or cells to provide AI capability to the terminal.

[0116] In some embodiments of the second aspect, in some embodiments, for any frequency point, a priority of the frequency point is determined based on a network AI capability of a first cell on the frequency point; and the first cell is a highest-ranked cell on the frequency point, or the first cell is a best cell on the frequency point.

[0117] In some embodiments of the second aspect, in some embodiments, the method further includes: receiving capability information sent by the terminal, the capability information being used to indicate that the terminal supports cell selection or cell reselection according to AI needs of the terminal.

[0118] In a third aspect, the embodiments of the present disclosure provide a terminal, including: a processing module configured to perform cell selection or cell reselection according to artificial intelligence (AI) need information of the terminal.

[0119] In a fourth aspect, the embodiments of the present disclosure provide a network device, including: a transceiver module configured to send configuration information to a terminal, the configuration information being used by the terminal to perform cell selection or cell reselection based on the configuration information and AI need information of the terminal.

[0120] In a fifth aspect, an embodiment of the present disclosure provides a terminal, comprising: one or more processors; wherein the terminal is configured to perform the information processing method in the first aspect and any one of the embodiments of the first aspect.

[0121] In a sixth aspect, an embodiment of the present disclosure provides a network device, comprising: one or more processors; wherein the network device is configured to perform the information processing method in the second aspect and any one of the embodiments of the second aspect.

[0122] In a seventh aspect, an embodiment of the present disclosure provides a communication system, comprising a terminal and a network device, wherein the terminal is configured to implement the information processing method in the first aspect and any one of the embodiments of the first aspect, and the network device is configured to implement the information processing method in the second aspect and any one of the embodiments of the second aspect.

[0123] In an eighth aspect, an embodiment of the present disclosure provides a storage medium, which stores instructions, when the instructions run on a communication device, cause the communication device to perform the information processing method in the first aspect and any one of the embodiments of the first aspect, the second aspect and any one of the embodiments of the second aspect.

[0124] In a ninth aspect, an embodiment of the present disclosure provides a program product, which comprises a computer program, when the computer program is executed by a communication device, causes the communication device to perform the information processing method in the first aspect and any one of the embodiments of the first aspect, the second aspect and any one of the embodiments of the second aspect.

[0125] In a tenth aspect, an embodiment of the present disclosure provides a program product, when the program product runs on a communication device, causes the communication device to perform the information processing method in the first aspect and any one of the embodiments of the first aspect, the second aspect and any one of the embodiments of the second aspect, or, when the program product is executed by a communication device, causes the communication device to perform the information processing method in the first aspect and any one of the embodiments of the first aspect, the second aspect and any one of the embodiments of the second aspect.

[0126] In an eleventh aspect, an embodiment of the present disclosure provides a computer program, when it runs on a computer, causes the computer to perform the information processing method in the first aspect and any one of the embodiments of the first aspect, the second aspect and any one of the embodiments of the second aspect.

[0127] In a twelfth aspect, an embodiment of the present disclosure provides a chip or chip system. The chip or chip system includes processing circuitry configured to perform the information processing method according to the first aspect and any one of the embodiments of the first aspect, or the second aspect and any one of the embodiments of the second aspect.

[0128] It can be understood that the terminal, the network device, the communication system, the storage medium, the program product, the computer program, the chip or the chip system are all used to execute the method proposed in the embodiments of the present disclosure. Therefore, the beneficial effects achieved thereby can refer to the beneficial effects in the corresponding method, which will not be described here again.

[0129] The embodiments of the present disclosure propose an information processing method and device, a storage medium. In some embodiments, the information method and the communication method, the cell selection or cell reselection method, the cell priority determination method, the frequency point priority determination method, and the like can be replaced with each other, and the information processing device and the communication device, the cell selection or cell reselection device, the cell priority determination device, the frequency point priority determination device, and the like can be replaced with each other, and the information processing system and the communication system, and the like can be replaced with each other.

[0130] The embodiments of the present disclosure are not exhaustive, but only illustrate some embodiments, and are not specific limitations on the protection scope of the present disclosure. In the case of no contradiction, each step in an embodiment can be implemented as an independent embodiment, and the steps can be combined arbitrarily, for example, the scheme after removing some steps in an embodiment can also be implemented as an independent embodiment, and the order of the steps in an embodiment can be exchanged arbitrarily, in addition, the optional implementation manners in an embodiment can be combined arbitrarily; in addition, the embodiments can be combined arbitrarily, for example, some or all steps of different embodiments can be combined arbitrarily, an embodiment can be combined with the optional implementation manners of other embodiments.

[0131] In each embodiment of the present disclosure, the terms and / or descriptions between the embodiments are consistent if there is no special description and logical conflict, and can be referred to each other, and the technical features in different embodiments can be combined to form a new embodiment according to the logical relationship thereof.

[0132] The terms used in the embodiments of the present disclosure are only for the purpose of describing specific embodiments, and not as a limitation on the present disclosure.

[0133] In the embodiments of the present disclosure, an element expressed in singular form, such as "a", "an", "the", "said", "the aforementioned", "the foregoing", "this", and the like, unless otherwise specified, can represent "one and only one", or can represent "one or more", "at least one", and the like. For example, in the case of using an article such as "a", "an", "the" in English, the noun after the article can be understood as a singular expression, or can be understood as a plural expression.

[0134] In the embodiments of the present disclosure, "plurality" refers to two or more.

[0135] In some embodiments, the terms "at least one of", "one or more", "a plurality of", "multiple", and the like can be replaced with each other.

[0136] In some embodiments, the description manner such as "at least one of A, B", "A and / or B", "A in one case and B in another case", "responding to a case A, responding to another case B", and the like can include the following technical solutions according to the case: A is executed in some embodiments (A is executed regardless of B); B is executed in some embodiments (B is executed regardless of A); A and B are selectively executed in some embodiments (A and B are selected to be executed); A and B are executed in some embodiments (A and B are both executed). When there are more branches such as A, B, C, and the like, the above is similar.

[0137] In some embodiments, the description manner such as "A or B" and the like can include the following technical solutions according to the case: A is executed in some embodiments (A is executed regardless of B); B is executed in some embodiments (B is executed regardless of A); A and B are selectively executed in some embodiments (A and B are selected to be executed). When there are more branches such as A, B, C, and the like, the above is similar.

[0138] The prefix words of "first", "second" and the like in the embodiments of the present disclosure are merely used to distinguish different description objects, and do not constitute limitation on the position, order, priority, quantity or content of the description objects. The description objects are described in the claims or embodiments, and should not be construed as redundant limitation because of the use of the prefix words. For example, the description object is "field", and the ordinal words before "field" in "first field" and "second field" do not limit the position or order between "fields", and "first" and "second" do not limit whether the "fields" modified thereby are in the same message or not, nor limit the order of "first field" and "second field". For another example, the description object is "level", and the ordinal words before "level" in "first level" and "second level" do not limit the priority between "levels". For another example, the quantity of the description object is not limited by the ordinal words, and can be one or more. For example, "first device", wherein the quantity of "device" can be one or more. In addition, the objects modified by different prefix words can be the same or different, for example, the description object is "device", and "first device" and "second device" can be the same device or different devices, and the types thereof can be the same or different. For another example, the description object is "information", and "first information" and "second information" can be the same information or different information, and the contents thereof can be the same or different.

[0139] In some embodiments, "including A", "containing A", "for indicating A", "carrying A" can be interpreted as directly carrying A, or indirectly indicating A.

[0140] In some embodiments, the terms of "in response to", "in response to determining", "in the case of", "when", "when", "if", "if" and the like can be replaced with each other.

[0141] In some embodiments, the terms of "greater than", "greater than or equal to", "not less than", "more than", "more than or equal to", "not less than", "higher than", "higher than or equal to", "not lower than", "above" and the like can be replaced with each other, and the terms of "less than", "less than or equal to", "not greater than", "less than", "less than or equal to", "not more than", "lower than", "lower than or equal to", "not higher than", "below" and the like can be replaced with each other.

[0142] In some embodiments, the apparatuses and devices can be interpreted as entities, and also as virtual, whose names are not limited to the names described in the embodiments, and in some cases can also be understood as "equipment", "device", "circuit", "network element", "node", "function", "unit", "section", "system", "network", "chip", "chip system", "entity", "subject", and the like.

[0143] In some embodiments, "network" can be interpreted as an apparatus included in the network, for example, an access network device, a core network device, and the like.

[0144] In some embodiments, "access network device (AN device)" can also be referred to as "radio access network device (RAN device)", "base station (BS)", "radio base station", "fixed station", and in some embodiments can also be understood as "node", "access point", "transmission point (TP)", "reception point (RP)", "transmission / reception point (TRP)", "panel", "antenna panel", "antenna array", "cell", "macro cell", "small cell", "femto cell", "pico cell", "sector", "cell group", "serving cell", "carrier", "component carrier", "bandwidth part (BWP)", and the like.

[0145] In some embodiments, a "terminal" or "terminal device" can be referred to as a "user equipment" (UE), a "user terminal," a "mobile station" (MS), a "mobile terminal" (MT), a subscriber station, a mobile unit, a subscriber unit, a wireless unit, a remote unit, a mobile device, a wireless device, a wireless communication device, a remote device, a mobile subscriber station, an access terminal, a mobile terminal, a wireless terminal, a remote terminal, a handset, a user agent, a mobile client, a client, and / or the like.

[0146] In some embodiments, data, information and / or the like can be obtained in compliance with laws and regulations of a country in which a location is situated.

[0147] In some embodiments, data, information and / or the like can be obtained after consent of a user is obtained.

[0148] In addition, each element, each row, or each column in a table of embodiments of the present disclosure can be implemented as an independent embodiment, and a combination of any element, any row, or any column can also be implemented as an independent embodiment.

[0149] FIG. 1 is an architecture diagram of a communication system according to an embodiment of the present disclosure. As shown in FIG. 1, the communication system 100 includes a terminal 101 and a network device 102.

[0150] In some embodiments, the terminal 101 includes at least one of a mobile phone, a wearable device, an Internet of Things device, a communication-capable automobile, a smart automobile, a tablet (Pad), a wireless-transmitting computer, a virtual reality (VR) terminal device, an augmented reality (AR) terminal device, a wireless terminal device in industrial control, a wireless terminal device in self-driving, a wireless terminal device in remote medical surgery, a wireless terminal device in a smart grid, a wireless terminal device in transportation safety, a wireless terminal device in a smart city, a wireless terminal device in a smart home, and the like, but is not limited thereto.

[0151] In some embodiments, the network device 102 includes at least one of an access network device, a core network device.

[0152] In some embodiments, the access network device is at least one of a node or a device that accesses a terminal to a wireless network, for example, and can include at least one of an evolved NodeB (eNB) in a 5G communication system, a next generation eNB (ng-eNB), a next generation NodeB (gNB), a node B (NB), a home node B (HNB), a home evolved node B (HeNB), a wireless backhaul device, a radio network controller (RNC), a base station controller (BSC), a base transceiver station (BTS), a base band unit (BBU), a mobile switching center, a base station in a 6G communication system, an Open RAN, a Cloud RAN, a base station in other communication systems, an access node in a Wi-Fi system, and the like, but is not limited thereto.

[0153] In some embodiments, the technical solutions of the present disclosure can be applicable to an Open RAN architecture, at this time, the interfaces between or within the access network devices involved in the embodiments of the present disclosure can become internal interfaces of the Open RAN, and the processes and information interactions between these internal interfaces can be implemented through software or programs.

[0154] In some embodiments, the access network device can be composed of a central unit (CU) and a distributed unit (DU), where the CU can also be referred to as a control unit. The CU-DU structure can split the protocol layers of the access network device, and some of the protocol layers are controlled by the CU, and the rest or all of the protocol layers are distributed in the DU and controlled by the CU, but not limited thereto.

[0155] In some embodiments, the core network device can be one device including multiple network elements, etc., or can be multiple devices or device groups, each including all or part of multiple network elements. The network element can be virtual or physical. The core network includes at least one of an evolved packet core (EPC), a 5G core network (5GCN), and a next-generation core (NGC), for example.

[0156] In some embodiments, the core network device can include a first network element, which is an access and mobility management function (AMF), for example.

[0157] In some embodiments, the first network element is used for access management and mobility management of users, but is not limited thereto.

[0158] In some embodiments, the core network device can include a second network element, which is a session management function (SMF), for example.

[0159] In some embodiments, the second network element is used for session management of the control plane and the user plane, but is not limited thereto.

[0160] In some embodiments, the core network device can include a third network element, which is a user plane function (UPF), for example.

[0161] In some embodiments, the third network element is configured to perform data forwarding, traffic statistics, Quality of Service (QoS) management, etc. for a user plane, but is not limited thereto.

[0162] In some embodiments, the core network device can include a fourth network element, which is, for example, a Policy Control Function (PCF).

[0163] In some embodiments, the fourth network element is configured to implement control policy management for a user, including but not limited to control of QoS, service access control, etc.

[0164] In some embodiments, the second network element is, for example, a Unified Data Management (UDM), and is configured to implement subscription data management, roaming control, etc. for a user, but is not limited thereto.

[0165] In some embodiments, the second network element is, for example, an Authentication Server Function (AUSF), and is configured to implement user identity authentication, but is not limited thereto.

[0166] In some embodiments, each of the above network elements can be independent of the core network device.

[0167] In some embodiments, each of the above network elements can be part of the core network device.

[0168] It can be understood that the communication system described in the embodiments of the present disclosure is for more clearly illustrating the technical solutions of the present disclosure, and does not constitute a limitation on the technical solutions proposed by the present disclosure. It can be known by those skilled in the art that, as the system architecture evolves and new business scenarios appear, the technical solutions proposed by the present disclosure are also applicable to similar technical problems.

[0169] The following embodiments of the present disclosure can be applied to the communication system 100 shown in FIG. 1 or part of the subject, but are not limited thereto. The subjects shown in FIG. 1 are examples, and the communication system can include all or part of the subjects in FIG. 1, or other subjects other than those in FIG. 1. The number and form of each subject is arbitrary, each subject can be real or virtual, the connection relationship between each subject is an example, each subject can not be connected or can be connected, and the connection can be in any way, can be direct connection or indirect connection, can be wired connection or wireless connection.

[0170] Embodiments of the present disclosure can be applied to Long Term Evolution (LTE), LTE-Advanced (LTE-A), LTE-Beyond (LTE-B), SUPER 3G, IMT-Advanced, 4th generation mobile communication system (4G), 5th generation mobile communication system (5G), 5G new radio (NR), Future Radio Access (FRA), New-Radio Access Technology (RAT), New Radio (NR), New radio access (NX), Future generation radio access (FX), Global System for Mobile communications (GSM (registered trademark)), CDMA2000, Ultra Mobile Broadband (UMB), IEEE 802.11 (Wi-Fi (registered trademark)), IEEE 802.16 (WiMAX (registered trademark)), IEEE 802.20, Ultra-WideBand (UWB), Bluetooth (Bluetooth (registered trademark)), Public Land Mobile Network (PLMN) network, Device-to-Device (D2D) system, Machine to Machine (M2M) system, Internet of Things (IoT) system, Vehicle-to-Everything (V2X), system using other communication methods, next-generation system expanded based thereon, and the like. In addition, a plurality of systems can be applied in combination (for example, combination of LTE or LTE-A and 5G, and the like).

[0171] A 6G network (NW) can provide ubiquitous intelligent services. 6G will provide efficient end-to-end support for AI-related services and applications, and will intelligently connect distributed intelligent agents to deploy AI at a large scale in various industries.

[0172] 6G AI as a service is to build efficient, energy-saving, and secure distributed AI services through resources and functions within the network (including 6G core network, 6G wireless network, and 6G terminal). 6G AI service mainly faces the needs of high real-time performance, high security and privacy, or low comprehensive energy consumption, and provides intelligent capabilities for different application scenarios through AI training or inference in the network.

[0173] In some embodiments, 6G AI service can include AI service to network (AI for network, AI4NET) and network service to AI (network for AI, NET4AI). Among them, AI4NET includes, for example, but is not limited to, the ability to achieve customized optimization of air interface and network and automated operation and maintenance through end-to-end AI to provide the best solution that meets diverse needs; NET4AI includes, for example, but is not limited to, the ability to provide native integrated communication, computing, and perception capabilities through 6G network elements to accelerate the evolution of centralized intelligence on the cloud to deep edge ubiquitous intelligence, and to provide distributed learning infrastructure for AI.

