In millimeter wave cellular communication, fast and reliable beam alignment via beam
training is crucial to harvest sufficient beamforming gain for the subsequent data …

This paper is concerned with the channel estimation problem in millimeter wave (mmWave)
wireless systems with large antenna arrays. By exploiting the inherent sparse nature of the …

Reconfigurable intelligent surface (RIS) has recently emerged as a promising paradigm for
future cellular networks. Specifically, due to its capability in reshaping the propagation …

Millimeter-wave (mmWave) technologies represent a cornerstone for emerging wireless
network infrastructure, and for RF sensing systems in security, health, and automotive …

The joint design of hybrid beamforming matrices is conceived for multiuser mm-wave full-
duplex (FD) multiple-input multiple-output (MIMO) relay-aided systems in the presence of …

Intelligent reflecting surface (IRS) is envisioned as a promising technology to broaden signal
coverage and enhance transmission in terahertz (THz) communications. Due to the passivity …

In this paper, we propose a deep learning-based beam tracking method for millimeter-wave
(mmWave) communications. Beam tracking is employed for transmitting the known symbols …

This paper proposes a closed-loop sparse channel estimation (CE) scheme for wideband
millimeter-wave hybrid full-dimensional multiple-input multiple-output and time division …

In this paper, motivated by the inter-base station (BS) channel dependence due to the
shared wireless environment, we propose to fuse sub-6 GHz channel information and …

Beam tracking for unmanned aerial vehicle (UAV) communications is an enabling
technology that maintains the connection between UAV and ground base stations. In this …