Deep Learning-Driven Throughput Maximization in Covert Communication for UAV-RIS Cognitive Systems

Deep Learning-Driven Throughput Maximization in Covert Communication for UAV-RIS Cognitive Systems

This paper examines a cognitive radio (CR) nonorthogonal multiple access (NOMA) system in which an unmanned aerial vehicle equipped with a reconfigurable intelligent surface (UAV-RIS) plays two roles: relaying and friendly jamming. The communication protocol has two phases. The first is an energy ha...

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Bibliographic Details
Main Authors: Van Nhan Vo, Nguyen Quoc Long, Viet-Hung Dang, Tu Dac Ho, Hung Tran, Symeon Chatzinotas, Dinh-Hieu Tran, Surasak Sanguanpong, Chakchai So-In
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Open Journal of the Communications Society
Subjects:
Cognitive radio (CR)
nonorthogonal multiple access (NOMA)
unmanned aerial vehicle (UAV)
RIS
covert communication
Online Access:https://ieeexplore.ieee.org/document/10980338/
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https://ieeexplore.ieee.org/document/10980338/

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