Random access method and device, and storage medium

Abstract

The invention provides a random access method and device, and a storage medium. According to the invention, the terminal receives the first configuration information sent by the network device, and the first configuration information comprises the RA configuration associated with the at least one first AI characteristic or the combination of the at least one first AI characteristic, so that the terminal can perform random access based on the first configuration information. According to the invention, the RA configuration associated with the at least one first AI characteristic or the at least one first AI characteristic combination is configured, so that the terminal can realize the random access based on the RA configuration associated with the at least one first AI characteristic or the at least one first AI characteristic combination, thereby ensuring the random access of the terminal supporting the AI characteristic or the AI characteristic combination, ensuring the normal operation of the related communication process of the AI service, and better meeting the service quality requirement of the AI service.

Description

Random access method and device, storage medium Technical Field

[0001] This disclosure relates to the field of communications, and more particularly to a random access method and apparatus, and a storage medium. Background Technology

[0002] The 6th generation mobile communication technology (6G) will provide efficient end-to-end support for artificial intelligence (AI) related businesses and applications. Through the 6G network, distributed intelligent agents can be intelligently connected, enabling large-scale deployment of AI across various industries.

[0003] In certain AI application scenarios, terminals that support AI services need to be prioritized for network access in order to improve the performance of AI applications and thus better meet the service quality requirements of AI services.

[0004] Summary of the Invention

[0005] To ensure random access for terminals that support AI features or combinations of AI features in mobile communications, thereby ensuring the normal operation of AI service-related communication processes and better meeting the quality of service requirements of AI services, this disclosure provides a random access method, apparatus, and storage medium.

[0006] According to a first aspect of the present disclosure, a random access method is provided, applied to a terminal, the method comprising: receiving first configuration information sent by a network device, the first configuration information including a random access (RA) configuration associated with at least one first artificial intelligence (AI) feature or a combination of at least one first AI feature; and performing random access based on the first configuration information.

[0007] According to a second aspect of the present disclosure, a random access method is provided, applied to a network device, the method comprising: sending first configuration information to a terminal, the first configuration information including a RA configuration associated with at least one first AI feature or a combination of at least one first AI feature, the first configuration information further being used by the terminal to perform random access.

[0008] According to a third aspect of the present disclosure, a terminal is provided, comprising: a transceiver module configured to receive first configuration information sent by a network device, the first configuration information including a random access (RA) configuration associated with at least one first AI feature or a combination of at least one first AI feature; and a processing module configured to perform random access based on the first configuration information.

[0009] According to a fourth aspect of the present disclosure, a network device is provided, comprising: a transceiver module configured to send first configuration information to a terminal, the first configuration information including RA configuration associated with at least one first AI feature or a combination of at least one first AI feature, the first configuration information further being used by the terminal to perform random access.

[0010] According to a fifth aspect of the present disclosure, a terminal is provided, comprising: one or more processors; wherein the terminal is configured to perform the random access method as described in the first aspect above.

[0011] According to a sixth aspect of the present disclosure, a network device is provided, comprising: one or more processors; wherein the network device is configured to perform the random access method as described in the second aspect above.

[0012] According to a seventh aspect of the present disclosure, a communication system is provided, including a terminal and a network device, wherein the terminal is configured to implement the random access method as described in the first aspect above, and the network device is configured to implement the random access method as described in the second aspect above.

[0013] According to an eighth aspect of the present disclosure, a storage medium is provided that stores instructions that, when executed on a communication device, cause the communication device to perform the random access method as described in the first or second aspect above.

[0014] In this embodiment of the disclosure, a network device sends first configuration information to a terminal, and the terminal receives the first configuration information sent by the network device. The first configuration information includes RA configuration associated with at least one first AI feature or at least one combination of first AI features, so that the terminal can perform random access based on the first configuration information. This ensures that the terminal supports random access for terminals that support AI features or combinations of AI features, thereby ensuring the normal operation of AI service-related communication processes and better meeting the service quality requirements of AI services.

[0015] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and are not intended to limit this disclosure. Attached Figure Description

[0016] The accompanying drawings, which are incorporated in and form a part of this specification, illustrate embodiments consistent with this disclosure and, together with the description, serve to explain the principles of this disclosure.

[0017] Figure 1 is a schematic diagram of the architecture of a communication system according to an embodiment of the present disclosure.

[0018] Figure 2 is an interactive schematic diagram of a random access method according to an embodiment of the present disclosure.

[0019] Figure 3A is a schematic flowchart illustrating a random access method according to an embodiment of the present disclosure.

[0020] Figure 3B is a schematic flowchart illustrating a random access method according to an embodiment of the present disclosure.

[0021] Figure 4A is a schematic diagram of the structure of the terminal proposed in an embodiment of this disclosure.

[0022] Figure 4B is a schematic diagram of the structure of the network device proposed in an embodiment of this disclosure.

[0023] Figure 5A is a schematic diagram of the structure of the communication device 5100 proposed in an embodiment of this disclosure.

[0024] Figure 5B is a schematic diagram of the structure of the chip 5200 proposed in the embodiments of this disclosure. Detailed Implementation

[0025] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numerals in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this disclosure. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this disclosure as detailed in the appended claims.

[0026] The terminology used in this disclosure is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. The singular forms “a,” “the,” and “the” as used in this disclosure and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term “and / or” as used herein refers to and includes any or all possible combinations of at least one associated listed item.

[0027] It should be understood that although the terms first, second, third, etc., may be used in this disclosure to describe various messages, these messages should not be limited to these terms. These terms are used only to distinguish messages of the same type from one another. For example, without departing from the scope of this disclosure, a first message may also be referred to as a second message, and similarly, a second message may also be referred to as a first message. Depending on the context, the word "if" as used herein may be interpreted as "when," "when," or "in response to determination."

[0028] This disclosure presents a random access method, apparatus, and storage medium.

[0029] In a first aspect, embodiments of this disclosure propose a random access method applied to a terminal, the method comprising: receiving first configuration information sent by a network device, the first configuration information including a random access RA configuration associated with at least one artificial intelligence (AI) feature or at least one combination of first AI features; and performing random access based on the first configuration information.

[0030] In the above embodiments, by receiving first configuration information sent by a network device, the first configuration information includes RA configuration associated with at least one first AI feature or at least one combination of first AI features, so that the terminal can perform random access based on the first configuration information, so that the terminal can achieve random access based on the RA configuration associated with at least one first AI feature or at least one combination of first AI features, thereby ensuring the random access of terminals that support AI features or combinations of AI features, thereby ensuring the normal operation of AI service-related communication processes and better meeting the service quality requirements of AI services.

[0031] In conjunction with some embodiments of the first aspect, in some embodiments, the RA configuration includes at least one of the following: random access channel RACH resource configuration; RA priority parameter configuration.

[0032] In the above embodiments, a variety of optional configuration contents are provided in the RA configuration so that the RA configuration associated with at least one first AI feature or at least one combination of first AI features can be flexibly configured as needed, thereby improving the flexibility and diversity of the first configuration information.

[0033] In conjunction with some embodiments of the first aspect, in some embodiments, the RA priority parameter includes at least one of the following: power ramp-up step size; backoff scaling factor; contention resolution timer duration.

[0034] In the above embodiments, a variety of optional RA priority parameters are provided so that RA priority parameters associated with at least one first AI feature or at least one combination of first AI features can be configured as needed, thereby improving the flexibility and diversity of RA priority parameter configuration methods.

[0035] In conjunction with some embodiments of the first aspect, in some embodiments, the RACH resource configuration includes at least one of the following: physical random access channel (PRACH) resource configuration; reference signal received power (RSRP) threshold configuration; preamble selection configuration for Group A or Group B; and physical uplink shared channel (PUSCH) resource configuration for a two-step random access procedure.

[0036] In the above embodiments, a variety of optional configuration contents included in the RACH resource configuration are provided so that the contents included in the RACH resource configuration can be flexibly configured as needed, thereby improving the flexibility and diversity of the RACH resource configuration associated with at least one first AI feature or at least one combination of first AI features, and further improving the flexibility and diversity of the first configuration information.

[0037] In conjunction with some embodiments of the first aspect, in some embodiments, the PRACH resource configuration includes at least one of the following: random access timing (RO) configuration; preamble configuration.

[0038] In the above embodiments, multiple optional configuration contents included in the PRACH resource configuration are provided so that the contents included in the PRACH resource configuration can be flexibly configured as needed, thereby improving the flexibility and diversity of the PRACH resource configuration associated with at least one first AI feature or at least one combination of first AI features, thereby improving the flexibility and diversity of the RACH resource configuration associated with at least one first AI feature or at least one combination of first AI features, and further improving the flexibility and diversity of the first configuration information.

[0039] In conjunction with some embodiments of the first aspect, in some embodiments, the RSRP threshold configuration is used for at least one of the following: RA type selection; Synchronization Signal Block (SSB) selection; Channel State Information Reference Signal (CSI-RS) selection.

[0040] In the above embodiments, multiple optional uses of RSRP threshold configuration are provided so that RSRP thresholds can be configured for multiple uses as needed, thereby improving the flexibility and diversity of RSRP threshold configuration associated with at least one first AI feature or at least one combination of first AI features, thereby improving the flexibility and diversity of RACH resource configuration associated with at least one first AI feature or at least one combination of first AI features, and further improving the flexibility and diversity of the first configuration information.

[0041] In conjunction with some embodiments of the first aspect, in some embodiments, the preamble selection configuration for Group A or Group B includes at least one of the following: preamble number configuration; preamble selection transport block size threshold configuration; and preamble selection power offset configuration.

[0042] In the above embodiments, a variety of optional configuration options are provided for the preamble selection configuration of Group A or Group B, thereby improving the flexibility and diversity of the preamble selection configuration method for Group A or Group B.

[0043] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes: determining at least one second AI feature or at least one combination of second AI features, wherein the at least one second AI feature or at least one combination of second AI features is an AI feature or combination of AI features applicable to the current random access procedure.

[0044] In the above embodiments, by determining at least one second AI feature or at least one combination of second AI features applicable to the current random access procedure, the current random access procedure of the terminal can be implemented based on at least one second AI feature or at least one combination of second AI features applicable to the current random access procedure, thereby ensuring the smooth progress of the random access procedure.

[0045] In conjunction with some embodiments of the first aspect, in some embodiments, determining at least one second AI feature or at least one combination of second AI features includes: determining at least one second AI feature or at least one combination of second AI features based on at least one third AI feature or at least one combination of third AI features, wherein at least one third AI feature or at least one combination of third AI features is an AI feature or AI feature combination that triggers the current random access procedure.

[0046] In the above embodiments, an optional implementation is provided to determine at least one second AI feature or at least one combination of second AI features applicable to the current random access procedure, so as to ensure that the AI ​​feature or combination of AI features applicable to the current random access procedure can be determined, thereby ensuring the smooth progress of subsequent random access procedures.

[0047] In conjunction with some embodiments of the first aspect, in some embodiments, determining at least one second AI feature or at least one combination of second AI features based on at least one third AI feature or at least one combination of third AI features includes any one of the following: determining at least one third AI feature or at least one combination of third AI features as at least one second AI feature or at least one combination of second AI features; determining at least one second AI feature or at least one combination of second AI features from at least one third AI feature or at least one combination of third AI features based on terminal implementation; determining at least one second AI feature or at least one combination of second AI features from at least one third AI feature or at least one combination of third AI features based on indication from a network device.

[0048] In the above embodiments, multiple optional implementations are provided for determining at least one second AI feature or at least one combination of second AI features applicable to the current random access procedure, so that the determination of at least one second AI feature or at least one combination of second AI features applicable to the current random access procedure can be flexibly achieved in multiple ways, thereby ensuring the smooth progress of subsequent random access procedures.

[0049] In conjunction with some embodiments of the first aspect, in some embodiments, determining at least one second AI feature or at least one combination of second AI features includes any one of the following: determining at least one second AI feature or at least one combination of second AI features by the Media Access Control (MAC) layer; determining at least one second AI feature or at least one combination of second AI features according to the instructions of the first protocol stack layer.

[0050] In the above embodiments, an optional implementation is provided for determining at least one second AI feature or at least one combination of second AI features applicable to the current random access procedure, so that the terminal can determine at least one second AI feature or at least one combination of second AI features applicable to the current random access procedure in multiple ways, thereby improving the flexibility of the AI ​​feature or AI feature combination determination process.

[0051] In conjunction with some embodiments of the first aspect, in some embodiments, the first protocol stack layer includes at least one of the following: a higher layer, the higher layer including protocol stack layers above the MAC layer; and a lower layer, the lower layer including protocol stack layers below the MAC layer.

[0052] In the above embodiments, multiple optional first protocol stack layers are provided so that the terminal can determine at least one first AI feature or at least one combination of first AI features applicable to the current random access procedure according to the instructions of the multiple first protocol stack layers, thereby improving the flexibility of the determination process of at least one first AI feature or at least one combination of first AI features applicable to the current random access procedure.

[0053] In conjunction with some embodiments of the first aspect, in some embodiments, the random access based on the first configuration information includes at least one of the following: selecting an RA configuration suitable for the current random access procedure based on the first configuration information and at least one second AI feature or a combination of at least one second AI feature; selecting an uplink between Supplementary Uplink (SUL) and Normal Uplink (NUL) based on the first configuration information and at least one second AI feature or a combination of at least one second AI feature; and performing a bandwidth portion (BWP) selection based on the first configuration information and at least one second AI feature or a combination of at least one second AI feature.

[0054] In the above embodiments, multiple optional implementation methods are provided for the terminal to perform random access based on the first configuration information, so that the terminal can implement random access based on the first configuration information in multiple ways, thereby improving the flexibility of the random access process of the terminal that supports AI features or combinations of AI features.

[0055] In conjunction with some embodiments of the first aspect, in some embodiments, the random access based on the first configuration information includes: if there is one RA configuration applicable to the current random access procedure, performing random access based on the RA configuration applicable to the current random access procedure; or if there are multiple RA configurations applicable to the current random access procedure, selecting one RA configuration from the multiple RA configurations applicable to the current random access procedure to perform random access based on the selected RA configuration.

[0056] In the above embodiments, when there are one or more RA configurations applicable to the current random access procedure, an implementation method for random access based on the first configuration information is provided to ensure that the terminal can achieve random access based on the first configuration information when there are one or more RA configurations applicable to the current random access procedure.

[0057] In conjunction with some embodiments of the first aspect, in some embodiments, selecting one RA configuration from a plurality of RA configurations applicable to the current random access procedure includes at least one of the following: performing RA configuration selection based on protocol conventions; performing RA configuration selection based on the instructions of the network device; and performing RA configuration selection according to the terminal implementation.

[0058] In the above embodiments, when there are multiple RA configurations applicable to the current random access procedure, various optional implementations are provided for selecting one RA configuration from multiple RA configurations to improve the flexibility of the RA configuration selection process.

[0059] In conjunction with some embodiments of the first aspect, in some embodiments, the AI ​​characteristics include at least one of the following: AI capability characteristics, which indicate whether the terminal possesses AI capabilities, and / or, which indicate whether the terminal has AI needs; AI capability sharing characteristics, which indicate the AI ​​capability sharing modes supported by the terminal, and / or, which indicate the AI ​​capability sharing modes required by the terminal; AI service characteristics, which indicate the types of AI services supported by the terminal, and / or, which indicate the types of AI services required by the terminal; AI use case characteristics, which indicate the types of AI use cases supported by the terminal, and / or, which indicate the types of AI use cases required by the terminal; and AI resource characteristics, which indicate the types of AI resources supported by the terminal, and / or, which indicate the types of AI resources required by the terminal.

[0060] In the above embodiments, a variety of optional AI features are provided. By combining the various optional AI features, a variety of AI feature combinations can be obtained. This allows the RA configuration associated with the various AI features or AI feature combinations to be provided through the first configuration information, thereby ensuring that terminals supporting different AI features or AI feature combinations can achieve random access based on the first configuration information.

