Title
Utilizing Cooperative Jamming to Secure Cognitive Radio NOMA Networks
Abstract
In this paper, we propose an innovative framework to improve the physical layer security of cognitive radio nonorthogonal multiple access (CR-NOMA) networks. Specifically, we consider a cooperative spectrum-sharing mechanism, where a cognitive transmitter serves as a relay and assists primary/cognitive transmissions using the NOMA principle in the presence of a passive eavesdropper. Technically, we propose a new cooperative jamming scheme, where the primary/cognitive receivers and the primary transmitter are recruited as jammers to transmit artificial noise in order to intentionally confuse eavesdropper. Under a practical assumption that only the statistical channel state information of eavesdropper is available, the secrecy outage probability (SOP) is used as the performance metric. An optimization problem of maximizing the minimum confidential information rate among the primary and cognitive receivers is formulated. We devise a successive convex approximation based power allocation algorithm to efficiently solve the non-convex optimization problem. Our simulation results indicate that the proposed scheme outperforms the orthogonal multiple access based schemes in terms of minimum confidential information rate.
Year
DOI
Venue
2020
10.1109/GLOBECOM42002.2020.9322389
GLOBECOM 2020 - 2020 IEEE Global Communications Conference
Keywords
DocType
ISSN
secure cognitive radio NOMA networks,physical layer security,cognitive radio nonorthogonal multiple access networks,spectrum-sharing mechanism,cognitive transmitter,passive eavesdropper,jamming scheme,primary transmitter,minimum confidential information rate,primary receivers,successive convex approximation based power allocation algorithm,nonconvex optimization problem,orthogonal multiple access,CR-NOMA principle,SOP,secrecy outage probability
Conference
1930-529X
ISBN
Citations 
PageRank 
978-1-7281-8299-5
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Zheng Zhang100.68
Jian Chen201.35
Lu Lv3133.24
Qiang Ye432.39