Intelligent Reflecting Surface–Assisted Wireless Secret Key Generation against Multiple Eavesdroppers

• Main Authors: Huang, K. (Author), Liu, Y. (Author), Sun, X. (Author), Wang, L. (Author), Yang, S. (Author)
• Format: Article
• Language: English
• Published: MDPI 2022
• Subjects: convex–concave procedure; intelligent reflecting surface; physical layer secret key generation; semi-definite relaxation
• Online Access: View Fulltext in Publisher

 In this paper, we propose an improved physical layer key generation scheme that can maximize the secret key capacity by deploying intelligent reflecting surface (IRS) near the legitimate user aiming at improving its signal-to-noise ratio (SNR). We consider the scenario of multiple input single output (MISO) against multiple relevant eavesdroppers. We elaborately design and optimize the reflection coefficient matrix of IRS elements that can improve the legitimate user’s SNR through IRS passive beamforming and deteriorate the channel quality of eavesdroppers at the same time. We first derive the lower bound expression of the achievable key capacity, then solve the optimization problem based on semi-definite relaxation (SDR) and the convex–concave procedure (CCP) to maximize the secret key capacity. Simulation results show that our proposed scheme can significantly improve the secret key capacity and reduce hardware costs compared with other benchmark schemes. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.