[0174] There can be different AI deployment methods in 6G network, and different frequency points or cells may have different support for AI. For example, some frequency points or cells may support AI, and some frequency points or cells may not support AI. Even if all frequency points or cells support AI, the AI resources or AI services supported by different frequency points or cells may be different. Therefore, in the 6G network, if an inappropriate frequency point or cell is selected, the AI needs of the terminal may not be supported.

[0175] FIG. 2A is an interaction schematic diagram of an information processing method according to an embodiment of the present disclosure. As shown in FIG. 2A, the embodiment of the present disclosure relates to an information processing method, and the method includes:

[0176] In step S2101, the terminal sends capability information to the network device.

[0177] In some embodiments, the terminal has the capability of performing cell selection or cell reselection according to the AI needs of the terminal, or in other words, the terminal has the capability of supporting cell restriction or cell reselection according to the AI needs of the terminal. The AI needs of the terminal will be described in detail below, and will not be repeated here.

[0178] In some embodiments, the capability information is used to indicate that the terminal supports cell selection or cell reselection according to the AI needs of the terminal.

[0179] In some embodiments, the name of the capability information is not limited, which is, for example, “capability indication” and the like.

[0180] In some embodiments, the names of information and the like are not limited to the names described in the embodiments, and terms such as "information", "message", "signal", "signaling", "report", "configuration", "indication", "instruction", "command", "channel", "parameter", "domain", "field", "symbol", "symbol", "codebook", "codeword", "code point", "bit", "data", "program", "chip", and the like can be replaced with each other.

[0181] In some embodiments, the network device receives the capability information sent by the terminal, so that the network device can provide corresponding configuration for the terminal to perform the cell selection or cell reselection procedure.

[0182] In step S2102, the network device sends configuration information to the terminal.

[0183] In some embodiments, the terminal receives the configuration information sent by the network device.

[0184] In some embodiments, the network device sends a first message to the terminal, and the first message includes the configuration information.

[0185] In some embodiments, the terminal receives the first message sent by the network device to achieve the reception of the configuration information.

[0186] In some embodiments, the first message is a system message and / or dedicated signaling.

[0187] In some embodiments, the system message can be a master information block (MIB), or the system message can be an existing system information block (SIB), such as SIB1, SIB2, SIB3, SIB4, SIB5, etc., or the system message can be a newly defined SIB.

[0188] In some embodiments, the terminal is configured with two sets of configuration information configured by system message and dedicated signaling, and the configuration information configured by dedicated signaling can override the configuration information configured by system message. That is, if the terminal is configured with two sets of configuration information configured by system message and dedicated signaling, the terminal can preferentially use the configuration information configured by dedicated signaling to implement subsequent information processing.

[0189] In some embodiments, the configuration information is used to indicate information related to a frequency point and / or a cell.

[0190] In some embodiments, the name of the configuration information is not limited, which is, for example, "frequency point information", "cell information", "cell selection information", "cell reselection information", "selection indication information", "reselection indication information", etc.

[0191] In some embodiments, the configuration information includes at least one of first configuration information, second configuration information, and third configuration information.

[0192] In some embodiments, the first configuration information includes frequency point information and / or frequency point priority.

[0193] In some embodiments, the frequency point information includes, for example, frequency point identification, but is not limited thereto.

[0194] In some embodiments, the name of the first configuration information is not limited, which is, for example, "frequency point related information", etc.

[0195] In some embodiments, the second configuration information includes cell information and / or cell priority information.

[0196] In some embodiments, the cell information includes, for example, cell identification, but is not limited thereto.

[0197] In some embodiments, the name of the second configuration information is not limited, which is, for example, "cell related information", etc.

[0198] In some embodiments, the third configuration information is used to indicate at least one of AI capability information and AI capability priority information associated with a frequency point, and / or the third configuration information is used to indicate at least one of AI capability information and AI capability priority information associated with a cell.

[0199] In some embodiments, the name of the third configuration information is not limited, which is, for example, "AI capability information", "network AI capability information", "network AI capability indication", etc.

[0200] In some embodiments, the third configuration information is used to indicate at least one of whether a frequency point and / or a cell can support an AI function, an AI service type that can be provided by the frequency point and / or the cell, an AI resource type that can be provided by the frequency point and / or the cell, an AI use case type that can be provided by the frequency point and / or the cell, and an AI capability exposure mode that can be provided by the frequency point and / or the cell.

[0201] In some embodiments, the AI capability includes an AI service, an AI resource, an AI use case, etc. that can be provided, but is not limited thereto. Accordingly, whether the frequency point and / or the cell can support the AI capability can be whether the frequency point and / or the cell can provide the AI service, the AI resource, the AI use case, etc., but is not limited thereto.

[0202] In some embodiments, the AI service type can include at least one of an AI data service, an AI model inference service, an AI training service, and an AI verification service, but is not limited thereto.

[0203] In some embodiments, the AI resource type can include at least one of an AI computing power resource, an AI algorithm resource (or AI model resource), an AI data resource, and an AI connection resource, but is not limited thereto.

[0204] In some embodiments, the AI use case type includes at least one of an AI positioning-based use case and an AI beam management-based use case, but is not limited thereto.

[0205] In some embodiments, the AI capability exposure mode can include at least one of exposing AI capability of a terminal to a network device, exposing AI capability of a network device to a terminal, and exposing AI capability of a terminal to other terminals, but is not limited thereto.

[0206] In some embodiments, the exposing AI capability of a terminal to other terminals can be implemented based on control of the network device.

[0207] In some embodiments, the configuration information can be associated with a valid time and / or a valid area, and the configuration information can be valid within the associated valid time and / or valid area.

[0208] In some embodiments, the valid time and / or the valid area can be agreed upon by a protocol, or the valid time can be configured by the network device for the terminal.

[0209] In some embodiments, the valid time can be configured by a timer, that is, the valid time can be indicated by a timer duration, and the configuration information is within the valid time before the timer expires.

[0210] In some embodiments, the terms of "time", "moment", "time point", "time position" and the like can be replaced with each other, and the terms of "time", "time length", "time period", "time window", "window" and the like can be replaced with each other.

[0211] In some embodiments, the effective area can be a cell level, a tracking area (TA) level, a register area (RA) level, an AI service area, or a geographical location area, but is not limited thereto.

[0212] In some embodiments, the terms of "cell", "component carrier (CC)", "frequency carrier", "carrier frequency" and the like can be replaced with each other.

[0213] For example, the terminal can receive configuration information configured by the network device through dedicated signaling, the configuration information can be associated with the timer length and / or the available range, and before the timer expires or the terminal is located within the available range, the terminal can implement the subsequent information processing process based on the configuration information provided in the dedicated signaling; in the case that the timer expires or the terminal exceeds the available range, the configuration information provided by the dedicated signaling is invalid, and the terminal can implement the subsequent information processing process based on other information provided by the dedicated signaling or the configuration information provided in the system message.

[0214] Optionally, the valid time and / or the valid range associated with the configuration information can be bound with the available time and / or the available range of the network AI capability.

[0215] In some embodiments, the network device can provide AI capability for the terminal through multiple capability providing manners. Optionally, the network device can provide AI capability for the terminal through the current frequency point and / or cell, or the network device can request other frequency points and / or cells to provide AI capability for the terminal.

[0216] In some embodiments, the network device can also send indication information to the terminal, and the indication information is used to indicate the capability providing manner of the network device.

[0217] In some embodiments, the terminal can receive the indication information sent by the network device, and the indication information is used for cell selection or cell reselection.

[0218] In step S2103, the terminal performs cell selection or cell reselection based on the configuration information and the AI demand information of the terminal.

[0219] In some embodiments, the AI requirement information of the terminal can be used to indicate the AI capability requirement expected by the terminal, but is not limited thereto.

[0220] In some embodiments, the AI requirement information of the terminal can be determined according to information provided by a higher layer, for example, information provided to the AS by NAS.

[0221] In some embodiments, the AI requirement information is determined by the AS layer of the terminal.

[0222] In some embodiments, the AI requirement information is used to indicate at least one of whether the terminal requires the network device to be capable of supporting AI functions, an AI service type required by the terminal for the network device to support, an AI resource type required by the terminal for the network device to support, an AI use case type required by the terminal for the network device to support, and an AI capability exposure mode required by the terminal for the network device to support.

[0223] In some embodiments, the AI capability includes AI services, AI resources, AI use cases, etc. that can be provided, but is not limited thereto. Accordingly, whether the terminal requires the network device to be capable of supporting AI functions can be whether the terminal requires the network device to be capable of providing AI services, AI resources, AI use cases, etc., but is not limited thereto.

[0224] In some embodiments, the AI service type can include at least one of AI data services, AI model inference services, AI training services, and AI verification services, but is not limited thereto.

[0225] In some embodiments, the AI resource type can include at least one of AI computing power resources, AI algorithm resources (or AI model resources), AI data resources, and AI connection resources, but is not limited thereto.

[0226] In some embodiments, the AI use case type includes at least one of AI positioning-based use cases and AI beam management-based use cases, but is not limited thereto.

[0227] In some embodiments, the AI capability exposure mode can include at least one of the terminal exposing AI capabilities to the network device, the network exposing AI capabilities to the terminal, and terminals exposing AI capabilities to each other, but is not limited thereto.

[0228] In some embodiments, the terminals exposing AI capabilities to each other can be implemented based on the control of the network device.

[0229] In some embodiments, the terminals exposing AI capabilities to each other can also be implemented without the control of the network device, that is, the terminals exposing AI capabilities to each other can be implemented by directly connecting the terminals to provide AI capabilities for each other.

[0230] In some embodiments, the name of the AI requirement information is not limited, which is, for example, "AI capability requirement information", "AI capability requirement", and the like.

[0231] In some embodiments, the terminal can determine the priority of the cell and / or frequency point based on the configuration information and the AI requirement information of the terminal, so that the cell selection or cell reselection can be implemented according to the priority of the frequency point and / or cell.

[0232] In some embodiments, the priority of the frequency point and / or cell supporting the AI capability requirement of the terminal can be determined to be higher than the priority of the frequency point and / or cell not supporting the AI capability requirement of the terminal.

[0233] Optionally, in the initial cell selection process, the terminal can preferentially search for a frequency point supporting the AI capability requirement of the terminal, and / or if the strongest cell on the searched frequency point does not support the AI capability requirement of the terminal, the terminal can continue to search the next frequency point / cell to determine whether it is suitable for camping.

[0234] Optionally, in the initial cell selection process, the terminal can preferentially search for a frequency point supporting the AI capability requirement of the terminal, and if the strongest cell on the searched frequency point does not support the AI capability requirement of the terminal, the terminal can continue to search the next frequency point to determine whether it is suitable for camping.

[0235] Optionally, in the initial cell selection process, the terminal can preferentially search for a frequency point supporting the AI capability requirement of the terminal, and if the strongest cell on the searched frequency point does not support the AI capability requirement of the terminal, the terminal can continue to search the next cell to determine whether it is suitable for camping. Optionally, if the Nth-ranked cell searched is still not suitable for camping, the next frequency point is searched. For example, N can be 2, for a shared spectrum frequency point, if the second cell is still not suitable, the next frequency point is searched, N can also be other values, which are not limited, and the value of N can be determined by protocol agreement.

[0236] Optionally, in the initial cell selection process, the terminal can perform frequency point search based on implementation, and if the strongest cell on the searched frequency point does not support the AI capability requirement of the terminal, the terminal can continue to search the next frequency point to determine whether it is suitable for camping.

[0237] Optionally, in the initial cell selection process, the terminal can perform frequency point search based on implementation, and if the strongest cell on the searched frequency point does not support the AI capability requirement of the terminal, the terminal can continue to search the next cell to determine whether it is suitable for camping. Optionally, if the Nth-ranked cell searched is still not suitable for camping, the next frequency point is searched. For example, N can be 2, for a shared spectrum frequency point, if the second cell is still not suitable, the next frequency point is searched, N can also be other values, which are not limited, and the value of N can be determined by protocol agreement.

[0238] Optionally, the cell selection can also be implemented based on the stored information. For the cell selection based on the stored information, the terminal can store the network AI capability of the frequency point / cell, and in the process of cell selection, the terminal can determine whether to search for the frequency point / cell supporting the AI capability requirement of the terminal based on the previously stored information to determine whether the frequency point / cell is suitable for camping.

[0239] In some embodiments, there are multiple frequency points and / or cells supporting the AI capability requirement of the terminal, and the priority of the multiple frequency points and / or cells supporting the AI capability requirement of the terminal can be determined based on the terminal implementation.

[0240] In some embodiments, there are multiple frequency points and / or cells supporting the AI capability requirement of the terminal, and the priority of the multiple frequency points and / or cells supporting the AI capability requirement of the terminal can be determined based on the first priority information. The first priority information can be determined by protocol agreement or terminal implementation or network configuration.

[0241] In some embodiments, the first priority information can be absolute priority information of the frequency point and / or cell, and if there are multiple frequency points and / or cells supporting the AI capability requirement of the terminal, the relative priority information for cell selection and / or cell reselection can be determined according to the absolute priority information of the frequency point and / or cell configured by the network, and the terminal gives priority to the frequency point and / or cell with higher relative priority in cell selection and / or cell reselection.

[0242] In some embodiments, the first priority information can be priority information of the AI capability requirement, and if there are multiple frequency points and / or cells supporting the AI capability requirement of the terminal, the priority of the frequency point and / or cell can be determined according to the priority of the AI capability requirement. Optionally, the priority of the frequency point and / or cell supporting the first AI capability requirement is higher than the priority of the frequency point and / or cell supporting the second AI capability requirement. Wherein, the priority of the first AI capability requirement is higher than the priority of the second AI capability requirement.

[0243] In some embodiments, there are multiple frequency points and / or cells not supporting the AI capability requirement of the terminal, and the priority of the multiple frequency points and / or cells not supporting the AI capability requirement of the terminal can be determined based on the terminal implementation.

[0244] In some embodiments, there are multiple frequency points and / or cells not supporting the AI capability requirement of the terminal, and the priority of the multiple frequency points and / or cells not supporting the AI capability requirement of the terminal can be determined based on the first priority information. The first priority information can be determined by protocol agreement or terminal implementation or network configuration.

[0245] In some embodiments, the first priority information can be absolute priority information of the frequency point and / or the cell, and if there are multiple frequency points and / or cells supporting the AI capability requirement of the terminal, the relative priority information for cell selection and / or cell reselection can be determined according to the absolute priority information of the frequency point and / or the cell configured by the network, and the terminal prioritizes the frequency point and / or the cell with higher relative priority in cell selection and / or cell reselection.

[0246] In some embodiments, the first priority information can be priority information of the AI capability requirement, and if there are multiple frequency points and / or cells not supporting the AI capability requirement of the terminal, the priority of the frequency point and / or the cell can be determined according to the AI capability requirement priority. Optionally, the priority of the frequency point and / or the cell supporting the first AI capability requirement is higher than the priority of the frequency point and / or the cell supporting the second AI capability requirement. Wherein, the priority of the first AI capability requirement is higher than the priority of the second AI capability requirement.

[0247] Optionally, the priority of the AI capability requirement can be determined by the terminal, or the priority of the AI capability requirement can be configured by the network device for the terminal. For example, the priority of the AI capability requirement can be provided by the non-access stratum (NAS) to the access stratum (AS) for the AS to determine the priority of the frequency point and / or the cell.

[0248] In some embodiments, if there are multiple frequency points and / or cells supporting the AI capability requirement with the same priority, the priority of the multiple frequency points and / or cells supporting the AI capability requirement with the same priority can be determined based on the terminal implementation or the second priority information.

[0249] In some embodiments, the second priority information can be absolute priority information of the frequency point and / or the cell, and if there are multiple frequency points and / or cells supporting the AI capability requirement of the terminal and the multiple frequency points and / or cells supporting the AI capability requirement have the same priority, the relative priority information for cell selection and / or cell reselection can be determined according to the absolute priority information of the frequency point and / or the cell configured by the network, and the terminal prioritizes the frequency point and / or the cell with higher relative priority in cell selection and / or cell reselection.

[0250] In some embodiments, the priority of the frequency point and / or the cell can also be determined according to the number of supported AI capability requirements. Optionally, the priority of the frequency point and / or the cell supporting a larger number of AI capability requirements is higher than the priority of the frequency point and / or the cell supporting a smaller number of AI capability requirements.

