Reference : M-QAM Modulation Symbol-Level Precoding for Power Minimization: Closed-Form Solution

	Document type :	Scientific congresses, symposiums and conference proceedings : Unpublished conference
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/40633

Title :	M-QAM Modulation Symbol-Level Precoding for Power Minimization: Closed-Form Solution
Language :	English
Author, co-author :	Krivochiza, Jevgenij [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Merlano Duncan, Juan Carlos [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Chatzinotas, Symeon [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Ottersten, Björn [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Publication date :	Aug-2019
Peer reviewed :	Yes
Event name :	16th International Symposium on Wireless Communication Systems ISWCS2019
Event date :	from 27-08-2019 to 30-08-2019
Keywords :	[en] MIMO ; Precoding ; Interference Mitigation ; Convex optimization ; Closed-form solution ; Power minimization
Abstract :	[en] In this paper, we derive a closed-form algorithm of the computationally efficient Symbol-Level Precoding (SLP) for power efficient communications when using M-QAM modulated waveforms. The channel state information (CSI) based and data-aided SLP technique optimizes power efficiency by solving a non-negative convex quadratic optimization problem per time frame of transmitted symbols. The optimization combines constructive inter-user interference to minimize the sum power of precoded symbols at the transmitter side under constraints for minimum SNR at the receiver side. The SLP implementation incurs extra computational complexity of the transmitter. We propose a convex quadratic optimization problem for M-QAM constellations and derive a closed-form algorithm with a fixed number of iterations to solve the problem.
Research centres :	Interdisciplinary Centre for Security, Reliability and Trust (SnT) > SIGCOM
Funders :	Fonds National de la Recherche - FnR
Target :	Researchers ; Professionals ; Students
Permalink :	http://hdl.handle.net/10993/40633
FnR project :	FnR ; FNR11481283 > Jevgenij Krivochiza > > End-to-end Signal Processing Algorithms for Precoded Satellite Communications > 01/03/2017 > 28/02/2021 > 2016

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