Quispe, Jaime ; Maciel, Tarcisio Ferreira ; Silva, Yuri Carvalho Barbosa ; Klein, Anja (2022)
RIS-assisted beamforming for energy efficiency in multiuser downlink transmissions.
GLOBECOM 2022 - 2022 IEEE Global Communications Conference. Rio de Janeiro, Brazil (04.-08.12.2022)
doi: 10.1109/GCWkshps56602.2022.10008573
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
Reconfigurable intelligent surface (RIS) based reflections is a promising approach to increase spectral efficiency (SE) and reduce power consumption of wireless communications systems. This paper investigates the trade-off between these two metrics by considering the energy efficiency (EE) maximization of an RIS-assisted multiuser downlink transmission from a multiantenna base station (BS) to multiple single-antenna users while satisfying constraints on quality-of-service (QoS), RIS phase shifts, and BS maximum transmit power. We consider a coordinated beamforming scheme and propose a joint optimization procedure based on the Dinkelbach, fractional programming, and semi-definite relaxation (SDR) methods. Simulation results show that the RIS-assisted system is more energy-efficient than its counterpart without RIS and that the RIS, particularly when it is equipped with a large number of antenna elements, can simultaneously improve the SE and power consumption of the transmission. Furthermore, the presented algorithm achieves good-quality solutions that are competitive to the obtained via exhaustive search with branch-reduce-and-bound (BRnB) methods and requires fewer iterations to converge.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2022 |
| Autor(en): | Quispe, Jaime ; Maciel, Tarcisio Ferreira ; Silva, Yuri Carvalho Barbosa ; Klein, Anja |
| Art des Eintrags: | Bibliographie |
| Titel: | RIS-assisted beamforming for energy efficiency in multiuser downlink transmissions |
| Sprache: | Englisch |
| Publikationsjahr: | 9 Dezember 2022 |
| Verlag: | IEEE |
| Buchtitel: | 2022 IEEE GLOBECOM Workshops (GC Wkshps): Proceedings |
| Veranstaltungstitel: | GLOBECOM 2022 - 2022 IEEE Global Communications Conference |
| Veranstaltungsort: | Rio de Janeiro, Brazil |
| Veranstaltungsdatum: | 04.-08.12.2022 |
| DOI: | 10.1109/GCWkshps56602.2022.10008573 |
| Kurzbeschreibung (Abstract): | Reconfigurable intelligent surface (RIS) based reflections is a promising approach to increase spectral efficiency (SE) and reduce power consumption of wireless communications systems. This paper investigates the trade-off between these two metrics by considering the energy efficiency (EE) maximization of an RIS-assisted multiuser downlink transmission from a multiantenna base station (BS) to multiple single-antenna users while satisfying constraints on quality-of-service (QoS), RIS phase shifts, and BS maximum transmit power. We consider a coordinated beamforming scheme and propose a joint optimization procedure based on the Dinkelbach, fractional programming, and semi-definite relaxation (SDR) methods. Simulation results show that the RIS-assisted system is more energy-efficient than its counterpart without RIS and that the RIS, particularly when it is equipped with a large number of antenna elements, can simultaneously improve the SE and power consumption of the transmission. Furthermore, the presented algorithm achieves good-quality solutions that are competitive to the obtained via exhaustive search with branch-reduce-and-bound (BRnB) methods and requires fewer iterations to converge. |
| Freie Schlagworte: | emergenCITY, emergenCITY_KOM |
| Zusätzliche Informationen: | BMBF Open6GHub |
| Fachbereich(e)/-gebiet(e): | 18 Fachbereich Elektrotechnik und Informationstechnik 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik > Kommunikationstechnik DFG-Sonderforschungsbereiche (inkl. Transregio) DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche LOEWE LOEWE > LOEWE-Zentren LOEWE > LOEWE-Zentren > emergenCITY DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1053: MAKI – Multi-Mechanismen-Adaption für das künftige Internet DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1053: MAKI – Multi-Mechanismen-Adaption für das künftige Internet > B: Adaptionsmechanismen DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1053: MAKI – Multi-Mechanismen-Adaption für das künftige Internet > B: Adaptionsmechanismen > Teilprojekt B3: Adaptionsökonomie DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1053: MAKI – Multi-Mechanismen-Adaption für das künftige Internet > C: Kommunikationsmechanismen DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1053: MAKI – Multi-Mechanismen-Adaption für das künftige Internet > C: Kommunikationsmechanismen > Teilprojekt C1 : Netzzentrische Sicht DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1053: MAKI – Multi-Mechanismen-Adaption für das künftige Internet > T: Transferprojekte DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1053: MAKI – Multi-Mechanismen-Adaption für das künftige Internet > T: Transferprojekte > Transferprojekt T2: Prädiktion Netzauslastung |
| Hinterlegungsdatum: | 01 Feb 2023 12:29 |
| Letzte Änderung: | 06 Feb 2024 11:28 |
| PPN: | 507828941 |
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