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Security-Reliability Tradeoff Analysis for Underlay Cognitive Two-Way Relay Networks

Cao, Zhanghua, Ji, Xiaodong, Wang, Jue, Zhang, Shibing, Ji, Yancheng, Wang, Jiangzhou (2019) Security-Reliability Tradeoff Analysis for Underlay Cognitive Two-Way Relay Networks. IEEE Transactions on Wireless Communications, 18 (12). pp. 6030-6042. ISSN 1536-1276. (doi:10.1109/TWC.2019.2941944) (KAR id:79639)

Abstract

We consider an underlay wiretap cognitive two-way relay network (CTWRN), where two secondary sources exchange their messages via multiple secondary decode-and-forward digital network coding relays in the presence of an eavesdropper by using a three-phase time division broadcast protocol and sharing the licensed spectrum of primary users. To mitigate eavesdropping attacks, an artificial noise (AN)-aided opportunistic relay selection scheme, called generalized max-min (GMM) relay selection is proposed to enhance physical layer security for the wiretap CTWRNs. The performance of the GMM scheme is analyzed, and evaluated by the exact closed-form outage probability and intercept probability. Additionally, we also provide asymptotic approximations for the outage probability and intercept probability at high signal-to-noise ratio. For comparison, we analyze the performance of the conventional max-min (MM) relay selection scheme as well. It is shown that the GMM scheme outperforms the MM scheme in terms of the security-reliability tradeoff (SRT), where the security and reliability are quantified by the intercept probability and outage probability, respectively. Moreover, the SRTs of the MM and GMM schemes can be substantially improved by increasing the number of secondary relays, while the improvement of the GMM scheme is more evident than that of the MM scheme.

Item Type: Article
DOI/Identification number: 10.1109/TWC.2019.2941944
Uncontrolled keywords: Physical layer security, security-reliability tradeoff, cognitive two-way relay networks, artificial noise, relay selection
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Jiangzhou Wang
Date Deposited: 20 Jan 2020 12:02 UTC
Last Modified: 04 Mar 2024 16:21 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/79639 (The current URI for this page, for reference purposes)

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