Asymptotic analysis of downlink MISO systems over Rician fading channels

Handle URI:
http://hdl.handle.net/10754/621359
Title:
Asymptotic analysis of downlink MISO systems over Rician fading channels
Authors:
Falconet, Hugo; Sanguinetti, Luca; Kammoun, Abla ( 0000-0002-0195-3159 ) ; Debbah, Merouane
Abstract:
In 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.
KAUST Department:
Electrical Engineering Program
Citation:
Falconet 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.
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Conference/Event name:
41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016
Issue Date:
24-Jun-2016
DOI:
10.1109/ICASSP.2016.7472413
Type:
Conference Paper
Sponsors:
305123, ERC
Appears in Collections:
Conference Papers; Electrical Engineering Program

Full metadata record

DC FieldValue Language
dc.contributor.authorFalconet, Hugoen
dc.contributor.authorSanguinetti, Lucaen
dc.contributor.authorKammoun, Ablaen
dc.contributor.authorDebbah, Merouaneen
dc.date.accessioned2016-11-03T06:58:28Z-
dc.date.available2016-11-03T06:58:28Z-
dc.date.issued2016-06-24en
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.en
dc.identifier.doi10.1109/ICASSP.2016.7472413en
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.en
dc.description.sponsorship305123, ERCen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.titleAsymptotic analysis of downlink MISO systems over Rician fading channelsen
dc.typeConference Paperen
dc.contributor.departmentElectrical Engineering Programen
dc.identifier.journal2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)en
dc.conference.date20 March 2016 through 25 March 2016en
dc.conference.name41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016en
dc.contributor.institutionMathematical and Algorithmic Sciences Lab, Huawei France, Paris, Franceen
dc.contributor.institutionLarge Networks and System Group (LANEAS), CentraleSupélec, Université Paris-Saclay, Gif-sur-Yvette, Franceen
dc.contributor.institutionDipartimento di Ingegneria dell'Informazione, University of Pisa, Pisa, Italyen
kaust.authorKammoun, Ablaen
kaust.authorDebbah, Merouaneen
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