Deep Reinforcement Learning based Dynamic Channel Bonding for Wi-Fi Networks-Reference-Cited by-同舟云学术

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Deep Reinforcement Learning based Dynamic Channel Bonding for Wi-Fi Networks

Published:2023-12-21 Issue: Volume: Page:153-160
ISSN:
Container-title:2023 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom)
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Author:

Chen Hao¹,Liu Peng²,You Lizhao¹,Guo Ziyang³,Luo Jiajun³,Sun Xinghua⁴,Wang Taotao⁵,Fu Liqun¹

Affiliation:

1. Xiamen University,Department of Information and Communication Engineering,China

2. Shenzhen Research Institute of Xiamen University,Shenzhen,China

3. Huawei Technologies Co., Ltd,Wireless Technology Lab, 2012 Laboratories,China

4. Sun Yat-sen University,School of Electronics and Communication Engineering,China

5. Shenzhen University,College of Electronics and Information Engineering,Shenzhen,China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Fujian Province

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10491596/10491599/10491864.pdf?arnumber=10491864

Reference21 articles.

1. Analysis of Dynamic Channel Bonding in Dense Networks of WLANs

2. To Bond or Not to Bond: An Optimal Channel Allocation Algorithm for Flexible Dynamic Channel Bonding in WLANs

3. Dynamic Channel Bonding in Spatially Distributed High-Density WLANs

4. An effective channel allocation algorithm to maximize system utility in heterogeneous DCB WLANs

5. To overlap or not to overlap: Enabling channel bonding in high-density WLANs

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