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Electrical Engineering and Systems Science > Signal Processing

arXiv:2211.13122 (eess)
[Submitted on 16 Oct 2022 (v1), last revised 17 Jan 2023 (this version, v2)]

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

Authors:Vahid Jamali, Walid Ghanem, Robert Schober, H. Vincent Poor
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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.
Comments: 7 pages, 4 figures; in 17th European Conference on Antennas and Propagation
Subjects: Signal Processing (eess.SP); Emerging Technologies (cs.ET); Information Theory (cs.IT)
Cite as: arXiv:2211.13122 [eess.SP]
  (or arXiv:2211.13122v2 [eess.SP] for this version)
  https://doi.org/10.48550/arXiv.2211.13122

Submission history

From: Vahid Jamali [view email]
[v1] Sun, 16 Oct 2022 09:44:04 UTC (414 KB)
[v2] Tue, 17 Jan 2023 09:22:27 UTC (274 KB)
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