Title
Zero-Shot Adaptation for mmWave Beam-Tracking on Overhead Messenger Wires Through Robust Adversarial Reinforcement Learning
Abstract
Millimeter wave (mmWave) beam-tracking based on machine learning enables the development of accurate tracking policies while obviating the need to periodically solve beam-optimization problems. However, its applicability is still arguable when training-test gaps exist in terms of environmental parameters that affect the node dynamics. From this skeptical point of view, the contribution of this stu...
Year
DOI
Venue
2022
10.1109/TCCN.2021.3116231
IEEE Transactions on Cognitive Communications and Networking
Keywords
DocType
Volume
Wires,Training,Adaptive arrays,Wireless communication,Transmitting antennas,Trajectory,Training data
Journal
8
Issue
ISSN
Citations 
1
2332-7731
0
PageRank 
References 
Authors
0.34
0
8
Name
Order
Citations
PageRank
Masao Shinzaki101.01
Yusuke Koda243.78
Koji Yamamoto313545.58
Takayuki Nishio410638.21
Masahiro Morikura518463.42
Yushi Shirato600.68
Daisei Uchida700.68
Naoki Kita800.68