Enhanced physical layer security for cognitive radio systems through joint spectrum access and power allocation

Karimi, Mohammad; Sadough, Seyed Mohammad Sajad; Torabi, Mohammad

doi:10.1049/iet-com.2019.1369

Cited by 3 publications

(2 citation statements)

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“…In addition, CR networks are also vulnerable to malicious eavesdropping, which have drawn significant attention. The authors in [27] studied the spectrum access method and the PLS of CR networks, where some mathematical expressions for PLS performance metrics were derived. The authors in [28] proposed a game theory to optimize the secondary secrecy rate and the primary secrecy rate in CR networks, where the SU transmitted jamming signals for both the primary transmission and secondary transmission.…”

Section: Achieving Pls Of Cr Networkmentioning

confidence: 99%

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Secrecy Performance Maximization for Underlay CR Networks with an Energy Harvesting Jammer

Sun

Zhang

Chi

2021

Sensors

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This paper investigates the secrecy communication in an underlay cognitive radio (CR) networks with one primary user (PU) as well as multiple PUs, where the radio frequency (RF) energy-harvesting secondary user (SU) transmits the confidential information to the destination in the presence of a potential eavesdropper. We introduce a RF energy-harvesting secondary jammer (SJ) to secure the SU transmissions. The system works in time slots, where each time slot is divided into the energy transfer (ET) phase and the information transfer (IT) phase. In ET phase, the SU and SJ capture energy from the PU transmissions; in the IT phase, the SU uses the harvested energy to transmit information to the destination without causing the harmful interference to the PU transmissions, while the SJ utilizes the captured energy to generate jamming signals to the eavesdropper to secure the SU transmissions. We aim to maximize the secrecy rate for SU transmissionsby jointly optimizing the time allocation between ET phase and IT phase and the transmit power allocation at the SU and SJ. We first formulate the secrecy rate maximization as non-convex optimization problems. Then, we propose efficient nested form algorithms for the non-convex problems. In the outer layer, we obtain the optimal time allocation by the one dimension search method. In the inner layer, we obtain the optimal transmit power allocation by the DC programming, where the Lagrange duality method is employed to solve the convex approximation problem. Simulation results verify that the proposed schemes essentially improve the secrecy rate of the secondary network as compared to the benchmark schemes.

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Section: Achieving Pls Of Cr Networkmentioning

confidence: 99%

“…We target to maximize the secrecy rate in (33), subject to the time constraint in (1), the transmit power constraints in ( 28) and (30), and the energy causality constraints in (27) and (29). The secrecy rate maximization problem is formulated as…”

Section: Problem Formulationmentioning

confidence: 99%