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dc.contributor.authorSifaou, Houssem
dc.contributor.authorKammoun, Abla
dc.contributor.authorSanguinetti, Luca
dc.contributor.authorDebbah, Mérouane
dc.contributor.authorAlouini, Mohamed-Slim
dc.date.accessioned2017-01-09T11:52:21Z
dc.date.available2017-01-09T11:52:21Z
dc.date.issued2016-08-11
dc.identifier.citationSifaou H, Kammoun A, Sanguinetti L, Debbah M, Alouini M-S (2016) Max-min SINR low complexity transceiver design for single cell massive MIMO. 2016 IEEE 17th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC). Available: http://dx.doi.org/10.1109/SPAWC.2016.7536729.
dc.identifier.doi10.1109/SPAWC.2016.7536729
dc.identifier.urihttp://hdl.handle.net/10754/622656
dc.description.abstractThis work focuses on large scale multi-user MIMO systems in which the base station (BS) outfitted with M antennas communicates with K single antenna user equipments (UEs). In particular, we aim at designing the linear precoder and receiver that maximizes the minimum signal-to-interference-plus-noise ratio (SINR) subject to a given power constraint. To gain insights into the structure of the optimal precoder and receiver as well as to reduce the computational complexity for their implementation, we analyze the asymptotic regime where M and K grow large with a given ratio and make use of random matrix theory (RMT) tools to compute accurate approximations. Although simpler, the implementation of the asymptotic precoder and receiver requires fast inversions of large matrices in every coherence period. To overcome this issue, we apply the truncated polynomial expansion (TPE) technique to the precoding and receiving vector of each UE and make use of RMT to determine the optimal weighting coefficients that asymptotically solve the max-min SINR problem. Numerical results are used to show that the proposed TPE-based precoder and receiver almost achieve the same performance as the optimal ones while requiring a lower complexity.
dc.description.sponsorshipL. Sanguinetti and M. Debbah were supported by the ERC Starting Grant 305123 MORE. This research was also partially supported by the research project 5GIOTTO funded by the University of Pisa
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttp://ieeexplore.ieee.org/document/7536729/
dc.subjectlinear transceivers
dc.subjectlow complexity
dc.subjectMassive MIMO systems
dc.subjectrandom matrix theory
dc.subjecttruncated polynomial expansion
dc.titleMax-min SINR low complexity transceiver design for single cell massive MIMO
dc.typeConference Paper
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.identifier.journal2016 IEEE 17th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
dc.conference.date2016-07-03 to 2016-07-06
dc.conference.name17th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2016
dc.conference.locationEdinburgh, GBR
dc.contributor.institutionDipartimento di Ingegneria dell'Informazione, University of 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-online2016-08-11
dc.date.published-print2016-07


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