[0251] In some embodiments, if there are multiple frequency points and / or multiple cells supporting the same number of AI capability requirements, the terminal can determine the priority of the multiple frequency points and / or multiple cells supporting the same number of AI capability requirements based on the terminal implementation or the second priority information.

[0252] In some embodiments, the second priority information can be absolute priority information of the frequency points and / or cells. If there are multiple frequency points and / or multiple cells supporting the AI capability requirements of the terminal and the multiple frequency points and / or multiple cells support the same number of AI capability requirements, the terminal can determine the relative priority information for cell selection and / or cell reselection according to the absolute priority information of the frequency points and / or cells configured by the network, and preferentially consider the frequency points and / or cells with higher relative priority in cell selection and / or cell reselection.

[0253] In some embodiments, for the priority of the frequency points, the terminal can also determine the priority of each frequency point based on the AI capability of the first cell on each frequency point, and the determined priority can be the selection or reselection priority of the frequency point. For any frequency point, the first cell can be the highest-ranked cell on the frequency point, or the first cell can be the best cell on the frequency point, but is not limited thereto.

[0254] For example, the terminal can determine the cell selection or reselection priority according to the configuration information and the AI requirement information, and perform cell selection or reselection measurement, cell selection or reselection evaluation, and cell selection or reselection ranking based on the determined cell selection or reselection priority to determine the first cell on the frequency point, so as to determine the selection or reselection priority of the frequency point to which the first cell belongs according to the AI capability of the first cell. If the AI capability of the first cell is different from the AI capability of the frequency point to which the first cell belongs, the terminal can re-determine the selection or reselection priority of the frequency point.

[0255] Alternatively, if the first cell does not support the AI capability requirements of the terminal, the terminal can consider that the frequency point to which the first cell belongs does not support the AI capability requirements of the terminal, and thus can consider the frequency point as a low-priority frequency point.

[0256] Alternatively, if the first cell supports the AI capability requirements of the terminal, the terminal can consider that the frequency point to which the first cell belongs supports the AI capability requirements of the terminal, and thus can determine the selection or reselection priority of the frequency point to which the first cell belongs based on the AI capability of the first cell.

[0257] In some embodiments, if the network device provides the terminal with indication information, the terminal can also perform cell selection or cell selection or reselection according to the configuration information, the AI requirement information, and the indication information. That is, the terminal can determine the priority of the frequency points and / or cells according to the configuration information, the AI requirement information, and the indication information.

[0258] Optionally, the terminal can determine the priority of the frequency point and / or the cell according to the configuration information, the AI demand information, and the indication information, in combination with a privacy policy of the terminal.

[0259] For example, the network device can indicate the supported AI computing power and the support manner, the indicated support manner can be that the computing power provided by the current cell only includes the computing power directly provided for the terminal, or the computing power provided by the current cell only includes the computing power requested from other nodes (such as UE, CN, gNB) to provide for the terminal, or the computing power provided by the current cell includes the computing power directly provided for the terminal and the computing power requested from other nodes to provide for the terminal; then the terminal can select according to the privacy policy, for example, for the terminal with high privacy requirement, only the cell selection according to the directly provided computing power can be performed.

[0260] For example, the network device can indicate the supported AI service and the support manner, the indicated support manner can be that the AI service provided by the current cell only includes the service directly provided for the terminal, or the AI service provided by the current cell only includes the service requested from other nodes (such as UE, CN, gNB) to provide for the terminal, or the AI service provided by the current cell includes the service directly provided for the terminal and the service requested from other nodes to provide for the terminal; then the terminal can select according to the privacy policy, for example, for the terminal with high privacy requirement, only the cell selection according to the directly provided AI service can be performed.

[0261] In some embodiments, the terminal can perform cell selection or cell reselection according to the priority of the frequency point and / or the cell. Optionally, the terminal can preferentially select the frequency point and / or the cell with higher priority.

[0262] In some embodiments, when performing cell selection or cell reselection, if a first cell on a certain frequency point is a suitable cell, the terminal can select or reselect to the cell, and update the priority of the frequency point to which the cell belongs in the case that the cell and the supported AI capability of the frequency point are inconsistent.

[0263] In some embodiments, when performing cell selection or cell reselection, if a first cell on a certain frequency point is a suitable cell, the terminal can also not select or reselect to the cell, but continue to search for cells on other frequency points for camping, and the terminal can update the priority of the frequency point to which the cell belongs in the case that the cell and the supported AI capability of the frequency point are inconsistent.

[0264] In some embodiments, when performing cell selection or cell reselection, for any frequency point, if a first cell on the frequency point does not support the AI capability demand of the terminal, the terminal can perform selection or reselection restriction operation.

[0265] In some embodiments, the selection or reselection restriction operation can be stopping the selection or reselection of the first cell, i.e., the first cell is no longer a candidate cell for selection or reselection; can be stopping the selection or reselection of the first cell and a second cell on the same frequency as the first cell, i.e., stopping the selection or reselection of all cells on the frequency to which the first cell belongs, i.e., all cells on the frequency to which the first cell belongs are no longer candidate cells for selection or reselection; can be lowering the priority of the first cell; can be lowering the priority of the frequency to which the first cell belongs, and the like, but is not limited thereto.

[0266] In some embodiments, the selection or reselection restriction can be valid within the first time and a first number of cell selection or reselection times. That is, the terminal can perform the selection or reselection restriction operation within the first time, or the terminal can perform the selection or reselection restriction operation if the number of cell selection or reselection performed by the terminal does not reach the first number.

[0267] In some embodiments, the first time can be agreed by the protocol; or the first time can be configured by the network device for the terminal, e.g., the network device can configure the first time for the terminal through a serving cell system message or dedicated signaling.

[0268] In some embodiments, the first number can be agreed by the protocol; or the first number can be configured by the network device for the terminal, e.g., the network device can configure the first number for the terminal through a serving cell system message or dedicated signaling.

[0269] In some embodiments, the terminal can release the selection or reselection restriction operation if the first condition is met.

[0270] In some embodiments, the first condition can be a change in the network state of the network device, a change in the network state of the terminal, or a change in the AI capability requirement of the terminal.

[0271] In some embodiments, the change in the network state of the network device can include AI capability update of the network device, the network device indicating release of the selection or reselection restriction operation, change of the first cell, the network device controlling the terminal to redirect to the first frequency.

[0272] In some embodiments, the AI capability update of the network device can be that the network device updates the AI capability through a system message, but is not limited thereto.

[0273] In some embodiments, the network device indicating release of the selection or reselection restriction operation can be that the network device indicates release of the selection or reselection restriction through a system message or dedicated signaling, but is not limited thereto.

[0274] In some embodiments, the first cell change can be due to a legacy mechanism for barred cell, but not limited thereto.

[0275] In some embodiments, the network device controlling the terminal to be redirected to the first frequency point can be that the network device controls the terminal to be redirected to any frequency point, and the frequency point to which the redirection is performed is unselected or reselected.

[0276] In some embodiments, the network state of the terminal changes, which can be that the terminal no longer performs cell selection or reselection based on the AI capability of the network device, that the terminal enters any cell selection state, that the terminal receives an indication about the unselected or reselected restriction operation, that the public land mobile network (PLMN) accessed by the terminal changes, and the like, but not limited thereto.

[0277] In some embodiments, the terminal no longer performs cell selection or reselection based on the AI capability of the network device, which can be that the terminal falls back to a legacy cell selection or reselection procedure.

[0278] In some embodiments, the terminal receives an indication about the unselected or reselected restriction operation, which can be that the terminal AS receives an indication from the terminal NAS to determine that the selection or reselection restriction is unselected.

[0279] In some embodiments, the PLMN accessed by the terminal changes, which can be that the terminal selects another PLMN.

[0280] In some embodiments, the AI capability requirement of the terminal changes, which can be that the expected AI capability requirement of the terminal changes.

[0281] In some embodiments, “obtain”, “get”, “receive”, “transmit”, “bidirectional transmission”, “send and / or receive” can be replaced with each other, which can be interpreted as receiving from other subjects, obtaining from protocols, obtaining from higher layers, processing to obtain by itself, and the like.

[0282] In some embodiments, the terms “send”, “transmit”, “report”, “issue”, “transmit”, “bidirectional transmission”, “send and / or receive” can be replaced with each other.

[0283] In some embodiments, the terms "certain", "preset", "pre-set", "set", "indicated", "any", "first", and the like can be replaced with each other, and "certain A", "preset A", "pre-set A", "set A", "indicated A", "any A", "first A" can be interpreted as A predetermined in a protocol or the like, or A obtained by setting, configuration, or indication, or a specific A, any A, or first A, but are not limited thereto.

[0284] In some embodiments, the determination or judgment can be made by a value represented by 1 bit (0 or 1), or by a true or false value (Boolean value) represented by true or false, or by comparison of numerical values (for example, comparison with a predetermined value), but is not limited thereto.

[0285] In some embodiments, "not expecting to receive" can be interpreted as not receiving on the time domain resource and / or the frequency domain resource, or as not performing subsequent processing on the data or the like after receiving the data or the like; "not expecting to send" can be interpreted as not sending, or as sending but not expecting the receiver to respond to the content of the sending.

[0286] The information processing method according to the embodiments of the present disclosure can include at least one of steps S2101-S2103. For example, step S2102 can be implemented as an independent embodiment, step S2103 can be implemented as an independent embodiment, steps S2101+S2102 can be implemented as an independent embodiment, steps S2101+S2103 can be implemented as an independent embodiment, steps S2102+S2103 can be implemented as an independent embodiment, but are not limited thereto.

[0287] In some embodiments, steps S2101 and S2102 are optional, and one or more of these steps can be omitted or replaced in different embodiments.

[0288] In some embodiments, steps S2101 and S2103 are optional, and one or more of these steps can be omitted or replaced in different embodiments.

[0289] FIG. 2B is an interaction diagram of an information processing method according to an embodiment of the present disclosure. As shown in FIG. 2B, the embodiments of the present disclosure relate to an information processing method, and the method includes:

[0290] In step S2201, the terminal sends capability information to the network device.

[0291] In some embodiments, the terminal has the capability of performing cell selection or cell reselection according to the AI requirement of the terminal, or in other words, the terminal supports the capability of performing cell selection or cell reselection according to the AI requirement of the terminal. The AI requirement of the terminal will be described in detail below, and will not be repeated here.

[0292] In some embodiments, the capability information is used to indicate that the terminal supports performing cell selection or cell reselection according to the AI requirement of the terminal.

[0293] In some embodiments, the network device receives the capability information sent by the terminal, so that the network device can provide corresponding configuration for the terminal to perform the cell selection or cell reselection procedure.

[0294] In step S2202, the terminal sends AI requirement information to the network device.

[0295] In some embodiments, the network device can receive the AI requirement information of the terminal.

[0296] In some embodiments, the terminal can send the AI requirement information to the network device in the connected state; and the network device can receive the AI requirement information sent by the terminal in the connected state. The AI requirement information is used by the network device to provide configuration information for the terminal when the terminal is released to the idle state or the inactive state.

[0297] In some embodiments, the terminal can send a second message to the network device, and the second message includes the AI requirement information.

[0298] In some embodiments, the network device can receive the second message sent by the terminal to achieve the reception of the AI requirement information.

[0299] In some embodiments, the second message is a NAS message and / or an AS message.

[0300] In some embodiments, the network device is a core network device (such as a core network function node), and the second message can be a NAS message, for example, the second message can be a registration request or other NAS message. Alternatively, the terminal can send the AI requirement information to the core network device (such as AMF) in the registration request or other NAS message, so that the core network device provides configuration information.

[0301] In some embodiments, the network device is an access network device (such as NG-RAN), and the second message can be an AS message, for example, the second message can be a connection establishment request or other AS message. Alternatively, the terminal can send the AI requirement information to the access network device in the connection establishment request or other AS message, so that the access network device provides configuration information.

[0302] In some embodiments, the AI requirement information of the terminal can be used to indicate the AI capability requirement expected by the terminal, but is not limited thereto.

[0303] In some embodiments, the AI requirement information of the terminal can be determined according to information provided by a higher layer, for example, information provided to the AS by NAS.

[0304] In some embodiments, the AI requirement information is determined by the AS layer of the terminal.

[0305] In some embodiments, the AI requirement information is used to indicate at least one of whether the terminal requires the network device to be capable of supporting AI functions, an AI service type required by the terminal for the network device to support, an AI resource type required by the terminal for the network device to support, an AI use case type required by the terminal for the network device to support, and an AI capability exposure mode required by the terminal for the network device to support.

[0306] In some embodiments, the AI capability includes AI services, AI resources, AI use cases, etc. that can be provided, but is not limited thereto. Accordingly, whether the terminal requires the network device to be capable of supporting AI functions can be whether the terminal requires the network device to be capable of providing AI services, AI resources, AI use cases, etc., but is not limited thereto.

[0307] In some embodiments, the AI service type can include at least one of AI data services, AI model inference services, AI training services, and AI verification services, but is not limited thereto.

[0308] In some embodiments, the AI resource type can include at least one of AI computing power resources, AI algorithm resources (or AI model resources), AI data resources, and AI connection resources, but is not limited thereto.

[0309] In some embodiments, the AI use case type includes at least one of AI positioning-based use cases and AI beam management-based use cases, but is not limited thereto.

[0310] In some embodiments, the AI capability exposure mode can include at least one of the terminal exposing AI capabilities to the network device, the network exposing AI capabilities to the terminal, and terminals exposing AI capabilities to each other, but is not limited thereto.

[0311] In some embodiments, the terminals exposing AI capabilities to each other can be implemented based on the control of the network device.

[0312] In some embodiments, the terminals exposing AI capabilities to each other can also be implemented without the control of the network device, that is, the terminals exposing AI capabilities to each other can be implemented by directly connecting the terminals to provide AI capabilities for each other.

[0313] At step S2203, the network device sends configuration information to the terminal based on the AI requirement information.

[0314] In some embodiments, the terminal receives the configuration information sent by the network device.

[0315] In some embodiments, the AI requirement information is sent by the terminal when it is in a connected state, and the network device can send the configuration information to the terminal when it releases the terminal to an idle state or an inactive state.

[0316] In some embodiments, the network device can send a radio resource control (RRC) message to the terminal, and the RRC message includes the configuration information.

[0317] In some embodiments, the terminal receives the RRC message sent by the network device to achieve the reception of the configuration information.

[0318] In some embodiments, the RRC message can be an RRC Release message, but is not limited thereto.

[0319] In some embodiments, the network device is a core network device (such as a core network function node), and the terminal can send the AI requirement information to the core network device (such as an AMF) in a registration request or other NAS message. The core network device can determine a radio access technology frequency selection priority (RFSP) index based on the AI requirement information and provide it to an access network device (such as an NG-RAN). The access network device can generate a frequency priority or provide frequency point information and / or cell information based on the RFSP index in combination with a locally defined configuration mapping. Optionally, the generated frequency priority or provided frequency point information and / or cell information can be provided to the terminal through an RRC Release message for cell selection / reselection by the terminal.

[0320] In some embodiments, the network device is an access network device (such as an NG-RAN), and the terminal can send the AI requirement information to the access network device in a connection establishment request or other AS message. The access network device can generate a frequency priority or provide frequency point information and / or cell information based on the AI requirement information. Optionally, the generated frequency priority or provided frequency point information and / or cell information can be provided to the terminal through an RRC Release message for cell selection / reselection by the terminal.

[0321] In some embodiments, the configuration information is used to indicate information related to a frequency point and / or a cell.

[0322] In some embodiments, the configuration information comprises at least one of first configuration information, second configuration information, and third configuration information.

[0323] In some embodiments, the first configuration information comprises frequency point information and / or frequency point priority.

[0324] In some embodiments, the frequency point information comprises, for example, but is not limited to, a frequency point identifier.

[0325] In some embodiments, the second configuration information comprises cell information and / or cell priority information.

[0326] In some embodiments, the cell information comprises, for example, but is not limited to, a cell identifier.

[0327] In some embodiments, the third configuration information is used to indicate at least one of AI capability information and AI capability priority information associated with a frequency point, and / or, the third configuration information is used to indicate at least one of AI capability information and AI capability priority information associated with a cell.

[0328] In some embodiments, the third configuration information is used to indicate at least one of whether a frequency point and / or a cell is capable of supporting an AI function, an AI service type that a frequency point and / or a cell is capable of providing, an AI resource type that a frequency point and / or a cell is capable of providing, an AI use case type that a frequency point and / or a cell is capable of providing, and an AI capability exposure mode that a frequency point and / or a cell is capable of providing.

