Drone-Aided Network Coding for Secure Wireless Communications: A Reinforcement Learning Approach

This study investigates how base stations (BSs) apply network coding to protect the downlink data and how drones relay the coded packets to resist active eavesdropping that performs jamming to induce the BS to raise the transmit power and thus steal more data. We present a drone-aided network coding...

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Vydané v:	2021 IEEE Global Communications Conference (GLOBECOM) s. 01 - 06
Hlavní autori:	Li, Hongyan, Yu, Shi, Lu, Xiaozhen, Xiao, Liang, Wang, Li-Chun
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.12.2021
Predmet:	Base stations Benchmark testing drones eavesdropping Knowledge engineering Network coding rein-forcement learning Reinforcement learning Resists Simulation
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