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dc.contributor.authorSanguinetti, Luca
dc.contributor.authorKammoun, Abla
dc.contributor.authorDebbah, Merouane
dc.date.accessioned2017-10-03T12:49:30Z
dc.date.available2017-10-03T12:49:30Z
dc.date.issued2017-06-20
dc.identifier.citationSanguinetti L, Kammoun A, Debbah M (2017) Asymptotic analysis of multicell massive MIMO over Rician fading channels. 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Available: http://dx.doi.org/10.1109/ICASSP.2017.7952815.
dc.identifier.doi10.1109/ICASSP.2017.7952815
dc.identifier.urihttp://hdl.handle.net/10754/625621
dc.description.abstractThis work considers the downlink of a multicell massive MIMO system in which L base stations (BSs) of N antennas each communicate with K single-antenna user equipments randomly positioned in the coverage area. Within this setting, we are interested in evaluating the sum rate of the system when MRT and RZF are employed under the assumption that each intracell link forms a MIMO Rician uncorrelated fading channel. The analysis is conducted assuming that N and K grow large with a non-trivial ratio N/K under the assumption that the data transmission in each cell is affected by channel estimation errors, pilot contamination, and an arbitrary large scale attenuation. Numerical results are used to validate the asymptotic analysis in the finite system regime and to evaluate the network performance under different settings. The asymptotic results are also instrumental to get insights into the interplay among system parameters.
dc.description.sponsorshipThis research has been supported by the ERC Starting Grant 305123 MORE, and by the 5GIOTTO project funded by the University of Pisa.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttp://ieeexplore.ieee.org/document/7952815/
dc.subjectAntennas
dc.subjectChannel estimation
dc.subjectFading channels
dc.subjectInterference
dc.subjectRician channels
dc.subjectSignal to noise ratio
dc.titleAsymptotic analysis of multicell massive MIMO over Rician fading channels
dc.typeConference Paper
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.identifier.journal2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
dc.conference.date2017-03-05 to 2017-03-09
dc.conference.name2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017
dc.conference.locationNew Orleans, LA, USA
dc.contributor.institutionLarge Networks and System Group (LANEAS), CentraleSup´elec, Universit´e Paris-Saclay, Gif-sur-Yvette, France
dc.contributor.institutionDipartimento di Ingegneria dell’Informazione, University of Pisa, Pisa, Italy
dc.contributor.institutionMathematical and Algorithmic Sciences Lab, Huawei France, Paris, France
dc.identifier.arxividarXiv:1605.02856
kaust.personKammoun, Abla
dc.date.published-online2017-06-20
dc.date.published-print2017-03


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