[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.
Disciplines :
Electrical & electronics engineering
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)
External co-authors :
no
Language :
English
Title :
Majorization-Minimization Algorithms for Analog Beamforming with Large-Scale Antenna Arrays
Publication date :
2019
Event name :
7th IEEE Global Conference on Signal and Information Processing (GlobalSIP) 2019
Event place :
Ottawa, Canada
Event date :
11-11-2019 to 14-11-2019
Main work title :
Proc. 7th IEEE Global Conference on Signal and Information Processing (GlobalSIP) 2019