Laue, Friedemann ; Jamali, Vahid ; Schober, Robert (2023)
Beam Training for Self-Sustainable RIS.
IEEE GLOBECOM 2023. Kuala Lumpur, Malaysia (04.12.2023 - 08.12.2023)
doi: 10.1109/GCWkshps58843.2023.10464537
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
This paper studies beam training for self-sustainable reconfigurable intelligent surfaces (RISs), where the RIS is en-dowed with energy harvesting capabilities in order to operate independently of external power sources. In particular, we consider codebook-based reconfiguration of the RIS for periodic alignment of the reflection beam with the current location of a mobile user. Moreover, a fraction of the RIS unit cells harvests energy from the incident signal while the remaining unit cells are used for signal reflection. Based on this framework, we analyze the code-book design, beam training overhead, and power consumption. Furthermore, we show that the optimal unit cell split ratio can be obtained based on a convex optimization problem. In addition, for low-overhead beam training, we derive a closed-form expression for the rate loss caused by the energy constraint needed for self-sustainable operation. Finally, we provide simulation results to evaluate the proposed analytical framework and reveal insights on the tradeoff between beam training overhead, RIS response time, and RIS power consumption.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2023 |
| Autor(en): | Laue, Friedemann ; Jamali, Vahid ; Schober, Robert |
| Art des Eintrags: | Bibliographie |
| Titel: | Beam Training for Self-Sustainable RIS |
| Sprache: | Englisch |
| Publikationsjahr: | 9 Dezember 2023 |
| Verlag: | IEEE |
| Buchtitel: | 2023 IEEE Globecom Workshops (GC Wkshps) |
| Veranstaltungstitel: | IEEE GLOBECOM 2023 |
| Veranstaltungsort: | Kuala Lumpur, Malaysia |
| Veranstaltungsdatum: | 04.12.2023 - 08.12.2023 |
| DOI: | 10.1109/GCWkshps58843.2023.10464537 |
| Kurzbeschreibung (Abstract): | This paper studies beam training for self-sustainable reconfigurable intelligent surfaces (RISs), where the RIS is en-dowed with energy harvesting capabilities in order to operate independently of external power sources. In particular, we consider codebook-based reconfiguration of the RIS for periodic alignment of the reflection beam with the current location of a mobile user. Moreover, a fraction of the RIS unit cells harvests energy from the incident signal while the remaining unit cells are used for signal reflection. Based on this framework, we analyze the code-book design, beam training overhead, and power consumption. Furthermore, we show that the optimal unit cell split ratio can be obtained based on a convex optimization problem. In addition, for low-overhead beam training, we derive a closed-form expression for the rate loss caused by the energy constraint needed for self-sustainable operation. Finally, we provide simulation results to evaluate the proposed analytical framework and reveal insights on the tradeoff between beam training overhead, RIS response time, and RIS power consumption. |
| Zusätzliche Informationen: | WS12-1: RIS-empowered 3CLS, Session 1 |
| Fachbereich(e)/-gebiet(e): | 18 Fachbereich Elektrotechnik und Informationstechnik 18 Fachbereich Elektrotechnik und Informationstechnik > Resiliente Kommunikationssysteme (RCS) |
| Hinterlegungsdatum: | 17 Jun 2024 13:57 |
| Letzte Änderung: | 15 Okt 2024 09:02 |
| PPN: | 522223230 |
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