[0329] In some embodiments, the AI capability comprises, for example, but is not limited to, an AI service, an AI resource, and an AI use case. Accordingly, whether a frequency point and / or a cell is capable of supporting an AI capability can be whether a frequency point and / or a cell is capable of providing an AI service, an AI resource, and an AI use case, but is not limited thereto.

[0330] In some embodiments, the AI service type can comprise, for example, but is not limited to, at least one of an AI data service, an AI model inference service, an AI training service, and an AI verification service.

[0331] In some embodiments, the AI resource type can comprise, for example, but is not limited to, at least one of an AI computing resource, an AI algorithm resource (or AI model resource), an AI data resource, and an AI connection resource.

[0332] In some embodiments, the AI use case type comprises, for example, but is not limited to, at least one of an AI positioning-based use case and an AI beam management-based use case.

[0333] In some embodiments, the AI capability exposure mode can include at least one of the terminal exposing AI capability to the network device, the network exposing AI capability to the terminal, and the terminal and other terminals exposing AI capability to each other, but is not limited thereto.

[0334] In some embodiments, the terminal and other terminals exposing AI capability to each other can be implemented based on the control of the network device.

[0335] In some embodiments, the frequency corresponding to the information included in the first configuration information and the cell corresponding to the information included in the second configuration information can include only the frequency and cell supporting the AI capability requirement of the terminal, or can include all the frequency and cell.

[0336] In some embodiments, the frequency corresponding to the information included in the first configuration information and the cell corresponding to the information included in the second configuration information include only the frequency and cell supporting the AI capability requirement of the terminal, and the configuration information optionally includes the third configuration information, that is, the third configuration information can be included in the configuration information or can not be included.

[0337] In some embodiments, the frequency corresponding to the information included in the first configuration information and the cell corresponding to the information included in the second configuration information include all the frequency and cell, and the third configuration information is included in the configuration information.

[0338] In some embodiments, the configuration information can be associated with a valid time and / or a valid area, and the configuration information can be in the associated valid time and / or valid area.

[0339] In some embodiments, the valid time and / or the valid area can be agreed upon by the protocol, or the valid time can be configured by the network device for the terminal.

[0340] In some embodiments, the valid time can be configured by a timer, that is, the valid time can be indicated by the timer duration, and before the timer expires, the configuration information is in the valid time.

[0341] In some embodiments, the valid area can be a cell level, a TA level, a RA level, an AI service area, or a geographical location area, but is not limited thereto.

[0342] Optionally, the valid time and / or the valid range associated with the configuration information can be bound to the available time and / or the available range of the network AI capability.

[0343] In some embodiments, the network device can provide the AI capability for the terminal through multiple capability providing manners. Optionally, the network device can provide the AI capability for the terminal through a current frequency point and / or cell, or the network device can request other frequency points and / or cells to provide the AI capability for the terminal.

[0344] In some embodiments, the network device can further send indication information to the terminal, the indication information being used to indicate the capability providing manner of the network device.

[0345] In some embodiments, the terminal can receive the indication information sent by the network device, and perform cell selection or cell reselection.

[0346] In step S2204, the terminal performs cell selection or cell reselection based on the configuration information and the AI demand information of the terminal.

[0347] In some embodiments, the terminal can determine the priority of the cell and / or frequency point based on the configuration information and the AI demand information of the terminal, so that the cell selection or cell reselection can be implemented according to the priority of the frequency point and / or cell.

[0348] In some embodiments, the priority of the frequency point and / or cell supporting the AI capability demand of the terminal can be determined to be higher than the priority of the frequency point and / or cell not supporting the AI capability demand of the terminal.

[0349] Optionally, in the initial cell selection process, the terminal can preferentially search for the frequency point supporting the AI capability demand of the terminal, and / or if the strongest cell on the searched frequency point does not support the AI capability demand of the terminal, the terminal can continue to search the next frequency point / cell to determine whether it is suitable for camping.

[0350] Optionally, in the initial cell selection process, the terminal can preferentially search for the frequency point supporting the AI capability demand of the terminal, and if the strongest cell on the searched frequency point does not support the AI capability demand of the terminal, the terminal can continue to search the next frequency point to determine whether it is suitable for camping.

[0351] Optionally, in the initial cell selection process, the terminal can preferentially search for the frequency point supporting the AI capability demand of the terminal, and if the strongest cell on the searched frequency point does not support the AI capability demand of the terminal, the terminal can continue to search the next cell to determine whether it is suitable for camping. Optionally, if the Nth cell in the ranking is still not suitable for camping, the next frequency point is searched. For example, N can be 2, for the frequency point of shared spectrum, if the second cell is still not suitable, the next frequency point is searched, N can also be other values, which are not limited, and the value of N can be determined by protocol agreement.

[0352] Optionally, in the initial cell selection process, the terminal can perform frequency search based on implementation, if the strongest cell on the search frequency does not support the AI capability requirement of the terminal, the terminal can continue to search the next frequency to determine whether it is suitable to reside.

[0353] Optionally, in the initial cell selection process, the terminal can perform frequency search based on implementation, if the strongest cell on the search frequency does not support the AI capability requirement of the terminal, the terminal can continue to search the next cell to determine whether it is suitable to reside. Optionally, if the Nth ranked cell is still not suitable to reside, continue to search the next frequency. For example, N can be 2, for the frequency of shared spectrum, if the second cell is still not suitable, continue to search the next frequency, N can also be other values, not limited, the value of N can be determined by protocol agreement.

[0354] Optionally, cell selection can also be implemented based on stored information. For cell selection based on stored information, the terminal can store the network AI capability of the frequency / cell, in the process of cell selection, the terminal can determine whether to search based on the previously stored information to determine whether the frequency / cell supporting the AI capability requirement of the terminal is suitable to reside according to its own demand.

[0355] In some embodiments, there are multiple frequencies and / or cells supporting the AI capability requirement of the terminal, the priority of the multiple frequencies and / or cells supporting the AI capability requirement of the terminal can be determined based on terminal implementation.

[0356] In some embodiments, there are multiple frequencies and / or cells supporting the AI capability requirement of the terminal, the priority of the multiple frequencies and / or cells supporting the AI capability requirement of the terminal can be determined based on first priority information. The first priority information can be determined by protocol agreement or terminal implementation or network configuration.

[0357] In some embodiments, the first priority information can be absolute priority information of the frequency and / or cell, if there are multiple frequencies and / or cells supporting the AI capability requirement of the terminal, the relative priority information for cell selection and / or cell reselection is determined according to the absolute priority information of the frequency and / or cell configured by the network, and the terminal gives priority to the frequency and / or cell with higher relative priority in cell selection and / or cell reselection.

[0358] In some embodiments, the first priority information can be AI capability requirement priority information, and if there are multiple frequency points and / or cells that support the AI capability requirement of the terminal, the priority of the frequency points and / or cells can be determined according to the AI capability requirement priority. Optionally, the priority of the frequency points and / or cells supporting the first AI capability requirement is higher than the priority of the frequency points and / or cells supporting the second AI capability requirement. Wherein, the priority of the first AI capability requirement is higher than the priority of the second AI capability requirement.

[0359] In some embodiments, there are multiple frequency points and / or cells that do not support the AI capability requirement of the terminal, and the priority of the multiple frequency points and / or cells that do not support the AI capability requirement of the terminal can be determined based on terminal implementation.

[0360] In some embodiments, there are multiple frequency points and / or cells that do not support the AI capability requirement of the terminal, and the priority of the multiple frequency points and / or cells that do not support the AI capability requirement of the terminal can be determined based on the first priority information. The first priority information can be determined by protocol agreement or terminal implementation or network configuration.

[0361] In some embodiments, the first priority information can be absolute priority information of the frequency points and / or cells, and if there are multiple frequency points and / or cells that support the AI capability requirement of the terminal, the relative priority information for cell selection and / or cell reselection can be determined according to the absolute priority information of the frequency points and / or cells configured by the network, and the terminal prioritizes the frequency points and / or cells with higher relative priority in cell selection and / or cell reselection.

[0362] In some embodiments, the first priority information can be AI capability requirement priority information, and if there are multiple frequency points and / or cells that do not support the AI capability requirement of the terminal, the priority of the frequency points and / or cells can be determined according to the AI capability requirement priority. Optionally, the priority of the frequency points and / or cells supporting the first AI capability requirement is higher than the priority of the frequency points and / or cells supporting the second AI capability requirement. Wherein, the priority of the first AI capability requirement is higher than the priority of the second AI capability requirement.

[0363] Optionally, the priority of the AI capability requirement can be determined by the terminal, or the priority of the AI capability requirement can be configured by the network device for the terminal. For example, the priority of the AI capability requirement can be provided by the non-access stratum (NAS) to the access stratum (AS) for the AS to determine the priority of the frequency points and / or cells.

[0364] In some embodiments, if there are multiple frequency points and / or cells supporting the same priority of AI capability requirements, the priority of the multiple frequency points and / or cells supporting the same priority of AI capability requirements can be determined based on the terminal implementation or the second priority information.

[0365] In some embodiments, the second priority information can be absolute priority information of the frequency points and / or cells. If there are multiple frequency points and / or cells supporting the AI capability requirements of the terminal and the multiple frequency points and / or cells support the same priority of AI capability requirements, the relative priority information for cell selection and / or cell reselection can be determined according to the absolute priority information of the frequency points and / or cells configured by the network, and the terminal prioritizes the frequency points and / or cells with higher relative priority in cell selection and / or cell reselection.

[0366] In some embodiments, the priority of the frequency points and / or cells can also be determined according to the number of AI capability requirements supported. Optionally, the priority of the frequency points and / or cells supporting a larger number of AI capability requirements is higher than the priority of the frequency points and / or cells supporting a smaller number of AI capability requirements.

[0367] In some embodiments, if there are multiple frequency points and / or cells supporting the same number of AI capability requirements, the priority of the multiple frequency points and / or cells supporting the same number of AI capability requirements can be determined based on the terminal implementation or the second priority information.

[0368] In some embodiments, the second priority information can be absolute priority information of the frequency points and / or cells. If there are multiple frequency points and / or cells supporting the AI capability requirements of the terminal and the multiple frequency points and / or cells support the same number of AI capability requirements, the relative priority information for cell selection and / or cell reselection can be determined according to the absolute priority information of the frequency points and / or cells configured by the network, and the terminal prioritizes the frequency points and / or cells with higher relative priority in cell selection and / or cell reselection.

[0369] In some embodiments, for the priority of the frequency points, the terminal can also determine the priority of each frequency point based on the AI capability of the first cell on each frequency point, and the determined priority can be the selection or reselection priority of the frequency point. For any frequency point, the first cell is the highest-ranked cell on the frequency point, or the first cell is the best cell on the frequency point, but is not limited thereto.

[0370] For example, the terminal can determine the cell selection or reselection priority according to the configuration information and the AI demand information, and perform cell selection or reselection measurement, cell selection or reselection evaluation and cell selection or reselection ranking based on the determined cell selection or reselection priority, to determine a first cell on a frequency point, so as to determine the selection or reselection priority of the frequency point to which the first cell belongs according to the AI capability of the first cell, and if the AI capability of the first cell is different from the AI capability of the frequency point to which the first cell belongs, the terminal can re-determine the selection or reselection priority of the frequency point.

[0371] Optionally, if the first cell does not support the AI capability demand of the terminal, it can be considered that the frequency point to which the first cell belongs does not support the AI capability demand of the terminal, so that the frequency point can be regarded as a low-priority frequency point.

[0372] Optionally, if the first cell supports the AI capability demand of the terminal, it can be considered that the frequency point to which the first cell belongs supports the AI capability demand of the terminal, so that the selection or reselection priority of the frequency point to which the first cell belongs can be determined based on the AI capability of the first cell.

[0373] In some embodiments, if the network device provides the terminal with indication information, the terminal can also perform cell selection or cell reselection according to the configuration information, the AI demand information and the indication information. That is, the terminal can determine the priority of the frequency point and / or the cell according to the configuration information, the AI demand information and the indication information.

[0374] Optionally, the terminal can determine the priority of the frequency point and / or the cell according to the configuration information, the AI demand information and the indication information, in combination with the privacy policy of the terminal.

[0375] For example, the network device can indicate the supported AI computing power and the support mode, and the indicated support mode can be that the computing power provided by the current cell only includes the computing power directly provided for the terminal, or the computing power provided by the current cell only includes the computing power requested from other nodes (such as UE, CN, gNB) for the terminal, or the computing power provided by the current cell includes the computing power directly provided for the terminal and the computing power requested from other nodes for the terminal; the terminal can select according to the privacy policy, for example, for the terminal with high privacy requirement, only the computing power directly provided can be used for cell selection.

[0376] For example, the network side can indicate the supported AI service and the support mode, the indicated support mode can be that the AI service provided by the current cell only includes the service directly provided for the terminal, can be that the AI service provided by the current cell only includes the service requested from other nodes (such as UE, CN, gNB) to provide for the terminal, and can be that the AI service provided by the current cell includes the computing power directly provided for the terminal and the service requested from other nodes to provide for the terminal; then the terminal can select according to the privacy policy, for example, for the terminal with high privacy requirement, only the AI service directly provided can be used for cell selection.

[0377] In some embodiments, the terminal can perform cell selection or cell reselection according to the priority of the frequency point and / or cell. Optionally, the terminal can preferentially select the frequency point and / or cell with higher priority.

[0378] In some embodiments, when performing cell selection or cell reselection, if a first cell on a certain frequency point is a suitable cell, the terminal can select or reselect to the cell, and update the priority of the frequency point to which the cell belongs in the case that the cell and the supported AI capability of the frequency point are inconsistent.

[0379] In some embodiments, when performing cell selection or cell reselection, if a first cell on a certain frequency point is a suitable cell, the terminal can also not select or reselect to the cell, but continue to search for cells on other frequency points for camping, and the terminal can update the priority of the frequency point to which the cell belongs in the case that the cell and the supported AI capability of the frequency point are inconsistent.

[0380] In some embodiments, when performing cell selection or cell reselection, for any frequency point, if a first cell on the frequency point does not support the AI capability requirement of the terminal, the terminal can perform selection or reselection limiting operation.

[0381] In some embodiments, performing reselection limiting operation can be stopping the selection or reselection of the first cell, that is, no longer taking the first cell as a candidate cell for selection or reselection; can be stopping the selection or reselection of the first cell and a second cell on the same frequency as the first cell, that is, stopping the selection or reselection of all cells on the frequency point to which the first cell belongs, that is, not taking all cells on the frequency point to which the first cell belongs as candidate cells for selection or reselection; can be reducing the priority of the first cell; can be reducing the priority of the frequency point to which the first cell belongs, and the like, but not limited thereto.

[0382] In some embodiments, the selection or reselection restriction can be valid within a first time and a first number of cell selection or reselection times. That is, the terminal can perform the selection or reselection restriction operation within the first time, or the terminal can perform the selection or reselection restriction operation in a case where a number of times of performing cell selection or reselection does not reach the first number of times.

[0383] In some embodiments, the first time can be agreed by a protocol, or the first time can be configured by the network device for the terminal, for example, the network device can configure the first time for the terminal through a serving cell system message or dedicated signaling.

[0384] In some embodiments, the first number of times can be agreed by a protocol, or the first number of times can be configured by the network device for the terminal, for example, the network device can configure the first number of times for the terminal through a serving cell system message or dedicated signaling.

[0385] In some embodiments, the terminal can release the selection or reselection restriction operation in a case where a first condition is met.

[0386] In some embodiments, the first condition can be that a network state of the network device changes, or that a network state of the terminal changes, or that an AI capability requirement of the terminal changes.

[0387] In some embodiments, the network state of the network device changing can include the AI capability of the network device updating, the network device indicating to release the selection or reselection restriction operation, the first cell changing, or the network device controlling the terminal to be redirected to the first frequency.

[0388] In some embodiments, the AI capability of the network device updating can be that the network device updates the AI capability through a system message, but is not limited thereto.

[0389] In some embodiments, the network device indicating to release the selection or reselection restriction operation can be that the network device indicates to release the selection or reselection restriction through a system message or dedicated signaling, but is not limited thereto.

[0390] In some embodiments, the first cell changing can be that the highest ranked cell changes due to a Legacy mechanism for barred cell, but is not limited thereto.

