Title
Secret Key Generation for Intelligent Reflecting Surface Assisted Wireless Communication Networks
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.
Year
DOI
Venue
2021
10.1109/TVT.2020.3045728
IEEE Transactions on Vehicular Technology
Keywords
DocType
Volume
Intelligent reflecting surface,physical layer security,secret key generation,semidefinite relaxation,successive convex approximation
Journal
70
Issue
ISSN
Citations 
1
0018-9545
2
PageRank 
References 
Authors
0.37
0
8
Name
Order
Citations
PageRank
Zijie Ji192.86
Phee Lep Yeoh271445.91
Deyou Zhang320.37
Gaojie Chen420.37
Yan Zhang53611.36
Zunwen He6114.95
Hao Yin781.16
Yonghui Li83393253.70