Power Control for D2D Communication Using Multi-Agent Reinforcement Learning

2018 IEEE/CIC International Conference on Communications in China (ICCC) ◽

10.1109/iccchina.2018.8641165 ◽

2018 ◽

Author(s):

Min Zhao ◽

Yifei Wei ◽

Mei Song ◽

Guo Da

Keyword(s):

Reinforcement Learning ◽

Power Control ◽

D2d Communication ◽

Download Full-text

A Multi-agent Reinforcement Learning Based Power Control Algorithm for D2D Communication Underlaying Cellular Networks

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering - Artificial Intelligence for Communications and Networks ◽

10.1007/978-3-030-22971-9_7 ◽

2019 ◽

pp. 77-90

Author(s):

Wentai Chen ◽

Jun Zheng

Keyword(s):

Reinforcement Learning ◽

Power Control ◽

Cellular Networks ◽

Control Algorithm ◽

D2d Communication ◽

Power Control Algorithm ◽

Download Full-text

Joint resource allocation and power control for D2D communication with deep reinforcement learning in MCC

Physical Communication ◽

10.1016/j.phycom.2020.101262 ◽

2021 ◽

Vol 45 ◽

pp. 101262

Author(s):

Dan Wang ◽

Hao Qin ◽

Bin Song ◽

Ke Xu ◽

Xiaojiang Du ◽

...

Keyword(s):

Resource Allocation ◽

Reinforcement Learning ◽

Power Control ◽

D2d Communication ◽

Joint Resource Allocation

Download Full-text

Channel Selection and Power Control for D2D Communication via Online Reinforcement Learning

ICC 2021 - IEEE International Conference on Communications ◽

10.1109/icc42927.2021.9501055 ◽

2021 ◽

Author(s):

Zhenfeng Sun ◽

Mohammad Reza Nakhai

Keyword(s):

Reinforcement Learning ◽

Power Control ◽

Channel Selection ◽

D2d Communication

Download Full-text

Power Control Based on Multi-Agent Deep Q Network for D2D Communication

2020 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) ◽

10.1109/icaiic48513.2020.9065192 ◽

2020 ◽

Author(s):

Shi Gengtian ◽

Takashi Koshimizu ◽

Megumi Saito ◽

Pan Zhenni ◽

Liu Jiang ◽

...

Keyword(s):

Power Control ◽

D2d Communication ◽

Download Full-text

Resource Allocation and Power Control Policy for Device-to-Device Communication Using Multi-Agent Reinforcement Learning

Computers Materials & Continua ◽

10.32604/cmc.2020.09130 ◽

2020 ◽

Vol 63 (3) ◽

pp. 1515-1532

Author(s):

Yifei Wei ◽

Yinxiang Qu ◽

Min Zhao ◽

Lianping Zhang ◽

F. Richard Yu

Keyword(s):

Resource Allocation ◽

Reinforcement Learning ◽

Power Control ◽

Control Policy ◽

Device To Device ◽

Multi Agent ◽

Device To Device Communication

Download Full-text

Distributed Power Control for Large Energy Harvesting Networks: A Multi-Agent Deep Reinforcement Learning Approach

IEEE Transactions on Cognitive Communications and Networking ◽

10.1109/tccn.2019.2949589 ◽

2019 ◽

Vol 5 (4) ◽

pp. 1140-1154 ◽

Author(s):

Mohit K. Sharma ◽

Alessio Zappone ◽

Mohamad Assaad ◽

Merouane Debbah ◽

Spyridon Vassilaras

Keyword(s):

Reinforcement Learning ◽

Energy Harvesting ◽

Power Control ◽

Large Energy ◽

Learning Approach ◽

Distributed Power ◽

Distributed Power Control ◽

Download Full-text

Multi -Agent Deep Reinforcement Learning based Power Control for Large Energy Harvesting Networks

2019 International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOPT) ◽

10.23919/wiopt47501.2019.9144098 ◽

2019 ◽

Author(s):

Mohit K. Sharma ◽

Alessio Zappone ◽

Merouane Debbah ◽

Mohamad Assaad

Keyword(s):

Reinforcement Learning ◽

Energy Harvesting ◽

Power Control ◽

Large Energy ◽

Download Full-text

Deep Multi-Agent Reinforcement Learning for Resource Allocation in D2D Communication Underlaying Cellular Networks

2020 21st Asia-Pacific Network Operations and Management Symposium (APNOMS) ◽

10.23919/apnoms50412.2020.9237060 ◽

2020 ◽

Author(s):

Xu Zhang ◽

Ziqi Lin ◽

Beichen Ding ◽

Bo Gu ◽

Yu Han

Keyword(s):

Resource Allocation ◽

Reinforcement Learning ◽

Cellular Networks ◽

D2d Communication ◽

Download Full-text

Multi-agent Deep Reinforcement Learning for Non-Cooperative Power Control in Heterogeneous Networks

GLOBECOM 2020 - 2020 IEEE Global Communications Conference ◽

10.1109/globecom42002.2020.9322443 ◽

2020 ◽

Author(s):

Lin Zhang ◽

Ying-Chang Liang

Keyword(s):

Reinforcement Learning ◽

Power Control ◽

Heterogeneous Networks ◽

Multi Agent ◽

Cooperative Power

Download Full-text

Deep Reinforcement Learning for Multi-Agent Power Control in Heterogeneous Networks

IEEE Transactions on Wireless Communications ◽

10.1109/twc.2020.3043009 ◽

2020 ◽

pp. 1-1

Author(s):

Lin Zhang ◽

Ying-Chang Liang

Keyword(s):

Reinforcement Learning ◽

Power Control ◽

Heterogeneous Networks ◽

Download Full-text