A Q-Learning-Based Approach for Distributed Beam Scheduling in mmWave Networks-Reference-Cited by-同舟云学术

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A Q-Learning-Based Approach for Distributed Beam Scheduling in mmWave Networks

Published:2021-12-13 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)
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Author:

Zhang Xiang,Sarkar Shamik,Bhuyan Arupjyoti,Kasera Sneha Kumar,Ji Mingyue

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9677035/9677043/09677150.pdf?arnumber=9677150

Reference22 articles.

1. Distributed Q-Learning for Aggregated Interference Control in Cognitive Radio Networks

2. Power allocation in cognitive radio networks using distributed machine learning

3. Distributed reinforcement learning in multi-agent networks

4. A reinforcement learning approach to power control and rate adaptation in cellular networks

5. Power Allocation in Multi-User Cellular Networks with Deep Q Learning Approach

Cited by 1 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. Secure mmWave Spectrum Sharing with Autonomous Beam Scheduling for 5G and Beyond;2022 IEEE 22nd Annual Wireless and Microwave Technology Conference (WAMICON);2022-04-27

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