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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Bibliographic Details

Published in:	2021 IEEE Global Communications Conference (GLOBECOM) pp. 01 - 06
Main Authors:	Li, Hongyan, Yu, Shi, Lu, Xiaozhen, Xiao, Liang, Wang, Li-Chun
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.12.2021
Subjects:	Base stations Benchmark testing drones eavesdropping Knowledge engineering Network coding rein-forcement learning Reinforcement learning Resists Simulation
Online Access:	Get full text
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