[0391] In some embodiments, the network device controlling the terminal to be redirected to the first frequency can be that the network device controls the terminal to be redirected to any frequency, and the frequency to which the terminal is redirected releases the selection or reselection restriction.

[0392] In some embodiments, the network status of the terminal changes, which can be that the terminal no longer performs cell selection or reselection based on the AI capability of the network device, that the terminal enters any cell selection state, that the terminal receives an indication about releasing the selection or reselection restriction operation, that the PLMN accessed by the terminal changes, and the like, but is not limited thereto.

[0393] In some embodiments, the terminal no longer performs cell selection or reselection based on the AI capability of the network device, which can be that the terminal falls back to a legacy cell selection or reselection procedure.

[0394] In some embodiments, the terminal receives an indication about releasing the selection or reselection restriction operation, which can be that the AS of the terminal receives an indication from the NAS of the terminal to determine that the selection or reselection restriction is released.

[0395] In some embodiments, the PLMN accessed by the terminal changes, which can be that the terminal selects another PLMN.

[0396] In some embodiments, the AI capability requirement of the terminal changes, which can be that the expected AI capability requirement of the terminal changes.

[0397] The information processing method related to the embodiments of the present disclosure can include at least one of steps S2201-S2204. For example, step S2202 can be implemented as an independent embodiment, step S2203 can be implemented as an independent embodiment, step S2204 can be implemented as an independent embodiment, steps S2201+S2202 can be implemented as an independent embodiment, steps S2201+S2203 can be implemented as an independent embodiment, steps S2201+S2204 can be implemented as an independent embodiment, steps S2202+S2203 can be implemented as an independent embodiment, steps S2202+S2204 can be implemented as an independent embodiment, steps S2203+S2204 can be implemented as an independent embodiment, steps S2201+S2202+S2203 can be implemented as an independent embodiment, steps S2201+S2202+S2204 can be implemented as an independent embodiment, steps S2201+S2203+S2204 can be implemented as an independent embodiment, steps S2202+S2203+S2204 can be implemented as an independent embodiment, but is not limited thereto.

[0398] In some embodiments, steps S2201 and S2202 can be exchanged in order or performed simultaneously.

[0399] In some embodiments, steps S2201, S2202, and S2203 are optional, and one or more of these steps can be omitted or replaced in different embodiments.

[0400] In some embodiments, steps S2201, S2202, S2204 are optional, and one or more of these steps can be omitted or replaced in different embodiments.

[0401] In some embodiments, steps S2201, S2203, S2204 are optional, and one or more of these steps can be omitted or replaced in different embodiments.

[0402] In some embodiments, other optional implementations described before or after the corresponding description of FIG. 2A and FIG. 2B can be referred to.

[0403] According to the scheme provided by the embodiments of the present disclosure, the terminal (i.e., UE) can determine the priority of cell selection / reselection according to the network AI capability indication indicated by the network side and the expected AI capability requirement of the UE.

[0404] Optionally, in the initial cell selection process, the UE preferentially searches for a frequency point supporting the expected AI capability requirement of the UE, and / or if the strongest cell on the search frequency point does not support the expected AI capability of the UE, the terminal continues to search for the next frequency point / cell to determine whether it is suitable for camping.

[0405] Optionally, for cell selection based on stored information, the UE stores the network AI capability of the frequency point / cell (the existing mechanism stores the cell information), and in the process of cell selection, the terminal can determine whether to preferentially search for the frequency point / cell supporting the expected AI capability requirement of the UE based on the previously stored information to determine whether it is suitable for camping.

[0406] In some embodiments, the expected AI capability requirement of the UE is determined according to the information provided by the higher layer (such as NAS), for example, the expected AI capability requirement of the UE is determined by the information provided by the NAS to the AS. Wherein, the AI capability includes at least one of AI resources, AI services or AI use cases that can be provided.

[0407] In some embodiments, the expected AI capability requirement of the UE indicates at least one of the following:

[0408] (1) whether the terminal requires the network to be able to support AI functions;

[0409] (2) the terminal requires the network to be able to provide specific AI services, which include but are not limited to at least one of AI data, AI model, AI training, AI verification;

[0410] (3) the terminal requires the network to be able to provide specific AI resources, which include but are not limited to at least one of computing power, algorithm, data, connection;

[0411] (4) The terminal requires the network to be able to provide a specific AI use case, and the AI use case type includes at least one of AI-based positioning, AI-based beam management, and the like.

[0412] (5) The terminal requires the network to be able to provide an AI capability exposure mode, and the AI capability exposure mode can be UE exposing AI to NW, NW exposing AI capability to UE, mutual exposure of AI capability between UEs (based on NW control), and the like.

[0413] In some embodiments, the network AI capability indication is used to indicate at least one of the following:

[0414] (1) Whether a frequency point / cell can support an AI function;

[0415] (2) A specific AI service that a frequency point / cell can provide, and the AI service includes but is not limited to at least one of AI data, AI model, AI training, AI verification, and the like;

[0416] (3) A specific AI resource that a frequency point / cell can provide, and the AI resource includes but is not limited to at least one of computing power, algorithm, data, connection, and the like;

[0417] (4) An AI use case that a frequency point / cell can provide, and the AI use case type includes at least one of AI-based positioning, AI-based beam management, and the like;

[0418] (5) An AI capability exposure mode that a frequency point / cell can provide, and the AI capability exposure mode can be UE exposing AI to NW, NW exposing AI capability to UE, mutual exposure of AI capability between UEs (based on NW control), and the like.

[0419] In some embodiments, determining the priority of cell selection / reselection includes at least one of the following:

[0420] (1) The selection / reselection priority of a frequency point / cell that supports the UE's expected AI capability requirement is higher than the selection / reselection priority of a frequency point / cell that does not support the UE's expected AI capability requirement;

[0421] (2) The selection / reselection priority between multiple frequency points / cells that do / don't support the UE's expected AI capability requirement can be determined based on terminal implementation or network-configured selection / reselection priority determination.

[0422] In some embodiments, determining the priority of cell selection / reselection further includes: if there are multiple UE's expected AI capability requirements, the terminal determines the priority of cell selection / reselection according to at least one of the following:

[0423] (1) According to the AI capability requirement priority determination, the selection / reselection priority of the frequency point / cell supporting the high-priority AI capability requirement is higher than that of the frequency point / cell supporting the low-priority AI capability requirement. The AI capability requirement priority can be determined by the UE or configured by the network. The AI capability requirement priority can be provided by the UE NAS to the AS for determining the selection / reselection priority of cell selection / cell reselection.

[0424] (2) According to the number of supported AI capability requirements, the selection / reselection priority of the frequency point / cell supporting a larger number of AI capability requirements is higher than that of the frequency point / cell supporting a smaller number of AI capability requirements.

[0425] (3) If multiple frequency points / cells support the same priority / number of AI capability requirements, the priority between the frequency points / cells depends on the terminal implementation determination or the network configuration-based selection / reselection priority determination.

[0426] In some embodiments, the network AI capability indication indicated by the network side or the selection / reselection priority configured by the network can be provided to the UE through system messages or dedicated signaling.

[0427] Optionally, if the UE is configured with both the information provided, the information in the dedicated signaling can override the information provided in the system message. The system message can be MIB, or an existing SIB, or a newly defined SIB.

[0428] In some embodiments, the network AI capability indication indicated by the network side or the selection / reselection priority configured by the network can be associated with a valid time and / or a valid area. The above information is only valid within the valid time and / or the valid range, and the UE can determine the selection / reselection priority for cell selection / reselection based on the above information. The valid time and / or the valid range can be determined by the protocol or configured by the network.

[0429] Optionally, the terminal receives the network AI capability indication information and the frequency point / cell priority supporting each AI capability provided in the dedicated signaling, and determines the cell selection / reselection priority based on the network AI capability indication information combined with its own requirements. The network AI capability indication information can be associated with a timer duration and / or a usable range. When the timer expires or the UE is located within the usable range, the terminal can determine the cell selection / reselection priority based on the network AI capability indication information provided in the dedicated signaling. Otherwise, the network AI capability indication information provided in the dedicated signaling is invalid, and the terminal can determine the cell selection / reselection priority based on other information provided in the dedicated signaling or configuration information provided in the system message for cell selection / reselection. The timer duration and / or the usable range can be bound to the available time and the available range of the network AI capability.

[0430] In some embodiments, determining the priority of cell selection / reselection further comprises determining the selection / reselection priority of the frequency according to the network AI capability of the highest-ranked cell or the best cell on the frequency.

[0431] Optionally, the UE determines the priority of cell selection / reselection according to the network AI capability of the frequency indicated by the network, and performs selection / reselection measurement, cell selection / reselection evaluation and cell selection / reselection ranking based on the priority of cell selection / reselection, determines the highest-ranked cell or the best cell on the frequency, determines the network AI capability of the cell according to the network configuration, and if the network AI capability of the cell is different from the frequency, determines the selection / reselection priority of the frequency according to the network AI capability of the cell.

[0432] Optionally, if the cell does not support the network AI capability expected by other UEs, it is considered that the frequency does not support the network AI capability expected by the UE, and it is considered as a low-priority frequency. If the cell also supports the network AI capability expected by other UEs, the selection / reselection priority of the frequency is determined based on the network AI capability supported by the cell.

[0433] Optionally, if the cell is a suitable cell, the UE selects / reselects to the cell and updates the selection / reselection priority of the frequency. Optionally, the UE does not select / reselect to the cell, updates the selection / reselection priority of the frequency, and continues to search for other frequency cell camping.

[0434] In some embodiments, for a terminal supporting cell selection / reselection based on network AI capability, the UE optionally reports the capability indication to the network side, indicating that the UE has the above-mentioned capability, which can be used by the network side to determine to provide the terminal with corresponding network configuration for performing the cell selection / reselection process.

[0435] According to the scheme provided by the embodiments of the present disclosure, the AI demand information can also be sent by the connected-state UE to the network node, the AI demand information being used to indicate the network AI capability demand of the UE, and the AI demand information being used to assist the network node in providing the frequency / cell information capable of supporting the network AI capability demand of the UE to the UE when releasing the UE to the idle state or the inactive state, for the UE to perform cell selection / reselection.

[0436] Optionally, the network node can be a CN node (such as an AMF), the UE can send the AI requirement information to the AMF in a registration request or other NAS message, the AMF determines the RFSP index based on the AI requirement information, and provides it to the NG-RAN, the NG-RAN generates the frequency priority or provides the frequency point information based on the RFSP index combined with the locally defined configuration mapping, the provided frequency point can support the UE's network AI capability requirement, and provides it to the UE through the RRCRelease message for the UE to perform cell selection / reselection.

[0437] Optionally, the network node can be a NG-RAN, the UE can send the AI requirement information to the NG-RAN in a connection establishment request or other AS message, the NG-RAN generates the frequency priority or provides the frequency point information based on the AI requirement information, the provided frequency point can support the UE's network AI capability requirement, and provides it to the UE through the RRCRelease message for the UE to perform cell selection / reselection.

[0438] In some embodiments, the AI requirement information is used to indicate at least one of the following:

[0439] (1) whether the terminal requires the network to be able to support AI functions;

[0440] (2) the terminal requires the network to be able to provide specific AI services, including but not limited to at least one of AI data, AI model, AI training, and AI verification;

[0441] (3) the terminal requires the network to be able to provide specific AI resources, including but not limited to at least one of computing power, algorithm, data, and connection;

[0442] (4) the terminal requires the network to be able to provide specific AI use cases, including at least one of AI-based positioning and AI-based beam management;

[0443] (5) the terminal requires the network to be able to provide AI capability exposure modes, including UE exposing AI to NW, NW exposing AI capability to UE, and UEs exposing AI capability to each other (based on NW control). AI capability includes at least one of AI resources, AI services, or AI use cases that can be provided.

[0444] In some embodiments, the AI capability can be AI capability provided directly by the current frequency point / cell for the UE, and can also include AI capability provided by other nodes (such as UE, CN, gNB) for the UE, so when providing network AI capability, the capability providing method needs to be indicated so that the terminal can determine the actual network AI capability that meets the requirement according to its privacy policy.

[0445] For example, the network side can indicate whether AI computing power is supported and the support method. The support method (1) can provide computing power for the current cell that is only provided directly to the UE, (2) can provide computing power for the current cell that is only provided by requesting other nodes (such as UE, CN, gNB) to provide computing power for the UE, and (3) can provide computing power for the current cell that is provided directly to the UE and by requesting other nodes (such as UE, CN, gNB) to provide computing power for the UE. The terminal can select according to prinvacy. For example, for UEs with high prinvacy requirements, they can only select the cell based on the directly provided computing power.

[0446] For example, the network side can indicate the supported AI services and support methods. AI services can be AI model inference, AI model training, AI verification, etc. Support methods (1) can only include the AI ​​services provided directly to the UE for the current cell, (2) can only include the AI ​​services provided to the UE by requesting other nodes (such as UE, CN, gNB) to provide services for the UE for the current cell, and (3) can also include the AI ​​services provided directly to the UE and the services provided by requesting other nodes (such as UE, CN, gNB) to provide services for the UE for the current cell. The terminal can select according to privacy. For example, for UEs with high privacy requirements, they can only select the cell based on the directly provided AI services.

[0447] In some embodiments, the terminal performs selection / reselection based on selection / reselection priority. If the highest-ranked cell on the frequency point does not support the UE's expected AI capabilities, a selection / reselection restriction is implemented. Furthermore, under certain conditions, the selection / reselection restriction is lifted.

[0448] In some embodiments, the implementation of selection / reselection restrictions includes at least one of the following:

[0449] (1) Stop the selection / reselection of the cell, that is, do not use the cell as a candidate cell for selection / reselection;

[0450] (2) Stop the selection / reselection of this cell and all cells in the same frequency, that is, stop the selection / reselection of all cells on the frequency point and do not use all cells on the frequency point as candidate cells for selection / reselection;

[0451] (3) Lower the priority of the cell;

[0452] (4) Lower the priority of the frequency point to which the cell belongs.

[0453] In some embodiments, the selection / reselection restriction is valid for a period of time or a number of cell selection / reselections. The time and the number of selection / reselections can be provided by a serving cell system message or dedicated signaling, or can be specified by a protocol (e.g., the target cell (and all cells in the same frequency) is not a candidate for 300s).

[0454] In some embodiments, the selection / reselection restriction is released when a certain condition is met, which can be at least one of the following:

[0455] (1) Network side state changes:

[0456] a. System message is updated (network AI capability is updated);

[0457] b. The base station indicates the release of the restriction through a system message or dedicated signaling;

[0458] c. The highest ranked cell changes (legacy mechanism for barred cell);

[0459] d. In NR, the network controls the UE to redirect to a certain frequency, and the restriction is released.

[0460] (2) UE side requirements or state changes:

[0461] a. The terminal falls back to the legacy cell selection / reselection procedure, i.e., does not perform cell selection / reselection based on AI capability;

[0462] b. The expected AI capability of the terminal changes;

[0463] c. The terminal enters an arbitrary cell selection state;

[0464] d. The terminal AS layer receives indication information from the terminal NAS layer to determine that the selection / reselection restriction is released;

[0465] e. The PLMN changes (another PLMN is selected).

[0466] FIG. 3A is a flow diagram of an information processing method according to an embodiment of the present disclosure. As shown in FIG. 3A, the present disclosure relates to an information processing method, and the method comprises:

[0467] Step S3101: transmitting capability information.

[0468] The optional implementation of step S3101 can refer to the optional implementation of step S2101 in FIG. 2A and other associated parts in the embodiments related to FIG. 2A, which will not be described here.

[0469] In some embodiments, the terminal sends the capability information to the network device, but is not limited thereto, and can send the capability information to other subjects.

[0470] In some embodiments, the capability information is used to indicate that the terminal supports cell selection or cell reselection according to AI needs of the terminal.

[0471] Step S3102: Obtain configuration information.

[0472] The optional implementation of step S3102 can refer to the optional implementation of step S2102 in FIG. 2A and other associated parts in the embodiments involved in FIG. 2A, which will not be described here.

[0473] In some embodiments, the terminal receives the configuration information sent by the network device, but is not limited thereto, and can receive the configuration information sent by other subjects.

[0474] In some embodiments, the terminal obtains the configuration information specified by a protocol.

[0475] In some embodiments, the terminal obtains the configuration information from upper layer(s).

[0476] In some embodiments, the terminal performs processing to obtain the first information.

