Intelligent signal transmission or reception method and device therefor
An intelligent computing device according to an embodiment of the present specification may receive a request for terminal information related to a terminal from a base station, transmit the terminal information to the base station, receive a resource for data transmission or reception, which is allocated by the base station, and transmit or receive data to or from the base station by using the allocated resource, wherein the data is transmitted or received by using a receiver selected from among a normal receiver of the terminal and an artificial intelligence receiver of the terminal on the basis of wireless communication environment information of the terminal, so that the conventional normal receiver and the artificial intelligence receiver provided at the terminal can be efficiently used in a wireless communication environment. One or more of a base station, a terminal, an intelligent computing device, and a server of the present specification may be associated with an artificial intelligence module, a drone (unmanned aerial vehicle; UAV), a robot, an augmented reality (AR) device, a virtual reality (VR) device, a device related to a 5G service, etc.
1 . A method of a user equipment (UE) for receiving an intelligent signal from a base station (BS), the method comprising:
receiving, from the BS, a request of UE information related to the UE;
transmitting, to the BS, the UE information;
allocating, by the BS, a resource for data transmission and reception; and
transmitting and receiving data with the BS based on the allocated resource,
wherein transmitting and receiving the data comprises transmitting and receiving the data based on a receiver selected among a general receiver of the UE and an artificial intelligence (AI) receiver of the UE based on wireless communication environment information of the UE,
wherein the method further comprises:
based on it being determined that the UE is able to use the AI receiver:
transmitting, to the BS, a request of AI-related model information; and
receiving, from the BS, the AI-related model information,
wherein the AI-related model information includes at least one of a switching determination model, and reception related parameters used for learning,
wherein the method further comprises:
after receiving the AI-related model information,
measuring parameters used in a switching determination model; and
selecting one among the general receiver and the AI receiver based on the measured parameters and the switching determination model.
2 . The method of claim 1 , wherein the wireless communication environment information of the UE includes at least one of SNR information, frequency variation measurement information, or delay spread information of the UE.
3 . The method of claim 1 , wherein the request of the AI-related model information includes at least one of information for whether to perform an AI support, information for a list of AI supports, and information for an AI computing capability.
4 . The method of claim 1 , wherein, based on a number of the measured parameters being less than or equal to a preset threshold, measuring the parameters is repeated.
5 . The method of claim 4 , further comprising:
based on the number of the measured parameters being greater than the preset threshold, relearning the switching determination model.
6 . The method of claim 5 , further comprising:
based on the relearning being completed, adding parameters as many as a preset number of parameters and measuring the added parameters.
7 . The method of claim 6 , wherein, based on the measurement of the added parameters being completed, the relearning is repeated by a preset number of reattempts.
8 . An intelligent computing device for intelligently receiving a signal from a base station (BS), the intelligent computing device comprising:
a communication unit configured to receive, from the BS, a request of user equipment (UE) information related to a UE; and
a processor configured to transmit the UE information to the BS through the communication unit, allow the BS to allocate a resource for data transmission and reception, and transmit and receive data with the BS based on the allocated resource,
wherein the processor is further configured to transmit and receive the data based on a receiver selected among a general receiver of the UE and an artificial intelligence (AI) receiver of the UE based on wireless communication environment information of the UE,
wherein, based on it being determined that the UE is able to use the AI receiver, the processor is further configured to:
transmit, to the BS, a request of AI-related model information; and
receive, from the BS, the AI-related model information,
wherein the AI-related model information includes at least one of a switching determination model, and reception related parameters used for learning,
wherein the processor is further configured to, after receiving the AI-related model information:
measure parameters used in a switching determination model; and
select one among the general receiver and the AI receiver based on the measured parameters and the switching determination model.
9 . The intelligent computing device of claim 8 , wherein the wireless communication environment information of the UE includes at least one of SNR information, frequency variation measurement information, or delay spread information of the UE.
10 . The intelligent computing device of claim 8 , wherein the request of the AI-related model information includes at least one of information for whether to perform an AI support, information for a list of AI supports, and information for an AI computing capability.
11 . The intelligent computing device of claim 8 , wherein the processor is further configured to, based on a number of the measured parameters being less than or equal to a preset threshold, repeat the measurement of the parameters.
12 . The intelligent computing device of claim 11 , wherein the processor is further configured to, based on the number of the measured parameters being greater than the preset threshold, relearn the switching determination model.
13 . The intelligent computing device of claim 12 , wherein the processor is further configured to, based on the relearning being completed, add parameters as many as a preset number of parameters and measure the parameters.