Hybrid Precoding for Secure Transmission in Reflect-Array-Assisted Massive MIMO Systems
Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten › Beitrag in Konferenzband › Beigetragen › Begutachtung
Beitragende
Abstract
Recently, a hybrid analog-digital architecture has been proposed for multiuser MIMO transmission in the millimeter-wave spectrum using reflect-arrays. The architecture exhibits scalability and high energy-efficiency while keeping the transmitter cost-efficient. Inspired by this architecture, we design a secure multiuser hybrid analog-digital precoding scheme. This scheme utilizes the method of regularized least-squares to shape the downlink beamformers, such that the signal received via malicious terminals is effectively suppressed. Numerical investigations depict high robustness of this scheme against the density of malicious terminals, as well as the quality of overhearing channels. Such properties along with high efficiency of the transmitter imply that the proposed scheme is an effective candidate for secure communication in multiuser millimeter-wave massive MIMO systems.
Details
Originalsprache | Englisch |
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Titel | 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020 - Proceedings |
Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers Inc. |
Seiten | 8693-8697 |
Seitenumfang | 5 |
ISBN (elektronisch) | 978-1-5090-6631-5 |
Publikationsstatus | Veröffentlicht - Mai 2020 |
Peer-Review-Status | Ja |
Extern publiziert | Ja |
Publikationsreihe
Reihe | International Conference on Acoustics, Speech, and Signal Processing (ICASSP) |
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Band | 2020-May |
ISSN | 1520-6149 |
Konferenz
Titel | 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020 |
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Dauer | 4 - 8 Mai 2020 |
Stadt | Barcelona |
Land | Spanien |
Externe IDs
ORCID | /0000-0002-1702-9075/work/165878300 |
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Schlagworte
Ziele für nachhaltige Entwicklung
ASJC Scopus Sachgebiete
Schlagwörter
- Hybrid analog-digital precoding, massive MIMO, reflect-arrays, regularized least-squares