Efficient linear precoding for massive MIMO systems using truncated polynomial expansion

Handle URI:
http://hdl.handle.net/10754/564921
Title:
Efficient linear precoding for massive MIMO systems using truncated polynomial expansion
Authors:
Müller, Axel; Kammoun, Abla ( 0000-0002-0195-3159 ) ; Björnson, Emil; Debbah, Méroúane
Abstract:
Massive multiple-input multiple-output (MIMO) techniques have been proposed as a solution to satisfy many requirements of next generation cellular systems. One downside of massive MIMO is the increased complexity of computing the precoding, especially since the relatively 'antenna-efficient' regularized zero-forcing (RZF) is preferred to simple maximum ratio transmission. We develop in this paper a new class of precoders for single-cell massive MIMO systems. It is based on truncated polynomial expansion (TPE) and mimics the advantages of RZF, while offering reduced and scalable computational complexity that can be implemented in a convenient parallel fashion. Using random matrix theory we provide a closed-form expression of the signal-to-interference-and-noise ratio under TPE precoding and compare it to previous works on RZF. Furthermore, the sum rate maximizing polynomial coefficients in TPE precoding are calculated. By simulation, we find that to maintain a fixed peruser rate loss as compared to RZF, the polynomial degree does not need to scale with the system, but it should be increased with the quality of the channel knowledge and signal-to-noise ratio. © 2014 IEEE.
KAUST Department:
Electrical Engineering Program
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM)
Conference/Event name:
2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, SAM 2014
Issue Date:
Jun-2014
DOI:
10.1109/SAM.2014.6882394
ARXIV:
arXiv:1310.1806
Type:
Conference Paper
ISSN:
2151870X
ISBN:
9781479914814
Additional Links:
http://arxiv.org/abs/arXiv:1310.1806v4
Appears in Collections:
Conference Papers; Electrical Engineering Program

Full metadata record

DC FieldValue Language
dc.contributor.authorMüller, Axelen
dc.contributor.authorKammoun, Ablaen
dc.contributor.authorBjörnson, Emilen
dc.contributor.authorDebbah, Méroúaneen
dc.date.accessioned2015-08-04T07:25:13Zen
dc.date.available2015-08-04T07:25:13Zen
dc.date.issued2014-06en
dc.identifier.isbn9781479914814en
dc.identifier.issn2151870Xen
dc.identifier.doi10.1109/SAM.2014.6882394en
dc.identifier.urihttp://hdl.handle.net/10754/564921en
dc.description.abstractMassive multiple-input multiple-output (MIMO) techniques have been proposed as a solution to satisfy many requirements of next generation cellular systems. One downside of massive MIMO is the increased complexity of computing the precoding, especially since the relatively 'antenna-efficient' regularized zero-forcing (RZF) is preferred to simple maximum ratio transmission. We develop in this paper a new class of precoders for single-cell massive MIMO systems. It is based on truncated polynomial expansion (TPE) and mimics the advantages of RZF, while offering reduced and scalable computational complexity that can be implemented in a convenient parallel fashion. Using random matrix theory we provide a closed-form expression of the signal-to-interference-and-noise ratio under TPE precoding and compare it to previous works on RZF. Furthermore, the sum rate maximizing polynomial coefficients in TPE precoding are calculated. By simulation, we find that to maintain a fixed peruser rate loss as compared to RZF, the polynomial degree does not need to scale with the system, but it should be increased with the quality of the channel knowledge and signal-to-noise ratio. © 2014 IEEE.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.urlhttp://arxiv.org/abs/arXiv:1310.1806v4en
dc.titleEfficient linear precoding for massive MIMO systems using truncated polynomial expansionen
dc.typeConference Paperen
dc.contributor.departmentElectrical Engineering Programen
dc.identifier.journal2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM)en
dc.conference.date22 June 2014 through 25 June 2014en
dc.conference.name2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, SAM 2014en
dc.conference.locationA Corunaen
dc.contributor.institutionAlcatel-Lucent Department on Flexible Radio, Supélec, Franceen
dc.contributor.institutionIntel Mobile Communications, Sophia Antipolis, Franceen
dc.contributor.institutionACCESS, Dept. of Signal Processing, KTH, Swedenen
dc.identifier.arxividarXiv:1310.1806en
kaust.authorKammoun, Ablaen
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