Hybrid Precoder Design for Angle-of-Departure Estimation With Limited-Resolution Phase Shifters

Hybrid analog-digital beamforming stands out as a key enabler for future communication systems with a massive number of antennas. In this paper, we investigate the hybrid precoder design problem for angle-of-departure (AoD) estimation, where we take into account the practical constraint on the limit...

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Veröffentlicht in:IEEE transactions on communications Jg. 73; H. 6; S. 4439 - 4453
Hauptverfasser: Huang, Huiping, Furkan Keskin, Musa, Wymeersch, Henk, Cai, Xuesong, Wu, Linlong, Thunberg, Johan, Tufvesson, Fredrik
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 2025
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Accuracy
alternating direction method of multipliers
alternating optimization
angle-of-departure estimation
Antennas
Array signal processing
Beamforming
Communications systems
Electrical Engineering, Electronic Engineering, Information Engineering
Elektroteknik och elektronik
Engineering and Technology
Estimation
Geometry
Hybrid beamforming
hybrid precoder
Millimeter wave communication
Optimization
phase shifter
Phase shifters
Phased arrays
Radio frequency
Signal Processing
Signalbehandling
Teknik
Upper bounds
ISSN:0090-6778, 1558-0857, 1558-0857
Online-Zugang:Volltext
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Zusammenfassung:Hybrid analog-digital beamforming stands out as a key enabler for future communication systems with a massive number of antennas. In this paper, we investigate the hybrid precoder design problem for angle-of-departure (AoD) estimation, where we take into account the practical constraint on the limited resolution of phase shifters. Our goal is to design a radio-frequency (RF) precoder and a base-band (BB) precoder to estimate AoD of the user with high accuracy. To this end, we propose a two-step strategy where we first obtain the fully digital precoder that minimizes the angle error bound, and then the resulting digital precoder is decomposed into an RF precoder and a BB precoder, based on the alternating optimization and the alternating direction method of multipliers. Furthermore, we derive the quantization error upper bound and provide convergence conditions for the proposed algorithm. Numerical results demonstrate the superior performance of the proposed method over state-of-the-art baselines.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:0090-6778
1558-0857
1558-0857
DOI:10.1109/TCOMM.2024.3487517