We study uplink of cell-free massive multiple-input multiple-output system with limited
capacity fronthaul link connecting each access point (AP) to a central processing unit (CPU) …

This paper considers the joint impact of non-linear hardware impairments at the base station
(BS) and user equipments (UEs) on the uplink performance of single-cell massive MIMO …

Phase-noise (PN) estimation and compensation are crucial in millimeter-wave (mmWave)
communication systems to achieve high reliability. The PN estimation, however, suffers from …

To fulfill 5th Generation (5G) communication capacity demands, the use of a large number of
antennas has been widely investigated, and the array gain and spatial multiplexing that are …

We introduce a framework for linear precoder design over a massive multiple-input multiple-
output downlink system in the presence of nonlinear power amplifiers (PAs). By studying the …

Massive multiple-input multiple-output (MIMO) systems have attracted much attention lately
due to the many advantages they provide over single-antenna systems. Owing to the many …

We study collaborative machine learning systems where a massive dataset is distributed
across independent workers which compute their local gradient estimates based on their …

In this work, we propose an iterative scheme for computing a linear precoder that takes into
account the impact of hardware impairments in the multiuser multiple-input singleoutput …

Baseband processing algorithms often require knowledge of the noise power, signal power,
or signal-to-noise ratio (SNR). In practice, these parameters are typically unknown and must …

Millimeter wave MIMO combines the benefits of compact antenna arrays with a large number
of elements and massive bandwidths, so that fully digital beamforming has the potential of …