Reinforcement Learning Based Network Coding for Drone-Aided Secure Wireless Communications

Active eavesdropper sends jamming signals to raise the transmit power of base stations and steal more information from cellular systems. Network coding resists the active eavesdroppers that cannot obtain all the data flows, but highly relies on the wiretap channel states that are rarely known in wir...

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Bibliographic Details
Published in:	IEEE transactions on communications Vol. 70; no. 9; pp. 5975 - 5988
Main Authors:	Xiao, Liang, Li, Hongyan, Yu, Shi, Zhang, Yi, Wang, Li-Chun, Ma, Shaodan
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.09.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Cellular communication Coding Drones Eavesdropping Energy consumption Jamming Learning Network coding Network latency Neural networks Optimization Radio equipment reinforcement learning Relays Resource management secure communications Wireless communications Wireless networks Wiretapping
ISSN:	0090-6778, 1558-0857
Online Access:	Get full text
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