Secret Key Generation for Intelligent Reflecting Surface Assisted Wireless Communication Networks
Zijie Ji, Phee Lep Yeoh, Deyou Zhang, Gaojie Chen, Yan Zhang, Zunwen He, Hao Yin, Yonghui li
Abstract
We propose and analyze secret key generation using intelligent reflecting surface (IRS) assisted wireless communication networks. To this end, we first formulate the minimum achievable secret key capacity for an IRS acting as a passive beamformer in the presence of multiple eavesdroppers. Next, we develop an optimization framework for the IRS reflecting coefficients based on the secret key capacity lower bound. To derive a tractable and efficient solution, we design and analyze a semidefinite relaxation (SDR) and successive convex approximation (SCA) based algorithm for the proposed optimization. Simulation results show that employing our IRS-based algorithm can significantly improve the secret key generation capacity for a wide-range of wireless channel parameters.