Jamali, Vahid ; Ghanem, Walid ; Schober, Robert ; Poor, H. Vincent (2023)
Impact of Channel Models on Performance Characterization of RIS-Assisted Wireless Systems.
17th European Conference on Antennas and Propagation (EuCAP 2023). Florence, Italy (26.03.2023-31.03.2023)
doi: 10.23919/EuCAP57121.2023.10133758
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
The performance characterization of communication systems assisted by large reconfigurable intelligent surfaces (RISs) significantly depends on the adopted models for theunderlying channels. Under unrealistic channel models, the system performance may be over- or underestimated 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.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2023 |
| Autor(en): | Jamali, Vahid ; Ghanem, Walid ; Schober, Robert ; Poor, H. Vincent |
| Art des Eintrags: | Bibliographie |
| Titel: | Impact of Channel Models on Performance Characterization of RIS-Assisted Wireless Systems |
| Sprache: | Englisch |
| Publikationsjahr: | 31 Mai 2023 |
| Verlag: | IEEE |
| Buchtitel: | European Conference on Antennas and Propagation (EuCAP) |
| Veranstaltungstitel: | 17th European Conference on Antennas and Propagation (EuCAP 2023) |
| Veranstaltungsort: | Florence, Italy |
| Veranstaltungsdatum: | 26.03.2023-31.03.2023 |
| DOI: | 10.23919/EuCAP57121.2023.10133758 |
| Zugehörige Links: | |
| Kurzbeschreibung (Abstract): | The performance characterization of communication systems assisted by large reconfigurable intelligent surfaces (RISs) significantly depends on the adopted models for theunderlying channels. Under unrealistic channel models, the system performance may be over- or underestimated 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. |
| Freie Schlagworte: | emergenCITY_KOM, emergenCITY |
| Fachbereich(e)/-gebiet(e): | LOEWE LOEWE > LOEWE-Zentren LOEWE > LOEWE-Zentren > emergenCITY |
| Hinterlegungsdatum: | 06 Jun 2023 11:23 |
| Letzte Änderung: | 02 Aug 2023 10:28 |
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