Paper Info
Title
Majorization-Minimization Algorithms for Analog Beamforming with Large-Scale Antenna Arrays.
Abstract
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 leastsquares (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.
Year
DOI
Venue
2019
10.1109/GlobalSIP45357.2019.8969518
GlobalSIP
Field
DocType
Citations 
Convergence (routing),Power gain,Multipath propagation,Variable-gain amplifier,Beamforming,Computer science,Specular reflection,Algorithm,Stationary point,Video Graphics Array
Conference
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Aakash Arora1112.18
Christos G. Tsinos211618.30
M. R. Bhavani Shankar319026.57
Symeon Chatzinotas41849192.76
Björn E. Ottersten56418575.28