Individual Channel Estimation for RIS-Aided mm Wave Communication Systems
Zhou G, Pan C, Peng Z, Schober R (2023)
Publication Type: Conference contribution
Publication year: 2023
Journal
Publisher: Institute of Electrical and Electronics Engineers Inc.
Pages Range: 2912-2917
Conference Proceedings Title: Proceedings - IEEE Global Communications Conference, GLOBECOM
Event location: Kuala Lumpur, MYS
ISBN: 9798350310900
DOI: 10.1109/GLOBECOM54140.2023.10437229
Abstract
We propose new pilot transmission protocols for acquiring channel state information (CSI) of individual reconfig-urable intelligent surface (RIS) assisted channels. Our approach addresses the challenge of individual CSI acquisition when the RIS lacks sensing and signal processing capabilities. We use monostatic and bistatic full-duplex (FD) base stations (BSs) and exploit the reciprocity of the uplink and downlink channels to design channel estimation algorithms. Specifically, a unified estimation framework is proposed to estimate the CSI based on geometric channel models for both types of FD BSs. To handle the angle estimation required as part of the proposed framework, we further investigate a high-accuracy algorithm based on atomic norm minimization (ANM) and a low-complexity algorithm based on orthogonal matching pursuit (OMP). Simulation results reveal that the proposed ANM based estimation scheme for bistatic BSs outperforms that for monostatic BSs, since the former requires a identical pilot overhead and achieves a similar estimation accuracy while having a much simpler hardware implementation.
Authors with CRIS profile
Gui Zhou
Lehrstuhl für Digitale Übertragung (IDC)
Robert Schober
Lehrstuhl für Digitale Übertragung (IDC)
Involved external institutions
China (CN)
Canada (CA)How to cite
APA:
Zhou, G., Pan, C., Peng, Z., & Schober, R. (2023). Individual Channel Estimation for RIS-Aided mm Wave Communication Systems. In Proceedings - IEEE Global Communications Conference, GLOBECOM (pp. 2912-2917). Kuala Lumpur, MYS: Institute of Electrical and Electronics Engineers Inc..
MLA:
Zhou, Gui, et al. "Individual Channel Estimation for RIS-Aided mm Wave Communication Systems." Proceedings of the 2023 IEEE Global Communications Conference, GLOBECOM 2023, Kuala Lumpur, MYS Institute of Electrical and Electronics Engineers Inc., 2023. 2912-2917.
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