Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/11436
Title: Physical Layer Security of Overlay Cognitive NOMA Systems with Control-Jamming
Authors: Yadav, Kajal
Upadhyay, Prabhat Kumar
Keywords: Cognitive radio;Cognitive systems;Decoding;Fading (radio);Fading channels;Intelligent systems;Monte Carlo methods;Network layers;Signal to noise ratio;Control-jamming;Decode-and-forward;Maximal-ratio combining;Multiple access;Multiple access systems;Nakagami-m fading;Non-orthogonal;Non-orthogonal multiple access;Physical layer security;Secrecy outage probabilities;Jamming
Issue Date: 2022
Publisher: Institute of Electrical and Electronics Engineers Inc.
Citation: Yadav, K., Upadhyay, P. K., Lehtomaki, J., & Moualeu, J. M. (2022). Physical layer security of overlay cognitive NOMA systems with control-jamming. Paper presented at the IEEE Vehicular Technology Conference, , 2022-September doi:10.1109/VTC2022-Fall57202.2022.10012829 Retrieved from www.scopus.com
Abstract: In this paper, we investigate the physical layer security (PLS) of an overlay cognitive non-orthogonal multiple access (NOMA) system with control-jamming (CJ) under Nakagami-m fading. Herein, a cooperative decode-and-forward (DF) relaying technique is adopted at the secondary transmitter, while a maximal ratio combining (MRC) scheme is employed at the primary destination in order to improve the secrecy performance of the underlying system. Under this setup, we derive analytical expressions for the secrecy outage probability (SOP) and the strictly positive secrecy capacity (SPSC). Moreover, we obtain simple and explicit expressions of the SOP in the high signal-to-noise ratio (SNR) region to get useful insights on the system design for both the cases of without and with jamming. Finally, Monte Carlo simulations are provided to: (i) demonstrate the effectiveness and superiority of the proposed system with jamming over its non-jamming counterpart in terms of security
(ii) verify the accuracy of the proposed analytical framework. © 2022 IEEE.
URI: https://doi.org/10.1109/VTC2022-Fall57202.2022.10012829
https://dspace.iiti.ac.in/handle/123456789/11436
ISBN: 978-1665454681
ISSN: 1550-2252
Type of Material: Conference Paper
Appears in Collections:Department of Electrical Engineering

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