Hierarchical Q-Learning Based UAV Secure Communication against Multiple UAV Adaptive Eavesdroppers

In this paper, we investigate secure unmanned aerial vehicle (UAV) communication in the presence of multiple UAV adaptive eavesdroppers (AEs), where each AE can conduct eavesdropping or jamming adaptively by learning others’ actions for degrading the secrecy rate more seriously. The one-leader and m...

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Veröffentlicht in:	Wireless communications and mobile computing 2020, Vol.2020 (2020), p.1-15
Hauptverfasser:	Tu, Jia, Yang, Weiwei, Sha, Nan, Liu, Jue, Yang, Lianxin
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Antennas Eavesdropping Electronic surveillance Game theory Jamming Machine learning Performance degradation Receivers & amplifiers Strategy Transmitters Unmanned aerial vehicles Wireless communications
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