Reconfigurable Intelligent Surface-induced Randomness for mmWave Key Generation

Yang, S., Han, H., Liu, Y., Guo, W., Pang, Z. and Zhang, L. (2023) Reconfigurable Intelligent Surface-induced Randomness for mmWave Key Generation. In: IEEE International Conference on Communications 2023, Rome, Italy, 28 May - 01 Jun 2023, pp. 2909-2914. ISBN 9781538674628 (doi: 10.1109/ICC45041.2023.10278950)

Abstract

Secret key generation in physical layer security exploits the unpredictable random nature of wireless channels. The millimeter-wave (mmWave) channels have limited multipath and channel randomness in static environments. In this paper, for mmWave secret key generation of physical layer security, we use a reconfigurable intelligent surface (RIS) to induce randomness directly in wireless environments, without adding complexity to transceivers. We consider RIS to have continuous individual phase shifts (CIPS) and derive the RIS-assisted reflection channel distribution with its parameters. Then, we propose continuous group phase shifts (CGPS) to increase the randomness specifically at legal parties. Since the continuous phase shifts are expensive to implement, we analyze discrete individual phase shifts (DIPS) and derive the corresponding channel distribution, which is dependent on the quantization bit. We then derive the secret key rate (SKR) to evaluate the randomness performance. With the simulation results verifying the analytical results, this work explains the mathematical principles and lays a foundation for future mmWave evaluation and optimization of artificial channel randomness.

• Item Type: Conference Proceedings
• Additional Information: Zhibo Pang’s work is partly funded by the Swedish Foundation for Strategic Research (SSF) through the project APR20-0023.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Zhang, Professor Lei and Liu, Mr Yihong
• Authors: Yang, S., Han, H., Liu, Y., Guo, W., Pang, Z., and Zhang, L.
• College/School: College of Science and Engineering > School of Engineering; College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity
• ISSN: 1938-1883
• ISBN: 9781538674628
• Copyright Holders: Copyright © 2023 IEEE
• First Published: First published in ICC 2023 - IEEE International Conference on Communications
• Publisher Policy: Reproduced in accordance with the publisher copyright policy