TY - GEN
T1 - Impact of Channel Models on Performance Characterization of RIS-Assisted Wireless Systems
AU - Jamali, Vahid
AU - Ghanem, Walid
AU - Schober, Robert
AU - Poor, H. Vincent
N1 - Publisher Copyright:
© 2023 European Association for Antennas and Propagation.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85160722374&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85160722374&partnerID=8YFLogxK
U2 - 10.23919/EuCAP57121.2023.10133758
DO - 10.23919/EuCAP57121.2023.10133758
M3 - Conference contribution
AN - SCOPUS:85160722374
T3 - 17th European Conference on Antennas and Propagation, EuCAP 2023
BT - 17th European Conference on Antennas and Propagation, EuCAP 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 17th European Conference on Antennas and Propagation, EuCAP 2023
Y2 - 26 March 2023 through 31 March 2023
ER -