[0061] In conjunction with some embodiments of the first aspect, in some embodiments, the AI ​​capability sharing mode includes at least one of the following: the terminal shares AI capabilities with the network device; the network device shares AI capabilities with the terminal; the terminal shares AI capabilities with other terminals.

[0062] In the above embodiments, multiple optional AI capability sharing modes are provided, which can not only further improve the flexibility and diversity of AI features or combinations of AI features, but also provide RA configurations associated with multiple AI capability sharing modes through the first configuration information, thereby ensuring that terminals supporting different AI capability sharing modes can achieve random access based on the first configuration information.

[0063] In conjunction with some embodiments of the first aspect, in some embodiments, the AI ​​service type includes at least one of the following: AI model training service; AI model inference service; AI model verification service; AI model data service.

[0064] In the above embodiments, providing multiple optional AI service types can not only further improve the flexibility and diversity of AI features or combinations of AI features, but also provide RA configurations associated with multiple AI service types through the first configuration information, thereby ensuring that terminals supporting different AI service types can achieve random access based on the first configuration information.

[0065] In conjunction with some embodiments of the first aspect, in some embodiments, the AI ​​use case type includes at least one of the following: AI-based positioning use case; AI-based beam management use case.

[0066] In the above embodiments, multiple optional AI use case types are provided, which can not only further improve the flexibility and diversity of AI features or combinations of AI features, but also provide RA configurations associated with multiple AI use case types through the first configuration information, thereby ensuring that terminals supporting different AI use case types can achieve random access based on the first configuration information.

[0067] In conjunction with some embodiments of the first aspect, in some embodiments, the AI ​​resource type includes at least one of the following: AI computing power resources; AI algorithm resources; AI data resources; AI connectivity resources.

[0068] In the above embodiments, providing multiple optional AI resource types can not only further improve the flexibility and diversity of AI features or combinations of AI features, but also provide RA configurations associated with multiple AI resource types through the first configuration information, thereby ensuring that terminals supporting different AI resource types can achieve random access based on the first configuration information.

[0069] In conjunction with some embodiments of the first aspect, in some embodiments, when the terminal includes a first AI feature or combination of first AI features associated with the RA configuration included in the first configuration information in at least one second AI feature or at least one combination of second AI features, the terminal performs a step of random access based on the first configuration information; wherein, at least one second AI feature or at least one combination of second AI features is an AI feature or combination of AI features applicable to the current random access procedure.

[0070] In the above embodiments, the conditions that the terminal must meet when performing random access based on the first configuration information are provided, so that the terminal can achieve random access based on the first configuration information when the corresponding conditions are met.

[0071] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes: performing random access rollback when a preset rollback condition is met; wherein the preset rollback condition includes the number of random access attempts reaching the first count, and / or the preset rollback condition includes the network device indicating a rollback.

[0072] In the above embodiments, by having the terminal perform random access fallback under preset fallback conditions, the terminal can implement random access fallback under specified conditions, thereby ensuring the legality of the random access fallback process. Furthermore, multiple optional fallback conditions are provided, allowing the terminal to implement random access fallback under various optional conditions, thus improving the flexibility of the random access fallback process.

[0073] In conjunction with some embodiments of the first aspect, in some embodiments, performing random access fallback includes any of the following: falling back between different types of random access procedures; falling back between RA configurations associated with different AI features or combinations of AI features.

[0074] In the above embodiments, multiple optional implementation methods for performing random access fallback are provided so that the terminal can implement random access fallback in multiple ways, thereby improving the flexibility of the random access fallback process.

[0075] In conjunction with some embodiments of the first aspect, in some embodiments, the fallback between RA configurations associated with different AI features or combinations of AI features includes at least one of the following: determining, according to a protocol, to fall back to the RA configuration associated with a fourth AI feature or combination of fourth AI features; determining, according to an instruction from the network device, to fall back to the RA configuration associated with a fourth AI feature or combination of fourth AI features.

[0076] In the above embodiments, multiple optional methods are provided for the terminal to fall back between RA configurations associated with different AI features or combinations of AI features, so that the terminal can achieve random access fallback between RA configurations associated with different AI features or combinations of AI features in multiple ways, thereby improving the flexibility of the random access fallback process between RA configurations associated with different AI features or combinations of AI features.

[0077] In conjunction with some embodiments of the first aspect, in some embodiments, the terminal is a terminal that supports random access based on the first configuration information.

[0078] In the above embodiments, by using a terminal that supports random access based on the first configuration information as the execution subject of the random access method provided in this disclosure embodiment, it is ensured that the terminal can achieve random access based on the first configuration information, thereby ensuring random access for terminals that support AI features or combinations of AI features.

[0079] In some embodiments, in conjunction with the first aspect, the method further includes: sending capability information to the network device, the capability information being used to indicate whether the terminal supports random access based on first configuration information.

[0080] In the above embodiments, by sending capability information from the terminal to the network device, the capability information is used to indicate whether the terminal supports random access based on the first configuration information. The network device can learn about the terminal's random access capability based on the capability information, so that the network device can continue the subsequent communication process according to the terminal's random access capability.

[0081] Secondly, embodiments of this disclosure propose a random access method applied to a network device. The method includes: sending first configuration information to a terminal, the first configuration information including RA configuration associated with at least one first AI feature or a combination of at least one first AI feature, and the first configuration information is also used by the terminal to perform random access.

[0082] In the above embodiments, by sending first configuration information to the terminal through the network device, the first configuration information includes RA configuration associated with at least one first AI feature or at least one combination of first AI features, so that the terminal can perform random access based on the first configuration information, thereby ensuring random access for terminals that support AI features or combinations of AI features. This ensures the normal operation of AI service-related communication processes and better meets the service quality requirements of AI services.

[0083] In conjunction with some embodiments of the second aspect, in some embodiments, the RA configuration includes at least one of the following: RACH resource configuration; RA priority parameter configuration.

[0084] In conjunction with some embodiments of the second aspect, in some embodiments, the RA priority parameter includes at least one of the following: power ramp-up step size; backoff scaling factor; contention resolution timer duration.

[0085] In conjunction with some embodiments of the second aspect, in some embodiments, the RACH resource configuration includes at least one of the following: PRACH resource configuration; RSRP threshold configuration; preamble selection configuration for Group A or Group B; and PUSCH resource configuration for a two-step random access procedure.

[0086] In conjunction with some embodiments of the second aspect, in some embodiments, the PRACH resource configuration includes at least one of the following: RO configuration; preamble configuration.

[0087] In conjunction with some embodiments of the second aspect, in some embodiments, the RSRP threshold configuration is used for at least one of the following: RA type selection; Synchronization Signal Block (SSB) selection; Channel State Information Reference Signal (CSI-RS) selection.

[0088] In conjunction with some embodiments of the second aspect, in some embodiments, the preamble selection configuration for Group A or Group B includes at least one of the following: preamble number configuration; preamble selection transport block size threshold configuration; and preamble selection power offset configuration.

[0089] In conjunction with some embodiments of the second aspect, in some embodiments, the first configuration information is used by the terminal for random access, including at least one of the following: the first configuration information is used by the terminal to select an RA configuration suitable for the current random access procedure; the first configuration information is used by the terminal to select an uplink in SUL and NUL; the first configuration information is used by the terminal to perform bandwidth portion BWP selection.

[0090] In conjunction with some embodiments of the second aspect, in some embodiments, there is one RA configuration applicable to the current random access procedure, and the RA configuration applicable to the current random access procedure is used by the terminal to perform random access; there are multiple RA configurations applicable to the current random access procedure, and the multiple RA configurations applicable to the current random access procedure are used by the terminal to perform RA configuration selection, so as to select one RA configuration from the multiple RA configurations for random access.

[0091] In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes: sending first indication information to the terminal, the first indication information being used by the terminal to perform RA configuration selection among multiple RA configurations applicable to the current random access procedure.

[0092] In the above embodiments, by sending a first indication information to the terminal through the network device, the terminal is instructed to perform RA configuration selection among multiple RA configurations applicable to the current random access procedure, so as to ensure the smooth execution of the RA configuration selection process by the terminal.

[0093] In conjunction with some embodiments of the second aspect, in some embodiments, the AI ​​characteristics include at least one of the following: AI capability characteristics, which indicate whether the terminal possesses AI capabilities, and / or, which indicate whether the terminal has AI needs; AI capability sharing characteristics, which indicate the AI ​​capability sharing modes supported by the terminal, and / or, which indicate the AI ​​capability sharing modes required by the terminal; AI service characteristics, which indicate the types of AI services supported by the terminal, and / or, which indicate the types of AI services required by the terminal; AI use case characteristics, which indicate the types of AI use cases supported by the terminal, and / or, which indicate the types of AI use cases required by the terminal; and AI resource characteristics, which indicate the types of AI resources supported by the terminal, and / or, which indicate the types of AI resources required by the terminal.

[0094] In conjunction with some embodiments of the second aspect, in some embodiments, the AI ​​capability sharing mode includes at least one of the following: the terminal shares AI capabilities with the network device; the network device shares AI capabilities with the terminal; the terminal shares AI capabilities with other terminals.

[0095] In conjunction with some embodiments of the second aspect, in some embodiments, the AI ​​service type includes at least one of the following: AI model training service; AI model inference service; AI model verification service; AI model data service.

[0096] In conjunction with some embodiments of the second aspect, in some embodiments, the AI ​​use case type includes at least one of the following: AI-based positioning use case; AI-based beam management use case.

[0097] In conjunction with some embodiments of the second aspect, in some embodiments, the AI ​​resource type includes at least one of the following: AI computing power resources; AI algorithm resources; AI data resources; AI connectivity resources.

[0098] In conjunction with some embodiments of the second aspect, in some embodiments, the terminal performs random access based on the first configuration information when at least one second AI feature or at least one combination of second AI features includes the first AI feature or first AI feature associated with the RA configuration included in the first configuration information; wherein, at least one second AI feature or at least one combination of second AI features is an AI feature or AI feature combination applicable to the current random access procedure.

[0099] In some embodiments, in conjunction with the second aspect, the method further includes: sending a second indication message to the terminal, the second indication message being used to instruct the terminal to perform a random access fallback.

[0100] In the above embodiments, by sending a second indication message to the terminal through the network device, the terminal is instructed to perform random access fallback, so that the terminal can perform random access fallback under the instruction of the network device, thereby ensuring the legality of the terminal's random access fallback process.

[0101] In conjunction with some embodiments of the second aspect, in some embodiments, the second indication information used to instruct the terminal to perform random access fallback includes any of the following: the second indication information used to instruct the terminal to fall back between different types of random access procedures; the second indication information used to instruct the terminal to fall back between RA configurations associated with different AI features or combinations of AI features.

[0102] In the above embodiments, the second indication information is provided to indicate a variety of contents, so that the second indication information can be used to indicate a variety of random access fallback methods, thereby improving the flexibility of the terminal's random fallback process.

[0103] In conjunction with some embodiments of the second aspect, in some embodiments, the second indication information is used to instruct the terminal to fall back between RA configurations associated with different AI features or combinations of AI features, and the method further includes: sending third indication information to the terminal, the third indication information being used to instruct the terminal to fall back to an RA configuration associated with a fourth AI feature or a combination of fourth AI features.

[0104] In the above embodiments, when the network device instructs the terminal to fall back between RA configurations associated with different AI features or combinations of AI features through the second instruction information, the network device instructs the terminal to fall back to the RA configuration associated with the fourth AI feature or combination of the fourth AI feature through the third instruction information, so as to ensure that the terminal can realize access fallback between RA configurations associated with different AI features or combinations of AI features under the instruction of the network device, and to ensure the legality of the terminal's random access fallback behavior.

[0105] In conjunction with some embodiments of the second aspect, in some embodiments, the terminal is a terminal that supports random access based on the first configuration information.

[0106] In some embodiments, in conjunction with the second aspect, the method further includes: receiving capability information sent by the terminal, the capability information being used to indicate whether the terminal supports random access based on first configuration information.

[0107] In the above embodiments, the network device receives capability information sent by the terminal. The capability information is used to indicate whether the terminal supports random access based on the first configuration information, so that the network device can know the terminal's random access capability based on the capability information, and the network device can continue the subsequent communication process according to the terminal's random access capability.

[0108] Thirdly, embodiments of this disclosure provide a terminal, comprising: a transceiver module configured to receive first configuration information sent by a network device, the first configuration information including a random access (RA) configuration associated with at least one first AI feature or a combination of at least one first AI feature; and a processing module configured to perform random access based on the first configuration information.

[0109] Fourthly, embodiments of this disclosure provide a network device, including: a transceiver module configured to send first configuration information to a terminal, the first configuration information including RA configuration associated with at least one first AI feature or a combination of at least one first AI feature, the first configuration information also being used by the terminal to perform random access.

[0110] Fifthly, embodiments of this disclosure provide a terminal, comprising: one or more processors; wherein the terminal is configured to execute the random access method as described in the first aspect and any embodiment thereof.

[0111] In a sixth aspect, embodiments of this disclosure provide a network device comprising: one or more processors; wherein the network device is configured to perform the random access method as described in the second aspect and any embodiment thereof.

[0112] In a seventh aspect, embodiments of this disclosure provide a communication system including a terminal and a network device, wherein the terminal is configured to implement the random access method as described in the first aspect and any embodiment of the first aspect, and the network device is configured to implement the random access method as described in the second aspect and any embodiment of the second aspect.

[0113] Eighthly, embodiments of this disclosure provide a storage medium storing instructions that, when executed on a communication device, cause the communication device to perform the random access method as described in the first aspect and any embodiment of the first aspect, the second aspect and any embodiment of the second aspect.

[0114] Ninthly, embodiments of this disclosure provide a program product that, when executed by a communication device, causes the communication device to perform the random access method as described in the first aspect and any embodiment of the first aspect, the second aspect and any embodiment of the second aspect.

[0115] In a tenth aspect, embodiments of this disclosure provide a computer program that, when run on a computer, causes the computer to perform the random access method as described in the first aspect and any embodiment of the first aspect, the second aspect and any embodiment of the second aspect.

[0116] Eleventhly, embodiments of this disclosure provide a chip or chip system. The chip or chip system includes processing circuitry configured to perform the random access method as described in the first aspect and any embodiment of the first aspect, the second aspect and any embodiment of the second aspect.

[0117] It is understood that the aforementioned terminals, network devices, communication systems, storage media, program products, computer programs, chips, or chip systems are all used to execute the methods proposed in the embodiments of this disclosure. Therefore, the beneficial effects they can achieve can be referred to the beneficial effects in the corresponding methods, and will not be repeated here.

[0118] This disclosure provides a random access method, apparatus, and storage medium. In some embodiments, the terms "random access method" and "information processing method," "communication method," etc., can be used interchangeably; the terms "random access apparatus" and "information processing apparatus," "communication apparatus," etc., can be used interchangeably; and the terms "information processing system," "communication system," etc., can be used interchangeably.

[0119] This disclosure is not exhaustive, but merely illustrative of some embodiments, and is not intended to limit the scope of protection of this disclosure. Unless otherwise specified, each step in a particular embodiment can be implemented as an independent embodiment, and the steps can be arbitrarily combined. For example, a solution after removing some steps in a particular embodiment can also be implemented as an independent embodiment, and the order of the steps in a particular embodiment can be arbitrarily interchanged. Furthermore, the optional implementation methods in a particular embodiment can be arbitrarily combined; moreover, the embodiments can be arbitrarily combined, for example, some or all steps of different embodiments can be arbitrarily combined, and a particular embodiment can be arbitrarily combined with the optional implementation methods of other embodiments.

[0120] In each of the disclosed embodiments, unless otherwise specified or in case of logical conflict, the terminology and / or descriptions of the embodiments are consistent and can be referenced by each other. Technical features in different embodiments can be combined to form new embodiments based on their inherent logical relationships.

[0121] The terminology used in the embodiments of this disclosure is for the purpose of describing particular embodiments only and is not intended to limit the scope of this disclosure.

