Deep Q-network based beam tracking for mobile millimeter-wave communications

Deep Active Learning for mmWave Array-Based Multi-Source AoA Tracking

X Cheng, X Yuan, W Jiang, L Zhu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In this paper, we investigate the problem of tracking the angles of arrival (AoAs) of multiple
sources in millimeter wave (mmWave) systems with a limited number of radio frequency (RF) …
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Deep Active Learning for Multi-Source AoA Tracking in mmWave-Based ISAC Systems

X Cheng, X Yuan, W Jiang, L Zhu… - 2023 IEEE Globecom …, 2023 - ieeexplore.ieee.org
In this paper, we investigate the problem of tracking the angle of arrivals (AoAs) of multi-
source in millimeter wave (mmWave)-based integrated sensing and communication (ISAC) …
被引用次数：1 相关文章

DQN-based Joint Adaptive Beamwidth Control and Beam Tracking for mmWave Communications

H Park, JH Jeon, H Chung, S Kim - 2023 IEEE Statistical Signal …, 2023 - ieeexplore.ieee.org
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 …
被引用次数：1 相关文章

PPO LSTM Based Beam Tracking for mmWave Communication Systems

LI Averina, NE Guterman - … on Digital Signal Processing and its …, 2024 - ieeexplore.ieee.org
The paper describes possible deep reinforcement learning algorithm for beam tracking and
prediction of user equipment angular motion. High accuracy in predicting azimuth and …
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[引用][C] 밀리미터파통신심층Q-네트워크기반빔폭제어및도래각추적알고리즘

전종현， 박현우， 강정완， 정현진， 김선우 - 한국통신학회학술대회논문집, 2023 - dbpia.co.kr
요 약본 논문에서는 deep Q-network (DQN) 기반 협동 빔 폭 제어 및 도래각 추적 알고리즘을
제안한다. 제안하는 알고리즘은 채널 모델과 단말의동적 시나리오에 대한 사전 정보 없이 …
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