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Optimization-Based Phase-Shift Codebook Design for Large IRSs

Ghanem, Walid R. ; Jamali, Vahid ; Schellmann, Malte ; Cao, Hanwen ; Eichinger, Joseph ; Schober, Robert (2023)
Optimization-Based Phase-Shift Codebook Design for Large IRSs.
In: IEEE Communications Letters, 27 (2)
doi: 10.1109/LCOMM.2022.3225585
Artikel, Bibliographie

Kurzbeschreibung (Abstract)

In this letter, we focus on large intelligent reflecting surfaces (IRSs) and propose a new codebook construction method to obtain a set of pre-designed phase-shift configurations for the IRS unit cells. Since the complexity of online optimization and the overhead for channel estimation scale with the size of the phase-shift codebook, the design of small codebooks is of high importance. We consider both continuous and discrete phase-shift designs and formulate the codebook construction as optimization problems. To solve the optimization problems, we propose an optimal algorithm for the discrete phase-shift design and a locally optimal solution for the continuous design. Simulation results show that the proposed algorithms facilitate the construction of codebooks of different sizes and with different beamwidths. Moreover, the performance of the discrete phase-shift design with 2-bit quantization is shown to approach that of the continuous phase-shift design. Finally, our simulation results show that the proposed designs enable large transmit power savings compared to the existing linear and quadratic codebook designs.

Typ des Eintrags: Artikel
Erschienen: 2023
Autor(en): Ghanem, Walid R. ; Jamali, Vahid ; Schellmann, Malte ; Cao, Hanwen ; Eichinger, Joseph ; Schober, Robert
Art des Eintrags: Bibliographie
Titel: Optimization-Based Phase-Shift Codebook Design for Large IRSs
Sprache: Englisch
Publikationsjahr: Februar 2023
Verlag: IEEE
Titel der Zeitschrift, Zeitung oder Schriftenreihe: IEEE Communications Letters
Jahrgang/Volume einer Zeitschrift: 27
(Heft-)Nummer: 2
DOI: 10.1109/LCOMM.2022.3225585
Kurzbeschreibung (Abstract):

In this letter, we focus on large intelligent reflecting surfaces (IRSs) and propose a new codebook construction method to obtain a set of pre-designed phase-shift configurations for the IRS unit cells. Since the complexity of online optimization and the overhead for channel estimation scale with the size of the phase-shift codebook, the design of small codebooks is of high importance. We consider both continuous and discrete phase-shift designs and formulate the codebook construction as optimization problems. To solve the optimization problems, we propose an optimal algorithm for the discrete phase-shift design and a locally optimal solution for the continuous design. Simulation results show that the proposed algorithms facilitate the construction of codebooks of different sizes and with different beamwidths. Moreover, the performance of the discrete phase-shift design with 2-bit quantization is shown to approach that of the continuous phase-shift design. Finally, our simulation results show that the proposed designs enable large transmit power savings compared to the existing linear and quadratic codebook designs.

Freie Schlagworte: emergenCITY, emergenCITY_KOM
Fachbereich(e)/-gebiet(e): 18 Fachbereich Elektrotechnik und Informationstechnik
18 Fachbereich Elektrotechnik und Informationstechnik > Resiliente Kommunikationssysteme (RCS)
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LOEWE > LOEWE-Zentren > emergenCITY
Hinterlegungsdatum: 17 Jun 2024 14:07
Letzte Änderung: 20 Nov 2024 12:40
PPN: 521765110
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