It is now well known that employing channel adaptive signaling in wireless communication
systems can yield large improvements in almost any performance metric. Unfortunately …

Understand the fundamentals of wireless and MIMO communication with this accessible and
comprehensive text. Viewing the subject through an information theory lens, but also …

Edge machine learning involves the deployment of learning algorithms at the wireless
network edge so as to leverage massive mobile data for enabling intelligent applications …

Block diagonalization is a linear preceding technique for the multiple antenna broadcast
(downlink) channel that involves transmission of multiple data streams to each receiver such …

This paper analyzes multiple-input, multiple-output interference channels where each
receiver knows its channels from all the transmitters and feeds back this information using a …

We consider the data-driven dictionary learning problem. The goal is to seek an over-
complete dictionary from which every training signal can be best approximated by a linear …

As a promising physical layer technique, nonorthogonal multiple access (NOMA) can admit
multiple users over the same space-time resource block, and thus improve the spectral …

We propose a versatile feedback scheme for both single-and multi-user multiple-input
multiple-output (MIMO) frequency division duplex (FDD) systems. Particularly, we propose …

This paper proposes an adaptive multi-mode transmission strategy to improve the spectral
efficiency achieved in the multiple-input multiple-output (MIMO) broadcast channel with …

Given a multiple-input multiple-output (MIMO) channel, feedback from the receiver can be
used to specify a transmit precoding matrix, which selectively activates the strongest channel …