RLS Waveform Adaptation for Massive MIMO Systems with Nonlinear Front-End

Bereyhi, A.; Asaad, S.; Müller, R.R; Chatzinotas, Symeon

Reference : RLS Waveform Adaptation for Massive MIMO Systems with Nonlinear Front-End


	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	Focus Areas :	Security, Reliability and Trust
	To cite this reference:	http://hdl.handle.net/10993/41776

Title :	RLS Waveform Adaptation for Massive MIMO Systems with Nonlinear Front-End
Language :	English
Author, co-author :	Bereyhi, A. []
	Asaad, S. []
	Müller, R.R []
	Chatzinotas, Symeon [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Publication date :	2019
Main document title :	IEEE International Workshop on Signal Processing Advances in Wireless Communication
Publisher :	IEEE
Peer reviewed :	Yes
Audience :	International
Event name :	IEEE International Workshop on Signal Processing Advances in Wireless Communication
Event date :	02-07-2019 to 5-07-2019
Event place (city) :	Cannes
Event country :	France
Abstract :	[en] To keep massive MIMO systems cost-efficient, power amplifiers with rather small output dynamic ranges are employed. They may distort the transmit signal and degrade the performance. This paper proposes a distortion aware precoding scheme for realistic scenarios in which RF chains have nonlinear characteristics. The proposed scheme utilizes the method of regularized least-squares (RLS) to jointly compensate the channel impacts and the distortion imposed by the RF chains. To construct the designed transmit waveform with low computational complexity, an iterative algorithm based on approximate message passing is developed. This algorithm is shown to track the achievable average signal distortion of the proposed scheme tightly, even for practical system dimensions. The results demonstrate considerable enhancement compared to the state of the art. Index Terms-Precoding, nonlinear power amplifiers, approximate message passing, regularized least-squares, massive MIMO.
Permalink :	http://hdl.handle.net/10993/41776

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