[0122] In this embodiment of the disclosure, unless otherwise stated, elements expressed in the singular form, such as "a," "an," "the," "the," "the," "the," "the," "the," "this," etc., can mean "one and only one," or "one or more," "at least one," etc. For example, when using articles such as "a," "an," "the," etc. in translation, the noun following the article can be understood as either a singular expression or a plural expression.

[0123] In the embodiments disclosed herein, "multiple" refers to two or more.

[0124] In some embodiments, the terms “at least one of”, “one or more”, “a plurality of”, “multiple”, etc., may be used interchangeably.

[0125] In some embodiments, the notation "at least one of A and B", "A and / or B", "A in one case, B in another", "in response to one case A, in response to another case B", etc., may include the following technical solutions depending on the situation: in some embodiments, A (execute A regardless of B); in some embodiments, B (execute B regardless of A); in some embodiments, execution is selected from A and B (A and B are selectively executed); in some embodiments, A and B (both A and B are executed). The same applies when there are more branches such as A, B, C, etc.

[0126] In some embodiments, the notation "A or B" may include the following technical solutions, depending on the situation: in some embodiments, A (execution of A regardless of B); in some embodiments, B (execution of B regardless of A); in some embodiments, execution is selected from A and B (A and B are selectively executed). The same applies when there are more branches such as A, B, C, etc.

[0127] The prefixes "first," "second," etc., used in the embodiments of this disclosure are merely for distinguishing different descriptive objects and do not impose restrictions on the position, order, priority, quantity, or content of the descriptive objects. The description of the descriptive objects is found in the claims or the context of the embodiments, and the use of prefixes should not constitute unnecessary restrictions. For example, if the descriptive object is a "field," the ordinal numbers preceding "field" in "first field" and "second field" do not restrict the position or order of the "fields." "First" and "second" do not restrict whether the "fields" they modify are in the same message, nor do they restrict the order of "first field" and "second field." Similarly, if the descriptive object is a "level," the ordinal numbers preceding "level" in "first level" and "second level" do not restrict the priority between "levels." Furthermore, the number of descriptive objects is not limited by ordinal numbers and can be one or more. For example, in "first device," the number of "devices" can be one or more. Furthermore, the objects modified by different prefixes can be the same or different. For example, if the object being described is "device", then "first device" and "second device" can be the same device or different devices, and their types can be the same or different. Similarly, if the object being described is "information", then "first information" and "second information" can be the same information or different information, and their content can be the same or different.

[0128] In some embodiments, “including A,” “containing A,” “for indicating A,” and “carrying A” can be interpreted as directly carrying A or indirectly indicating A.

[0129] In some embodiments, the terms “in response to…”, “in response to determining…”, “in the case of…”, “when…”, “if…”, “if…”, etc., can be used interchangeably.

[0130] In some embodiments, the terms “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,” and “above” can be used interchangeably, as can the terms “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,” and “below”.

[0131] In some embodiments, the apparatus and device may be interpreted as physical or virtual, and their names are not limited to the names recorded in the embodiments. In some cases, they may also be understood as "equipment", "device", "circuit", "network element", "node", "function", "unit", "section", "system", "network", "chip", "chip system", "entity", "body", etc.

[0132] In some embodiments, "network" can be interpreted as devices included in the network, such as access network devices, core network devices, etc.

[0133] In some embodiments, "access network device (AN device)" may also be referred to as "radio access network device (RAN device)," "base station (BS)," "radio base station," or "fixed station." In some embodiments, it may 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," or "bandwidth part (BWP)."

[0134] In some embodiments, "terminal" or "terminal device" may be referred to as "user equipment (UE)," "user terminal," "mobile station (MS)," "mobile terminal (MT)," "subscriber station," "mobile unit," "subscriber unit," "wireless unit," "remote unit," "mobile device," "wireless device," "wireless communication device," "remote device," "mobile subscriber station," "access terminal," "mobile terminal," "wireless terminal," "remote terminal," "handset," "user agent," "mobile client," "client," etc.

[0135] In some embodiments, the acquisition of data, information, etc., may comply with the laws and regulations of the country where the location is situated.

[0136] In some embodiments, data, information, etc., may be obtained with the user's consent.

[0137] Furthermore, each element, each row, or each column in the table of this disclosure can be implemented as an independent embodiment, and any combination of any element, any row, or any column can also be implemented as an independent embodiment.

[0138] Figure 1 is a schematic diagram of the architecture of a communication system according to an embodiment of the present disclosure. As shown in Figure 1, the communication system 100 includes a terminal 101 and a network device 102.

[0139] In some embodiments, terminal 101 includes, but is not limited to, at least one of the following: mobile phone, wearable device, Internet of Things device, car with communication function, smart car, tablet computer, computer with wireless transceiver function, virtual reality (VR) terminal device, augmented reality (AR) terminal device, wireless terminal device in industrial control, wireless terminal device in self-driving, wireless terminal device in remote medical surgery, wireless terminal device in smart grid, wireless terminal device in transportation safety, wireless terminal device in smart city, and wireless terminal device in smart home.

[0140] In some embodiments, network device 102 includes at least one of access network device and core network device.

[0141] In some embodiments, the access network device is, for example, a node or device that connects a terminal to a wireless network. The access network device may include, but is not limited to, at least one of the following in a 5G communication system: evolved Node B (eNB), next-generation eNB (ng-eNB), next-generation Node B (gNB), node B (NB), home node B (HNB), home evolved node B (HeNB), radio backhaul device, radio network controller (RNC), base station controller (BSC), base transceiver station (BTS), base band unit (BBU), mobile switching center, base station in a 6G communication system, open RAN, cloud RAN, base station in other communication systems, and access node in a Wi-Fi system.

[0142] In some embodiments, the technical solutions of this disclosure can be applied to the Open RAN architecture. In this case, the interfaces between or within access network devices involved in the embodiments of this disclosure can be transformed into internal interfaces of Open RAN. The processes and information interactions between these internal interfaces can be implemented by software or programs.

[0143] In some embodiments, the access network device may be composed of a central unit (CU) and a distributed unit (DU). The CU may also be called a control unit. The CU-DU structure can separate the protocol layer of the access network device. Some of the protocol layer functions are centrally controlled by the CU, while the remaining part or all of the protocol layer functions are distributed in the DU and centrally controlled by the CU. However, this is not the only possibility.

[0144] In some embodiments, the core network equipment can be a single device, including a first network element, a second network element, etc., or it can be multiple devices or a group of devices, each including all or part of the first network element, the second network element, etc. Network elements can be virtual or physical. The core network includes, for example, at least one of the following: Evolved Packet Core (EPC), 5G Core Network (5GCN), 6G Core Network (6GCN), and Next Generation Core (NGC).

[0145] In some embodiments, the first network element is, for example, the Access and Mobility Management Function (AMF).

[0146] In some embodiments, the first network element is used to process user access requests and mobility management, and its name is not limited thereto.

[0147] In some embodiments, the second network element is, for example, a Session Management Function (SMF).

[0148] In some embodiments, the second network element is used for user session management, and its name is not limited thereto.

[0149] In some embodiments, the third network element is, for example, a Policy Control Function (PCF).

[0150] In some embodiments, the third network element is used to implement policy control, and its name is not limited thereto.

[0151] In some embodiments, the fourth network element is, for example, a User Plane Function (UPF).

[0152] In some embodiments, the fourth network element is used to handle the forwarding of user data, and its name is not limited thereto.

[0153] In some embodiments, the aforementioned network elements can be independent of the core network equipment.

[0154] In some embodiments, the aforementioned network elements may be part of the core network equipment.

[0155] It is understood that the communication system described in this disclosure is for the purpose of more clearly illustrating the technical solutions of this disclosure, and does not constitute a limitation on the technical solutions proposed in this disclosure. As those skilled in the art will know, with the evolution of system architecture and the emergence of new business scenarios, the technical solutions proposed in this disclosure are also applicable to similar technical problems.

[0156] The following embodiments of this disclosure can be applied to the communication system 100 shown in FIG1, or to some of the main bodies, but are not limited thereto. The main bodies shown in FIG1 are illustrative. The communication system may include all or some of the main bodies in FIG1, or may include other main bodies outside of FIG1. ​​The number and form of each main body are arbitrary. Each main body may be physical or virtual. The connection relationship between the main bodies is illustrative. The main bodies may not be connected or may be connected. The connection can be in any way, it can be a direct connection or an indirect connection, it can be a wired connection or a wireless connection.

[0157] The embodiments disclosed herein 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), CDMA2000, Ultra Mobile Broadband (UMB), IEEE 802.11 (Wi-Fi), IEEE 802.16 (WiMAX), and IEEE 802.20, Ultra-Wideband (UWB), Bluetooth (a registered trademark), Public Land Mobile Network (PLMN) networks, Device-to-Device (D2D) systems, Machine-to-Machine (M2M) systems, Internet of Things (IoT) systems, Vehicle-to-Everything (V2X) systems, systems utilizing other communication methods, and next-generation systems built upon them, etc. Furthermore, multiple systems can be combined (e.g., a combination of LTE or LTE-A with 5G).

[0158] In wireless networks, random access is an important and fundamental process. It can be used not only for initial access but also for access to new cells during handover, access after wireless link failure, and resuming uplink synchronization when there is uplink or downlink data transmission.

[0159] In related technologies, random access has been enhanced by introducing a two-step RACH based on the four-step Random Access Channel (RACH). This is achieved by merging message 1 (Msg1) and message 3 (Msg3) of the four-step RACH into message A (messageA, MsgA), and merging message 2 (message2, Msg2) and message 4 (message4, Msg4) of the four-step RACH into message B (messageB, MsgB), thus simplifying the four-step RACH into a two-step RACH and reducing latency and signaling overhead during the random access process.

[0160] In 6G networks, 6G terminals can still use 2-step RACH or 4-step RACH to achieve random access.

[0161] 6G networks can provide ubiquitous intelligent services. 6G will provide efficient end-to-end support for AI-related businesses and applications, intelligently connecting distributed intelligent agents to enable large-scale deployment of AI across various industries.

[0162] In certain AI application scenarios, AI terminals need to have priority access to the network to improve the performance of AI applications, meet specific quality of service requirements, and support a wider range of AI services and applications. For example, in distributed learning and federated learning scenarios, AI terminals need to share models and data with other devices; priority network access helps achieve effective model sharing and collaboration. Furthermore, some applications requiring real-time responses (such as autonomous driving and remote medical surgery) are highly sensitive to network latency; priority network access ensures that these applications can process data quickly and in real-time.

[0163] To ensure the random access of terminal devices supporting AI features or combinations of AI features in mobile communications and to ensure normal communication, this disclosure proposes a random access method that introduces a proprietary random access (RA) configuration for AI features or combinations of AI features. This allows terminals to perform random access according to the proprietary RA configuration, ensuring priority access for AI terminals.

[0164] Figure 2 is an interactive schematic diagram of a random access method according to an embodiment of the present disclosure. As shown in Figure 2, this disclosure relates to a random access method, which includes:

[0165] Step S2101: The terminal sends capability information to the network device.

[0166] In some embodiments, the terminal is a terminal that supports random access based on first configuration information. The first configuration information includes RA configuration associated with at least one first AI feature or a combination of at least one first AI feature. That is, the first configuration information includes RA configuration specific to at least one first AI feature, or the first configuration information includes RA configuration specific to a combination of at least one first AI feature. The description of the first configuration information will be detailed below and will not be repeated here.

[0167] In some embodiments, the first AI feature is an AI feature associated with the RA configuration configured by the network device, which can be understood as an AI feature supported by the network device or an AI feature that the network device supports in configuring a proprietary RA configuration. The first AI feature combination is a combination of AI features associated with the RA configuration of the network device, which can be understood as a combination of AI features supported by the network device or a combination of AI features that the network device supports in configuring a proprietary RA configuration.

[0168] In some embodiments, the network device receives capability information sent by the terminal.

[0169] In some embodiments, capability information is used to indicate whether the terminal supports random access based on first configuration information.

[0170] In some embodiments, the name of the capability information is not limited, and it may be, for example, "capability indication".

[0171] In some embodiments, the names of information, etc., are not limited to the names described in the embodiments. Terms such as "information", "message", "signal", "signaling", "report", "configuration", "indication", "instruction", "command", "channel", "parameter", "domain", "field", "symbol", "symbol", "codebook", "codeword", "codepoint", "bit", "data", "program", and "chip" can be used interchangeably.

[0172] In some embodiments, the network device may determine whether to send first configuration information to the terminal based on capability information.

[0173] In some embodiments, the capability information indicates that the terminal supports random access based on the first configuration information, and the network device can determine to send the first configuration information to the terminal based on the capability information.

[0174] In some embodiments, the capability information indicates that the terminal does not support random access based on the first configuration information, and the network device can determine not to send the first configuration information to the terminal based on the capability information.

[0175] In step S2102, the network device sends the first configuration information to the terminal.

[0176] In some embodiments, the terminal receives first configuration information sent by the network device.

[0177] In some embodiments, the first configuration information includes an RA configuration associated with at least one first AI feature or a combination of at least one first AI feature. Alternatively, the first configuration information includes an RA configuration specific to at least one first AI feature or a combination of at least one first AI feature.

[0178] In some embodiments, the name of the first configuration information is not limited, and it may be, for example, "RA configuration information".

[0179] In some embodiments, the RA configuration may include a 2-step RA configuration and / or a 4-step RA configuration. That is, the RA configuration associated with at least one first AI feature or at least one combination of first AI features includes a 2-step RA configuration associated with at least one first AI feature or at least one combination of first AI features, and / or, the RA configuration associated with at least one first AI feature or at least one combination of first AI features includes a 4-step RA configuration associated with at least one first AI feature or at least one combination of first AI features.

[0180] In some embodiments, the RA configuration includes RACH resource configuration and / or RA priority parameter configuration. That is, the RA configuration associated with at least one first AI feature or at least one combination of first AI features includes RACH resource configuration associated with at least one first AI feature or at least one combination of first AI features, and / or, the RA configuration associated with at least one first AI feature or at least one combination of first AI features includes RA priority parameter configuration associated with at least one first AI feature or at least one combination of first AI features. In other words, the RA configuration associated with at least one first AI feature or at least one combination of first AI features includes RACH resource configuration specific to at least one first AI feature or at least one combination of first AI features, and / or, the RA configuration associated with at least one first AI feature or at least one combination of first AI features includes RA priority parameter configuration specific to at least one first AI feature or at least one combination of first AI features.

[0181] In some embodiments, the RA priority parameter configuration associated with at least one first AI feature or a combination of at least one first AI feature can be configured explicitly or implicitly.

[0182] In some embodiments, the RA priority parameter configuration associated with at least one first AI feature or at least one combination of first AI features is configured implicitly. New access categories or access identities may be introduced for AI to configure the RA priority parameter configuration associated with at least one first AI feature or at least one combination of first AI features for the access category or access identity.

[0183] Optionally, the network device sends first configuration information to the terminal. The first configuration information includes at least one RA priority parameter and corresponding indication information. The indication information indicates whether random access corresponding to different access categories or access identifiers can use the at least one RA priority parameter. The access category or access identifier includes at least one first AI feature or an access category or access identifier associated with a combination of at least one first AI feature. For example, different fields in the indication information may correspond to different access categories, and different values ​​of the fields may be used to indicate whether the configuration of the at least one RA priority parameter is applicable to the access category corresponding to the field; or, different fields may correspond to different access identifiers, and different values ​​of the fields may be used to indicate whether the configuration of the at least one RA priority parameter is applicable to the access identifier corresponding to the field. Optionally, a field value of a first value may indicate that the configuration of the at least one RA priority parameter is applicable to the access category or access identifier corresponding to the field, and a field value of a second value may indicate that the configuration of the at least one RA priority parameter is not applicable to the access category or access identifier corresponding to the field. For example, the first value may be 1, and the second value may be other values, but is not limited to these.

