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dc.contributor.authorSifaou, Houssem
dc.contributor.authorKammoun, Abla
dc.contributor.authorSanguinetti, Luca
dc.contributor.authorDebbah, Merouane
dc.contributor.authorAlouini, Mohamed-Slim
dc.date.accessioned2016-11-03T06:58:35Z
dc.date.available2016-11-03T06:58:35Z
dc.date.issued2016-07-26
dc.identifier.citationSifaou H, Kammoun A, Sanguinetti L, Debbah M, Alouini M-S (2016) Polynomial expansion of the precoder for power minimization in large-scale MIMO systems. 2016 IEEE International Conference on Communications (ICC). Available: http://dx.doi.org/10.1109/ICC.2016.7510948.
dc.identifier.doi10.1109/ICC.2016.7510948
dc.identifier.urihttp://hdl.handle.net/10754/621364
dc.description.abstractThis work focuses on the downlink of a single-cell large-scale MIMO system in which the base station equipped with M antennas serves K single-antenna users. In particular, we are interested in reducing the implementation complexity of the optimal linear precoder (OLP) that minimizes the total power consumption while ensuring target user rates. As most precoding schemes, a major difficulty towards the implementation of OLP is that it requires fast inversions of large matrices at every new channel realizations. To overcome this issue, we aim at designing a linear precoding scheme providing the same performance of OLP but with lower complexity. This is achieved by applying the truncated polynomial expansion (TPE) concept on a per-user basis. To get a further leap in complexity reduction and allow for closed-form expressions of the per-user weighting coefficients, we resort to the asymptotic regime in which M and K grow large with a bounded ratio. Numerical results are used to show that the proposed TPE precoding scheme achieves the same performance of OLP with a significantly lower implementation complexity. © 2016 IEEE.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.titlePolynomial expansion of the precoder for power minimization in large-scale MIMO systems
dc.typeConference Paper
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.identifier.journal2016 IEEE International Conference on Communications (ICC)
dc.conference.date22 May 2016 through 27 May 2016
dc.conference.name2016 IEEE International Conference on Communications, ICC 2016
dc.contributor.institutionDipartimento di Ingegneria dell'Informazione, University of Pisa, Pisa, Italy
dc.contributor.institutionLarge Networks and System Group (LANEAS), CentraleSupélec, Université Paris-Saclay, Gif-sur-Yvette, France
dc.contributor.institutionMathematical and Algorithmic Sciences Lab, Huawei France RandD, Paris, France
kaust.personSifaou, Houssem
kaust.personKammoun, Abla
kaust.personAlouini, Mohamed-Slim
dc.date.published-online2016-07-26
dc.date.published-print2016-05


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