Obtaining accurate angle parameters using direction-of-arrival (DOA) estimation algorithms
is crucial for acquiring channel state information (CSI) in massive multiple-input multiple …

Reconfigurable intelligent surfaces (RISs) have received intensive attention for their
outstanding potential of reconstructing wireless propagation channels to significantly …

Extremely large-scale multiple-input-multiple-output (XL-MIMO) is a promising technology
for the future sixth-generation (6G) networks to achieve higher performance. In practice …

We consider a cell-free massive multiple-input multiple-output (MIMO) system with multi-
antenna access points and user equipments (UEs) over Weichselberger Rician fading …

This paper proposes a unified performance analysis framework of asymmetric dual-hop
radio-frequency/free-space optical (RF/FSO) transmission systems. The generalized …

Cell-free massive multiple-input multiple-output (MIMO) is a promising network to offer huge
improvement of the achievable rate compared with conventional cellular massive MIMO …

In this paper, we propose an end-to-end deep learning approach to realize channel state
information (CSI) feedback and hybrid precoding for millimeter wave massive multiple-input …

The increasing power consumption and the energy crisis owing to several billion of
connected devices raises concern. The battery powered devices or mobile terminals …

In this article, we study the performance of an intelligent omni-surface (IOS)-aided
communication system, considering the impacts of actual phase quantization errors and …

In this paper, we investigate the uplink transmit power optimization problem in cell-free (CF)
extremely large-scale multiple-input multiple-output (XL-MIMO) systems. Instead of applying …