[0184] Optionally, when configuring the RA priority parameter configuration associated with at least one first AI feature or at least one combination of first AI features in an implicit configuration manner, the terminal access layer (AS) only needs to know the access category or access identifier associated with the terminal's AI feature or combination of AI features (i.e., the second AI feature or combination of second AI features, which will be detailed below and will not be repeated here), and determine the applicable RA priority parameter configuration based on the access category or access identifier, without being aware of the specific AI feature or combination of AI features.

[0185] In some embodiments, the RA priority parameter configuration associated with at least one first AI feature or at least one combination of first AI features is configured explicitly. This can be achieved through an RA priority information list, which may include at least one first AI feature or at least one combination of first AI features and its associated RA priority parameter configuration. Optionally, each first AI feature or combination of first AI features may be associated with a different RA priority parameter configuration, or different first AI features may be associated with the same RA priority parameter configuration; this disclosure does not limit this approach.

[0186] Optionally, when the RA priority parameter configuration associated with at least one first AI feature or at least one combination of first AI features is configured in an explicit manner, the terminal AS layer needs to be aware of the specific AI feature or combination of AI features so that it can determine the associated RA priority parameter configuration based on the terminal's AI feature or combination of AI features (i.e., the second AI feature or combination of second AI features, which will be detailed below and will not be repeated here), and initiate random access based on the configuration.

[0187] In some embodiments, the RACH resource configuration associated with at least one first AI feature or a combination of at least one first AI feature can be configured explicitly or implicitly.

[0188] In some embodiments, RACH resource configuration associated with at least one first AI feature or at least one combination of first AI features is configured implicitly. New access categories or access identifiers may be introduced for AI to configure RACH resource configuration associated with at least one first AI feature or at least one combination of first AI features for the access category or access identifier.

[0189] Optionally, the network device sends first configuration information to the terminal. The first configuration information includes at least one RACH resource configuration and corresponding indication information. The indication information indicates whether random access corresponding to different access categories or access identifiers can use the at least one RACH resource. The access category or access identifier includes at least one first AI feature or an access category or access identifier associated with at least one combination of first AI features. For example, different fields in the indication information may correspond to different access categories, and different values ​​of the fields may be used to indicate whether the at least one RACH resource configuration is applicable to the access category corresponding to the field; or, different fields may correspond to different access identifiers, and different values ​​of the fields may be used to indicate whether the at least one RACH resource configuration is applicable to the access identifier corresponding to the field. Optionally, a field value of a first value may indicate that the at least one RACH resource configuration is applicable to the access category or access identifier corresponding to the field, and a field value of a second value may indicate that the at least one RACH resource configuration is not applicable to the access category or access identifier corresponding to the field. For example, the first value may be 1, and the second value may be other values, but is not limited to these.

[0190] Optionally, when configuring RACH resource configuration associated with at least one first AI feature or at least one combination of first AI features using implicit configuration, the terminal AS layer only needs to know the access category or access identifier associated with the terminal's AI feature or combination of AI features (i.e., the second AI feature or combination of second AI features, which will be detailed below and will not be repeated here), and determine the applicable RACH resource configuration based on the access category or access identifier, without being aware of the specific AI feature or combination of AI features.

[0191] In some embodiments, the RACH resource configuration associated with at least one first AI feature or at least one combination of first AI features is configured using an explicit configuration method. This means that the RACH resource configuration associated with at least one first AI feature or at least one combination of first AI features can be configured explicitly. For example, an explicit configuration of the RACH resource configuration associated with at least one first AI feature or at least one combination of first AI features can be implemented through a RACH resource list, which may include at least one first AI feature or at least one combination of first AI features and its associated RACH resource configuration. Optionally, each first AI feature or combination of first AI features may be associated with a different RA priority parameter configuration, or different first AI features or combinations of first AI features may be associated with the same RA priority parameter configuration; this disclosure does not limit this approach.

[0192] Optionally, when the RACH resource configuration associated with at least one first AI feature or at least one combination of first AI features is configured in an explicit manner, the terminal AS layer needs to be aware of the specific first AI feature or combination of first AI features so that it can determine the associated RACH resource configuration based on the terminal's AI feature or combination of AI features (i.e., the second AI feature or combination of second AI features, which will be detailed below and will not be repeated here), and initiate random access based on the configuration.

[0193] In some embodiments, the RACH resource configuration and RA priority parameter configuration associated with at least one first AI feature or at least one combination of first AI features can be used independently, or the RACH resource configuration and RA priority parameter configuration associated with at least one first AI feature or at least one combination of first AI features can be used in combination.

[0194] In some embodiments, the RACH resource configuration and RA priority parameter configuration associated with at least one first AI feature or at least one combination of first AI features are used independently. That is, even if the terminal does not select the RACH resource configuration associated with at least one first AI feature or at least one combination of first AI features for random access, the RA priority parameter configuration associated with at least one first AI feature or at least one combination of first AI features can still be applied to the current random access procedure.

[0195] In some embodiments, the RACH resource configuration and RA priority parameter configuration associated with at least one first AI feature or at least one combination of first AI features are used together. That is, the RA priority parameter configuration associated with at least one first AI feature or at least one combination of first AI features can only be applied to the current random access procedure when the terminal selects the RACH resource configuration associated with at least one first AI feature or at least one combination of first AI features for random access.

[0196] In some embodiments, the RA priority parameter configuration associated with at least one first AI feature or a combination of at least one first AI feature can be used to configure a variety of RA priority parameters. For example, it can be used to configure any one of the following RA priority parameters: powerRampingStepHighPriority, scalingFactorBI, and contention resolution timer duration (ra-ContentionResolutionTimer / msgB-ResponseWindow), but is not limited thereto.

[0197] In some embodiments, RACH resource configuration includes at least one of the following: Physical Random Access Channel (PRACH) configuration, Reference Signal Received Power (RSRP) threshold configuration, preamble selection configuration for Group A or Group B, and Physical Uplink Shared Channel (PUSCH) resource configuration for a two-step random access procedure (i.e., separateMsgA-PUSCH-Config). RACH resource configuration associated with at least one first AI feature or a combination of at least one first AI feature may include at least one of the above-described RACH resource configurations.

[0198] In some embodiments, each RACH resource configuration is associated with at least one first AI feature or a combination of at least one first AI feature.

[0199] In some embodiments, terms such as "physical uplink shared channel (PUSCH)" and "UL data" can be used interchangeably, as can terms such as "physical downlink shared channel (PDSCH)" and "DL data".

[0200] In some embodiments, PRACH resource configuration includes Random Access Occasion (RO) configuration and / or preamble configuration. That is, PRACH resource configuration associated with at least one first AI feature or at least one combination of first AI features includes RO configuration associated with at least one first AI feature or at least one combination of first AI features, and / or, PRACH resource configuration associated with at least one first AI feature or at least one combination of first AI features includes preamble configuration associated with at least one first AI feature or at least one combination of first AI features.

[0201] In some embodiments, the RO configuration associated with at least one first AI feature or at least one combination of first AI features may include an independent RO configuration or a shared RO configuration shared with other RA configurations.

[0202] In some embodiments, the RO configuration associated with at least one first AI feature or at least one combination of first AI features includes a shared RO configuration shared with other RA configurations, and the terminal can determine the PRACH resource associated with at least one first AI feature or at least one combination of first AI features based on the preamble configuration associated with at least one first AI feature or at least one combination of first AI features.

[0203] In some embodiments, the preamble configuration associated with at least one first AI feature or at least one combination of first AI features can be used to configure the preamble start position and / or the number of preambles, but is not limited thereto.

[0204] Optionally, the RO configuration associated with at least one first AI feature or a combination of at least one first AI feature includes a shared RO configuration shared with other RA configurations. If the RO is shared with an RA configuration that the terminal does not support (i.e. cannot read), the preamble configuration includes the preamble start position and the number of preambles for the terminal to determine the available preambles.

[0205] Optionally, the RO configuration associated with at least one first AI feature or at least one combination of first AI features includes a shared RO configuration shared with other RA configurations. If the RO is shared with an RA configuration supported by the terminal (i.e., readable), the preamble configuration may or may not include the preamble start position; that is, the preamble configuration may only include the number of preambles, or it may include both the preamble start position and the number of preambles. Optionally, the preamble configuration may not include the number of preambles. The terminal may determine the preamble start position based on first information, which is used to indicate the priority order of AI features or combinations of AI features, or the first information is used to indicate the order of preamble resources of shared ROs associated with AI features or combinations of AI features as agreed in the protocol, but is not limited to these.

[0206] In some embodiments, the RSRP threshold associated with at least one first AI feature or a combination of at least one first AI feature can be used for RA type selection, Synchronization Signal Block (SSB) selection, Channel State Information Reference Signal (CSI-RS) selection, etc., but is not limited thereto.

[0207] That is, the RSRP threshold configuration associated with at least one first AI feature or at least one combination of first AI features may include, but is not limited to, at least one of the following: RSRP threshold for RA type selection (i.e., msgA-RSRP-Threshold), RSRP threshold for SSB selection (e.g., rsrp-ThresholdSSB, msgA-RSRP-ThresholdSSB), and RSRP threshold for CSI-RS selection (i.e., rsrp-ThresholdCSI-RS).

[0208] In some embodiments, the terms "synchronization signal block (SSB)," "synchronization signal (SS)," "reference signal (RS)," "pilot," and "pilot signal" can be used interchangeably.

[0209] In some embodiments, the RSRP threshold for RA type selection can be used to select the RA type when both a 2-step RA configuration and a 4-step RA configuration are configured simultaneously with at least one first AI feature or a combination of at least one first AI feature.

[0210] In some embodiments, the preamble selection configuration for Group A or Group B can be used to configure at least one of the following: the number of preambles, the transport block (TB) size threshold for preamble selection, and the power offset for preamble selection.

[0211] Optionally, if the RA configuration associated with at least one first AI feature or at least one combination of first AI features does not contain any of the above-mentioned configuration parameters, the terminal may perform random access based on the configuration parameters in the traditional (legacy) RA configuration; or, the terminal may perform random access based on the configuration parameters in the RA configuration of a shared RO; or, the terminal may perform random access based on the configuration parameters in the RA configuration agreed upon by other protocols; or, the terminal may perform random access based on the configuration parameters in the RA configuration specified by the network device, but is not limited thereto.

[0212] In some embodiments, AI features include at least one of AI capability features, AI capability sharing features, AI service features, AI use case features, and AI resource features. Correspondingly, combinations of AI features include combinations of multiple AI capability features, combinations of multiple AI capability sharing features, combinations of multiple AI service features, combinations of multiple AI use case features, combinations of multiple AI resource features, and combinations of at least two of the above five AI features, etc.

[0213] In some embodiments, AI capability characteristics are used to indicate whether the terminal has AI capabilities, and / or, AI capability characteristics are used to indicate whether the terminal has AI needs.

[0214] Optionally, if the terminal has AI capabilities or needs AI, random access can be performed based on an RA configuration associated with at least one AI feature or a combination of AI features.

[0215] Optionally, AI capabilities may include at least one of the following: AI resources, AI services, and AI use cases that the terminal can provide.

[0216] Optionally, AI requirements may include at least one of the following: AI resources, AI services, and AI use cases required by the end user.

[0217] In some embodiments, the AI ​​capability sharing feature is used to indicate the AI ​​capability sharing mode supported by the terminal, and / or, the AI ​​capability sharing feature is used to indicate the AI ​​capability sharing mode required by the terminal.

[0218] In some embodiments, the AI ​​capability sharing mode includes at least one of the following, but is not limited to: terminal sharing AI capability with network device (that is, terminal sharing its own AI capability with network device), network device sharing AI capability with terminal (that is, network device sharing its own AI capability with terminal), and terminal sharing AI capability (that is, one terminal sharing its own AI capability with another terminal).

[0219] Optionally, the sharing of AI capabilities between terminals can be achieved through the control of network devices, or it can be achieved by the terminals themselves without relying on the control of network devices.

[0220] Optionally, if the terminal supports AI capability sharing or has a need for AI capability sharing, random access can be performed based on the RA configuration associated with the AI ​​capability sharing mode.

[0221] Optionally, the AI ​​capability sharing mode can be used directly as an AI feature, or a specific AI capability sharing mode can be used as an AI feature. Different AI capability sharing modes correspond to different AI features.

[0222] In some embodiments, AI service characteristics are used to indicate the types of AI services supported by the terminal, and / or, AI service characteristics are used to indicate the types of AI services required by the terminal.

[0223] In some embodiments, the AI ​​service type includes at least one of AI model training service, AI model inference service, AI model verification service, and AI model data service, but is not limited thereto.

[0224] The AI ​​model training service can be used to train AI models using data, enabling them to perform AI processing tasks (including but not limited to recognition, prediction, and classification). The AI ​​model inference service can be used to instruct the process of using the AI ​​model to perform actual AI task processing after the AI ​​model has been trained. The AI ​​model validation service can be used to evaluate the trained AI model to ensure that the performance of the trained AI model meets expectations. The AI ​​model data service can provide data management and processing for training, validation, and inference.

[0225] Optionally, if the terminal supports providing AI services or has a need for AI services, random access can be performed based on the RA configuration associated with the AI ​​service.

[0226] Optionally, AI service can be used as a feature, or a specific AI service can be used as a feature. Different types of AI services correspond to different AI features.

[0227] In some embodiments, AI use case characteristics are used to indicate the types of AI use cases supported by the terminal, and / or, AI use case characteristics are used to indicate the types of AI use cases required by the terminal.

[0228] In some embodiments, AI use case types include, but are not limited to, AI-based positioning use cases and / or AI-based beam management use cases.

[0229] Optionally, if the terminal supports providing AI use cases or has a need for AI use cases, random access can be performed based on the RA configuration associated with the AI ​​use cases.

[0230] Optionally, AI use cases can be used as a feature, or specific AI use cases can be used as AI features. Different types of AI use cases correspond to different AI features.

[0231] In some embodiments, AI resource characteristics are used to indicate the types of AI resources supported by the terminal, and / or, AI resource characteristics are used to indicate the types of AI resources required by the terminal.

[0232] In some embodiments, AI resource types include at least one of AI computing power resources, AI algorithm resources (i.e., AI model resources), AI data resources, and AI connectivity resources, but are not limited thereto.

[0233] Optionally, if the terminal supports providing AI resources or has a need for AI resources, random access can be performed based on the RA configuration associated with the AI ​​resources.

[0234] Optionally, AI resources can be used directly as an AI feature, or specific AI resources can be used as AI features. Different types of AI resources correspond to different AI features.

[0235] Step S2103: The terminal performs random access based on the first configuration information.

[0236] In some embodiments, the terminal may determine at least one second AI feature or at least one combination of second AI features, wherein the at least one second AI feature or at least one combination of second AI features is an AI feature or AI feature combination applicable to the current random access procedure. That is, the terminal may determine at least one second AI feature or at least one combination of second AI features applicable to the current random access procedure.

[0237] In some embodiments, at least one second AI feature or at least one combination of second AI features is determined based on at least one third AI feature or at least one combination of third AI features, wherein the at least one third AI feature or at least one combination of third AI features is the AI ​​feature or AI feature combination that triggers the current random access procedure. That is, the terminal can determine at least one second AI feature or at least one combination of AI features based on at least one third AI feature or at least one combination of third AI features that triggers the current random access procedure.

[0238] In some embodiments, at least one second AI feature or at least one combination of second AI features may be determined by the Medium Access Control (MAC) layer for the current random access procedure.

[0239] In some embodiments, the terminal may determine at least one second AI feature or at least one combination of second AI features applicable to the current random access procedure, based on the instructions of the first protocol stack layer.

[0240] In some embodiments, the first protocol stack layer may be a higher layer, such as a protocol stack layer including the MAC layer or higher. For example, the first protocol stack may be the Radio Resource Control (RRC) layer or the Non-Access Stratum (NAS) layer, but is not limited thereto; or, the first protocol stack layer may be a lower layer, such as a protocol stack layer including the MAC layer or lower. For example, the first protocol stack layer may be the Physical (PHY) layer, but is not limited thereto.

