Fetching the paper…
Reading the bibliography…
Recently Reinforcement Learning (RL) has been applied as an anti-adversarial remedy in wireless communication networks.
A Review of Cooperative Multi-Agent Deep Reinforcement Learning
Afshin OroojlooyJadid and Davood Hajinezhad. 2021 · 1908
Earlier work this paper cites.
Dynamic Programming
Richard Bellman. 1966 · 1966
Earlier work this paper cites.
Rayleigh Fading Channels in Mobile Digital Communication Systems .I. Characterization
B. Sklar. 1997 · 1997
Earlier work this paper cites.
Pei Gen Ye, Yuan Gen Wang, Jin Li, Liang Xiao, and Guopu Zhu. 2020 · 2002
Earlier work this paper cites.
Multi-agent Reinforcement Learning: An Overview
Lucian Buşoniu, Robert Babuška, and Bart De Schutter. 2010 · 2010
Earlier work this paper cites.
An Anti-jamming Stochastic Game for Cognitive Radio Networks
Beibei Wang, Yongle Wu, K. J.Ray Liu, and T. Charles Clancy. 2011 · 2011
Earlier work this paper cites.
Anti-jamming Games in Multi-channel Cognitive Radio Networks
Yongle Wu, Beibei Wang, K. J.Ray Liu, and T. Charles Clancy. 2012 · 2012
Earlier work this paper cites.
Competing Mobile Network Game: Embracing Anti-jamming and Jamming Strategies with Reinforcement Learning
Youngjune Gwon, Siamak Dastangoo, Carl Fossa, and H. T. Kung. 2013 · 2013
Earlier work this paper cites.
Playing Atari with Deep Reinforcement Learning
Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Alex Graves, Ioannis Antonoglou, Daan Wierstra, and Martin Riedmiller. 2013 · 2013
Earlier work this paper cites.
Jamming and anti-jamming techniques in wireless networks: A survey
Kanika Grover, Alvin Lim, and Qing Yang. 2014 · 2014
Earlier work this paper cites.
Game Theoretic Anti-jamming Dynamic Frequency Hopping and Rate Adaptation in Wireless Systems. In 2014 12th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt 2014 . 247–254
Manjesh K Hanawal, Mohammad J Abdel-Rahman, and Marwan Krunz. 2014 · 2014
Earlier work this paper cites.
Adam: A method for Stochastic Optimization
Diederik P. Kingma and Jimmy Lei Ba. 2015 · 2015
Earlier work this paper cites.
Securing Wireless Transmission against Reactive Jamming: A Stackelberg Game Framework. In 2015 IEEE Global Communications Conference (GLOBECOM) . 1–6
Xiao Tang, Pinyi Ren, Yichen Wang, Qinghe Du, and Li Sun. 2015 · 2015
Earlier work this paper cites.
Deep Reinforcement Learning with Double Q-learning
Hado van Hasselt, Arthur Guez, and David Silver. 2015 · 2015
Cited alongside, same era.
Tom Schaul, John Quan, Ioannis Antonoglou, and David Silver. 2016 · 2016
Cited alongside, same era.
Multi-Agent Reinforcement Learning based Cognitive Anti-jamming. In IEEE Wireless Communications and Networking Conference, WCNC . Institute of Electrical and Electronics Engineers Inc
Mohamed A. Aref, Sudharman K. Jayaweera, and Stephen Machuzak. 2017 · 2017
Cited alongside, same era.
Two-dimensional Anti-jamming Communication based on Deep Reinforcement Learning. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings . 2087–2091
Guoan Han, Liang Xiao, and H. Vincent Poor. 2017 · 2017
Cited alongside, same era.
Deep Reinforcement Learning Based Multi-User Anti-Jamming Strategy
Yue Bi, Yue Wu, and Cunqing Hua. 2019 · 2019
Later among the works it cites.
Continuous Control with Deep Reinforcement Learning
Timothy P. Lillicrap, Jonathan J. Hunt, Alexander Pritzel, Nicolas Heess, Tom Erez, Yuval Tassa, David Silver, and Daan Wierstra. 2019 · 2019
Later among the works it cites.
