Enhancing secrecy rate in cognitive radio networks via stackelberg game

Al Talabani, Ali, Deng, Yansha, Nallanathan, Arumugam and Nguyen, Huan X. ORCID logoORCID: https://orcid.org/0000-0002-4105-2558 (2016) Enhancing secrecy rate in cognitive radio networks via stackelberg game. IEEE Transactions on Communications, 64 (11) . pp. 4764-4775. ISSN 0090-6778 [Article] (doi:10.1109/TCOMM.2016.2589931)

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In this paper, a game theory based cooperation scheme is investigated to enhance the physical layer security in both primary and secondary transmissions of a cognitive radio network (CRN). In CRNs, the primary network may decide to lease its own spectrum for a fraction of time to the secondary nodes in exchange of appropriate remuneration. We consider the secondary transmitter node as a trusted relay for primary transmission to forward primary messages in a decode-and-forward (DF) fashion and, at the same time, allows part of its available power to be used to transmit artificial noise (i.e., jamming signal) to enhance primary and secondary secrecy rates. In order to allocate power between message and jamming signals, we formulate and solve the optimization problem for maximizing the secrecy rates under malicious attempts from EDs. We then analyse the cooperation between the primary and secondary nodes from a game-theoretic perspective where we model their interaction as a Stackelberg game with a theoretically proved and computed Stackelberg equilibrium. We show that the spectrum leasing based on trading secondary access for cooperation by means of relay and jammer is a promising framework for enhancing security in CRNs.

Item Type: Article
Research Areas: A. > School of Science and Technology > Design Engineering and Mathematics
Item ID: 20472
Notes on copyright: © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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Depositing User: Huan Nguyen
Date Deposited: 09 Sep 2016 10:36
Last Modified: 09 Jun 2022 04:38
URI: https://eprints.mdx.ac.uk/id/eprint/20472

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