[0241] In some embodiments, the terminal may determine at least one third AI feature or at least one combination of third AI features applicable to the current random access procedure as at least one second AI feature or at least one combination of second AI features applicable to the current random access procedure.

[0242] In some embodiments, the terminal may determine at least one second AI feature or at least one combination of second AI features from at least one third AI feature or at least one combination of third AI features based on its own implementation.

[0243] Optionally, there may be multiple third AI features that trigger the current random access procedure, and the terminal may select the N third AI features with the highest priority as the second AI features applicable to the current random access procedure.

[0244] Wherein, N can be any value, for example, N can be 1 or any other value. The present disclosure does not limit the value of N.

[0245] Optionally, the value of N can be agreed upon by the protocol, or the value of N can be configured by the network device for the terminal.

[0246] Optionally, there may be multiple third AI feature combinations that trigger the current random access procedure. The terminal may select the M highest priority third AI feature combinations as the second AI feature combinations applicable to the current random access procedure.

[0247] Wherein, M can take any value, for example, M can be 1 or any other arbitrary value, and the present disclosure does not limit the value of M.

[0248] Optionally, the M value can be a value agreed upon by the protocol, or the M value can be a value configured by the network device for the terminal.

[0249] Optionally, the terminal can, based on its own implementation, select a third AI feature or a combination of third AI features that meets the priority information requirements as the second AI feature or a combination of second AI features applicable to the current random access procedure. The priority information can be used to determine the priority order between different AI features and between different combinations of AI features, but is not limited to these. Optionally, the priority information can be protocol-defined, or it can be configured by the network device for the terminal, but is not limited to these.

[0250] In some embodiments, the terminal may determine at least one second AI feature or at least one combination of second AI features from at least one third AI feature or at least one combination of third AI features based on instructions from the network device.

[0251] Optionally, the first configuration information can be used as an instruction for the network device so that the terminal can select from the third AI feature or the third AI feature combination based on the first AI feature or the first AI feature combination included in the first configuration information, so as to select the third AI feature or the third AI feature combination existing in the first configuration information as the second AI feature or the second AI feature combination applicable to the current random access procedure.

[0252] It should be noted that the third AI feature and its combination are determined by the terminal based on its own circumstances, while the second AI feature and its combination are configured by the network device for the terminal. The third AI feature can be the same as or different from the second AI feature, and the combination of third AI features can also be the same as or different from the combination of second AI features. Furthermore, the second AI feature and its combination can be determined considering the first AI feature and its combination configured by the network device, or it can be determined without considering the first AI feature and its combination configured by the network device. Therefore, the second AI feature and its combination can be the same as or different from the first AI feature.

[0253] In some embodiments, if at least one second AI feature or at least one combination of second AI features includes the first AI feature or combination of first AI features associated with the RA configuration included in the first configuration information, the terminal can perform random access based on the first configuration information.

[0254] In some embodiments, at least one second AI feature or at least one combination of second AI features does not include the first AI feature or combination of first AI features associated with the RA configuration included in the first configuration information, and the terminal performs random access based on the traditional RA configuration.

[0255] In some embodiments, if at least one second AI feature or at least one combination of second AI features includes the first AI feature or combination of first AI features associated with the RA configuration included in the first configuration information, the terminal can consider that the RA configuration is applicable to the current random access procedure.

[0256] In some embodiments, if at least one second AI feature or at least one combination of second AI features does not include the first AI feature or combination of first AI features associated with the RA configuration included in the first configuration information, the terminal may consider that the RA configuration is not applicable to the current random access procedure.

[0257] In some embodiments, at least one second AI feature or at least one combination of second AI features does not include the first AI feature or combination of first AI features associated with any RA configuration included in the first configuration information. The terminal may perform random access based on the traditional RA configuration, or consider performing random access based on other terminal features.

[0258] In some embodiments, the second AI feature may be an AI feature supported by the terminal, and the second AI feature combination may be a combination of AI features supported by the terminal; or, the second AI feature may be an AI feature required by the terminal, and the second AI feature combination may be a combination of AI features required by the terminal.

[0259] In other words, if the AI ​​features or combinations of AI features supported by the terminal include AI features or combinations of AI features associated with the RA configuration included in the first configuration information, the terminal can perform the step of random access based on the first configuration information. Alternatively, if the AI ​​features or combinations of AI features required by the terminal include AI features or combinations of AI features associated with the RA configuration included in the first configuration information, the terminal can perform the step of random access based on the first configuration information.

[0260] In other words, if a network device is configured with an AI feature or a combination of AI features corresponding to an RA configuration, the terminal needs to support the AI ​​feature or combination of AI features corresponding to the RA configuration configured by the network device. Alternatively, if the terminal has a requirement for the AI ​​feature or combination of AI features corresponding to the RA configuration configured by the network device, the terminal can use the RA configuration (i.e., the first configuration information) configured by the network device for random access.

[0261] It should be noted that the AI ​​features or combinations of AI features required by the terminal refer to the AI ​​features or combinations of AI features that the terminal needs to provide from network devices or other terminal devices.

[0262] For example, for an RA configuration included in the first configuration information, the associated AI features are AI feature 1 and AI feature 2. If the AI ​​features supported or required by the terminal are also AI feature 1 and AI feature 2, then the terminal can perform random access based on the first configuration information. If the AI ​​features supported or required by the terminal are AI feature 1, AI feature 2, and AI feature 3, then the terminal can perform random access based on the first configuration information. If the AI ​​features supported or required by the terminal are only AI feature 1 or AI feature 2, then the terminal cannot perform random access based on the first configuration information.

[0263] In some embodiments, the terminal may select an RA configuration applicable to the current random access procedure based on first configuration information and an AI feature or combination of AI features (i.e., at least one second AI feature or combination of at least one second AI feature) applicable to the current random access procedure.

[0264] In some embodiments, if at least one second AI feature or at least one combination of second AI features applicable to the current random access procedure includes all first AI features or all combinations of first AI features associated with the RA configuration included in the first configuration information, then the RA configuration included in the first configuration information is considered applicable to the current random access procedure. For example, if the second AI features applicable to the current random access are AI feature 1, AI feature 2, and AI feature 3, and the first AI features associated with the RA configuration included in the first configuration information are AI feature 1 and AI feature 2, then it can be determined that the second AI features applicable to the current random access procedure include all first AI features associated with the RA configuration included in the first configuration information, thereby determining that the RA configuration included in the first configuration information is applicable to the current random access procedure.

[0265] In some embodiments, if at least one second AI feature or at least one combination of AI features applicable to the current random access procedure does not include the first AI feature or combination of first AI features associated with the RA configuration included in the first configuration information, then the RA configuration included in the first configuration information is considered not applicable to the current random access procedure. For example, if the second AI features applicable to the current random access are AI feature 1 and AI feature 2, and the first AI features associated with the RA configuration included in the first configuration information are AI feature 1, AI feature 2, and AI feature 3, then it can be determined that the second AI features applicable to the current random access procedure do not include all the first AI features associated with the RA configuration included in the first configuration information, thereby determining that the RA configuration included in the first configuration information is not applicable to the current random access procedure.

[0266] In some embodiments, the terminal may select an uplink (UL) between a supplementary uplink (SUL) and a normal uplink (NUL) based on first configuration information and an AI feature or combination of AI features applicable to the current random access procedure (i.e., at least one second AI feature or combination of at least one second AI feature).

[0267] In some embodiments, the terms "uplink", "uplink", and "physical uplink" can be used interchangeably, as can the terms "downlink", "downlink", and "physical downlink", as well as the terms "sidelink", "sidelink", "sidelink communication", "sidelink communication", "direct connection", "direct link", "direct communication", and "direct link communication".

[0268] Optionally, SUL or NUL can be selected based on the availability of the RA configuration.

[0269] Optionally, the network device can configure different RA configurations for SUL and NUL. The terminal can determine whether the available RA configurations on SUL and NUL include the RA configuration associated with at least one second AI feature or at least one combination of second AI features applicable to the current random access procedure, based on the first configuration information and at least one second AI feature applicable to the current random access procedure, thereby enabling uplink selection in SUL and NUL.

[0270] Optionally, SUL or NUL can be selected based on the RSRP threshold.

[0271] Optionally, the network device can configure different RSRP thresholds for SUL and NUL selection for different AI features or combinations of AI features. The terminal can determine at least one second AI feature or at least one combination of second AI features applicable to the current random access procedure, and perform uplink selection in SUL and NUL based on the RSRP threshold corresponding to the determined at least one second AI feature or at least one combination of second AI features.

[0272] The RSRP threshold can be a traditional, general threshold, or a threshold configured for different AI features or combinations of AI features.

[0273] In some embodiments, the terminal may perform a bandwidth part (BWP) selection based on first configuration information and an AI feature or combination of AI features applicable to the current random access procedure (i.e., at least one second AI feature or combination of at least one second AI feature).

[0274] Optionally, BWP selection can also be performed based on the availability of the RA configuration.

[0275] Optionally, the network device can configure different RA configurations for different BWPs. The terminal can determine whether the available RA configurations on different BWPs include the RA configuration associated with at least one second AI feature or at least one combination of second AI features applicable to the current random access procedure, based on the first configuration information and at least one second AI feature applicable to the current random access procedure, thereby enabling the selection of BWPs.

[0276] The above embodiments describe different implementation methods for random access based on the first configuration information, so that random access based on the first configuration information can be implemented in each step of the random access process. However, it should be noted that when implementing each step of the random access process, AI features or combinations of AI features may not be considered. That is, each step of the random access process may not be implemented based on the first configuration information. For example, random access may be implemented based on the first configuration information only in one or a few steps of the random access process, while the remaining random access steps can be implemented using traditional random access methods.

[0277] In some embodiments, there is only one RA configuration applicable to the current random access procedure, and the terminal can perform random access based on this RA configuration. That is, if only one RA configuration is applicable to the current random access procedure, the terminal can directly perform random access based on this RA configuration.

[0278] For example, if there exists an RA configuration that satisfies all the AI ​​features of a terminal, then the terminal can perform random access based on that RA configuration.

[0279] In some embodiments, there are multiple RA configurations applicable to the current random access procedure, and the terminal can select one RA configuration from the multiple RA configurations applicable to the current random access procedure to perform random access based on the selected RA configuration.

[0280] In some embodiments, when selecting an RA configuration from among multiple RA configurations applicable to the current random access procedure, the terminal may perform the RA configuration selection based on a protocol agreement, or the terminal may perform the RA configuration selection based on an instruction from the network device, or the terminal may perform the RA configuration selection according to its own implementation.

[0281] In some embodiments, if multiple RA configurations applicable to the current random access procedure are associated with AI features or combinations of AI features, the terminal can select the RA configuration based on the priority information of different AI features or combinations of AI features. For example, the terminal can preferentially select the RA configuration associated with a higher priority AI feature or combination of AI features. The priority information of different AI features or combinations of AI features can be agreed upon by a protocol or determined according to instructions from the network device.

[0282] In some embodiments, if multiple RA configurations applicable to the current random access procedure are associated with non-AI features, the terminal can select the RA configuration based on priority information among the different non-AI features. For example, the terminal can preferentially select the RA configuration associated with a higher-priority non-AI feature. The priority information among the different non-AI features can be agreed upon by a protocol or determined according to instructions from the network device.

[0283] In some embodiments, if the multiple RA configurations applicable to the current random access procedure include multiple RA configurations associated with AI features or combinations of AI features, and the multiple RA configurations applicable to the current random access procedure include multiple RA configurations associated with non-AI features, then the terminal can select the RA configuration based on priority information between different AI features or combinations of different AI features, priority information between AI features and non-AI features, and priority information between different non-AI features. The priority information between different AI features or combinations of different AI features, priority information between AI features and non-AI features, and priority information between different non-AI features can be determined by protocol agreement or according to instructions from the network device.

[0284] In some embodiments, if there are multiple RA configurations applicable to the current random access procedure, the terminal can select an RA configuration based on the priority information of different RA configurations. The priority information of different RA configurations can be agreed upon by a protocol or determined according to instructions from the network device.

[0285] In some embodiments, if there are multiple RA configurations applicable to the current random access procedure, and different RA configurations apply to different service types, the terminal can select the RA configuration based on the priority information of the service types applicable to different RA configurations. The priority information of different service types can be agreed upon by a protocol or determined according to instructions from the network device.

[0286] In some embodiments, when the terminal performs RA configuration selection based on protocol agreements, if the RA configuration is associated with an AI feature or a combination of AI features, priority information for different AI features or combinations of AI features can be agreed upon in the protocol, so that the terminal can select the RA configuration based on the priority information agreed upon in the protocol. For example, the terminal can preferentially select the RA configuration associated with a high-priority AI feature or combination of AI features.

[0287] In some embodiments, when the terminal performs RA configuration selection based on protocol agreements, if the RA configuration is associated with non-AI features, different priority information for non-AI features can be agreed upon in the protocol so that the terminal can select the RA configuration based on the priority information agreed upon in the protocol. For example, the terminal can preferentially select the RA configuration associated with a high-priority non-AI feature.

[0288] In some embodiments, when the terminal performs RA configuration selection based on protocol agreements, if the RA configuration is associated with non-AI features in addition to AI features, then the protocol can specify not only the priority information between AI features and non-AI features, but also the priority information between different AI features or combinations of different AI features, and the priority information for different AI features and different non-AI features. This allows the terminal to select the RA configuration based on the priority information agreed upon in the protocol. For example, the terminal can preferentially select the RA configuration associated with a high-priority feature. If the high-priority feature is an AI feature and there are multiple AI features or combinations of AI features, then the terminal can preferentially select the RA configuration associated with the high-priority AI feature or combination of AI features. If the high-priority feature is a non-AI feature and there are multiple non-AI features, then the terminal can preferentially select the RA configuration associated with the high-priority non-AI feature.

[0289] In some embodiments, when the terminal performs RA configuration selection based on the protocol agreement, priority information between different RA configurations can also be directly agreed in the protocol so that the terminal can select the RA configuration based on the priority information agreed in the protocol. For example, the terminal can preferentially select the high-priority RA configuration for random access.

[0290] In some embodiments, when the terminal performs RA configuration selection based on protocol agreements, different RA configurations can be applied to different communication services. Furthermore, each communication service can be configured with a specific RA configuration. Therefore, priority information between the service types applicable to different RA configurations can be directly agreed upon in the protocol, allowing the terminal to select the RA configuration based on the agreed priority information. For example, the terminal can preferentially select the RA configuration applicable to high-priority service types for random access. Optionally, service types may include Multimedia Priority Service (MPS), Mission Critical Services (MCS), Network Slice AS Group (NSAG), etc., but are not limited to these.

[0291] In some embodiments, the terminal performs RA configuration selection based on the instructions of the network device. The network device may send first instruction information to the terminal, and the terminal may receive the first instruction information sent by the network device so that the terminal may perform RA configuration selection among multiple RA configurations applicable to the current random access procedure under the instruction of the first instruction information.

[0292] In some embodiments, when a terminal performs RA configuration selection according to the instruction of the first indication information, if multiple RA configurations applicable to the current random access procedure are associated with AI features or combinations of AI features, the network device can indicate priority information of different AI features or combinations of AI features through the first indication information, so that the terminal can select the RA configuration based on the priority information indicated by the network device. For example, the terminal can preferentially select the RA configuration associated with a higher priority AI feature or combination of AI features.

[0293] In some embodiments, when a terminal performs RA configuration selection according to the instruction of the first indication information, if multiple RA configurations applicable to the current random access procedure are associated with non-AI features, the network device can indicate the priority information of different non-AI features through the first indication information, so that the terminal can select the RA configuration based on the priority information indicated by the network device. For example, the terminal can preferentially select the RA configuration associated with a high-priority non-AI feature.

