Wireless communication method, terminal device and network device
View Patent ↗The embodiments of the present disclosure provide a wireless communication method, a terminal device and a network device. At least one AI functional entity and/or at least one joint AI functional entity is defined in a communication protocol stack, capable of adaptively adjusting configuration information based on actual requirements, thereby achieving intelligent optimization of the communication protocol stack and improving the performance of the communication system. The wireless communication method includes: receiving or transmitting, by a terminal device, configuration information via at least one Artificial Intelligence (AI) functional entity and/or at least one joint AI functional entity. The at least one AI functional entity has a first association with a communication protocol sublayer of the terminal device, and the at least one joint AI functional entity has a second association with the communication protocol sublayer of the terminal device.
1 . A wireless communication method, comprising:
receiving or transmitting, by a terminal device, configuration information via at least one Artificial Intelligence (AI) functional entity and/or at least one joint AI functional entity, wherein
the at least one AI functional entity has a first association with a communication protocol sublayer of the terminal device, and the at least one joint AI functional entity has a second association with the communication protocol sublayer of the terminal device;
wherein the method further comprises:
using, by the terminal device when a type of configuration information generated by the at least one AI functional entity and/or the at least one joint AI functional entity is same as a type of a configuration received or generated or stored by the corresponding communication protocol sublayer, the configuration generated by the at least one AI functional entity and/or the at least one joint AI functional entity based on a protocol or implementation.
2 . The method according to claim 1 , wherein the at least one AI functional entity is a part of its corresponding communication protocol sublayer, or the at least one AI functional entity is independent of its corresponding communication protocol sublayer.
3 . The method according to claim 1 , wherein, in the first association, a one-to-one correspondence holds between AI functional entities and communication protocol sublayers, a one-to-multiple correspondence holds between AI functional entities and communication protocol sublayers, a multiple-to-one correspondence holds between AI functional entities and communication protocol sublayers, or a multiple-to-multiple correspondence holds between AI functional entities and communication protocol sublayers.
4 . The method according to claim 1 , wherein the at least one joint AI functional entity is a part of its corresponding communication protocol sublayer, or the at least one joint AI functional entity is independent of its corresponding communication protocol sublayer.
5 . The method according to claim 1 , wherein, in the second association, a one-to-one correspondence holds between joint AI functional entities and communication protocol sublayers, a one-to-multiple correspondence holds between joint AI functional entities and communication protocol sublayers, a multiple-to-one correspondence holds between joint AI functional entities and communication protocol sublayers, or a multiple-to-multiple correspondence holds between joint AI functional entities and communication protocol sublayers.
6 . The method according to claim 1 , wherein the at least one AI functional entity has a third association with the at least one joint AI functional entity.
7 . The method according to claim 6 , wherein, in the third association, a multiple-to-one correspondence holds between AI functional entities and joint AI functional entities, or a multiple-to-multiple correspondence holds between AI functional entities and joint AI functional entities.
8 . The method according to claim 1 , wherein the at least one joint AI functional entity comprises the at least one AI functional entity, or the at least one joint AI functional entity is independent of the at least one AI functional entity.
9 . The method according to claim 1 , further comprising:
receiving, by the terminal device, instruction information to activate or deactivate or reconfigure the at least one AI functional entity and/or the at least one joint AI functional entity.
10 . The method according to claim 9 , wherein the instruction information further comprises control configuration information for the at least one AI functional entity and/or the at least one joint AI functional entity, wherein
the control configuration information comprises at least one of:
an algorithm configuration for the AI functional entity and/or the joint AI functional entity, an application scenario configuration for the AI functional entity and/or the joint AI functional entity, or an optimization target configuration for an application scenario for the AI functional entity and/or the joint AI functional entity.
11 . The method according to claim 1 , further comprising:
using, by the terminal device when a type of configuration information received by the at least one AI functional entity and/or the at least one joint AI functional entity is same as a type of a configuration received or generated or stored by the corresponding communication protocol sublayer, the configuration received by the at least one AI functional entity and/or the at least one joint AI functional entity based on a protocol or implementation or the configuration received or generated or stored by the corresponding communication protocol sublayer based on a protocol or implementation; and/or
using, by the terminal device when the type of the configuration information received or generated by the at least one AI functional entity and/or the at least one joint AI functional entity is different from the type of the configuration received or generated or stored by the corresponding communication protocol sublayer, the configuration information received or generated or stored by the communication protocol sublayer.
