Deep learning (DL) has proven its unprecedented success in diverse fields such as
computer vision, natural language processing, and speech recognition by its strong …

MIMO-OFDM is a key technology and a strong candidate for 5G telecommunication systems.
In the literature, there is no convenient survey study that rounds up all the necessary points …

Most of the existing works on vehicle-to-everything (V2X) communications assume some
deterministic or stochastic channel models, which is unrealistic for highly-dynamic vehicular …

Cell-free widely distributed massive multiple-input multiple-output (MIMO) systems utilize
radio units spread out over a large geographical area. The radio signal of a user equipment …

This paper investigates a channel estimator based on Gaussian mixture models (GMMs) in
the context of linear inverse problems with additive Gaussian noise. We fit a GMM to given …

Multicarrier modulation allows for deploying wideband systems resilient to multipath fading
channels, impulsive noise, and intersymbol interference compared to single-carrier systems …

Non-orthogonal multiple access (NOMA) has great potential to implement the fifth-
generation (5G) requirements of wireless communication. For a NOMA traditional detection …

We provide the first-ever performance evaluation of orthogonal time frequency space (OTFS)
modulation in cell-free massive multiple-input multiple-output (MIMO) systems. To …

We propose an innovative machine learning-based technique to address the problem of
channel acquisition at the base station in frequency division duplex systems. In this context …

In this paper, we consider remote state estimation with simultaneous wireless information
and power transfer (SWIPT). A remote estimator receives the state estimate transmitted by a …