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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.accessioned2015-08-11T13:43:35Z
dc.date.available2015-08-11T13:43:35Z
dc.date.issued2014-12
dc.identifier.doi10.1109/GlobalSIP.2014.7032197
dc.identifier.urihttp://hdl.handle.net/10754/565855
dc.description.abstractThis work aims at designing a low-complexity precoding technique in the downlink of a large-scale multiple-input multiple-output (MIMO) system in which the base station (BS) is equipped with M antennas to serve K single-antenna user equipments. This is motivated by the high computational complexity required by the widely used zero-forcing or regularized zero-forcing precoding techniques, especially when K grows large. To reduce the computational burden, we adopt a precoding technique based on truncated polynomial expansion (TPE) and make use of the asymptotic analysis to compute the deterministic equivalents of its corresponding signal-to-interference-plus-noise ratios (SINRs) and transmit power. The asymptotic analysis is conducted in the regime in which M and K tend to infinity with the same pace under the assumption that imperfect channel state information is available at the BS. The results are then used to compute the TPE weights that minimize the asymptotic transmit power while meeting a set of target SINR constraints. Numerical simulations are used to validate the theoretical analysis. © 2014 IEEE.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.titlePower efficient low complexity precoding for massive MIMO systems
dc.typeConference Paper
dc.contributor.departmentElectrical Engineering Program
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentCommunication Theory Lab
dc.identifier.journal2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP)
dc.conference.date3 December 2014 through 5 December 2014
dc.conference.name2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014
kaust.personKammoun, Abla
kaust.personAlouini, Mohamed-Slim
kaust.personSifaou, Houssem


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