| CPC G06N 3/08 (2013.01) [G06N 3/045 (2023.01); H04L 5/0055 (2013.01); H04L 25/0204 (2013.01)] | 13 Claims |
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1. A method of transmitting or receiving a signal by a user equipment (UE) in a mobile communication system, the method comprising:
selecting a neural network model corresponding to an autoencoder among a plurality of autoencoders based on at least one parameter associated with a wireless link between the UE and a base station (BS), the at least one parameter including an operating frequency, a UE bandwidth, and antenna configurations of the UE and the BS, wherein the neural network model includes a transmission (Tx) neural network disposed in the UE and a reception (Rx) neural network disposed in the BS;
learning a connection weight of the neural network model using a shadow neural network disposed in the UE based on a channel matrix, the channel matrix being estimated by the UE or being received from the BS, wherein a first neural network corresponding to the Tx neural network and a second neural network corresponding to the Rx neural network are included in the shadow neural network for shadow training;
transmitting, to the BS, a new connection weight of the Rx neural network based on result of the learning;
receiving, from the BS, an acknowledgement (ACK) signal indicating that the new connection weight is received by the BS, wherein a weight of the Rx neural network is updated based on the new connection weight;
updating a weight of the Tx neural network based on the result of the learning after the ACK signal is received from the BS; and
transmitting, to the BS, channel state information (CSI) feedback information based on the updated weight of the Tx neural network.
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