  This letter mainly studies the transmit antenna selection(TAS) based on deep
learning (DL) scheme in untrusted relay networks. In previous work, we discover
that machine learning (ML)-based antenna selection schemes have small
performance degradation caused by complicated coupling relationship between
achievable secrecy rate and the channel gains. To solve the issue, we here
introduce deep neural network (DNN) to decouple the complicated relationship.
The simulation results show the DNN scheme can achieve better decoupling and
thus perform almost the same performance with conventional exhausted searching
scheme.
