Dynamic Channel Access and Power Control in Wireless Interference Networks via Multi-Agent Deep Reinforcement Learning

IEEE Transactions on Vehicular Technology ◽

10.1109/tvt.2021.3131534 ◽

2021 ◽

pp. 1-1

Author(s):

Ziyang Lu ◽

Chen Zhong ◽

M. Cenk Gursoy

Keyword(s):

Reinforcement Learning ◽

Power Control ◽

Channel Access ◽

Wireless Interference ◽

Interference Networks ◽

Multi Agent ◽

Dynamic Channel

Download Full-text

Adversarial Reinforcement Learning in Dynamic Channel Access and Power Control

2021 IEEE Wireless Communications and Networking Conference (WCNC) ◽

10.1109/wcnc49053.2021.9417271 ◽

2021 ◽

Author(s):

Feng Wang ◽

M. Cenk Gursoy ◽

Senem Velipasalar

Keyword(s):

Reinforcement Learning ◽

Power Control ◽

Channel Access ◽

Dynamic Channel

Download Full-text

Dynamic Channel Access and Power Control via Deep Reinforcement Learning

2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall) ◽

10.1109/vtcfall.2019.8891391 ◽

2019 ◽

Author(s):

Ziyang Lu ◽

M. Cenk Gursoy

Keyword(s):

Reinforcement Learning ◽

Power Control ◽

Channel Access ◽

Dynamic Channel

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

A Globally Optimal Energy-Efficient Power Control Framework and Its Efficient Implementation in Wireless Interference Networks

IEEE Transactions on Signal Processing ◽

10.1109/tsp.2020.3000328 ◽

2020 ◽

Vol 68 ◽

pp. 3887-3902

Author(s):

Bho Matthiesen ◽

Alessio Zappone ◽

Karl-Ludwig Besser ◽

Eduard A. Jorswieck ◽

Merouane Debbah

Keyword(s):

Power Control ◽

Energy Efficient ◽

Efficient Implementation ◽

Wireless Interference ◽

Optimal Energy ◽

Interference Networks ◽

Control Framework ◽

Efficient Power

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

Energy-Efficient Power Control for Wireless Interference Networks

2015 IEEE Global Communications Conference (GLOBECOM) ◽

10.1109/glocom.2014.7416947 ◽

2014 ◽

Author(s):

Lukai Xu ◽

Guanding Yu ◽

Daquan Feng ◽

Geoffrey Ye Li ◽

Huazi Zhang

Keyword(s):

Power Control ◽

Energy Efficient ◽

Wireless Interference ◽

Interference Networks ◽

Efficient Power

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