[0294] In some embodiments, when a terminal performs RA configuration selection according to the instruction of the first instruction information, if multiple RA configurations applicable to the current random access procedure are associated with non-AI features in addition to AI features, the network device can indicate priority information between AI features and non-AI features through the first instruction information, as well as priority information between different AI features or combinations of different AI features, and priority information for different AI features and different non-AI features, so that the terminal can select the RA configuration based on the priority information indicated by the network device. For example, the terminal can preferentially select the RA configuration associated with a high-priority feature. If the high-priority feature is an AI feature and there are multiple AI features or combinations of AI features, the terminal can preferentially select the RA configuration associated with the high-priority AI feature or combination of AI features. If the high-priority feature is a non-AI feature and there are multiple non-AI features, the terminal can preferentially select the RA configuration associated with the high-priority non-AI feature.

[0295] In some embodiments, when a terminal performs RA configuration selection according to the instruction of the first instruction information, the network device can indicate an override indication through the first instruction information to indicate the priority relationship or override relationship between multiple RA configurations. Then, the terminal can select the RA configuration with higher priority or that can override other RA configurations according to the instruction of the network device.

[0296] In some embodiments, different RA configurations can be applied to different communication services, and each communication service can be configured with a specific RA configuration. Therefore, when the terminal performs RA configuration selection according to the instruction of the first instruction information, the network device can also indicate the priority relationship between different service types through the first instruction information. Then, the terminal can select the RA configuration applicable to the high-priority service according to the instruction of the network device. Optionally, the service type may include MPS, MCS, NSAG, etc., but is not limited to these.

[0297] It should be noted that the RA configuration mentioned in the above optional embodiments may include RACH resource configuration and / or RA priority parameter configuration. That is, the RA configuration selection method provided in the above embodiments can be used not only to select RACH resource configuration, but also to select RA priority parameter configuration.

[0298] Additionally, it should be noted that the AI ​​features or combinations of AI characteristics involved in the priority information mentioned in the above optional embodiments can be all possible AI features or combinations of AI characteristics, which may include at least one of a first AI feature or combination of first AI characteristics, a second AI feature or combination of second AI characteristics, and a third AI feature or combination of third AI characteristics. For example, for priority information configured by the network device for the terminal, the priority information mentioned in the above embodiments may be the priority information corresponding to the first AI feature or combination of first AI characteristics; for priority information on the terminal side (such as priority information agreed upon by the protocol), the priority information mentioned in the above embodiments may be the priority information corresponding to the second AI feature or combination of second AI characteristics, or the priority information mentioned in the above embodiments may be the priority information corresponding to the third AI feature or combination of third AI characteristics.

[0299] In some embodiments, the terminal performs RA configuration selection according to its own implementation. The RA configuration can be a RACH resource configuration. Specific RACH resource configurations can be configured for MPS, MCS, and NSAG. When multiple sets of RACH resource configurations are applicable to the current random access procedure, the terminal can determine which set of RACH resource configuration to use for random access based on its own implementation.

[0300] In some embodiments, the terminal performs RA configuration selection according to its own implementation. The RA configuration can be RA priority parameters. Specific RA priority parameters can be configured for MPS, MCS, and NSAG. When multiple sets of RA priority parameters are applicable to the current random access procedure, the terminal can determine which set of priority parameters to use for random access based on its own implementation.

[0301] In some embodiments, the terminal performs RA configuration selection according to its own implementation. The RA configuration may be a RACH resource configuration. The terminal may select the RACH resource configuration that supports the most AI features or combinations of AI features based on the number of AI features or combinations of AI features that each RACH resource configuration meets for random access.

[0302] In some embodiments, the terminal performs RA configuration selection according to its own implementation. The RA configuration may be RA priority parameter configuration. The terminal may select the RA priority parameter configuration that supports the most AI features or AI feature combinations based on the number of AI features or AI feature combinations that the terminal meets based on each RA priority parameter configuration.

[0303] In some embodiments, the terminal may also perform random access rollback if preset rollback conditions are met.

[0304] In some embodiments, the preset fallback conditions may include the number of random access attempts reaching the first count, and / or the preset fallback conditions may include a fallback instruction from the network device.

[0305] In some embodiments, the first number can be configured by the network device for the terminal. Optionally, the network device can configure different first numbers for different AI features or combinations of AI features, or the network device can configure a general first number.

[0306] In some embodiments, the preset fallback condition is that the network device indicates a fallback. The network device can send a second indication message to the terminal, which is used to instruct the terminal to perform a random access fallback. The terminal can receive the second indication message sent by the network device to perform a random access fallback under the instruction of the network device.

[0307] Optionally, the second indication information is used to instruct the terminal to roll back between random access procedures of different RA types; or, the second indication information is used to instruct the terminal to roll back between RA configurations associated with different AI features or combinations of AI features.

[0308] In some embodiments, the terminal can roll back between random access procedures of different RA types; or, the terminal can roll back between RA configurations associated with different AI features or combinations of AI features.

[0309] In some embodiments, the terminal can fall back between different types of random access procedures. For example, the terminal can fall back from 2-step random access to 4-step random access. The 2-step random access and 4-step random access can be associated with the same AI feature or a combination of AI features.

[0310] In some embodiments, the terminal can fall back between different types of random access procedures. For example, the terminal can fall back from 2-step random access to 4-step random access. 2-step random access and 4-step random access can be associated with different AI features or combinations of AI features.

[0311] In some embodiments, the terminal can roll back between RA configurations associated with different AI features or combinations of AI features. The terminal can roll back between RA configurations associated with different AI features or combinations of AI features according to the protocol.

[0312] Optionally, the terminal may determine the RA configuration associated with the fourth AI feature or the combination of fourth AI features according to the protocol. The fourth AI feature can be a secondary priority AI feature, and the combination of fourth AI features can be a combination of secondary priority AI features, but is not limited to these.

[0313] In some embodiments, the terminal may fall back between RA configurations associated with different AI features or combinations of AI features. The terminal may determine to fall back to the RA configuration associated with the fourth AI feature or combination of the fourth AI feature, based on the instructions of the network device.

[0314] Optionally, the network device may send third indication information to the terminal. This third indication information indicates to the terminal the RA configuration associated with the fourth AI feature or combination of fourth AI features to which it should fall back. The terminal may receive the third indication information sent by the network device to fall back to the RA configuration associated with the fourth AI feature or combination of fourth AI features as instructed by the third indication information. The fourth AI feature can be a secondary priority AI feature, and the combination of fourth AI features can be a combination of secondary priority AI features, but is not limited to these.

[0315] Optionally, the network device may send a third indication information to the terminal, which indicates a fourth AI feature or a combination of fourth AI features. The terminal may receive the third indication information sent by the network device to fall back to the RA configuration associated with the fourth AI feature or the combination of fourth AI features as indicated by the third indication information. The fourth AI feature may be a secondary priority AI feature, and the combination of fourth AI features may be a combination of secondary priority AI features, but is not limited to these.

[0316] In some embodiments, “get,” “obtain,” “receive,” “transmit,” “bidirectional transmission,” and “send and / or receive” can be used interchangeably and can be interpreted as receiving from other entities, obtaining from protocols, obtaining from higher layers, obtaining through self-processing, or autonomous implementation, among other meanings.

[0317] In some embodiments, terms such as “send,” “transmit,” “report,” “distribute,” “transfer,” “bidirectional transmission,” “send and / or receive” can be used interchangeably.

[0318] In some embodiments, terms such as "certain," "preset," "default," "set," "indicated," "a certain," "any," and "first" can be used interchangeably. "Certain A," "preset A," "default A," "set A," "indicated A," "a certain A," "any A," and "first A" can be interpreted as A pre-defined in a protocol or the like, or as A obtained through setting, configuration, or instruction, or as specific A, a certain A, any A, or first A, but are not limited thereto.

[0319] 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), or by a comparison of numerical values ​​(e.g., a comparison with a predetermined value), but is not limited thereto.

[0320] In some embodiments, "not expecting to receive" can be interpreted as not receiving on time domain resources and / or frequency domain resources, or as not performing subsequent processing on the data after receiving it; "not expecting to send" can be interpreted as not sending, or as sending but not expecting the receiver to respond to the sent content.

[0321] The random access method involved in the embodiments of this disclosure may include at least one of steps S2101 to S2103. For example, step S2102 may be implemented as an independent embodiment, step S2103 may be implemented as an independent embodiment, steps S2101+S2102 may be implemented as an independent embodiment, steps S2101+S2103 may be implemented as an independent embodiment, and steps S2102+S2103 may be implemented as an independent embodiment, but it is not limited thereto.

[0322] In some embodiments, steps S2101 and S2102 are optional, and one or more of these steps may be omitted or substituted in different embodiments.

[0323] In some embodiments, steps S2101 and S2103 are optional, and one or more of these steps may be omitted or substituted in different embodiments.

[0324] In some embodiments, other optional implementations described before or after the specification corresponding to FIG2 may be referred to.

[0325] According to the solution provided in the embodiments of this disclosure, the terminal (i.e., UE) receives first configuration information sent by a network device (such as a base station) and performs random access based on the first configuration information. The first configuration information includes random access RA configuration specific to AI features / feature combinations.

[0326] In some embodiments, the RA configuration specific to AI features / feature combinations includes at least one of the following: RACH resource configuration specific to AI features / feature combinations; RA priority parameter configuration specific to AI features / feature combinations.

[0327] Alternatively, an implicit configuration approach can be adopted, where the AS layer is unaware of specific AI features / feature combinations. New and different Access categories or Access identities are introduced for AI, and RA priority parameters specific to AI features / feature combinations can be configured for Access categories or Access identities.

[0328] For example, RA priority parameters specific to AI features / feature combinations can be configured implicitly as follows:

[0329] It should be noted that for RA priority parameters specific to AI features / feature combinations configured for Access categories or Access identities, the value of the field `ra-Prioritization-rxx` indicates whether the field `ra-Prioritization-rxx` applies to a certain access identity / access category. The leftmost bit corresponds to access identity / access category x, and the next bit corresponds to access identity / access category x+1. If the value is 1, it means that the field `ra-Prioritization-rxx` applies; otherwise, the field `ra-Prioritization-rxx` does not apply. Optionally, an explicit configuration method can be used, where the AS layer is aware of the specific AI feature / feature combination information, and the RA priority parameters specific to AI features / feature combinations can be configured for different AI features / feature combinations, using a list or similar format.

[0330] For example, RA priority parameters specific to AI features / feature combinations can be configured explicitly as follows:

[0331] It should be noted that ra-Prioritization-rxx is associated with one or more AI features or combinations of AI features in AIfeature-List-rxx, so ra-Prioritization-rxx can be configured to indicate the RA priority parameter configuration specific to the associated one or more AI features or combinations of AI features.

[0332] Optionally, the RACH resource configuration and RA priority parameter configuration for a specific AI can be used independently. That is, even if the UE does not select a RACH resource configuration specific to the AI ​​feature / feature combination to initiate random access, the RA priority parameter configuration specific to the AI ​​feature / feature combination can still be applied to the current random access procedure.

[0333] Optionally, the RACH resource configuration and RA priority parameter configuration for a specific AI can be used in combination. That is, the RA priority parameter configuration for a specific AI feature / feature combination can be applied to the current random access procedure only when the UE selects a RACH resource configuration specific to the AI ​​feature / feature combination to initiate random access.

[0334] In some embodiments, the RA priority parameters specific to AI features / feature combinations include at least one of the following: power ramping step high priority; scaling factor BI; and contention resolution timer duration ra-ContentionResolutionTimer / msgB-ResponseWindow.

[0335] In some embodiments, RACH resource configurations specific to AI features / feature combinations include at least one of the following:

[0336] (1) PRACH resource configurations specific to AI features / feature combinations, including RO configurations and / or Preamble configurations.

[0337] Optionally, the RO configuration can include an independent RO configuration or share an RO with other RA configurations. In the case of a shared RO, the UE can determine the PRACH resource specific to the AI ​​feature / feature combination based on the Preamble configuration, which includes the Preamble start position and / or the number of Preambles. It should be noted that if the RO is shared with an RA configuration that the terminal does not support and cannot read, the preamble needs to indicate the Preamble start position and the number of Preambles to determine the available Preambles. If the RO is shared with a readable RA configuration supported by the terminal, the Preamble configuration may or may not include the Preamble start position; the UE determines the Preamble start position based on feature priority order or a protocol-defined order.

[0338] (2) RSRP threshold configuration specific to AI features / feature combinations, wherein the RSRP threshold configuration includes at least one of the following:

[0339] A. RA type selection RSRP threshold configuration (msgA-RSRP-Threshold): RA configurations specific to AI features / feature combinations can include 2-step RA configurations and / or 4-step configurations. The RSRP threshold configuration is used to select the RA type when both 2-step and 4-step RA configurations specific to AI features / feature combinations are configured simultaneously.

[0340] B. SSB / CSI-RS selection threshold (rsrp-ThresholdSSB, msgA-RSRP-ThresholdSSB, rsrp-ThresholdCSI-RS).

[0341] (3) The preamble selection configuration of Group A / B includes at least one of the following: the number of preambles, the transmission TB size threshold configuration for preamble selection, and the power offset configuration for preamble selection.

[0342] (4) 2-step RACH PUSCH resource configuration (separateMsgA-PUSCH-Config).

[0343] Optionally, if the above configuration parameters are not configured in the RA configuration specific to AI features / feature combinations, the UE may perform random access based on the above configuration parameters in the legacy RA configuration, the shared RO RA configuration, other protocol agreements, or the RA configuration specified by the network side.

[0344] In some embodiments, random access based on the first configuration information includes at least one of the following:

[0345] (1) Determine the features applicable to the current random access. The features include, but are not limited to, AI features / feature combinations. The features can be indicated by the UE higher layer to the MAC layer or determined by the MAC layer itself. Optionally, if there are multiple AI features / feature combinations, at least one AI feature / feature combination can be determined for subsequent processes based on the UE implementation or feature priority.

[0346] Optionally, if multiple AI features / feature combinations are applicable to the current randomly accessed features, the UE can select the N AI features / feature combinations with the highest priority for subsequent processes. N can be 1 or other numbers, as agreed upon by the protocol or configured by the network.

[0347] (2) Determine the RA configuration applicable to the current random access procedure based on the UE's AI features / feature combinations and the first configuration information.

[0348] Optionally, the UE will consider the corresponding RA configuration as applicable only if the feature information in the first configuration information matches the UE features; otherwise, the RA configuration is not applicable to the current random access procedure.

[0349] (3) Perform SUL / NUL selection based on the UE's AI features / feature combinations. The SUL / NUL selection can be performed based on RSRP thresholds and / or RA configuration availability. The RSRP threshold can be a legacy common threshold, or different RSRP thresholds can be configured for different UE AI features / feature combinations.

[0350] Optionally, the network side can configure different SUL / NUL selection RSRP thresholds based on different UE AI features / feature combinations, and the UE determines the UE AI feature / feature combination and selects SUL / NUL based on the corresponding RSRP threshold.

[0351] Optionally, the RA configurations on the network side differ for SUL / NUL. The UE determines the UE AI features / feature combinations, and the UE decides whether to select SUL or NUL based on whether there is an available RA configuration on SUL / NUL. Further, optional selection is based on the RSRP threshold.

[0352] (4) Perform BWP selection based on the AI ​​features / feature combinations of the UE. The BWP selection can be performed based on RA configuration availability.

[0353] Optionally, the RA configurations on different BWPs may differ on the network side. The UE determines its AI features / feature combinations and decides whether to perform BWP selection based on whether an RA configuration is available on the BWP.

[0354] (5) If only one RA configuration in the first configuration information is applicable to the current random access procedure, then random access is performed based on the RA configuration. If multiple RA configurations in the first configuration information are applicable to the current random access procedure, then the UE may perform RA configuration selection based on protocol agreement, network indication, or its own implementation, and perform random access based on the selected RA configuration.

