Reference : Symbol-level precoding with low resolution DACs for large-scale array MU-MIMO systems

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/38165

Title :	Symbol-level precoding with low resolution DACs for large-scale array MU-MIMO systems
Language :	English
Author, co-author :	Tsinos, Christos [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Kalantari, Ashkan [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 :	2018
Main document title :	2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
Publisher :	IEEE
Peer reviewed :	Yes
Audience :	International
ISBN :	978-1-5386-3512-4
Event name :	2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
Event date :	25-06-2018 to 28-06-2018
Event place (city) :	Kalamata
Event country :	Greece
Abstract :	[en] While (Multiple Input-Multiple Output) MIMO systems based on large-scale antenna arrays are seen as the solution to the continuously increasing demands in modern wireless systems, they require high hardware complexity and power consumption. To tackle this, solutions based on low resolution Analog-to-Digital Converters (ADCs) / Digital-to-Analog Converters (DACs) have been developed in the literature where they mainly propose quantized versions of typical channel dependent linear precoding solutions. Alternatively, nonlinear Symbol level Precoding techniques have been recently proposed for downlink Multi User (MU)-MIMO systems with low resolution DACs that achieve significantly improved performance in several cases. The existing SLP approaches support only DACs of 1-bit resolution which result in significant performance degradations, especially when constellations with order greater than 4 are employed. To that end, in this work a novel SLP approach is developed that supports systems with DACs of any resolution and it is applicable for any type of constellation. As it is verified by the presented numerical results, the proposed approach exhibits significantly improved performance when constellations with order greater than 4 are employed and require reduced computational complexity, compared to the existing solutions for the 1-bit DAC case.
Permalink :	http://hdl.handle.net/10993/38165
DOI :	10.1109/SPAWC.2018.8445995

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