[0477] In some embodiments, step S3102 is omitted, and the terminal autonomously implements the function indicated by the configuration information, or the above function is default or default.

[0478] In some embodiments, the configuration information includes at least one of the following: first configuration information including frequency point information and / or frequency point priority information; second configuration information including cell information and / or cell priority information; third configuration information used to indicate at least one of AI capability information and AI capability priority information associated with a frequency point, and / or third configuration information used to indicate at least one of AI capability information and AI capability priority information associated with a cell.

[0479] In some embodiments, the third configuration information is used to indicate at least one of the following: whether the frequency point and / or the cell can support the AI function; the AI service type that the frequency point and / or the cell can provide; the AI resource type that the frequency point and / or the cell can provide; the AI use case type that the frequency point and / or the cell can provide; and the AI capability exposure mode that the frequency point and / or the cell can provide.

[0480] Step S3103: Perform cell selection or cell reselection based on the configuration information and AI need information of the terminal.

[0481] The optional implementation of step S3103 can refer to the optional implementation of step S2103 in FIG. 2A and other associated parts in the embodiments related to FIG. 2A, which will not be repeated here.

[0482] The information processing method related to the embodiments of the present disclosure can include at least one of steps S3101-S3103. For example, step S3102 can be implemented as an independent embodiment, step S3103 can be implemented as an independent embodiment, steps S3101+S3102 can be implemented as an independent embodiment, steps S3101+S3103 can be implemented as an independent embodiment, steps S3102+S3103 can be implemented as an independent embodiment, but the present disclosure is not limited thereto.

[0483] In some embodiments, steps S3101 and S3102 are optional, and one or more of the steps can be omitted or replaced in different embodiments.

[0484] In some embodiments, steps S3101 and S3103 are optional, and one or more of the steps can be omitted or replaced in different embodiments.

[0485] FIG. 3B is a flow diagram of an information processing method according to an embodiment of the present disclosure. As shown in FIG. 3B, the embodiments of the present disclosure relate to an information processing method, and the method includes:

[0486] Step S3201: Obtain capability information.

[0487] The optional implementation of step S3201 can refer to the optional implementation of step S2101 in FIG. 2A and other associated parts in the embodiments related to FIG. 2A, which will not be repeated here.

[0488] In some embodiments, the network device receives the capability information sent by the terminal, but the present disclosure is not limited thereto, and the network device can also receive the capability information sent by other subjects.

[0489] In some embodiments, the network device obtains the capability information specified by a protocol.

[0490] In some embodiments, the network device obtains the capability information from an upper layer.

[0491] In some embodiments, the network device processes to obtain the first information.

[0492] In some embodiments, step S3201 is omitted, and the network device autonomously implements the function indicated by the capability information, or the function is default or default.

[0493] In some embodiments, the capability information is used to indicate that the terminal supports cell selection or cell reselection according to AI needs of the terminal.

[0494] In step S3202, the configuration information is sent.

[0495] The optional implementation of step S3202 can refer to the optional implementation of step S2102 in FIG. 2A and other associated parts in the embodiments involved in FIG. 2A, which will not be repeated here.

[0496] In some embodiments, the network device sends the configuration information to the terminal, but is not limited thereto, and can also send the configuration information to other subjects.

[0497] In some embodiments, the configuration information includes at least one of the following: first configuration information, the first configuration information including frequency point information and / or frequency point priority information; second configuration information, the second configuration information including cell information and / or cell priority information; third configuration information, the third configuration information being used to indicate at least one of AI capability information and AI capability priority information associated with a frequency point, and / or the third configuration information being used to indicate at least one of AI capability information and AI capability priority information associated with a cell.

[0498] In some embodiments, the third configuration information is used to indicate at least one of the following: whether the frequency point and / or the cell can support AI functions; AI service types that can be provided by the frequency point and / or the cell; AI resource types that can be provided by the frequency point and / or the cell; AI use case types that can be provided by the frequency point and / or the cell; and AI capability exposure modes that can be provided by the frequency point and / or the cell.

[0499] In some embodiments, the configuration information is used for the terminal to perform cell selection or cell reselection based on the configuration information and AI need information of the terminal.

[0500] The information processing method involved in the embodiments of the present disclosure can include at least one of steps S3201-S3202. For example, step S3202 can be implemented as an independent embodiment, and steps S3201+S3202 can be implemented as an independent embodiment, but are not limited thereto.

[0501] In some embodiments, step S3201 is optional and can be omitted or replaced in different embodiments.

[0502] In the embodiments of the present disclosure, step S3201 can be combined with step S3101 in FIG. 3A, and step S3202 can be combined with step S3102 in FIG. 3A.

[0503] FIG. 4A is a flowchart of an information processing method according to an embodiment of the present disclosure. As shown in FIG. 4A, the present disclosure relates to an information processing method, and the method comprises:

[0504] In step S4101, capability information is sent.

[0505] The optional implementation of step S4101 can refer to the optional implementation of step S2201 in FIG. 2B and other associated parts in the embodiments related to FIG. 2B, which will not be repeated here.

[0506] In some embodiments, the terminal sends the capability information to the network device, but is not limited thereto, and can also send the capability information to other subjects.

[0507] In some embodiments, the capability information is used to indicate that the terminal supports cell selection or cell reselection according to the AI demand of the terminal.

[0508] In step S4102, AI demand information is sent.

[0509] The optional implementation of step S4102 can refer to the optional implementation of step S2202 in FIG. 2B and other associated parts in the embodiments related to FIG. 2B, which will not be repeated here.

[0510] In some embodiments, the terminal sends the AI demand information to the network device, but is not limited thereto, and can also send the AI demand information to other subjects.

[0511] In some embodiments, the AI demand information is used to indicate at least one of the following: whether the terminal requires the network device to be able to support AI functions; the AI service type that the terminal requires the network device to support; the AI resource type that the terminal requires the network device to support; the AI use case type that the terminal requires the network device to support; and the AI capability exposure mode that the terminal requires the network device to support.

[0512] In step S4103, configuration information is obtained.

[0513] The optional implementation of step S4103 can refer to the optional implementation of step S2203 in FIG. 2B and other associated parts in the embodiments related to FIG. 2B, which will not be repeated here.

[0514] In some embodiments, the terminal receives the configuration information sent by the network device, but is not limited thereto, and can also receive the configuration information sent by other subjects.

[0515] In some embodiments, the terminal obtains the configuration information specified by a protocol.

[0516] In some embodiments, the terminal obtains the configuration information from an upper layer.

[0517] In some embodiments, the terminal performs processing to obtain the first information.

[0518] In some embodiments, step S4103 is omitted, and the terminal autonomously implements the function indicated by the configuration information, or the above function is default or default.

[0519] In some embodiments, the configuration information includes at least one of: first configuration information including frequency point information and / or frequency point priority information; second configuration information including cell information and / or cell priority information; third configuration information for indicating at least one of AI capability information and AI capability priority information associated with a frequency point, and / or third configuration information for indicating at least one of AI capability information and AI capability priority information associated with a cell.

[0520] In some embodiments, the third configuration information is used to indicate at least one of: whether the frequency point and / or the cell can support the AI function; the AI service type that the frequency point and / or the cell can provide; the AI resource type that the frequency point and / or the cell can provide; the AI use case type that the frequency point and / or the cell can provide; and the AI capability exposure mode that the frequency point and / or the cell can provide.

[0521] Step S4104: performing cell selection or cell reselection based on the configuration information and AI demand information of the terminal.

[0522] The optional implementation of step S4104 can refer to the optional implementation of step S2204 in FIG. 2B and other associated parts in the embodiments involved in FIG. 2B, which will not be described here.

[0523] The information processing method related to the embodiments of the present disclosure can include at least one of steps S4101-S4104. For example, step S4102 can be implemented as an independent embodiment, step S4103 can be implemented as an independent embodiment, step S4104 can be implemented as an independent embodiment, steps S4101+S4102 can be implemented as an independent embodiment, steps S4101+S4103 can be implemented as an independent embodiment, steps S4101+S4104 can be implemented as an independent embodiment, steps S4102+S4103 can be implemented as an independent embodiment, steps S4102+S4104 can be implemented as an independent embodiment, steps S4103+S4104 can be implemented as an independent embodiment, steps S4101+S4102+S4103 can be implemented as an independent embodiment, steps S4101+S4102+S4104 can be implemented as an independent embodiment, steps S4101+S4103+S4104 can be implemented as an independent embodiment, steps S4102+S4103+S4104 can be implemented as an independent embodiment, but the present disclosure is not limited thereto.

[0524] In some embodiments, steps S4101 and S4102 can be exchanged in order or performed simultaneously.

[0525] In some embodiments, steps S4101, S4102, and S4103 are optional, and one or more of the steps can be omitted or replaced in different embodiments.

[0526] In some embodiments, steps S4101, S4102, and S4104 are optional, and one or more of the steps can be omitted or replaced in different embodiments.

[0527] In some embodiments, steps S4101, S4103, and S4104 are optional, and one or more of the steps can be omitted or replaced in different embodiments.

[0528] FIG. 4B is a flow diagram of an information processing method according to an embodiment of the present disclosure. As shown in FIG. 4B, the embodiments of the present disclosure relate to an information processing method, and the method includes:

[0529] Step S4201: acquiring capability information.

[0530] The optional implementation of step S4201 can refer to the optional implementation of step S2201 in FIG. 2B and other associated parts in the embodiments related to FIG. 2B, which will not be described here.

[0531] In some embodiments, the network device receives the capability information sent by the terminal, but is not limited thereto, and can also receive the capability information sent by other subjects.

[0532] In some embodiments, the network device obtains the capability information specified by a protocol.

[0533] In some embodiments, the network device obtains the capability information from upper layer(s).

[0534] In some embodiments, the network device processes to obtain the capability information.

[0535] In some embodiments, step S4201 is omitted, and the network device autonomously implements the function indicated by the capability information, or the above function is default or default.

[0536] In some embodiments, the capability information is used to indicate that the terminal supports cell selection or cell reselection according to AI needs of the terminal.

[0537] Step S4202, obtaining AI demand information.

[0538] The optional implementation of step S4202 can refer to the optional implementation of step S2202 in FIG. 2B and other associated parts in the embodiments involved in FIG. 2B, which will not be described here.

[0539] In some embodiments, the network device receives the AI demand information sent by the terminal, but is not limited thereto, and can also receive the AI demand information sent by other subjects.

[0540] In some embodiments, the network device obtains the AI demand information specified by a protocol.

[0541] In some embodiments, the network device obtains the AI demand information from upper layer(s).

[0542] In some embodiments, the network device processes to obtain the AI demand information.

[0543] In some embodiments, step S4202 is omitted, and the network device autonomously implements the function indicated by the AI demand information, or the above function is default or default.

[0544] In some embodiments, the AI demand information is used to indicate at least one of the following: whether the terminal requires the network device to be able to support AI functions; AI service types that the terminal requires the network device to support; AI resource types that the terminal requires the network device to support; AI use case types that the terminal requires the network device to support; and AI capability exposure modes that the terminal requires the network device to support.

[0545] Step S4203: sending the configuration information.

[0546] The optional implementation of step S4203 can refer to the optional implementation of step S2203 in FIG.2B and other associated parts in the embodiments related to FIG.2B, which will not be repeated here.

[0547] In some embodiments, the network device sends the configuration information to the terminal, but is not limited thereto, and can send the configuration information to other subjects.

[0548] In some embodiments, the configuration information comprises at least one of: first configuration information comprising frequency point information and / or frequency point priority information; second configuration information comprising cell information and / or cell priority information; third configuration information used for indicating at least one of AI capability information and AI capability priority information associated with a frequency point, and / or, third configuration information used for indicating at least one of AI capability information and AI capability priority information associated with a cell.

[0549] In some embodiments, the third configuration information is used for indicating at least one of: whether the frequency point and / or the cell can support AI function; AI service type that the frequency point and / or the cell can provide; AI resource type that the frequency point and / or the cell can provide; AI use case type that the frequency point and / or the cell can provide; and AI capability exposure mode that the frequency point and / or the cell can provide.

[0550] In some embodiments, the configuration information is used for the terminal to perform cell selection or cell reselection based on the configuration information and AI demand information of the terminal.

[0551] The information processing method related to the embodiments of the present disclosure can comprise at least one of steps S4201-S4203. For example, step S4202 can be implemented as an independent embodiment, step S4203 can be implemented as an independent embodiment, steps S4201+S4202 can be implemented as an independent embodiment, steps S4201+S4203 can be implemented as an independent embodiment, steps S4202+S4203 can be implemented as an independent embodiment, but are not limited thereto.

[0552] In some embodiments, the order of steps S4201 and S4202 can be exchanged or performed simultaneously.

[0553] In some embodiments, steps S4201 and S4202 are optional, and one or more of these steps can be omitted or replaced in different embodiments.

[0554] In some embodiments, steps S4201 and S4203 are optional, and one or more of these steps can be omitted or replaced in different embodiments.

[0555] In the embodiments of the present disclosure, step S4201 can be combined with step S4101 of FIG. 4A, step S4202 can be combined with step S4102 of FIG. 4A, and step S4203 can be combined with step S4103 of FIG. 4A.

[0556] FIG. 5A is a flow diagram of a method of processing information, according to an embodiment of the present disclosure. As shown in FIG. 5A, the embodiments of the present disclosure relate to a method of processing information, and the method comprises:

[0557] In step S5101, cell selection or cell reselection is performed according to AI requirement information of a terminal.

[0558] The optional implementation of step S5101 can refer to the optional implementation of steps S2101, S2102 and S2103 of FIG. 2A, the optional implementation of steps S2201, S2202, S2203 and S2204 of FIG. 2B, the optional implementation of steps S3101, S3102 and S3103 of FIG. 3A, the optional implementation of steps S4101, S4102, S4103 and S4104 of FIG. 4A, and other associated parts in the embodiments related to FIG. 2A, FIG. 2B, FIG. 3A and FIG. 4A, which are not described herein again.

[0559] In some embodiments, the terminal can receive configuration information sent by the network device, and perform cell selection or cell reselection based on the configuration information and the AI requirement information of the terminal.

[0560] In some embodiments, the terminal can receive a first message sent by the network device, and the configuration information is included in the first message; wherein the first message is a system message and / or dedicated signaling.

[0561] In some embodiments, the terminal can send the AI requirement information to the network device, and the AI requirement information is used by the network device to provide the configuration information for the terminal.

[0562] In some embodiments, the terminal is in a connected state, and the terminal can send the AI requirement information to the network device; wherein the AI requirement information is used by the network device to provide the configuration information for the terminal when the terminal is released to an idle state or an inactive state.

[0563] In some embodiments, the terminal can send a second message to the network device, the second message including the AI requirement information; wherein the second message is a non-access stratum (NAS) message and / or an access stratum (AS) message.

[0564] In some embodiments, the configuration information is provided by the network device based on the AI requirement information, and the terminal can receive a radio resource control (RRC) message sent by the network device, the RRC message including the configuration information.

[0565] In some embodiments, the configuration information includes at least one of the following: first configuration information including frequency point information and / or frequency point priority information; second configuration information including cell information and / or cell priority information; third configuration information for indicating at least one of AI capability information and AI capability priority information associated with a frequency point, and / or the third configuration information for indicating at least one of AI capability information and AI capability priority information associated with a cell.

[0566] In some embodiments, the third configuration information is used to indicate at least one of the following: whether the frequency point and / or the cell can support AI functions; AI service types that the frequency point and / or the cell can provide; AI resource types that the frequency point and / or the cell can provide; AI use case types that the frequency point and / or the cell can provide; and AI capability exposure modes that the frequency point and / or the cell can provide.

[0567] In some embodiments, the AI requirement information is used to indicate at least one of the following: whether the terminal requires the network device to support AI functions; AI service types that the terminal requires the network device to support; AI resource types that the terminal requires the network device to support; AI use case types that the terminal requires the network device to support; and AI capability exposure modes that the terminal requires the network device to support.

[0568] In some embodiments, the AI service type includes at least one of AI data service, AI model inference service, AI training service, and AI verification service.

[0569] In some embodiments, the AI resource type includes at least one of AI computing power resource, AI algorithm resource, AI data resource, and AI connection resource.

[0570] In some embodiments, the AI use case type includes at least one of AI positioning-based use case and AI beam management-based use case.

[0571] In some embodiments, the AI capability opening mode includes at least one of the following: the terminal opens AI capability to the network device, the network device opens AI capability to the terminal, and terminals open AI capability to each other.

