Game-Theoretic Learning Anti-Jamming Approaches in Wireless Networks
Author:
Affiliation:
1. Space Engineering University,China
2. Nanjing University of Aeronautics and Astronautics,China
3. National University of Defense Technology,China
Funder
National Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Computer Science Applications
Link
http://xplorestaging.ieee.org/ielx7/35/9776595/09777258.pdf?arnumber=9777258
Reference15 articles.
1. A Game-Theoretic Learning Approach for Anti-Jamming Dynamic Spectrum Access in Dense Wireless Networks
2. A Collaborative Multi-Agent Reinforcement Learning Anti-Jamming Algorithm in Wireless Networks;yao;IEEE Commun Lett,2016
3. A Learning-Based Spectrum Access Stackelberg Game: Friendly Jammer-Assisted Communication Confrontation
4. Smart Home: Cognitive Interactive People-Centric Internet of Things
5. Opportunistic Spectrum Access with Spatial Reuse: Graphical Game and Uncoupled Learning Solutions
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