Game-Theoretic Learning Anti-Jamming Approaches in Wireless Networks

In this article, the anti-jamming communication problem is investigated from a game-theoretic learning perspective. By exploring and analyzing intelligent communication, we present characteristics of jammers requirements an approach. Such approach required self-sensing, self-decision making, self-coordination, self-evaluation, ability. Then (GTLAJ) paradigm proposed, its framework challenges are introduced. Moreover, through three cases (i.e., Stackelberg game, Markov hypergraph-based game), different game models applications discussed, some future directions presented.