Leveraging Deep Reinforcement Learning for Geolocation-based MIMO Transmission in FD-RAN-Reference-Cited by-同舟云学术

Leveraging Deep Reinforcement Learning for Geolocation-based MIMO Transmission in FD-RAN

Published:2023-08-10 Issue: Volume: Page:
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Container-title:2023 IEEE/CIC International Conference on Communications in China (ICCC)
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Author:

Liu Zongxi¹,Yu Kai¹,Zhang Tianqi¹,Liu Jingbo²,Chen Jiacheng²,Zhou Haibo¹,Shen Xuemin Sherman³

Affiliation:

1. Nanjing University,School of Electronic Science and Engineering,Nanjing,China,210023

2. Peng Cheng Laboratory,Department of Mathematics and Theories,Shenzhen,China,518000

3. University of Waterloo,Department of Electrical and Computer Engineering,Waterloo,Canada,N2L 3G1

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10233255/10233122/10233428.pdf?arnumber=10233428

Reference14 articles.

1. DeepMIMO: A generic deep learning dataset for millimeter wave and massive MIMO applications;alkhateeb;Proc of Information Theory and Applications Workshop (ITA),2019

2. Deep Reinforcement Learning with Double Q-Learning

3. Versatile mobile communications simulation: the Vienna 5G Link Level Simulator

4. Dueling network architectures for deep reinforcement learning;wang;International Conference on Machine Learning,2016

5. Human-level control through deep reinforcement learning;mnih;Nature,2015

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