Learning Fair and Efficient Multiple Access Schemes with Decomposed MADDPG-Reference-Cited by-同舟云学术

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Learning Fair and Efficient Multiple Access Schemes with Decomposed MADDPG

Published:2023-12-17 Issue: Volume:2 Page:1-6
ISSN:
Container-title:2023 International Conference on Future Communications and Networks (FCN)
language:
Short-container-title:

Author:

Liu Zhaoyang¹,Lin Haoxin²,Wang Xijun¹,Gong Jie³,Chen Xiang¹

Affiliation:

1. Sun Yat-sen University,School of Electronics and Information Technology,Guangzhou,China,510006

2. Nanjing University,State Key Lab of Novel Software Technology,Nanjing,China,210023

3. Sun Yat-sen University,Guangdong Key Laboratory of Information Security Technology, School of Computer Science and Engineering,Guangzhou,China,510006

Funder

National Natural Science Foundation of China

Ministry of Education

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10543252/10543233/10544152.pdf?arnumber=10544152

Reference21 articles.

1. Ericsson Mobility Report (2022),2022

2. Contention Resolution in Wi-Fi 6-Enabled Internet of Things Based on Deep Learning

3. Adaptive Contention Window Design Using Deep Q-Learning

4. Contention Window Optimization in IEEE 802.11ax Networks with Deep Reinforcement Learning

5. Mean-field MARL-based Priority-Aware CSMA/CA Strategy in Large-Scale MANETs

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