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dc.contributor.authorFalconet, Hugo
dc.contributor.authorSanguinetti, Luca
dc.contributor.authorKammoun, Abla
dc.contributor.authorDebbah, Merouane
dc.date.accessioned2016-11-03T06:58:28Z
dc.date.available2016-11-03T06:58:28Z
dc.date.issued2016-06-24
dc.identifier.citationFalconet H, Sanguinetti L, Kammoun A, Debbah M (2016) Asymptotic analysis of downlink MISO systems over Rician fading channels. 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Available: http://dx.doi.org/10.1109/ICASSP.2016.7472413.
dc.identifier.doi10.1109/ICASSP.2016.7472413
dc.identifier.urihttp://hdl.handle.net/10754/621359
dc.description.abstractIn this work, we focus on the ergodic sum rate in the downlink of a single-cell large-scale multi-user MIMO system in which the base station employs N antennas to communicate with K single-antenna user equipments. A regularized zero-forcing (RZF) scheme is used for precoding under the assumption that each link forms a spatially correlated MIMO Rician fading channel. The analysis is conducted assuming N and K grow large with a non trivial ratio and perfect channel state information is available at the base station. Recent results from random matrix theory and large system analysis are used to compute an asymptotic expression of the signal-to-interference-plus-noise ratio as a function of the system parameters, the spatial correlation matrix and the Rician factor. Numerical results are used to evaluate the performance gap in the finite system regime under different operating conditions. © 2016 IEEE.
dc.description.sponsorship305123, ERC
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.titleAsymptotic analysis of downlink MISO systems over Rician fading channels
dc.typeConference Paper
dc.contributor.departmentElectrical Engineering Program
dc.identifier.journal2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
dc.conference.date20 March 2016 through 25 March 2016
dc.conference.name41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016
dc.contributor.institutionMathematical and Algorithmic Sciences Lab, Huawei France, Paris, France
dc.contributor.institutionLarge Networks and System Group (LANEAS), CentraleSupélec, Université Paris-Saclay, Gif-sur-Yvette, France
dc.contributor.institutionDipartimento di Ingegneria dell'Informazione, University of Pisa, Pisa, Italy
kaust.personKammoun, Abla
kaust.personDebbah, Merouane


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