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Anti-Intelligent UAV Jamming Strategy via Deep Q-Networks
2019
ICC 2019 - 2019 IEEE International Conference on Communications (ICC)
The downlink communications are vulnerable to intelligent unmanned aerial vehicle (UAV) jamming attack. In this paper, we propose a novel anti-intelligent UAV jamming strategy, in which the ground users can learn the optimal trajectory to elude such jamming. The problem is formulated as a stackelberg dynamic game, where the UAV jammer acts as a leader and the ground users act as followers. First, as the UAV jammer is only aware of the incomplete channel state information (CSI) of the ground
doi:10.1109/icc.2019.8762016
dblp:conf/icc/GaoQJN19
fatcat:akifnru4aze5xjdwh3uorid5li