3 papers
cs.IT2023
Deep-Learning Aided Channel Training and Precoding in FDD Massive MIMO with Channel Statistics Knowledge
Yi Song, Tianyu Yang, Mahdi Barzegar Khalilsarai +1
We propose a method for channel training and precoding in FDD massive MIMO based on deep neural networks (DNNs), exploiting Downlink (DL) channel covariance knowledge. The DNN is o…
cs.IT2022
FDD Massive MIMO Channel Training Optimal Rate Distortion Bounds and the Efficiency of one-shot Schemes
Mahdi Barzegar Khalilsarai, Yi Song, Tianyu Yang +1
We study the problem of providing channel state information (CSI) at the transmitter in multi-user massive MIMO systems operating in frequency division duplexing (FDD). The wideban…
cs.IT2016
An Upper Bound on the Sum Capacity of the Downlink Multicell Processing with Finite Backhaul Capacity
Tianyu Yang, Nan Liu, Wei Kang +1
In this paper, we study upper bounds on the sum capacity of the downlink multicell processing model with finite backhaul capacity for the simple case of 2 base stations and 2 mobil…