no code implementations • 22 Apr 2021 • Xisuo Ma, Zhen Gao, Feifei Gao, Marco Di Renzo
To reduce the uplink pilot overhead for estimating the high-dimensional channels from a limited number of radio frequency (RF) chains at the base station (BS), we propose to jointly train the phase shift network and the channel estimator as an auto-encoder.
no code implementations • 12 Mar 2020 • Xisuo Ma, Zhen Gao
Specifically, we design an end-to-end deep neural network (DNN) architecture composed of dimensionality reduction network and reconstruction network to respectively mimic the pilot signals and channel estimator, which can be acquired by data-driven deep learning.