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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
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| Publish Date: | 2022-09-12 |
| Description: |
AbstractThe 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. see all
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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: |
IEEE Vehicular Technology Conference |
| Type of Publication: |
A4 Article in conference proceedings |
| Field of Science: |
213 Electronic, automation and communications engineering, electronics |
| Subjects: | |
| 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) |
| Copyright information: |
© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |