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dc.contributor.authorMüller, Axel
dc.contributor.authorKammoun, Abla
dc.contributor.authorBjörnson, Emil
dc.contributor.authorDebbah, Méroúane
dc.date.accessioned2015-08-04T07:25:13Z
dc.date.available2015-08-04T07:25:13Z
dc.date.issued2014-06
dc.identifier.citationMuller, A., Kammoun, A., Bjornson, E., & Debbah, M. (2014). Efficient linear precoding for massive MIMO systems using truncated polynomial expansion. 2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM). doi:10.1109/sam.2014.6882394
dc.identifier.isbn9781479914814
dc.identifier.issn2151870X
dc.identifier.doi10.1109/SAM.2014.6882394
dc.identifier.urihttp://hdl.handle.net/10754/564921
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.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttp://arxiv.org/abs/arXiv:1310.1806v4
dc.titleEfficient linear precoding for massive MIMO systems using truncated polynomial expansion
dc.typeConference Paper
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.identifier.journal2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM)
dc.conference.date22 June 2014 through 25 June 2014
dc.conference.name2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, SAM 2014
dc.conference.locationA Coruna
dc.contributor.institutionAlcatel-Lucent Department on Flexible Radio, Supélec, France
dc.contributor.institutionIntel Mobile Communications, Sophia Antipolis, France
dc.contributor.institutionACCESS, Dept. of Signal Processing, KTH, Sweden
dc.identifier.arxivid1310.1806
kaust.personKammoun, Abla
dc.date.posted2013-10-07


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