Reference : Majorization-Minimization Algorithms for Analog Beamforming with Large-Scale Antenna ...

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Electrical & electronics engineering
	To cite this reference:	http://hdl.handle.net/10993/41947

Title :	Majorization-Minimization Algorithms for Analog Beamforming with Large-Scale Antenna Arrays
Language :	English
Author, co-author :	Arora, Aakash [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Tsinos, Christos [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Shankar, Bhavani [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Chatzinotas, Symeon [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Ottersten, Björn [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Publication date :	In press
Main document title :	Proc. 7th IEEE Global Conference on Signal and Information Processing (GlobalSIP) 2019
Peer reviewed :	Yes
Event name :	7th IEEE Global Conference on Signal and Information Processing (GlobalSIP) 2019
Event date :	11-11-2019 to 14-11-2019
Event place (city) :	Ottawa
Event country :	Canada
Abstract :	[en] Beamforming with large-scale antenna arrays (LSAA) is one of the predominant operations in designing wireless communication systems. However, the implementation of a fully digital system significantly increases the number of required radio-frequency (RF) chains, which may be prohibitive. Thus, analog beamforming based on a phase-shifting network driven by a variable gain amplifier (VGA) is a potential alternative technology. In this paper, we cast the beamforming vector design problem as a beampattern matching problem, with an unknown power gain. This is formulated as a unit-modulus least-squares (ULS) problem where the optimal gain of the VGA is also designed in addition to the beamforming vector. We also consider a scenario where the receivers have the additional processing capability to adjust the phases of the incoming signals to mitigate specular multipath components. We propose efficient majorization-minimization (MM) based algorithms with convergence guarantees to a stationary point for solving both variants of the proposed ULS problem. Numerical results verify the effectiveness of the proposed solution in comparison with the existing state-of-the-art techniques.
Permalink :	http://hdl.handle.net/10993/41947
FnR project :	FnR ; FNR11607283 > Aakash Arora > > Power efficient sparse signal processing for digital wideband on-board techniques > 01/07/2017 > 30/06/2021 > 2017

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