[0572] In some embodiments, the configuration information is associated with a valid time and / or a valid area; the valid time is agreed by a protocol or configured by the network device for the terminal; and the valid area is agreed by a protocol or configured by the network device for the terminal.

[0573] In some embodiments, the terminal can receive indication information sent by the network device, the indication information being used to indicate a capability providing mode of the network device.

[0574] The capability providing mode of the network device includes at least one of the following: providing AI capability to the terminal through a current frequency point and / or cell, and requesting other frequency points and / or cells to provide AI capability to the terminal.

[0575] In some embodiments, the terminal can perform cell selection or cell reselection according to the configuration information, the AI demand information, and the indication information.

[0576] In some embodiments, the terminal can determine the priority of a cell and / or a frequency point according to AI demand information of the terminal.

[0577] In some embodiments, the terminal can determine that the priority of a frequency point / cell supporting AI capability demand of the terminal is higher than the priority of a frequency point / cell not supporting AI capability demand of the terminal.

[0578] In some embodiments, there are multiple frequency points and / or cells supporting AI capability demand of the terminal, and the priority of the multiple frequency points and / or cells supporting AI demand capability of the terminal is determined based on terminal implementation or first priority information; there are multiple frequency points and / or cells not supporting AI capability demand of the terminal, and the priority of the multiple frequency points and / or cells not supporting AI capability demand of the terminal is determined based on terminal implementation or first priority information. The first priority information is absolute priority information of a frequency point and / or a cell, or the first priority information is priority information of AI capability demand.

[0579] In some embodiments, the AI capability demand indicated by the AI demand information is multiple, and the priority of a frequency point and / or a cell supporting a larger number of AI capability demands is higher than the priority of a frequency point and / or a cell supporting a smaller number of AI capability demands.

[0580] In some embodiments, there are multiple frequency points and / or multiple cells supporting the same number of AI capability requirements, and the terminal implements or second priority information to determine the priority of the multiple frequency points and / or multiple cells supporting the same number of AI capability requirements. The second priority information is absolute priority information of the frequency points and / or cells.

[0581] In some embodiments, for any frequency point, the terminal can determine the priority of the frequency point based on the AI capability of a first cell on the frequency point; wherein the first cell is the highest ranked cell on the frequency point, or the first cell is the best cell on the frequency point.

[0582] In some embodiments, for any frequency point, if a first cell on the frequency point does not support the AI capability requirement of the terminal, the terminal can perform a selection or reselection restriction operation; wherein the first cell is the highest ranked cell on the frequency point, or the first cell is the best cell on the frequency point.

[0583] In some embodiments, the execution of the selection or reselection restriction operation includes at least one of the following: stopping the selection or reselection of the first cell; stopping the selection or reselection of the first cell and a second cell, the second cell being a cell on the same frequency as the first cell; reducing the priority of the first cell; reducing the priority of the frequency point to which the first cell belongs.

[0584] In some embodiments, the execution of the selection or reselection restriction operation includes: performing the selection or reselection restriction operation within a first time; and performing the selection or reselection restriction operation if the number of times of performing cell selection or reselection does not reach a first number of times.

[0585] In some embodiments, the first time is agreed by a protocol or configured by the network device for the terminal; and the first number of times is agreed by a protocol or configured by the network device for the terminal.

[0586] In some embodiments, the selection or reselection restriction operation can be released if a first condition is met. The first condition includes at least one of the following: a change in the network state of the network device, a change in the network state of the terminal, and a change in the AI capability requirement of the terminal.

[0587] In some embodiments, the change in the network state of the network device includes at least one of the following: an update of the AI capability of the network device; an indication of the network device to release the selection or reselection restriction operation; a change in the first cell; and a control of the network device to redirect the terminal to a first frequency point.

[0588] In some embodiments, the change of the network status of the terminal comprises at least one of the following: the terminal no longer performs cell selection or reselection based on the AI capability of the network device; the terminal enters an arbitrary cell selection state; the terminal receives an indication about a de-selection or reselection restriction operation; and a public land mobile network (PLMN) accessed by the terminal changes.

[0589] In some embodiments, the terminal can send capability information to the network device, where the capability information is used to indicate that the terminal supports cell selection or cell reselection according to AI requirements of the terminal.

[0590] The information processing method disclosed in the embodiments of the present disclosure can at least include step S5101, and step S5101 can be implemented as an independent embodiment, but is not limited thereto.

[0591] FIG. 5B is a flow diagram of an information processing method according to an embodiment of the present disclosure. As shown in FIG. 5B, the embodiments of the present disclosure relate to an information processing method, and the method comprises:

[0592] Step S5201: sending configuration information.

[0593] The optional implementation of step S5201 can refer to the optional implementation of step S2101, step S2102 in FIG. 2A, step S2201, step S2202, step S2203 in FIG. 2B, step S3201, step S3202 in FIG. 3B, step S4201, step S4202, step S4203 in FIG. 4B, and other associated parts in the embodiments related to FIG. 2A, FIG. 2B, FIG. 3B, and FIG. 4B, which are not described herein.

[0594] In some embodiments, the network device sends configuration information to the terminal.

[0595] In some embodiments, the configuration information is used by the terminal to perform cell selection or cell reselection based on the configuration information and AI requirement information of the terminal.

[0596] In some embodiments, the network device sends a first message to the terminal, and the configuration information is included in the first message; and the first message is a system message and / or dedicated signaling.

[0597] In some embodiments, the network device receives the AI requirement information sent by the terminal, and sends the configuration information to the terminal based on the AI requirement information.

[0598] In some embodiments, the network device receives a second message sent by the network device, and the second message includes the AI requirement information; wherein the second message is a NAS message and / or an AS message.

[0599] In some embodiments, the AI requirement information is sent by the terminal in a connected state, and the network device can send the configuration information to the terminal when releasing the terminal to an idle state or an inactive state.

[0600] In some embodiments, the network device sends an RRC message to the terminal, and the RRC message includes the configuration information.

[0601] In some embodiments, the AI requirement information is used to indicate at least one of the following: whether the terminal requires the network device to support an AI function; an AI service type required by the terminal for the network device to support; an AI resource type required by the terminal for the network device to support; an AI use case type required by the terminal for the network device to support; and an AI capability exposure mode required by the terminal for the network device to support.

[0602] In some embodiments, the configuration information includes at least one of the following: first configuration information including frequency point information and / or frequency point priority information; second configuration information including cell information and / or cell priority information; and third configuration information used to indicate at least one of AI capability information and AI capability priority information associated with a frequency point, and / or AI capability information and AI capability priority information associated with a cell.

[0603] In some embodiments, the third configuration information is used to indicate at least one of the following: whether a frequency point and / or a cell can support an AI function; an AI service type that a frequency point and / or a cell can provide; an AI resource type that a frequency point and / or a cell can provide; an AI use case type that a frequency point and / or a cell can provide; and an AI capability exposure mode that a frequency point and / or a cell can provide.

[0604] In some embodiments, the AI service type includes at least one of the following: AI data service, AI model inference service, AI training service, and AI verification service.

[0605] In some embodiments, the AI resource type includes at least one of the following: AI computing power resource, AI algorithm resource, AI data resource, and AI connection resource.

[0606] In some embodiments, the AI use case type includes at least one of the following: AI positioning-based use case and AI beam management-based use case.

[0607] In some embodiments, the AI capability exposure mode includes at least one of the following: the terminal exposing AI capability to the network device, the network device exposing AI capability to the terminal, and terminals exposing AI capability to each other.

[0608] In some embodiments, the configuration information is associated with a valid time and / or a valid area; wherein the valid time and / or the valid area are agreed upon by a protocol, or the valid time and / or the valid area are determined by the network device and configured to the terminal.

[0609] In some embodiments, the network device sends indication information to the terminal, the indication information being used to indicate the capability providing mode of the network device, and the indication information being used by the terminal to perform cell selection or cell reselection.

[0610] In some embodiments, the capability providing mode of the network device includes any one of the following: providing AI capability to the terminal through a current frequency point and / or cell; and requesting other frequency points and / or cells to provide AI capability to the terminal.

[0611] In some embodiments, for any frequency point, the priority of the frequency point is determined based on the network AI capability of a first cell on the frequency point; wherein the first cell is the highest ranked cell on the frequency point, or the first cell is the best cell on the frequency point.

[0612] In some embodiments, the network device receives capability information sent by the terminal, the capability information being used to indicate that the terminal supports cell selection or cell reselection according to AI needs of the terminal.

[0613] The information processing method according to the embodiments of the present disclosure can at least include step S5201, and step S5201 can be implemented as an independent embodiment, but is not limited thereto.

[0614] In the embodiments of the present disclosure, part or all of the steps and their optional implementation manners can be combined with part or all of the steps in other embodiments, or can be combined with optional implementation manners of other embodiments.

[0615] The embodiments of the present disclosure also propose an apparatus for implementing any of the above methods, for example, an apparatus including units or modules for implementing each step performed by the terminal in any of the above methods. For another example, another apparatus is proposed, including units or modules for implementing each step performed by the network device (such as an access network device, a core network function node, a core network device, etc.) in any of the above methods.

[0616] It should be understood that the division of each unit or module in the above apparatus is only a logical function division, and all or part of them can be integrated into a physical entity or physically separated in actual implementation. In addition, the units or modules in the apparatus can be implemented in the form of processor calling software: for example, the apparatus includes a processor connected with a memory, the memory stores instructions, and the processor calls the instructions stored in the memory to implement any of the above methods or realize the functions of each unit or module of the above apparatus, wherein the processor is, for example, a general processor such as a central processing unit (CPU) or a microprocessor, and the memory is a memory in the apparatus or a memory outside the apparatus. Alternatively, the units or modules in the apparatus can be implemented in the form of hardware circuit, and the functions of part or all of the units or modules can be realized by the design of hardware circuit. The above hardware circuit can be understood as one or more processors; for example, in one implementation, the above hardware circuit is an application-specific integrated circuit (ASIC), and the functions of part or all of the above units or modules are realized by the design of the logical relationship of elements in the circuit; for example, in another implementation, the above hardware circuit is a programmable logic device (PLD), and a field programmable gate array (FPGA) is taken as an example, which can include a large number of logic gate circuits, and the connection relationship between the logic gate circuits is configured by a configuration file, so as to realize the functions of part or all of the above units or modules. All units or modules of the above apparatus can be implemented in the form of processor calling software, or all units or modules can be implemented in the form of hardware circuit, or part of the units or modules are implemented in the form of processor calling software, and the remaining part is implemented in the form of hardware circuit.

[0617] In embodiments of the present disclosure, the processor is a circuit with signal processing capability. In one implementation, the processor can be a circuit with instruction reading and running capability, such as a central processing unit (CPU), a microprocessor, a graphics processing unit (GPU) (which can be understood as a microprocessor), a digital signal processor (DSP), and the like. In another implementation, the processor can implement certain functions through a logical relationship of hardware circuits, and the logical relationship of the hardware circuits is fixed or reconfigurable. For example, the processor is a hardware circuit implemented by an application-specific integrated circuit (ASIC) or a programmable logic device (PLD), such as an FPGA. In a reconfigurable hardware circuit, the processor loads a configuration document to implement the configuration of the hardware circuit. It can be understood that the processor loads instructions to implement the functions of part or all of the units or modules described above. In addition, it can also be a hardware circuit designed for artificial intelligence, which can be understood as an ASIC, such as a neural network processing unit (NPU), a tensor processing unit (TPU), a deep learning processing unit (DPU), and the like.

[0618] FIG. 6A is a structural schematic diagram of a terminal according to an embodiment of the present disclosure. As shown in FIG. 6A, the terminal 6100 can at least include a processing module 6101. In some embodiments, the processing module 6101 is configured to perform cell selection or cell reselection according to artificial intelligence (AI) requirement information of the terminal. Optionally, the processing module 6101 is configured to perform at least one of other steps (for example, steps S2103 and S2204, but not limited thereto) performed by the terminal in any of the above methods, details of which are not described herein again. In some embodiments, the terminal 6100 can further include a transceiver module. Optionally, the transceiver module is configured to perform at least one of the communication steps (for example, steps S2101, S2102, S2201, S2202, and S2203, but not limited thereto) performed by the terminal in any of the above methods, details of which are not described herein again.

[0619] FIG. 6B is a structural schematic diagram of a network device according to an embodiment of the present disclosure. As shown in FIG. 6B, the network device 6200 can at least include a transceiver module 6201. In some embodiments, the transceiver module 6201 is configured to send configuration information to a terminal, where the configuration information is used for the terminal to perform cell selection or cell reselection based on the configuration information and AI requirement information of the terminal. Optionally, the transceiver module 6201 is configured to perform at least one of the communication steps (for example, steps S2101, S2102, S2201, S2202, S2203, but not limited to) of the sending and / or receiving performed by the network device in any of the above methods, details are not described herein. In some embodiments, the network device 6200 can further include a processing module. Optionally, the processing module is configured to perform at least one of the other steps of the network device in any of the above methods, details are not described herein.

[0620] In some embodiments, the transceiver module can include a sending module and / or a receiving module, which can be separate or integrated together. Optionally, the transceiver module can be replaced by a transceiver.

[0621] In some embodiments, the processing module can be one module or include multiple sub-modules. Optionally, the multiple sub-modules perform all or part of the steps required to be performed by the processing module. Optionally, the processing module can be replaced by a processor.

[0622] FIG. 7A is a structural schematic diagram of a communication device 7100 according to an embodiment of the present disclosure. The communication device 7100 can be a network device (for example, an access network device, a core network device, etc.), a terminal (for example, a user equipment, etc.), a chip, a chip system, or a processor supporting the network device to implement any of the above methods, or a chip, a chip system, or a processor supporting the terminal to implement any of the above methods. The communication device 7100 can be used to implement the methods described in the above method embodiments, and details can be referred to the descriptions in the above method embodiments.

[0623] As shown in FIG. 7A, the communication device 7100 includes one or more processors 7101. The processor 7101 can be a general-purpose processor or a special-purpose processor, for example, a baseband processor or a central processing unit. The baseband processor can be used to process communication protocols and communication data, and the central processing unit can be used to control the communication device (for example, a base station, a baseband chip, a terminal device, a terminal device chip, a DU or a CU, etc.), execute programs, and process data of the programs. The communication device 7100 is configured to execute any of the above methods.

[0624] In some embodiments, the communication device 7100 further includes one or more memories 7102 for storing instructions. Optionally, all or part of the memories 7102 can also be outside the communication device 7100.

[0625] In some embodiments, the communication device 7100 further includes one or more transceivers 7103. When the communication device 7100 includes one or more transceivers 7103, the transceiver 7103 performs at least one of the communication steps (for example, steps S2101, S2102, S2201, S2202, S2203, but not limited to) in the above-described methods, and the processor 7101 performs at least one of the other steps (for example, steps S2103, S2204, but not limited to).

[0626] In some embodiments, the transceiver can include a receiver and / or a transmitter, which can be separate or integrated together. Optionally, the terms transceiver, transceiving unit, transceiver, transceiving circuit, etc. can be replaced by each other, the terms transmitter, transmitting unit, transmitter, transmitting circuit, etc. can be replaced by each other, and the terms receiver, receiving unit, receiver, receiving circuit, etc. can be replaced by each other.

[0627] In some embodiments, the communication device 7100 can include one or more interface circuits 7104. Optionally, the interface circuit 7104 is connected with the memory 7102, and the interface circuit 7104 can be used to receive signals from the memory 7102 or other devices, and can be used to send signals to the memory 7102 or other devices. For example, the interface circuit 7104 can read the instructions stored in the memory 7102 and send the instructions to the processor 7101.

[0628] The communication device 7100 described in the above embodiments can be a network device or a terminal, but the scope of the communication device 7100 described in the present disclosure is not limited thereto, and the structure of the communication device 7100 can not be limited by FIG. 7A. The communication device can be a standalone device or can be part of a larger device. For example, the communication device can be: (1) a standalone integrated circuit (IC), or a chip, or a chip system or subsystem; (2) a set of one or more ICs, optionally, the set of ICs can also include storage components for storing data, programs; (3) an ASIC, such as a modem; (4) a module that can be embedded in other devices; (5) a receiver, a terminal device, a smart terminal device, a cellular phone, a wireless device, a handset, a mobile unit, a vehicle-mounted device, a network device, a cloud device, an artificial intelligence device, etc.; (6) others, etc.

