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ThinkMind // SIGNAL 2017, The Second International Conference on Advances in Signal, Image and Video Processing // View article signal_2017_4_10_68001


Transmit Beamforming Strategies with Iterative Equalization for Hybrid mmW Systems

Authors:
Roberto Magueta
Daniel Castanheira
Adão Silva
Rui Dinis
Atílio Gameiro

Keywords: massive MIMO, mmWave communications, iterative block equalization, hybrid analog/digital architectures

Abstract:
The aim of this manuscript is to compare the performance of two transmit beamforming approaches with an iterative equalizer for millimeter wave (mmW) systems. At the transmitter, we assume two hybrid beamforming: a sparse beamforming approach recently proposed and fixed random beamforming which the coefficients are computed independently of the instantaneous channel realization. At the receiver, we consider a hybrid iterative block space-time structure to efficiently separate the spatial streams. We consider that both the transmitter and the received are equipped with a large antenna array and the number of radio frequency (RF) chains is lower that the number of antennas. The hardware limitations impose several constraints in the analog domain that are considered when the transmit beamforming/precoder is generated. Our performance results have shown that the performance of the sparse precoder is better for low signal-to-noise ratio (SNR) regime while random precoder outperforms sparse based one for medium to high SNR regime.

Pages: 43 to 48

Copyright: Copyright (c) IARIA, 2017

Publication date: May 21, 2017

Published in: conference

ISSN: 2519-8432

ISBN: 978-1-61208-559-3

Location: Barcelona, Spain

Dates: from May 21, 2017 to May 25, 2017

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