Applications of Deep Reinforcement Learning in Communications and Networking: A Survey
Nguyen Cong Luong, Dinh Thai Hoang, Shimin Gong, Dusit Niyato, Ping Wang, Ying Chang Liang, and Dong In Kim. 2019 · 2019
Later among the works it cites.
A Collaborative Multi-Agent Reinforcement Learning Anti-Jamming Algorithm in Wireless Networks
Fuqiang Yao and Luliang Jia. 2019 · 2019
Later among the works it cites.
Smart Jamming Attacks in 5G New Radio: A Review
Youness Arjoune and Saleh Faruque. 2020 · 2020
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Anti-Jamming Power Control Game in Unmanned Aerial Vehicle Networks. In 2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings , Vol. 2018-Janua. Institute of Electrical and Electronics Engineers Inc., 1–6
Shichao Lv, Liang Xiao, Qing Hu, Xiaoshan Wang, Changzhen Hu, and Limin Sun. 2017 · 2017
Cited alongside, same era.
User-Centric View of Unmanned Aerial Vehicle Transmission Against Smart Attacks
Liang Xiao, Caixia Xie, Minghui Min, and Weihua Zhuang. 2018 · 2017
Cited alongside, same era.
DQN-based Power Control for IoT Transmission against Jamming
Ye Chen, Yanda Li, Dongjin Xu, and Liang Xiao. 2018 · 2018
Cited alongside, same era.
Deep Learning for Launching and Mitigating Wireless Jamming Attacks
Tugba Erpek, Yalin E. Sagduyu, and Yi Shi. 2019 · 2018
Cited alongside, same era.
Yuxi Li. 2018 · 2018
Cited alongside, same era.
Anti-jamming Communications Using Spectrum Waterfall: A Deep Reinforcement Learning Approach
Xin Liu, Yuhua Xu, Luliang Jia, Qihui Wu, and Alagan Anpalagan. 2018 · 2018
Cited alongside, same era.
Deep learning for intelligent wireless networks: A comprehensive survey
Qian Mao, Fei Hu, and Qi Hao. 2018 · 2018
Cited alongside, same era.
Adversarial Deep Learning for Cognitive Radio Security: Jamming Attack and Defense Strategies
Yi Shi, Yalin E. Sagduyu, Tugba Erpek, Kemal Davaslioglu, Zhuo Lu, and Jason H. Li. 2018 · 2018
Cited alongside, same era.
Later among the works it cites.
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
Ryan Lowe, Yi Wu, Aviv Tamar, Jean Harb, Pieter Abbeel, and Igor Mordatch. 2020 · 2020
Later among the works it cites.
UAV-Aided Cellular Communications with Deep Reinforcement Learning against Jamming
Xiaozhen Lu, Liang Xiao, Canhuang Dai, and Huaiyu Dai. 2020 · 2020
Later among the works it cites.
Security and Efficiency Analysis of Anti-jamming Techniques
S. Prasadh and Sumit Jindal. 2020 · 2020
Later among the works it cites.
An Intelligent Anti-jamming Scheme for Cognitive Radio based on Deep Reinforcement Learning
Jianliang Xu, Huaxun Lou, Weifeng Zhang, and Gaoli Sang. 2020 · 2020
Later among the works it cites.
A Novel Distributed Multi-Agent Reinforcement Learning Algorithm Against Jamming Attacks
Ibrahim Elleuch, Ali Pourranjbar, and Georges Kaddoum. 2021 · 2021
Later among the works it cites.
Multi-Agent Deep Reinforcement Learning: A Survey
Sven Gronauer and Klaus Diepold. 2021 · 2021
Later among the works it cites.
Jamming Attacks and Anti-Jamming Strategies in Wireless Networks: A Comprehensive Survey
Hossein Pirayesh and Huacheng Zeng. 2021 · 2021
Later among the works it cites.
Intelligent Anti-Jamming Communication for Wireless Sensor Networks: A Multi-Agent Reinforcement Learning Approach
Quan Zhou, Yonggui Li, and Yingtao Niu. 2021 · 2021
Later among the works it cites.