With its merit of intercell interference elimination and enhanced throughput, cell-free (CF)
massive multiple-input multiple-output (MIMO) system, has attracted considerable interests …

In this paper, a cost-effective and high-accuracy precoding technique based on-Fuzzy
pareto active learning (FPAL) is proposed for millimeter wave (mmWave) massive MIMO …

In the user-centric (UC) cell-free Massive MIMO architecture, a large number of distributed
access points (APs) are deployed in a given area, each one serving the mobile stations …

Reconfigurable intelligent surface (RIS) assisted wireless systems require accurate channel
state information (CSI) to control wireless channels and improve both the bandwidth and …

Reconfigurable intelligent surface (RIS) is considered to be an energy-efficient approach to
reshape the wireless environment for improved throughput. Its passive feature greatly …

Cell-free massive MIMO (CF-mMIMO) systems represent a promising approach to increase
the spectral efficiency of wireless communication systems. However, near-optimal …

In this paper, we propose a federated online training framework for deep neural network
(DNN)-based channel estimation (CE) in frequency-division duplexing (FDD) multi-user …

Energy-efficiency (EE) is identified as a key 5G metric and will have a major impact on the
hybrid beamforming system design. The most promising system designs include a reduced …

The advantages of massive multiple-input multiple-output (MIMO) techniques depend
heavily on the accuracy of channel state information (CSI). In frequency division duplexing …

Reconfigurable intelligent surfaces (RISs) have been proposed as a key enabler to improve
the coverage of the signals and mitigate the frequent blockages in millimeter wave …