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

Vahid Jamali, Walid Ghanem, Robert Schober, H. Vincent Poor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

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.

Original languageEnglish (US)
Title of host publication17th European Conference on Antennas and Propagation, EuCAP 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9788831299077
DOIs
StatePublished - 2023
Event17th European Conference on Antennas and Propagation, EuCAP 2023 - Florence, Italy
Duration: Mar 26 2023Mar 31 2023

Publication series

Name17th European Conference on Antennas and Propagation, EuCAP 2023

Conference

Conference17th European Conference on Antennas and Propagation, EuCAP 2023
Country/TerritoryItaly
CityFlorence
Period3/26/233/31/23

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Hardware and Architecture
  • Instrumentation

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