Recent studies have shown that Machine Learning (ML) techniques can be used to
compress Channel State Feedback (CSF) in order to reduce overhead; however, it is …

Acquisition of channel state information (CSI) is indispensable in a cellular network. In the
current communication architecture, the downlink CSI is estimated by the user equipment …

The demand for higher data traffic is exponentially growing. Since last 2 years or so, new
research movements have emerged towards LTE-B (Release 13 and beyond) and 5th …

Cell-free massive multiple-input multiple-output (CFMM) network is projected as the latest
technology for the fifth-generation and beyond wireless networks. The recent research trend …

In a previous work, we introduced a spectrum sharing technique called Multi-User
Vandermonde-subspace Frequency Division Multiplexing (MU-VFDM). This overlay …

Deep learning has been introduced to improve implicit channel state information (CSI)
feedback, and it significantly outperforms codebook-based feedback methods used in …

To achieve the theoretical performance gains of massive multiple-input multiple-output
(MIMO) systems, the base station (BS) must acquire the downlink channel state information …

The growth of frequency bandwidths and applications with the forthcoming generations of
wireless networks will give rise to a multitude of wireless transmission scenarios, topologies …

Adaptation of the Modulation and Coding Scheme (MCS) within the Cellular Vehicle-To-
Everything (C-V2X) sidelink has the potential for a wide range of applications including …

Channel estimation is a critical task in digital communications that greatly impacts end-to-
end system performance. In this work, we introduce a novel approach for multiple-input …