Massive multiple-input-multiple-output (MIMO) has become a promising technique to
provide high-data-rate communication in fifth-generation mobile systems, thanks to its ability …

This paper proposes a novel approach to deal with pilot contamination for spatially
correlated massive multiple-input multiple-output (MIMO) systems with insufficient pilots …

Using multiple-Input Multiple-Output (MIMO) configuration is not new in the field of wireless
communication to increase the capacity of the system. This configuration is still valid to use …

System capacity and service coverage are the most critical performance metrics in cellular
wireless communication networks. Usually, system capacity enhancements are at the …

This paper purposes beam allocation problem for a massive MIMO system using Deep
Neural Network (DNN). We use supervised Machine Learning (ML) algorithm for Beam …

Beamspace millimeter-wave (mmWave) and terahertz (THz) massive MIMO constitute
attractive schemes for next-generation communications, given their abundant bandwidth …

Cell-free massive MIMO communications is an emerging network technology for 5G wireless
communications wherein distributed multi-antenna access points (APs) serve many users …

Two-tier massive multiple-input multiple-output (MIMO) systems achieve high sum spectral
efficiency by simultaneously serving large numbers of users. However, as the number of …

We propose a location-aware pilot allocation algorithm for a massive multiple-input multiple-
output (MIMO) network with high-mobility users, where the wireless channels are subject to …

We propose a strategy for orthogonal downlink pilot assignment in cell-free massive MIMO
(multiple-input multipleoutput) that exploits knowledge of the channel state information, the …