[0355] Optionally, if an applicable RA configuration satisfies all UE characteristics, then that RA configuration is selected; otherwise, the UE can select an RA configuration based on characteristic priority, which can be a protocol agreement or network configuration, prioritizing the RA configuration associated with higher priority characteristics. As another possible implementation, the UE can select the RA configuration supporting the most UE characteristics for random access based on the number of UE characteristics satisfied.

[0356] Optionally, the RA configuration specific to an AI feature / feature combination is the RA priority parameter for a specific AI. In the existing mechanism, specific RA priority parameters are configured for MPS, MCS access, and NSAG. When multiple features meet the conditions and specific RA priority parameters exist, the UE can determine which set of RA priority parameter configuration to use for random access based on its own implementation, or it can determine it based on the protocol agreement, prioritizing MPS / MCS, NSAG, or a certain RA priority parameter specific to an AI feature / feature combination for random access. Alternatively, the base station can configure an override indication to the UE, indicating the priority relationship or coverage relationship between multiple configurations, and the UE can select a set of RA priority parameter configuration for random access based on the configuration information.

[0357] Optionally, the RA configuration specific to AI features / feature combinations is a RACH resource configuration, which is associated with AI features / feature combinations. The AI ​​features / feature combinations can be one or more. If there are multiple AI features / feature combinations, the UE can select the RACH resource configuration associated with the feature with the higher priority / more number of features for random access based on the priority and / or number of features associated with the RA configuration.

[0358] In some embodiments, an RA configuration specific to an AI feature / feature combination is associated with at least one of the following features, and the base station indicates the feature and its associated RA configuration so that random access can be performed based on the RA configuration associated with the feature when the UE supports the AI ​​feature / feature combination or requires the AI ​​feature / feature combination:

[0359] (1) AI capability characteristics; that is, if the UE has AI capabilities or has AI needs, it can perform random access based on the RA configuration of associated AI characteristics / characteristic combinations.

[0360] (2) AI capability sharing feature. Further, the AI ​​capability sharing type can be UE sharing AI capabilities with NW, NW sharing AI capabilities with UE, or UEs sharing AI capabilities with each other (based on NW control). The feature can be indicated by the AI ​​capability sharing type. AI capabilities include at least one of the following: AI resources that can be provided, AI services, or AI use cases.

[0361] (3) AI service characteristics, further, the AI ​​service type includes at least one of AI model training, AI model inference, AI model verification, and AI model data, and the characteristics can be indicated by the AI ​​service type.

[0362] Optionally, if the UE supports providing AI services or has a need for AI services, random access can be performed based on the RA configuration associated with the AI ​​service. The AI ​​service can be a feature or a feature per AI service type.

[0363] (4) AI use case characteristics, further, the AI ​​use case type includes at least one of AI-based positioning, AI-based beam management, etc., and the characteristics can be indicated by the AI ​​use case type.

[0364] Optionally, if the UE supports providing AI use cases or has a requirement for AI use cases, random access can be performed based on the RA configuration associated with the AI ​​use case. The AI ​​use case can be a feature or a feature per AI use case type.

[0365] (5) AI resource characteristics, further, AI resource types include at least one of AI computing power resources, AI algorithm resources (AI models), AI data resources, AI connection resources, etc., and the characteristics can be indicated by the AI ​​resource type.

[0366] Optionally, if the UE supports providing AI resources or has a need for AI resources, random access can be performed based on the RA configuration associated with the AI ​​resources. The AI ​​resources can be a feature or a feature per AI resource type.

[0367] In some embodiments, random access further includes, during the random access process, performing a random access type rollback and resetting the target random access type if preset rollback conditions are met.

[0368] The preset fallback conditions include the number of random access attempts reaching a certain threshold or the network device indicating a fallback. The number of attempts threshold is indicated by the network configuration, which can be configured specifically for AI features / feature combinations or as a common configuration.

[0369] The fallback can be a fallback between RA types (fallback from 2-step RA to 4-step RA, where the 2-step RA and 4-step RA can be associated with the same AI feature / feature combination or feature combination), or a fallback between configurations associated with different AI features / feature combinations. The random access RA configuration for the fallback can be determined by protocol agreement (e.g., fallback to the RA configuration associated with the secondary priority AI feature / feature combination) or network indication.

[0370] In some embodiments, the terminal is a terminal that supports random access based on the first configuration information. The terminal can interact with network devices to exchange capability information, which indicates whether the terminal supports random access based on the first configuration information.

[0371] Figure 3A is a flowchart illustrating a random access method according to an embodiment of the present disclosure. As shown in Figure 3A, the present disclosure relates to a random access method, which includes:

[0372] Step S3101: Send capability information.

[0373] The optional implementation of step S3101 can be found in the optional implementation of step S2101 in Figure 2 and other related parts in the embodiments involved in Figure 2, which will not be repeated here.

[0374] In some embodiments, the terminal sends capability information to the network device, but is not limited thereto; it may also send capability information to other entities.

[0375] In some embodiments, capability information is used to indicate whether the terminal supports random access based on first configuration information.

[0376] Step S3102: Obtain the first configuration information.

[0377] The optional implementation of step S3102 can be found in the optional implementation of step S2102 in Figure 2 and other related parts in the embodiments involved in Figure 2, which will not be repeated here.

[0378] In some embodiments, the terminal receives first configuration information sent by a network device, but is not limited thereto; it may also receive first configuration information sent by other entities.

[0379] In some embodiments, the terminal obtains first configuration information defined by the protocol.

[0380] In some embodiments, the terminal obtains first configuration information from the upper layer(s).

[0381] In some embodiments, the terminal processes the information to obtain the first configuration information.

[0382] In some embodiments, step S3102 is omitted, and the terminal autonomously implements the function indicated by the first configuration information, or the above function is the default or default value.

[0383] In some embodiments, the first configuration information includes a random access RA configuration associated with at least one first AI feature or a combination of at least one first AI feature.

[0384] Step S3103: Perform random access based on the first configuration information.

[0385] The optional implementation of step S3103 can be found in the optional implementation of step S2103 in Figure 2 and other related parts in the embodiments involved in Figure 2, which will not be repeated here.

[0386] The random access method involved in the embodiments of this disclosure may include at least one of steps S3101 to S3103. For example, step S3102 may be implemented as an independent embodiment, step S3103 may be implemented as an independent embodiment, steps S3101+S3102 may be implemented as an independent embodiment, steps S3101+S3103 may be implemented as an independent embodiment, and steps S3102+S3103 may be implemented as an independent embodiment, but it is not limited thereto.

[0387] In some embodiments, steps S3101 and S3102 are optional, and one or more of these steps may be omitted or substituted in different embodiments.

[0388] In some embodiments, steps S3101 and S3103 are optional, and one or more of these steps may be omitted or substituted in different embodiments.

[0389] Figure 3B is a flowchart illustrating a random access method according to an embodiment of the present disclosure. As shown in Figure 3B, the present disclosure relates to a random access method, which includes:

[0390] Step S3201: Obtain capability information.

[0391] The optional implementation of step S3201 can be found in the optional implementation of step S2101 in Figure 2 and other related parts in the embodiments involved in Figure 2, which will not be repeated here.

[0392] In some embodiments, the network device receives capability information sent by a terminal, but is not limited thereto; it may also receive capability information sent by other entities.

[0393] In some embodiments, network devices acquire capability information defined by a protocol.

[0394] In some embodiments, network devices obtain capability information from upper layer(s).

[0395] In some embodiments, the network device processes information to obtain capability information.

[0396] In some embodiments, step S3201 is omitted, and the network device autonomously implements the function indicated by the capability information, or the above function is defaulted or set to default.

[0397] In some embodiments, capability information is used to indicate whether the terminal supports random access based on first configuration information.

[0398] Step S3202: Send the first configuration information.

[0399] The optional implementation of step S3202 can be found in the optional implementation of step S2102 in Figure 2 and other related parts in the embodiments involved in Figure 2, which will not be repeated here.

[0400] In some embodiments, the network device sends first configuration information to the terminal, but is not limited thereto; it may also send the first configuration information to other entities.

[0401] In some embodiments, the first configuration information includes a random access RA configuration associated with at least one first AI feature or a combination of at least one first AI feature.

[0402] In some embodiments, the first configuration information is used for the terminal to perform random access.

[0403] The random access method involved in the embodiments of this disclosure may include at least one of steps S3201 to S3202. For example, step S3202 may be implemented as a standalone embodiment, and steps S3201+S3202 may be implemented as standalone embodiments, but are not limited thereto.

[0404] In some embodiments, step S3201 is optional and may be omitted or replaced in different embodiments.

[0405] In this embodiment of the disclosure, step S3201 can be combined with step S3101 of FIG3A, and step S3202 can be combined with step S3102 of FIG3A.

[0406] In the embodiments disclosed herein, some or all of the steps and their optional implementations may be arbitrarily combined with some or all of the steps in other embodiments, or may be arbitrarily combined with the optional implementations in other embodiments.

[0407] This disclosure also provides an apparatus for implementing any of the above methods. For example, an apparatus is provided that includes units or modules for implementing the steps performed by the terminal in any of the above methods. Alternatively, another apparatus is provided that includes units or modules for implementing the steps performed by a network device (e.g., an access network device, a core network functional node, a core network device, etc.) in any of the above methods.

[0408] It should be understood that the division of units or modules in the above device is only a logical functional division. In actual implementation, they can be fully or partially integrated into a single physical entity, or they can be physically separated. Furthermore, the units or modules in the device can be implemented by a processor calling software: for example, the device includes a processor connected to a memory containing instructions. The processor calls the instructions stored in the memory to implement any of the above methods or to implement the functions of the units or modules in the above device. The processor can be, for example, a general-purpose processor, such as a Central Processing Unit (CPU) or a microprocessor, and the memory can be internal or external to the device. Alternatively, the units or modules in the device can be implemented in the form of hardware circuits. The functionality of some or all of the units or modules can be achieved through the design of these hardware circuits, which can be understood as one or more processors. For example, in one implementation, the hardware circuit is an application-specific integrated circuit (ASIC). The functionality of some or all of the units or modules is achieved through the design of the logical relationships between the components within the circuit. In another implementation, the hardware circuit can be implemented using a programmable logic device (PLD). Taking a field-programmable gate array (FPGA) as an example, it can include a large number of logic gates. The connection relationships between the logic gates are configured through configuration files, thereby achieving the functionality of some or all of the units or modules. All units or modules of the above device can be implemented entirely through processor-called software, entirely through hardware circuits, or partially through processor-called software with the remaining parts implemented through hardware circuits.

[0409] In this embodiment, the processor is a circuit with signal processing capabilities. In one implementation, the processor can be a circuit with instruction read and execute capabilities, such as a Central Processing Unit (CPU), a microprocessor, a graphics processing unit (GPU) (which can be understood as a microprocessor), or a digital signal processor (DSP). In another implementation, the processor can implement certain functions through the logical relationships of hardware circuits. The logical relationships of the aforementioned hardware circuits are fixed or reconfigurable. For example, the processor is a hardware circuit implemented using an application-specific integrated circuit (ASIC) or a programmable logic device (PLD), such as an FPGA. In a reconfigurable hardware circuit, the process of the processor loading a configuration document and configuring the hardware circuit can be understood as the process of the processor loading instructions to implement the functions of some or all of the above units or modules. Furthermore, 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), or a Deep Learning Processing Unit (DPU).

[0410] Figure 4A is a schematic diagram of the terminal structure proposed in an embodiment of this disclosure. As shown in Figure 4A, the terminal 4100 may include at least one of a transceiver module 4101, a processing module 4102, etc. In some embodiments, the transceiver module 4101 is configured to receive first configuration information sent by a network device, the first configuration information including a random access (RA) configuration associated with at least one first AI feature or a combination of at least one first AI feature; the processing module 4102 is configured to perform random access based on the first configuration information. Optionally, the transceiver module 4101 is used to perform at least one of the communication steps (e.g., steps S2101, S2102, but not limited thereto) performed by the terminal in any of the above methods, which will not be described in detail here. Optionally, the processing module 4102 is used to perform at least one of the other steps (e.g., step S2103, but not limited thereto) performed by the terminal in any of the above methods, which will not be described in detail here.

[0411] Figure 4B is a schematic diagram of the structure of a network device proposed in an embodiment of this disclosure. As shown in Figure 4B, the network device 4200 may include at least a transceiver module 4201. In some embodiments, the transceiver module 4201 is configured to send first configuration information to a terminal. The first configuration information includes a random access (RA) configuration associated with at least one first AI feature or a combination of at least one first AI feature. The first configuration information is also used by the terminal to perform random access. Optionally, the transceiver module 4201 is used to perform at least one of the communication steps (e.g., steps S2101, S2102, but not limited thereto) performed by the network device in any of the above methods. Further details are omitted here. In some embodiments, the network device 4200 may also include a processing module. Optionally, the processing module is used to perform at least one of the other steps performed by the network device in any of the above methods. Further details are omitted here.

[0412] In some embodiments, the transceiver module may include a transmitting module and / or a receiving module, which may be separate or integrated. Optionally, the transceiver module may be interchangeable with a transceiver.

[0413] In some embodiments, the processing module may be a single module or may include multiple sub-modules. Optionally, the multiple sub-modules may each perform all or part of the steps required by the processing module. Optionally, the processing module may be interchangeable with a processor.

[0414] Figure 5A is a schematic diagram of the structure of the communication device 5100 proposed in an embodiment of this disclosure. The communication device 5100 can be a network device (e.g., access network device, core network device, etc.), a terminal (e.g., user equipment, etc.), a chip, chip system, or processor that supports the network device in implementing any of the above methods, or a chip, chip system, or processor that supports the terminal in implementing any of the above methods. The communication device 5100 can be used to implement the methods described in the above method embodiments; for details, please refer to the descriptions in the above method embodiments.

[0415] As shown in Figure 5A, the communication device 5100 includes one or more processors 5101. The processor 5101 can be a general-purpose processor or a dedicated processor, such as a baseband processor or a central processing unit (CPU). The baseband processor can be used to process communication protocols and communication data, while the CPU can be used to control communication devices (e.g., base stations, baseband chips, terminal devices, terminal device chips, DUs or CUs, etc.), execute programs, and process program data. The communication device 5100 is used to execute any of the above methods.

[0416] In some embodiments, the communication device 5100 further includes one or more memories 5102 for storing instructions. Optionally, all or part of the memories 5102 may also be located outside the communication device 5100.

[0417] In some embodiments, the communication device 5100 further includes one or more transceivers 5103. When the communication device 5100 includes one or more transceivers 5103, the transceivers 5103 perform at least one of the communication steps such as sending and / or receiving in the above method (e.g., steps S2101, S2102, but not limited thereto), and the processor 5101 performs at least one of other steps (e.g., step S2103, but not limited thereto).

[0418] In some embodiments, a transceiver may include a receiver and / or a transmitter, which may be separate or integrated. Optionally, the terms transceiver, transceiver unit, transceiver, transceiver circuit, etc., may be used interchangeably; the terms transmitter, transmitting unit, transmitter, transmitting circuit, etc., may be used interchangeably; and the terms receiver, receiving unit, receiver, receiving circuit, etc., may be used interchangeably.

[0419] In some embodiments, the communication device 5100 may include one or more interface circuits 5104. Optionally, the interface circuit 5104 is connected to the memory 5102, and the interface circuit 5104 can be used to receive signals from the memory 5102 or other devices, and can be used to send signals to the memory 5102 or other devices. For example, the interface circuit 5104 can read instructions stored in the memory 5102 and send the instructions to the processor 5101.

[0420] The communication device 5100 described in the above embodiments may be a network device or a terminal, but the scope of the communication device 5100 described in this disclosure is not limited thereto, and the structure of the communication device 5100 may not be limited by FIG. 5A. The communication device may be a standalone device or a part of a larger device. For example, the communication device may be: (1) a standalone integrated circuit IC, or chip, or chip system or subsystem; (2) a collection of one or more ICs, optionally, the IC collection may also include storage components for storing data and programs; (3) an ASIC, such as a modem; (4) a module that can be embedded in other devices; (5) a receiver, terminal device, smart terminal device, cellular phone, wireless device, handheld device, mobile unit, vehicle device, network device, cloud device, artificial intelligence device, etc.; (6) others, etc.

