Deep Multi-Agent Reinforcement Learning Based Cooperative Edge Caching in Wireless Networks

Multi-Agent Deep Reinforcement Learning Based Cooperative Edge Caching for Ultra-Dense Next-Generation Networks

IEEE Transactions on Communications ◽

10.1109/tcomm.2020.3044298 ◽

2020 ◽

pp. 1-1

Author(s):

Shuangwu Chen ◽

Zhen Yao ◽

Xiaofeng Jiang ◽

Jian Yang ◽

Lajos Hanzo

Keyword(s):

Reinforcement Learning ◽

Next Generation Networks ◽

Next Generation ◽

Multi Agent ◽

Communications in Computer and Information Science - Artificial Intelligence and Security ◽

A Decentralized Multi-agent Reinforcement Learning Approach for Resource Sharing and Allocation in Renewable Energy Powered Wireless Networks

10.1007/978-981-15-8101-4_57 ◽

2020 ◽

pp. 640-651

Author(s):

Yu Gong ◽

Yifei Wei ◽

Qiao Li ◽

Lianping Zhang ◽

Xiaojun Wang

Keyword(s):

Wireless Networks ◽

Renewable Energy ◽

Reinforcement Learning ◽

Resource Sharing ◽

Learning Approach ◽

2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) ◽

Resource Management in Wireless Networks via Multi-Agent Deep Reinforcement Learning

10.1109/spawc48557.2020.9154250 ◽

2020 ◽

Cited By ~ 2

Author(s):

Navid Naderializadeh ◽

Jaroslaw Sydir ◽

Meryem Simsek ◽

Hosein Nikopour

Keyword(s):

Wireless Networks ◽

Reinforcement Learning ◽

Resource Management ◽

Deep Multi‐Agent Reinforcement Learning for Cooperative Edge Caching

Machine Learning for Future Wireless Communications ◽

10.1002/9781119562306.ch21 ◽

2019 ◽

pp. 439-457

Author(s):

M. Cenk Gursoy ◽

Chen Zhong ◽

Senem Velipasalar

Keyword(s):

Reinforcement Learning ◽

Multi Agent ◽

Resource Management in Wireless Networks via Multi-Agent Deep Reinforcement Learning

IEEE Transactions on Wireless Communications ◽

10.1109/twc.2021.3051163 ◽

2021 ◽

pp. 1-1

Author(s):

Navid Naderializadeh ◽

Jaroslaw Sydir ◽

Meryem Simsek ◽

Hosein Nikopour

Keyword(s):

Wireless Networks ◽

Reinforcement Learning ◽

Resource Management ◽

A Collaborative Multi-Agent Reinforcement Learning Anti-Jamming Algorithm in Wireless Networks

IEEE Wireless Communications Letters ◽

10.1109/lwc.2019.2904486 ◽

2019 ◽

Vol 8 (4) ◽

pp. 1024-1027 ◽

Cited By ~ 14

Author(s):

Fuqiang Yao ◽

Luliang Jia

Keyword(s):

Wireless Networks ◽

Reinforcement Learning ◽

2020 IEEE 17th International Conference on Mobile Ad Hoc and Sensor Systems (MASS) ◽

Multi-Agent Reinforcement Learning for Cooperative Edge Caching in Internet of Vehicles

10.1109/mass50613.2020.00062 ◽

2020 ◽

Author(s):

Kai Jiang ◽

Huan Zhou ◽

Deze Zeng ◽

Jie Wu

Keyword(s):

Reinforcement Learning ◽

Internet Of Vehicles ◽

Multi Agent ◽

2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications ◽

Throughput Maximization in C-RAN Enabled Virtualized Wireless Networks via Multi-Agent Deep Reinforcement Learning

10.1109/pimrc48278.2020.9217287 ◽

2020 ◽

Author(s):

Maryam Mohsenivatani ◽

Mostafa Darabi ◽

Saeedeh Parsaeefard ◽

Mehrdad Ardebilipour ◽

Behrouz Maham

Keyword(s):

Wireless Networks ◽

Reinforcement Learning ◽

Throughput Maximization ◽

Deep Reinforcement Learning-Based Edge Caching in Wireless Networks

IEEE Transactions on Cognitive Communications and Networking ◽

10.1109/tccn.2020.2968326 ◽

2020 ◽

Vol 6 (1) ◽

pp. 48-61 ◽

Cited By ~ 7

Author(s):

Chen Zhong ◽

M. Cenk Gursoy ◽

Senem Velipasalar

Keyword(s):

Wireless Networks ◽

Reinforcement Learning ◽

Multi-Agent Reinforcement Learning based Distributed Channel Access for Next Generation Wireless Networks

IEEE Journal on Selected Areas in Communications ◽

10.1109/jsac.2022.3143251 ◽

2022 ◽

pp. 1-1

Author(s):

Ziyang Guo ◽

Zhenyu Chen ◽

Peng Liu ◽

Jianjun Luo ◽

Xun Yang ◽

...

Keyword(s):

Wireless Networks ◽

Reinforcement Learning ◽

Channel Access ◽

Next Generation ◽

Next Generation Wireless Networks ◽