Paper Info
Title
Singular Value Thresholding based Adaptive Approach for Hybrid Beamforming in MmWave Massive MIMO-OFDM Transmitters
Abstract
Thanks to the high spectral efficiency and the abundant bandwidths, millimeter-wave (mmWave) communication combined with massive multiple-input multiple-output (MIMO) technology have been considered as a promising candidate for next generation mobile communication systems. As a mmWave massive MIMO system requires a huge number of radio frequency (RF) chains, hybrid analog/digital (A/D) beamforming (BF) is addressed as the best solution to surpass digital BF limitations and reach lower cost and power consumption. Therefore, new specific A/D BF algorithms for mmWave massive MIMO systems are required. This paper considers the problem of BF design in a hybrid mmWave massive MIMO-OFDM system using the sub-array structure which reduces the number of phase shifters since each RF chain should be only connected to a specific sub-array. For this structure, we propose an adaptive hybrid Am BF design based on singular value thresholding algorithm. Then, our proposal is evaluated in terms of spectral efficiency, outperforming the semidefinite relaxation (SDR) based algorithm and providing an important reduction in terms of computational complexity.
Year
DOI
Venue
2018
10.23919/SOFTCOM.2018.8555794
2018 26th International Conference on Software, Telecommunications and Computer Networks (SoftCOM)
Keywords
Field
DocType
MmWave,Hybrid Beamforming,Massive MIMO,OFDM
MIMO-OFDM,Beamforming,Singular value thresholding,Computer science,MIMO,Real-time computing,Electronic engineering,Radio frequency,Spectral efficiency,Orthogonal frequency-division multiplexing,Computational complexity theory
Conference
ISBN
Citations 
PageRank 
978-1-5386-6770-5
0
0.34
References 
Authors
10
4
Name
Order
Citations
PageRank
Ameni Mejri111.04
Moufida Hajjaj223.45
Salem Hasnaoui315.44
Ridha Bouallegue425982.54