[0421] Figure 5B is a schematic diagram of the structure of chip 5200 according to an embodiment of this disclosure. For cases where the communication device 5100 can be a chip or a chip system, please refer to the schematic diagram of chip 5200 shown in Figure 5B, but it is not limited thereto.

[0422] Chip 5200 includes one or more processors 5201, which are used to perform any of the above methods.

[0423] In some embodiments, chip 5200 further includes one or more interface circuits 5202. Optionally, the interface circuit 5202 is connected to memory 5203, and the interface circuit 5202 can be used to receive signals from memory 5203 or other devices, and the interface circuit 5202 can be used to send signals to memory 5203 or other devices. For example, the interface circuit 5202 can read instructions stored in memory 5203 and send the instructions to processor 5201.

[0424] In some embodiments, the interface circuit 5202 performs at least one of the communication steps such as sending and / or receiving in the above method (e.g., steps S2101, S2102, but not limited thereto), and the processor 5201 performs at least one of the other steps (e.g., step S2103, but not limited thereto).

[0425] In some embodiments, the terms interface circuit, interface, transceiver pin, transceiver, etc., can be used interchangeably.

[0426] In some embodiments, chip 5200 further includes one or more memories 5203 for storing instructions. Optionally, all or part of the memories 5203 may be located outside of chip 5200.

[0427] This disclosure also proposes a storage medium storing instructions that, when executed on the communication device 5100, cause the communication device 5100 to perform any of the above methods. Optionally, the storage medium is an electronic storage medium. Optionally, the storage medium is a computer-readable storage medium, but not limited thereto; it may also be a storage medium readable by other devices. Optionally, the storage medium may be a non-transitory storage medium, but not limited thereto; it may also be a temporary storage medium.

[0428] This disclosure also provides a program product that, when executed by the communication device 5100, causes the communication device 5100 to perform any of the above methods. Optionally, the program product is a computer program product.

[0429] This disclosure also proposes a computer program that, when run on a computer, causes the computer to perform any of the above methods.

[0430] Other embodiments of this disclosure will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This disclosure is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this disclosure are indicated by the following claims.

[0431] It should be understood that this disclosure is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this disclosure is limited only by the appended claims.

Claims

A random access method, characterized in that, Applied to a terminal, the method includes: Receive first configuration information sent by a network device, the first configuration information including random access (RA) configuration associated with at least one first artificial intelligence (AI) feature or a combination of at least one first AI feature; Random access is performed based on the first configuration information. The method according to claim 1, characterized in that, RA configuration includes at least one of the following: Random Access Channel (RACH) resource configuration; RA priority parameter configuration. The method according to claim 2, characterized in that, RA priority parameters include at least one of the following: Power ramp-up step size; Backscaling factor; Race resolution timer duration. The method according to claim 2 or 3, characterized in that, RACH resource configuration includes at least one of the following: Physical random access channel (PRACH) resource configuration; Reference signal received power (RSRP) threshold configuration; Preamble selection configuration for Group A or Group B; Physical uplink shared channel (PUSCH) resource configuration for two-step random access procedures. The method according to claim 4, characterized in that, PRACH resource configuration includes at least one of the following: Random access timing (RO) configuration; Preamble configuration. The method according to claim 4 or 5, characterized in that, The RSRP threshold is used for at least one of the following: RA type selection; Synchronization signal block (SSB) selection; Channel State Information Reference Signal (CSI-RS) Selection. The method according to any one of claims 4 to 6, characterized in that, Preamble selection configurations for Group A or Group B include at least one of the following: Preamble number configuration; Preamble selection transport block size threshold configuration; The power offset configuration selected by the preamble. The method according to any one of claims 1 to 7, characterized in that, The method further includes: Determine at least one second AI feature or at least one combination of second AI features, wherein the at least one second AI feature or at least one combination of second AI features is an AI feature or combination of AI features applicable to the current random access procedure. The method according to claim 8, characterized in that, The determination of at least one second AI feature or at least one combination of second AI features includes: Based on at least one third AI feature or at least one combination of third AI features, at least one second AI feature or at least one combination of second AI features is determined, and at least one third AI feature or at least one combination of third AI features is the AI ​​feature or AI feature combination that triggers the current random access procedure. The method according to claim 9, characterized in that, The determination of at least one second AI feature or at least one combination of second AI features based on at least one third AI feature or at least one combination of third AI features includes any one of the following: At least one third AI feature or at least one combination of third AI features is defined as at least one second AI feature or at least one combination of second AI features; Based on the terminal, at least one second AI feature or at least one combination of second AI features is determined from at least one third AI feature or at least one combination of third AI features; Based on the instructions of the network device, at least one second AI feature or at least one combination of third AI features is determined from at least one third AI feature or at least one combination of third AI features. The method according to any one of claims 8 to 10, characterized in that, The determination of at least one second AI feature or at least one combination of second AI features includes any one of the following: The Media Access Control (MAC) layer determines at least one second AI feature or at least one combination of second AI features; Based on the instructions of the first protocol stack layer, at least one second AI feature or at least one combination of second AI features is determined. The method according to claim 11, characterized in that, The first protocol stack layer includes at least one of the following: Higher layers, including protocol stack layers above the MAC layer; The lower layer includes the protocol stack layer below the MAC layer. The method according to any one of claims 8 to 12, characterized in that, The process based on the first configuration information Random access includes at least one of the following: Based on the first configuration information and at least one second AI feature or a combination of at least one second AI feature, select the RA configuration suitable for the current random access procedure; Based on the first configuration information and at least one second AI feature or a combination of at least one second AI feature, the uplink is selected between the supplementary uplink SUL and the normal uplink NUL. Based on the first configuration information and at least one second AI feature or a combination of at least one second AI feature, perform bandwidth portion BWP selection. The method according to claim 13, characterized in that, The random access based on the first configuration information includes: The RA configuration applicable to the current random access procedure is one, and random access is performed based on the RA configuration applicable to the current random access procedure; There are multiple RA configurations applicable to the current random access procedure. One RA configuration is selected from the multiple RA configurations applicable to the current random access procedure to perform random access based on the selected RA configuration. The method according to claim 14, characterized in that, The step of selecting an RA configuration from a plurality of RA configurations applicable to the current random access procedure includes at least one of the following: RA configuration selection is performed based on the agreement. RA configuration selection is performed based on the instructions from the network device; The RA configuration selection is executed based on the terminal implementation. The method according to any one of claims 1 to 15, characterized in that, AI features include at least one of the following: AI capability characteristics, wherein the AI ​​capability characteristics are used to indicate whether the terminal has AI capabilities, and / or, wherein the AI ​​capability characteristics are used to indicate whether the terminal has AI needs; AI capability sharing features, wherein the AI ​​capability sharing features are used to indicate the AI ​​capability sharing modes supported by the terminal, and / or, wherein the AI ​​capability sharing features are used to indicate the AI ​​capability sharing modes required by the terminal; AI service characteristics, wherein the AI ​​service characteristics are used to indicate the types of AI services supported by the terminal, and / or, wherein the AI ​​service characteristics are used to indicate the types of AI services required by the terminal; AI use case characteristics, wherein the AI ​​use case characteristics are used to indicate the types of AI use cases supported by the terminal, and / or, wherein the AI ​​use case characteristics are used to indicate the types of AI use cases required by the terminal; AI resource characteristics, wherein the AI ​​resource characteristics are used to indicate the types of AI resources supported by the terminal, and / or, wherein the AI ​​resource characteristics are used to indicate the types of AI resources required by the terminal. The method according to claim 16, characterized in that, The AI ​​capability sharing mode includes at least one of the following: The terminal shares its AI capabilities with the network device; The network device shares its AI capabilities with the terminal. The terminal shares AI capabilities with other terminals. The method according to claim 16 or 17, characterized in that, The AI ​​service type includes at least one of the following: AI model training services; AI model inference service; AI model validation services; AI model data services. The method according to any one of claims 16 to 18, characterized in that, The AI ​​use case types include at least one of the following: AI-based location use cases; AI-based beam management use cases. The method according to any one of claims 16 to 19, characterized in that, The AI ​​resource type includes at least one of the following: AI computing power resources; AI algorithm resources; AI data resources; AI connects resources. The method according to any one of claims 1 to 20, characterized in that, When the terminal includes the first AI feature or first AI feature combination associated with the RA configuration included in the first configuration information in at least one second AI feature or at least one combination of second AI features, it performs the step of random access based on the first configuration information. Wherein, at least one second AI feature or at least one combination of second AI features is an AI feature or combination of AI features applicable to the current random access procedure. The method according to any one of claims 1 to 21, characterized in that, The method further includes: If the preset rollback conditions are met, execute random access rollback; The preset fallback conditions include the number of random access attempts reaching the first count, and / or the preset fallback conditions include the network device indicating a fallback. The method according to claim 22, characterized in that, The execution of random access fallback includes any one of the following: Perform fallback between different types of random access procedures; Rollback between RA configurations associated with different AI features or combinations of AI features. The method according to claim 23, characterized in that, The fallback between RA configurations associated with different AI features or combinations of AI features includes at least one of the following: According to the agreement, the rollback will be determined to the RA configuration associated with the fourth AI feature or the combination of the fourth AI features; Based on the instructions of the network device, determine the RA configuration associated with the fourth AI feature or the combination of the fourth AI features. The method according to any one of claims 1 to 24, wherein the terminal is a terminal that supports random access based on first configuration information. The method according to any one of claims 1 to 25, characterized in that, The method further includes: The network device sends capability information, which is used to indicate whether the terminal supports random access based on the first configuration information. A random access method, characterized in that, Applied to network devices, the method includes: Send first configuration information to the terminal, the first configuration information including RA configuration associated with at least one first AI feature or a combination of at least one first AI feature, the first configuration information is also used for the terminal to perform random access. The method according to claim 27, characterized in that, RA configuration includes at least one of the following: RACH resource configuration; RA priority parameter configuration. The method according to claim 28, characterized in that, RA priority parameters include at least one of the following: Power ramp-up step size; Backscaling factor; Race resolution timer duration. The method according to claim 28 or 29, characterized in that, RACH resource configuration includes at least one of the following: PRACH resource configuration; RSRP threshold configuration; Preamble selection configuration for Group A or Group B; PUSCH resource configuration for a two-step random access procedure. The method according to claim 30, characterized in that, PRACH resource configuration includes at least one of the following: RO configuration; Preamble configuration. The method according to claim 30 or 31 is characterized in that, The RSRP threshold is used for at least one of the following: RA type selection; SSB selection; CSI-RS selection. The method according to any one of claims 30 to 32 is characterized in that, Preamble selection configurations for Group A or Group B include at least one of the following: Preamble number configuration; Preamble selection transport block size threshold configuration; The power offset configuration selected by the preamble. The method according to any one of claims 27 to 33 is characterized in that, The first configuration information is used for the terminal to perform random access, and includes at least one of the following: The first configuration information is used by the terminal to select the RA configuration applicable to the current random access procedure; The first configuration information is used by the terminal to select the uplink between SUL and NUL; The first configuration information is used for the terminal to perform bandwidth selection (BWP). The method according to any one of claims 27 to 34, characterized in that, The RA configuration applicable to the current random access procedure is one, and the RA configuration applicable to the current random access procedure is used by the terminal to perform random access; There are multiple RA configurations applicable to the current random access procedure. These multiple RA configurations are used by the terminal to perform RA configuration selection, so as to select one RA configuration from the multiple RA configurations for random access. The method according to claim 35, characterized in that, The method further includes: Send a first indication message to the terminal, the first indication message being used by the terminal to perform RA configuration selection among multiple RA configurations applicable to the current random access procedure. The method according to any one of claims 27 to 36, characterized in that, AI features include at least one of the following: AI capability characteristics, wherein the AI ​​capability characteristics are used to indicate whether the terminal has AI capabilities, and / or, wherein the AI ​​capability characteristics are used to indicate whether the terminal has AI needs; AI capability sharing features, wherein the AI ​​capability sharing features are used to indicate the AI ​​capability sharing modes supported by the terminal, and / or, wherein the AI ​​capability sharing features are used to indicate the AI ​​capability sharing modes required by the terminal; AI service characteristics, wherein the AI ​​service characteristics are used to indicate the types of AI services supported by the terminal, and / or, wherein the AI ​​service characteristics are used to indicate the types of AI services required by the terminal; AI use case characteristics, wherein the AI ​​use case characteristics are used to indicate the types of AI use cases supported by the terminal, and / or, wherein the AI ​​use case characteristics are used to indicate the types of AI use cases required by the terminal; AI resource characteristics, wherein the AI ​​resource characteristics are used to indicate the types of AI resources supported by the terminal, and / or, wherein the AI ​​resource characteristics are used to indicate the types of AI resources required by the terminal. The method according to claim 37, characterized in that, The AI ​​capability sharing mode includes at least one of the following: The terminal shares its AI capabilities with the network device; The network device shares its AI capabilities with the terminal. The terminal shares AI capabilities with other terminals. The method according to claim 37 or 38, characterized in that, The AI ​​service type includes at least one of the following: AI model training services; AI model inference service; AI model validation services; AI model data services. The method according to any one of claims 37 to 39, characterized in that, The AI ​​use case types include at least one of the following: AI-based location use cases; AI-based beam management use cases. The method according to any one of claims 37 to 40, characterized in that, The AI ​​resource type includes at least one of the following: AI computing power resources; AI algorithm resources; AI data resources; AI connects resources. The method according to any one of claims 27 to 41, characterized in that, The terminal performs random access based on the first configuration information when at least one second AI feature or at least one combination of second AI features includes the first AI feature or combination of first AI features associated with the RA configuration included in the first configuration information; Wherein, at least one second AI feature or at least one combination of second AI features is an AI feature or combination of AI features applicable to the current random access procedure. The method according to any one of claims 27 to 42, characterized in that, The method further includes: Send a second instruction message to the terminal, the second instruction message being used to instruct the terminal to perform a random access fallback. The method according to claim 43, characterized in that, The second indication information is used to instruct the terminal to perform random access fallback, including any one of the following: The second indication information is used to instruct the terminal to fall back between different types of random access procedures; The second indication information is used to instruct the terminal to roll back between RA configurations associated with different AI features or combinations of AI features. The method according to claim 44, characterized in that, The second indication information is used to instruct the terminal to roll back between RA configurations associated with different AI features or combinations of AI features, and the method further includes: A third indication message is sent to the terminal, the third indication message being used to instruct the terminal to fall back to the RA configuration associated with the fourth AI feature or the combination of the fourth AI features. The method according to any one of claims 27 to 45, wherein the terminal is a terminal that supports random access based on first configuration information. The method according to any one of claims 27 to 46, characterized in that, The method further includes: The terminal receives capability information sent by the terminal, the capability information being used to indicate whether the terminal supports random access based on the first configuration information. A terminal, characterized in that, include: The transceiver module is configured to receive first configuration information sent by a network device, the first configuration information including random access (RA) configuration associated with at least one first AI feature or a combination of at least one first AI feature; The processing module is configured to perform random access based on the first configuration information. A network device, characterized in that, include: The transceiver module is configured to send first configuration information to a terminal, the first configuration information including RA configuration associated with at least one first AI feature or a combination of at least one first AI feature, and the first configuration information is also used by the terminal to perform random access. A terminal, characterized in that, include: One or more processors; The terminal is used to execute the random access method according to any one of claims 1-26. A network device, characterized in that, include: One or more processors; The network device is used to execute the random access method according to any one of claims 27-47. A communication system, characterized in that, The device includes a terminal and a network device, wherein the terminal is configured to implement the random access method according to any one of claims 1-26, and the network device is configured to implement the random access method according to any one of claims 27-47. A storage medium storing instructions, characterized in that, When the instruction is executed on the communication device, the communication device performs the random access method as described in any one of claims 1-26 or 27-47.

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