3D Massive MIMO Systems: Modeling and Performance Analysis

Handle URI:
http://hdl.handle.net/10754/565053
Title:
3D Massive MIMO Systems: Modeling and Performance Analysis
Authors:
Nadeem, Qurrat-Ul-Ain ( 0000-0001-8423-3482 ) ; Kammoun, Abla ( 0000-0002-0195-3159 ) ; Debbah, Merouane; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 )
Abstract:
Multiple-input-multiple-output (MIMO) systems of current LTE releases are capable of adaptation in the azimuth only. Recently, the trend is to enhance system performance by exploiting the channel’s degrees of freedom in the elevation, which necessitates the characterization of 3D channels. We present an information-theoretic channel model for MIMO systems that supports the elevation dimension. The model is based on the principle of maximum entropy, which enables us to determine the distribution of the channel matrix consistent with the prior information on the angles. Based on this model, we provide analytical expression for the cumulative density function (CDF) of the mutual information (MI) for systems with a single receive and finite number of transmit antennas in the general signalto- interference-plus-noise-ratio (SINR) regime. The result is extended to systems with finite receive antennas in the low SINR regime. A Gaussian approximation to the asymptotic behavior of MI distribution is derived for the large number of transmit antennas and paths regime. We corroborate our analysis with simulations that study the performance gains realizable through meticulous selection of the transmit antenna downtilt angles, confirming the potential of elevation beamforming to enhance system performance. The results are directly applicable to the analysis of 5G 3D-Massive MIMO-systems.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Citation:
3D Massive MIMO Systems: Modeling and Performance Analysis 2015:1 IEEE Transactions on Wireless Communications
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
IEEE Transactions on Wireless Communications
Issue Date:
30-Jul-2015
DOI:
10.1109/TWC.2015.2462828
Type:
Article
ISSN:
1536-1276
Additional Links:
http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7173440
Appears in Collections:
Articles; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorNadeem, Qurrat-Ul-Ainen
dc.contributor.authorKammoun, Ablaen
dc.contributor.authorDebbah, Merouaneen
dc.contributor.authorAlouini, Mohamed-Slimen
dc.date.accessioned2015-08-04T12:40:47Zen
dc.date.available2015-08-04T12:40:47Zen
dc.date.issued2015-07-30en
dc.identifier.citation3D Massive MIMO Systems: Modeling and Performance Analysis 2015:1 IEEE Transactions on Wireless Communicationsen
dc.identifier.issn1536-1276en
dc.identifier.doi10.1109/TWC.2015.2462828en
dc.identifier.urihttp://hdl.handle.net/10754/565053en
dc.description.abstractMultiple-input-multiple-output (MIMO) systems of current LTE releases are capable of adaptation in the azimuth only. Recently, the trend is to enhance system performance by exploiting the channel’s degrees of freedom in the elevation, which necessitates the characterization of 3D channels. We present an information-theoretic channel model for MIMO systems that supports the elevation dimension. The model is based on the principle of maximum entropy, which enables us to determine the distribution of the channel matrix consistent with the prior information on the angles. Based on this model, we provide analytical expression for the cumulative density function (CDF) of the mutual information (MI) for systems with a single receive and finite number of transmit antennas in the general signalto- interference-plus-noise-ratio (SINR) regime. The result is extended to systems with finite receive antennas in the low SINR regime. A Gaussian approximation to the asymptotic behavior of MI distribution is derived for the large number of transmit antennas and paths regime. We corroborate our analysis with simulations that study the performance gains realizable through meticulous selection of the transmit antenna downtilt angles, confirming the potential of elevation beamforming to enhance system performance. The results are directly applicable to the analysis of 5G 3D-Massive MIMO-systems.en
dc.language.isoenen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.urlhttp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7173440en
dc.rights(c) 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.en
dc.title3D Massive MIMO Systems: Modeling and Performance Analysisen
dc.typeArticleen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.identifier.journalIEEE Transactions on Wireless Communicationsen
dc.eprint.versionPost-printen
dc.contributor.institutionSupelec, Gif-sur-Yvette, France and Mathematical and Algorithmic Sciences Lab, Huawei France R&D, Paris, Franceen
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)en
kaust.authorNadeem, Qurrat-Ul-Ainen
kaust.authorKammoun, Ablaen
kaust.authorAlouini, Mohamed-Slimen
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