University of Oulu

E. N. Egashira, D. P. M. Osorio, N. T. Nguyen and M. Juntti, "Secrecy Capacity Maximization for a Hybrid Relay-RIS Scheme in mmWave MIMO Networks," 2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring), 2022, pp. 1-6, doi: 10.1109/VTC2022-Spring54318.2022.9860450.

Secrecy capacity maximization for a hybrid relay-RIS scheme in mmWave MIMO networks

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Author: Egashira, Edson Nobuyuki1; Osorio, Diana Pamela Moya1; Nguyen, Nhan Thanh1;
Organizations: 1Centre for Wireless Communications, University of Oulu, P.O.Box 4500, FI-90014, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.4 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2022091258396
Language: English
Published: Institute of Electrical and Electronics Engineers, 2022
Publish Date: 2022-09-12
Description:

Abstract

The hybrid relay-reflecting intelligent surface (HRRIS) has been recently introduced as an efficient solution to overcome the double path loss and limited beamforming diversity of the conventional fully passive reflecting surface. This motivates us to investigate the application of the HR-RIS in improving the secrecy capacity of millimeter wave multiple-input-multiple-output (MIMO) systems with the presence of multi-antenna eavesdropper. The joint optimization of the transmit beamformer and the relay-reflecting coefficients at RIS is tackled via alternating optimization. In the proposed solution, a closed-form expression for the optimal transmit beamformer at the transmitter is derived, and a metaheuristic solution based on particle swarm optimization is proposed to optimize the active and passive elements at the HR-RIS. The simulation results verify that under various scenarios, the HR-RIS provides significant improvement in the secrecy capacity with respect to the conventional passive reflecting surface.

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Series: IEEE Vehicular Technology Conference
ISSN: 1090-3038
ISSN-L: 1090-3038
ISBN: 978-1-6654-8243-1
ISBN Print: 978-1-6654-8244-8
Pages: 1 - 6
DOI: 10.1109/vtc2022-spring54318.2022.9860450
OADOI: https://oadoi.org/10.1109/vtc2022-spring54318.2022.9860450
Host publication: 2022 IEEE 95th vehicular technology conference: (VTC2022-Spring), 19-22 June 2022, Helsinki, Finland
Conference: 2022 IEEE 95th vehicular technology conference (VTC2022-Spring)
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Subjects:
PSO
RIS
Funding: This work has been supported in part by Academy of Finland, 6G Flagship program (Grant 346208), FAITH Project (Grant 334280), as well as Infotech of Oulu Graduate School.
Academy of Finland Grant Number: 346208
334280
Detailed Information: 346208 (Academy of Finland Funding decision)
334280 (Academy of Finland Funding decision)
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