Primary-User-Friendly Dynamic Spectrum Anti-Jamming Access: A GAN-Enhanced Deep Reinforcement Learning Approach

IEEE Wireless Communications Letters ◽

10.1109/lwc.2021.3125337 ◽

2021 ◽

pp. 1-1

Author(s):

Hao Han ◽

Yifan Xu ◽

Zhu Jin ◽

Wen Li ◽

Xueqiang Chen ◽

...

Keyword(s):

Reinforcement Learning ◽

Primary User ◽

Dynamic Spectrum ◽

Learning Approach ◽

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A Reinforcement Learning Approach for Dynamic Spectrum Anti-jamming in Fading Environment

2018 IEEE 18th International Conference on Communication Technology (ICCT) ◽

10.1109/icct.2018.8600218 ◽

2018 ◽

Author(s):

Lijun Kong ◽

Yuhua Xu ◽

Yuli Zhang ◽

Xufang Pei ◽

Mingxing Ke ◽

...

Keyword(s):

Reinforcement Learning ◽

Dynamic Spectrum ◽

Learning Approach

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Dynamic Spectrum Anti-Jamming in Broadband Communications: A Hierarchical Deep Reinforcement Learning Approach

IEEE Wireless Communications Letters ◽

10.1109/lwc.2020.2999333 ◽

2020 ◽

Vol 9 (10) ◽

pp. 1616-1619

Author(s):

Yangyang Li ◽

Yuhua Xu ◽

Yitao Xu ◽

Xin Liu ◽

Ximing Wang ◽

...

Keyword(s):

Reinforcement Learning ◽

Dynamic Spectrum ◽

Learning Approach ◽

Broadband Communications

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Dynamic Spectrum Interaction of UAV Flight Formation Communication With Priority: A Deep Reinforcement Learning Approach

IEEE Transactions on Cognitive Communications and Networking ◽

10.1109/tccn.2020.2973376 ◽

2020 ◽

Vol 6 (3) ◽

pp. 892-903 ◽

Author(s):

Yun Lin ◽

Meiyu Wang ◽

Xianglong Zhou ◽

Guoru Ding ◽

Shiwen Mao

Keyword(s):

Reinforcement Learning ◽

Dynamic Spectrum ◽

Learning Approach ◽

Flight Formation

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A Reinforcement Learning Approach to Dynamic Spectrum Access in Internet-of-Things Networks

ICC 2019 - 2019 IEEE International Conference on Communications (ICC) ◽

10.1109/icc.2019.8762091 ◽

2019 ◽

Author(s):

Han Cha ◽

Seong-Lyun Kim

Keyword(s):

Reinforcement Learning ◽

Internet Of Things ◽

Dynamic Spectrum Access ◽

Dynamic Spectrum ◽

Learning Approach ◽

Spectrum Access

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A Deep Reinforcement Learning Approach to Fair Distributed Dynamic Spectrum Access

MobiQuitous 2020 - 17th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services ◽

10.1145/3448891.3448935 ◽

2020 ◽

Author(s):

Syed Qaisar Jalil ◽

Mubashir Husain Rehmani ◽

Stephan Chalup

Keyword(s):

Reinforcement Learning ◽

Dynamic Spectrum Access ◽

Dynamic Spectrum ◽

Learning Approach ◽

Spectrum Access

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Service Chaining Offloading Decision in the EdgeAI: A Deep Reinforcement Learning Approach

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

10.23919/apnoms50412.2020.9237048 ◽

2020 ◽

Author(s):

Minkyun Lee ◽

Choong Seon Hong

Keyword(s):

Reinforcement Learning ◽

Learning Approach

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Emergent Control of MPSoC Operation by a Hierarchical Supervisor / Reinforcement Learning Approach

2020 Design, Automation & Test in Europe Conference & Exhibition (DATE) ◽

10.23919/date48585.2020.9116574 ◽

2020 ◽

Author(s):

Florian Maurer ◽

Bryan Donyanavard ◽

Amir M. Rahmani ◽

Nikil Dutt ◽

Andreas Herkersdorf

Keyword(s):

Reinforcement Learning ◽

Learning Approach

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Energy-efficient UAV trajectory design for backscatter communication: A deep reinforcement learning approach

China Communications ◽

10.23919/jcc.2020.10.009 ◽

2020 ◽

Vol 17 (10) ◽

pp. 129-141

Author(s):

Yiwen Nie ◽

Junhui Zhao ◽

Jun Liu ◽

Jing Jiang ◽

Ruijin Ding

Keyword(s):

Reinforcement Learning ◽

Energy Efficient ◽

Learning Approach ◽

Trajectory Design ◽

Backscatter Communication

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Policy based reinforcement learning approach Of Jobshop scheduling with high level deadlock detection

10.31274/etd-180810-1488 ◽

2014 ◽

Author(s):

Mengmeng Chen

Keyword(s):

Reinforcement Learning ◽

Learning Approach ◽

Deadlock Detection ◽

Jobshop Scheduling ◽

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Author response for "Deep learning and reinforcement learning approach on microgrid"

10.1002/2050-7038.12531/v2/response1 ◽

2020 ◽

Author(s):

Kumar Chandrasekaran ◽

Prabaakaran Kandasamy ◽

Srividhya Ramanathan

Keyword(s):

Deep Learning ◽

Reinforcement Learning ◽

Author Response ◽

Learning Approach

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