Intelligent Beam Training for Millimeter-Wave Communications via Deep Reinforcement Learning-Reference-Cited by-同舟云学术

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Intelligent Beam Training for Millimeter-Wave Communications via Deep Reinforcement Learning

Published:2019-12 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE Global Communications Conference (GLOBECOM)
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Author:

Zhang Jianjun,Huang Yongming,Wang Jiaheng,You Xiaohu

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8968653/9013108/09014113.pdf?arnumber=9014113

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Artificial Intelligence for Wireless Physical-Layer Technologies (AI4PHY): A Comprehensive Survey;IEEE Transactions on Cognitive Communications and Networking;2024-06

2. Hybrid Data-Induced Kalman Filtering Approach and Application in Beam Prediction and Tracking;IEEE Transactions on Signal Processing;2024

3. Deep Contextual Bandits Learning-Based Beam Selection for mmWave MIMO Systems;2023 IEEE International Mediterranean Conference on Communications and Networking (MeditCom);2023-09-04

4. Beam Image Stacking-Based Interactive Beam Tracking for Cell-Free mmWave Massive MIMO Systems;IEEE Communications Letters;2023-08

5. Beam Training and Tracking With Limited Sampling Sets: Exploiting Environment Priors;IEEE Transactions on Communications;2023-05

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