The mobile data traffic has been exponentially growing during the last several decades. This
was enabled by the densification of the network infrastructure in terms of increased cell …

Detection techniques for massive multiple-input multiple-output (MIMO) have gained a lot of
attention in both academia and industry. Detection techniques have a significant impact on …

This paper investigates the uplink performance of a general cell-free massive multiple-input
multiple-output (CF-mMIMO) system, in which all access points (APs) and user equipments …

Integrating reconfigurable intelligent surface (RIS) into cell-free massive multiple-input
multiple-output (MIMO) is a promising approach to enhance the coverage quality, spectral …

This paper investigates the performance of limited-fronthaul cell-free massive multiple-input
multiple-output (MIMO) taking account the fronthaul quantization and imperfect channel …

Good generalization performance across a wide variety of domains caused by many
external and internal factors is the fundamental goal of any machine learning algorithm. This …

A cell-free massive multiple-input multiple-output (MIMO) uplink is considered, where
quantize-and-forward (QF) refers to the case where both the channel estimates and the …

Machine learning (ML) which is a subset of artificial intelligence is expected to unlock the
potential of challenging large-scale problems in conventional massive multiple-input …

While fifth-generation (5G) communications are being rolled out worldwide, sixth-generation
(6G) communications have attracted much attention from both the industry and the …

The downlink (DL) of a non-orthogonal-multiple-access (NOMA)-based cell-free massive
multiple-input multiple-output (MIMO) system is analyzed, where the channel state …