In this paper, we present a beam tracking algorithm based on the deep Q-network (DQN) for
mobile millimeter-wave (mmWave) communications. The proposed algorithm determines the …

This paper presents a joint adaptive beamwidth control and beam tracking algorithm for
mobile millimeter-wave (mmWave) communications based on deep Q-network (DQN). When …

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 …

We propose a novel beam-tracking algorithm based on channel charting (CC) which
maintains the communication link between a base station (BS) and a mobile user equipment …

Beamforming is significant for millimeter wave multi-user massive multi-input multi-output
systems. In the meanwhile, the over⁃ head cost of channel state information and beam …

To solve the complex beam alignment issue in non-line-of-sight (NLOS) millimeter wave
communications, this paper presents a deep neural network (DNN) based procedure to …

In millimeter wave communication, the beamforming technique with accurate angle
information plays a key role to overcome the high path-loss and mitigate the interference …

We propose approaches to the problem of multi-paths beam tracking in millimeter-wave
(mmWave) mobile communications. Precise angle tracking is necessary to take advantage …

Beam tracking is of great interest in millimeter wave (mmWave) communication systems,
because it can significantly improve the user's received signal power for high-speed …

Utilizing millimeter-wave (mmWave) frequencies for wireless communication in mobile
systems is challenging since it requires continuous tracking of the beam direction. Recently …