Impact of Channel Models on Performance Characterization of RIS-Assisted Wireless Systems

Jamali V, Ghanem W, Schober R, Poor HV (2023)

Publication Type: Conference contribution

Publication year: 2023

Publisher: Institute of Electrical and Electronics Engineers Inc.

Conference Proceedings Title: 17th European Conference on Antennas and Propagation, EuCAP 2023

Event location: Florence IT

ISBN: 9788831299077

DOI: 10.23919/EuCAP57121.2023.10133758

Abstract

The performance characterization of communication systems assisted by large reconfigurable intelligent surfaces (RISs) significantly depends on the adopted models for the underlying channels. Under unrealistic channel models, the system performance may be over- or under-estimated which yields inaccurate conclusions for the system design. In this paper, we review five channel models that are chosen to progressively improve the modeling accuracy for large RISs. For each channel model, we highlight the underlying assumptions, its advantages, and its limitations. We compare the system performance under the aforementioned channel models using RIS configuration algorithms from the literature and a new scalable algorithm proposed in this paper specifically for the configuration of extremely large RISs.

Authors with CRIS profile

Walid Ghanem Lehrstuhl für Digitale Übertragung Robert Schober Lehrstuhl für Digitale Übertragung

Involved external institutions

Technische Universität Darmstadt DE Germany (DE) Princeton University US United States (USA) (US)

How to cite

APA:

Jamali, V., Ghanem, W., Schober, R., & Poor, H.V. (2023). Impact of Channel Models on Performance Characterization of RIS-Assisted Wireless Systems. In 17th European Conference on Antennas and Propagation, EuCAP 2023. Florence, IT: Institute of Electrical and Electronics Engineers Inc..

MLA:

Jamali, Vahid, et al. "Impact of Channel Models on Performance Characterization of RIS-Assisted Wireless Systems." Proceedings of the 17th European Conference on Antennas and Propagation, EuCAP 2023, Florence Institute of Electrical and Electronics Engineers Inc., 2023.

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