Reconfigurable Intelligent Surface-Assisted Key Generation for Millimeter Wave Communications



Lu, Tianyu, Chen, Liquan, Zhang, Junqing ORCID: 0000-0002-3502-2926, Chen, Chen and Duong, Trung Q
(2023) Reconfigurable Intelligent Surface-Assisted Key Generation for Millimeter Wave Communications. In: 2023 IEEE Wireless Communications and Networking Conference (WCNC), 2023-3-26 - 2023-3-29.

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Abstract

Physical layer key generation (PLKG) exploits the distributed entropy source of wireless channels to generate secret keys for legitimate users. When the millimeter wave (mmWave) channel is blocked, reconfigurable intelligent surfaces (RISs) have emerged as a prospective approach to constructing reflected channels and improving the secret key rate (SKR). This paper investigates the key generation scheme for the RIS-aided mmWave system. We study the beam domain channel model and exploit the sparsity of mmWave bands to reduce the pilot overhead. We propose a channel probing method to acquire the reciprocal angular information and channel gains. To analyze the SKR, we investigate the channel covariance matrix of beam domain channels. We find that the channel gains of beams are uncorrelated which increases the randomness of secret keys. Considering an eavesdropper, we derive the analytical expressions of SKR when the eavesdropping channel has overlapping clusters with the legitimate channel. Simulations validate that the proposed PLKG scheme outperforms existing schemes.

Item Type: Conference or Workshop Item (Unspecified)
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Uncontrolled Keywords: Reconfigurable intelligent surface, physical layer key generation, and millimeter wave communications
Divisions: Faculty of Science and Engineering > School of Electrical Engineering, Electronics and Computer Science
Depositing User: Symplectic Admin
Date Deposited: 20 Mar 2023 09:33
Last Modified: 15 Mar 2024 14:44
DOI: 10.1109/WCNC55385.2023.10119128
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3169159