Title | ||
---|---|---|
Zero-Shot Adaptation for mmWave Beam-Tracking on Overhead Messenger Wires Through Robust Adversarial Reinforcement Learning |
Abstract | ||
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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 Shinzaki | 1 | 0 | 1.01 |
Yusuke Koda | 2 | 4 | 3.78 |
Koji Yamamoto | 3 | 135 | 45.58 |
Takayuki Nishio | 4 | 106 | 38.21 |
Masahiro Morikura | 5 | 184 | 63.42 |
Yushi Shirato | 6 | 0 | 0.68 |
Daisei Uchida | 7 | 0 | 0.68 |
Naoki Kita | 8 | 0 | 0.68 |