[0629] FIG. 7B is a structural schematic diagram of a chip 7200 according to an embodiment of the present disclosure. For the case where the communication device 7100 can be a chip or a chip system, reference can be made to the structural schematic diagram of the chip 7200 shown in FIG. 7B, but the present disclosure is not limited thereto.

[0630] The chip 7200 comprises one or more processors 7201, and the chip 7200 is configured to execute any of the above methods.

[0631] In some embodiments, the chip 7200 further comprises one or more interface circuits 7202. Optionally, the interface circuit 7202 is connected with the memory 7203, and the interface circuit 7202 can be configured to receive signals from the memory 7203 or other devices, and the interface circuit 7202 can be configured to send signals to the memory 7203 or other devices. For example, the interface circuit 7202 can read instructions stored in the memory 7203 and send the instructions to the processor 7201.

[0632] In some embodiments, the interface circuit 7202 performs at least one of the communication steps (such as step S2101, step S2102, step S2201, step S2202, step S2203, but the present disclosure is not limited thereto) in the above methods, and the processor 7201 performs at least one of the other steps (such as step S2103, step S2204, but the present disclosure is not limited thereto).

[0633] In some embodiments, the terms of interface circuit, interface, transceiver pin, transceiver, etc. can be replaced by each other.

[0634] In some embodiments, the chip 7200 further comprises one or more memories 7203 for storing instructions. Optionally, all or part of the memory 7203 can be outside the chip 7200.

[0635] The present disclosure further proposes a storage medium, and the above storage medium stores instructions, and when the above instructions run on the communication device 7100, the communication device 7100 executes any of the above methods. Optionally, the above storage medium is an electronic storage medium. Optionally, the above storage medium is a computer readable storage medium, but the present disclosure is not limited thereto, and it can also be a storage medium readable by other devices. Optionally, the above storage medium can be a non-transitory storage medium, but the present disclosure is not limited thereto, and it can also be a transitory storage medium.

[0636] The present disclosure also provides a program product comprising a computer program which, when executed by the communication device 7100, causes the communication device 7100 to perform any of the above methods. Alternatively, the present disclosure also provides a program product which, when executed by or run on the communication device 7100, causes the communication device 7100 to perform any of the above methods. Optionally, the program product is a computer program product.

[0637] The present disclosure also provides a computer program which, when executed on a computer, causes the computer to perform any of the above methods.

[0638] Other embodiments of the present disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the features disclosed herein. The present disclosure is intended to cover any variations, uses or adaptations of the present disclosure following, in general, the principles of the present disclosure and including such features to the extent that they are not disclosed in the prior art. The specification and examples are to be regarded as illustrative only, and the true scope and spirit of the present disclosure are indicated by the following claims.

[0639] It should be understood that the present disclosure is not limited to the precise structures herein described and illustrated in the drawings, and that various modifications and changes can be made without departing from its scope. The scope of the present disclosure is limited only by the claims that follow.

Claims

1. An information processing method characterized by comprising: Applied to a terminal, the method comprises: Performing cell selection or cell reselection according to artificial intelligence (AI) requirement information of the terminal.

2. The method of claim 1, wherein, The performing cell selection or cell reselection according to the AI requirement information of the terminal comprises: Receiving configuration information sent by a network device; Performing cell selection or cell reselection based on the configuration information and the AI requirement information of the terminal.

3. The method of claim 2, wherein, The receiving the configuration information sent by the network device comprises: Receiving a first message sent by the network device, wherein the first message comprises the configuration information; The first message is a system message and / or dedicated signaling.

4. The method according to claim 2 or 3, characterized in that, The method further comprises: Sending the AI requirement information to the network device, wherein the AI requirement information is used by the network device to provide the configuration information for the terminal.

5. The method of claim 4, wherein, The sending the AI requirement information to the network device comprises: When the terminal is in a connected state, sending the AI requirement information to the network device; The AI requirement information used by the network device to provide the configuration information for the terminal comprises: The AI requirement information is used by the network device to provide the configuration information for the terminal when the terminal is released to an idle state or an inactive state.

6. The method according to claim 4 or 5, characterized in that, The sending the AI requirement information to the network device comprises: Sending a second message to the network device, wherein the second message comprises the AI requirement information; The second message is a non-access stratum (NAS) message and / or an access stratum (AS) message.

7. The method according to any one of claims 2 to 6, characterized in that, The configuration information is provided by the network device based on the AI requirement information, and the receiving the configuration information sent by the network device comprises: Receiving a radio resource control (RRC) message sent by the network device, wherein the RRC message comprises the configuration information.

8. The method according to any one of claims 2 to 7, characterized in that, The configuration information comprises at least one of the following: First configuration information, wherein the first configuration information comprises frequency point information and / or frequency point priority information; Second configuration information, wherein the second configuration information comprises cell information and / or cell priority information; Third configuration information, wherein the third configuration information is used to indicate at least one of AI capability information and AI capability priority information associated with a frequency point, and / or the third configuration information is used to indicate at least one of AI capability information and AI capability priority information associated with a cell.

9. The method of claim 8, wherein, The third configuration information is used to indicate at least one of the following: Whether an AI function can be supported by a frequency point and / or a cell; An AI service type that can be provided by a frequency point and / or a cell; An AI resource type that can be provided by a frequency point and / or a cell; An AI use case type that can be provided by a frequency point and / or a cell; An AI capability exposure mode that can be provided by a frequency point and / or a cell.

10. The method according to any one of claims 1 to 9, characterized in that, The AI requirement information is used to indicate at least one of the following: Whether the terminal requires that an AI function can be supported by a network device; An AI service type that is required by the terminal to be supported by the network device; An AI resource type that is required by the terminal to be supported by the network device; An AI use case type that is required by the terminal to be supported by the network device; An AI capability exposure mode that is required by the terminal to be supported by the network device.

11. The method according to claim 9 or 10, characterized in that, The AI service type comprises at least one of the following: AI data service; An AI model inference service; An AI training service; An AI verification service.

12. The method according to any one of claims 9 to 11, characterized in that, The AI resource type includes at least one of: An AI computing resource; An AI algorithm resource; An AI data resource; An AI connection resource.

13. The method according to any one of claims 9 to 12, characterized in that, The AI use case type includes at least one of: An AI positioning-based use case; An AI beam management-based use case.

14. The method according to any one of claims 9 to 13, characterized in that, The AI capability exposure mode includes at least one of: The terminal exposes AI capability to the network device; The network device exposes AI capability to the terminal; The terminal and other terminals expose AI capability to each other.

15. The method according to any one of claims 2 to 14, characterized in that, The configuration information is associated with a valid time and / or a valid area; The valid time is agreed upon by a protocol, or the valid time is configured by the network device for the terminal; the valid area is agreed upon by a protocol, or the valid area is configured by the network device for the terminal.

16. The method according to any one of claims 2 to 15, characterized in that, The method further includes: Receiving indication information sent by the network device, the indication information being used to indicate a capability providing mode of the network device; The capability providing mode of the network device includes any one of: Providing AI capability to the terminal through a current frequency point and / or cell; Requesting other frequency points and / or cells to provide AI capability to the terminal.

17. The method of claim 16, wherein, The cell selection or cell reselection based on the configuration information and AI requirement information of the terminal includes: Performing cell selection or cell reselection according to the configuration information, the AI requirement information, and the indication information.

18. The method of any one of claims 1 to 17, wherein, The cell selection or cell reselection according to AI requirement information of the terminal includes: Determining a priority of a cell and / or a frequency point according to the AI requirement information of the terminal.

19. The method of claim 18, wherein, The determining of the priority of the cell and / or the frequency point according to the AI requirement information of the terminal includes: Determining that a priority of a frequency point / cell supporting AI capability requirement of the terminal is higher than a priority of a frequency point / cell not supporting the AI capability requirement of the terminal.

20. The method of claim 19, wherein, The determining of the priority of the cell and / or the frequency point according to the AI requirement information of the terminal further includes at least one of: When there are multiple frequency points and / or cells supporting the AI capability requirement of the terminal, determining a priority of the multiple frequency points and / or cells supporting the AI requirement capability of the terminal based on terminal implementation or first priority information; When there are multiple frequency points and / or cells not supporting the AI capability requirement of the terminal, determining a priority of the multiple frequency points and / or cells not supporting the AI capability requirement of the terminal based on terminal implementation or first priority information; The first priority information is absolute priority information of a frequency point and / or a cell, or the first priority information is priority information of AI capability requirement.

21. The method of any one of claims 1 to 20, wherein, The AI capability requirement indicated by the AI requirement information is multiple, and the determining of the priority of the cell and / or the frequency point according to the AI requirement information of the terminal includes: A priority of a frequency point and / or a cell supporting a large number of AI capability requirements is higher than a priority of a frequency point and / or a cell supporting a small number of AI capability requirements.

22. The method of claim 21, wherein, The determining of the priority of the cell and / or the frequency point according to the AI requirement information of the terminal further includes: The number of AI capability requirements supported by the plurality of frequency points and / or cells is the same, and a priority of the plurality of frequency points and / or cells supporting the same number of AI capability requirements is determined based on terminal implementation or second priority information. The second priority information is absolute priority information of the frequency points and / or cells.

23. The method of any one of claims 1 to 22, wherein, The method further includes: For any frequency point, a priority of the frequency point is determined based on AI capability of a first cell on the frequency point. The first cell is a highest-ranked cell on the frequency point, or the first cell is a best cell on the frequency point.

24. The method of any one of claims 1 to 23, wherein, The method further includes: For any frequency point, if a first cell on the frequency point does not support AI capability requirements of the terminal, a selection or reselection restriction operation is performed. The first cell is a highest-ranked cell on the frequency point, or the first cell is a best cell on the frequency point.

25. The method of claim 24, wherein, The performing of the selection or reselection restriction operation includes at least one of: Stopping selection or reselection of the first cell; Stopping selection or reselection of the first cell and a second cell, the second cell being a cell on the same frequency as the first cell; Lowering a priority of the first cell; Lowering a priority of a frequency point to which the first cell belongs.

26. The method of claim 24 or 25, wherein, The performing of the selection or reselection restriction operation includes: Performing the selection or reselection restriction operation within a first time; In a case where a number of times of performing cell selection or reselection does not reach a first number of times, performing the selection or reselection restriction operation.

27. The method of claim 26, wherein, The first time is agreed by a protocol or configured by the network device for the terminal. The first number of times is agreed by a protocol or configured by the network device for the terminal.

28. The method of any one of claims 24-27, wherein, The method further includes: In a case where a first condition is met, releasing the selection or reselection restriction operation. The first condition includes at least one of: A network state of the network device changes; A network state of the terminal changes; AI capability requirements of the terminal change.

29. The method of claim 28, wherein, The network state of the network device changes includes at least one of: AI capability of the network device updates; The network device indicates to release the selection or reselection restriction operation; A first cell changes; The network device controls the terminal to be redirected to a first frequency point.

30. The method of claim 28 or 29, wherein, The network state of the terminal changes includes at least one of: The terminal no longer performs cell selection or reselection based on AI capability of the network device; The terminal enters an arbitrary cell selection state; The terminal receives an indication to release the selection or reselection restriction operation; A public land mobile network (PLMN) accessed by the terminal changes.

31. The method of any one of claims 1 to 30, wherein, The method further includes: Sending capability information to the network device, the capability information being used to indicate that the terminal supports performing cell selection or cell reselection according to AI requirements of the terminal.

32. An information processing method characterized by comprising: Applied to a network device, the method includes: Sending configuration information to a terminal, the configuration information being used for the terminal to perform cell selection or cell reselection based on the configuration information and AI requirement information of the terminal.

33. The method of claim 32, wherein, The sending of the configuration information to the terminal includes: sending a first message to the terminal, the first message comprising the configuration information; wherein the first message is a system message and / or dedicated signaling.

34. The method of claim 32 or 33, wherein, The method further comprises: receiving the AI requirement information sent by the terminal, and sending the configuration information to the terminal based on the AI requirement information.

35. The method of claim 34, wherein, The receiving the AI requirement information sent by the terminal comprises: receiving a second message sent by the network device, the second message comprising the AI requirement information; wherein the second message is a NAS message and / or an AS message.

36. The method of claim 34 or 35, wherein, The AI requirement information is sent by the terminal when the terminal is in a connected state, and the sending the configuration information to the terminal comprises: sending the configuration information to the terminal when the terminal is released to an idle state or an inactive state.

37. The method of any one of claims 34-36, wherein, The sending the configuration information to the terminal comprises: sending an RRC message to the terminal, the RRC message comprising the configuration information.

38. The method of any one of claims 34-37, wherein, The AI requirement information is used to indicate at least one of the following: whether the terminal requires the network device to support an AI function; an AI service type that the terminal requires the network device to support; an AI resource type that the terminal requires the network device to support; an AI use case type that the terminal requires the network device to support; and an AI capability exposure mode that the terminal requires the network device to support.

39. The method of any one of claims 32-38, wherein, The configuration information comprises at least one of the following: first configuration information comprising frequency point information and / or frequency point priority information; second configuration information comprising cell information and / or cell priority information; third configuration information used to indicate at least one of AI capability information associated with a frequency point and AI capability priority information associated with the frequency point, and / or AI capability information associated with a cell and AI capability priority information associated with the cell.

40. The method of claim 33, wherein, The third configuration information is used to indicate at least one of the following: whether a frequency point and / or a cell can support an AI function; an AI service type that a frequency point and / or a cell can provide; an AI resource type that a frequency point and / or a cell can provide; an AI use case type that a frequency point and / or a cell can provide; and an AI capability exposure mode that a frequency point and / or a cell can provide.

41. The method of any one of claims 38-40, wherein, The AI service type comprises at least one of the following: AI data service; AI model inference service; AI training service; and AI verification service.

42. The method of any one of claims 38-41, wherein, The AI resource type comprises at least one of the following: AI computing power resource; AI algorithm resource; AI data resource; and AI connection resource.

43. The method of any one of claims 38-42, wherein, The AI use case type comprises at least one of the following: AI positioning-based use case; and AI beam management-based use case.

44. The method of any one of claims 38-43, wherein, The AI capability exposure mode comprises at least one of the following: the terminal exposes AI capability to the network device; the network device exposes AI capability to the terminal; and the terminal and other terminals expose AI capability to each other.

45. The method of any one of claims 32-44, wherein, The configuration information is associated with a valid time and / or a valid area. The effective time and / or the effective area are agreed by a protocol, or the effective time and / or the effective area are determined by the network device and configured to the terminal.

46. The method of any one of claims 32-45, wherein, The method further includes: sending indication information to the terminal, the indication information being used to indicate a capability providing manner of the network device, and the indication information being used for the terminal to perform cell selection or cell reselection.

47. The method of claim 46, wherein, The capability providing manner of the network device includes any of the following: providing the AI capability to the terminal through a current frequency point and / or a cell; requesting other frequency points and / or cells to provide the AI capability to the terminal.

48. The method of any one of claims 32-47, wherein, For any frequency point, a priority of the frequency point is determined based on a network AI capability of a first cell on the frequency point; The first cell is a highest-ranked cell on the frequency point, or the first cell is a best cell on the frequency point.

49. The method of any one of claims 32-48, wherein, The method further includes: receiving capability information sent by the terminal, the capability information being used to indicate that the terminal supports performing cell selection or cell reselection according to an AI requirement of the terminal.

50. A terminal, characterized by comprise: a processing module configured to perform cell selection or cell reselection according to AI requirement information of the terminal.

51. A network device, comprising: comprise: a transceiving module configured to send configuration information to the terminal, the configuration information being used for the terminal to perform cell selection or cell reselection based on the configuration information and the AI requirement information of the terminal.

52. A terminal, comprising: comprise: one or more processors; The terminal is configured to perform the information processing method in any of claims 1-31.

53. A network device, comprising: comprise: one or more processors; The network device is configured to perform the information processing method in any of claims 32-49.

54. A communication system, characterized by comprise a terminal and a network device, wherein the terminal is configured to implement the information processing method in any of claims 1-31, and the network device is configured to implement the information processing method in any of claims 32-49.

55. A storage medium, the storage medium storing instructions, wherein, When the instructions run on a communication device, the communication device is caused to perform the information processing method in any of claims 1-31 or 32-49.

56. A program product, characterized by The program product comprises a computer program, when the computer program is executed by a communication device, the communication device is caused to perform the information processing method in any of claims 1-31 or 32-49.

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