12 . The method according to claim 1 , wherein the communication protocol sublayer comprises at least one of:
a Non-Access Stratum (NAS) layer, a Service Data Adaptation Protocol (SDAP) layer, a Radio Resource Control (RRC) layer, a Packet Data Convergence Protocol (PDCP) layer, a Radio Link Control (RLC) layer, a Media Access Control (MAC) layer, a Physical (PHY) layer, or a Backhaul Adaptation Protocol (BAP) layer.
13 . A terminal device, comprising a processor and a memory, wherein the memory has a computer program stored thereon, and the processor is configured to invoke and execute the computer program stored in the memory to cause the terminal device to perform:
receiving or transmiting configuration information via at least one Artificial Intelligence (AI) functional entity and/or at least one joint AI functional entity, wherein
the at least one AI functional entity has a first association with a communication protocol sublayer of the terminal device, and the at least one joint AI functional entity has a second association with the communication protocol sublayer of the terminal device;
wherein the terminal device further performs:
using, when a type of configuration information generated by the at least one AI functional entity and/or the at least one joint AI functional entity is same as a type of a configuration received or generated or stored by the corresponding communication protocol sublayer, the configuration generated by the at least one AI functional entity and/or the at least one joint AI functional entity based on a protocol or implementation.
14 . The terminal device according to claim 13 , wherein the at least one AI functional entity is a part of its corresponding communication protocol sublayer, or the at least one AI functional entity is independent of its corresponding communication protocol sublayer.
15 . The terminal device according to claim 13 , wherein the at least one joint AI functional entity is a part of its corresponding communication protocol sublayer, or the at least one joint AI functional entity is independent of its corresponding communication protocol sublayer.
16 . The terminal device according to claim 13 , wherein the at least one joint AI functional entity comprises the at least one AI functional entity, or the at least one joint AI functional entity is independent of the at least one AI functional entity.
17 . A network device, comprising a processor and a memory, wherein the memory has a computer program stored thereon, and the processor is configured to invoke and execute the computer program stored in the memory to cause the network device to perform;
receiving or transmitting configuration information via at least one Artificial Intelligence (AI) functional entity and/or at least one joint AI functional entity, wherein
the at least one AI functional entity has a first association with a communication protocol sublayer of the network device, and the at least one joint AI functional entity has a second association with the communication protocol sublayer of the network device;
wherein the network device further performs:
using, when a type of configuration information generated by the at least one AI functional entity and/or the at least one joint AI functional entity is same as a type of a configuration received or generated or stored by the corresponding communication protocol sublayer, the configuration generated by the at least one AI functional entity and/or the at least one joint AI functional entity based on a protocol or implementation.
18 . The network device according to claim 17 , wherein the at least one AI functional entity is a part of its corresponding communication protocol sublayer, or the at least one AI functional entity is independent of its corresponding communication protocol sublayer.
19 . The network device according to claim 17 , wherein the network device further performs:
receiving instruction information to activate or deactivate or reconfigure the at least one AI functional entity and/or the at least one joint AI functional entity.
20 . The network device according to claim 17 , wherein the network device further performs:
using, when a type of configuration information received by the at least one AI functional entity and/or the at least one joint AI functional entity is same as a type of a configuration received or generated or stored by the corresponding communication protocol sublayer, the configuration received by the at least one AI functional entity and/or the at least one joint AI functional entity based on a protocol or implementation or the configuration received or generated or stored by the corresponding communication protocol sublayer based on a protocol or implementation; and/or
using, when the type of the configuration information received or generated by the at least one AI functional entity and/or the at least one joint AI functional entity is different from the type of the configuration received or generated or stored by the corresponding communication protocol sublayer, the configuration information received or generated or stored by the communication protocol sublayer.