A low-complexity linear precoding and power allocation scheme for downlink massive MIMO systems

Zarei S, Gerstacker W, Schober R (2014)

Publication Language: English

Publication Type: Conference contribution

Publication year: 2014

Publisher: IEEE

Event location: Pacific Grove, CA US

ISBN: 978-1-4799-2390-8

DOI: 10.1109/ACSSC.2013.6810278

Abstract

In this paper, we present a low-complexity linear precoding and power allocation scheme for downlink massive multiple-input multiple-output (MIMO) systems. The optimization criteria adopted for the proposed precoding and power allocation scheme are maximization of the sum rate and maximization of the minimum user rate, respectively. The presented precoder is based on a matrix polynomial and can closely approach the sum rate and the minimum user rate of the optimal regularized zero forcing (RZF) precoder, which requires a matrix inversion, and performs substantially better than the simple conjugate beamforming (BF) precoder. Our simulation results show that the proposed precoding scheme with a low order matrix polynomial can approach the sum rate and the minimum user rate of the optimal RZF precoder. We also present analytical results for the asymptotic sum rate and the asymptotic minimum user rate.

Authors with CRIS profile

Shahram Zarei Lehrstuhl für Digitale Übertragung Wolfgang Gerstacker Lehrstuhl für Digitale Übertragung Robert Schober Lehrstuhl für Digitale Übertragung

How to cite

APA:

Zarei, S., Gerstacker, W., & Schober, R. (2014). A low-complexity linear precoding and power allocation scheme for downlink massive MIMO systems. In IEEE (Eds.), Proceedings of the 2013 Asilomar Conference on Signals, Systems and Computers. Pacific Grove, CA, US: IEEE.

MLA:

Zarei, Shahram, Wolfgang Gerstacker, and Robert Schober. "A low-complexity linear precoding and power allocation scheme for downlink massive MIMO systems." Proceedings of the 2013 Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA Ed. IEEE, IEEE, 2014.

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