Reconfigurable Intelligent Surface-Assisted Secure Communication in Cognitive Radio Systems

Xinshui Wang (), Xu Wang, Jimin Ge, Zhibin Liu, Yuefeng Ma and Xingwang Li
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Xinshui Wang: School of Computer Science, Qufu Normal University, Rizhao 276826, China
Xu Wang: School of Computer Science, Qufu Normal University, Rizhao 276826, China
Jimin Ge: School of Computer Science, Qufu Normal University, Rizhao 276826, China
Zhibin Liu: School of Computer Science, Qufu Normal University, Rizhao 276826, China
Yuefeng Ma: School of Computer Science, Qufu Normal University, Rizhao 276826, China
Xingwang Li: School of Physics and Electronic Information Engineering, Henan Polytechnic University, Jiaozuo 454099, China

Energies, 2024, vol. 17, issue 2, 1-16

Abstract: A reconfigurable intelligent reflective surface (RIS)-assisted cognitive radio (CR) multiple-input multiple-output (MIMO) secure communication system is considered. In the presence of an eavesdropper, a primary base station (PBS) and a cognitive base station (CBS) equipped with multiple antennas communicate to a primary user (PU) and a secondary user (SU), respectively. In order to maximize the achievable secrecy rate of the system, the secrecy rate maximization problem is first transformed into a secure energy efficiency (SEE) problem using an objective function. Then, the security energy efficiency of the system is maximized by jointly optimizing the transmit beam formation of the base station and the reflected beam formation of the smart reflecting surface under the conditions that the total transmitted power constraint and the interference power constraint are satisfied. To address the difficulty in solving the resulting optimization problem, we apply an algorithm based on alternating optimization and semidefinite relaxation, as well as Dinklbach’s algorithm, to solve the problem. Simulation results show that this method can significantly improve the safety energy efficiency of the system.

Keywords: intelligent reflective surfaces; physical layer security; cognitive radio (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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