On the mutual information of 3D massive MIMO systems: An asymptotic approach

Handle URI:
http://hdl.handle.net/10754/621329
Title:
On the mutual information of 3D massive MIMO systems: An asymptotic approach
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:
Motivated by the recent interest in 3D beamforming to enhance system performance, we present an information-theoretic channel model for multiple-input multiple-output (MIMO) systems, that can support the elevation dimension. The principle of maximum entropy is used to determine the distribution of the channel matrix consistent with the prior angular information. We provide an explicit expression for the cumulative density function (CDF) of the mutual information in the large number of transmit antennas and paths regime. The derived Gaussian approximation is quite accurate even for realistic system dimensions. The simulation results study the achievable performance through the meticulous selection of the transmit antenna downtilt angles. The results are directly applicable to the analysis of 5G 3D massive MIMO systems. © 2015 IEEE.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Citation:
Nadeem Q-U-A, Kammoun A, Debbah M, Alouini M-S (2015) On the mutual information of 3D massive MIMO systems: An asymptotic approach. 2015 IEEE International Symposium on Information Theory (ISIT). Available: http://dx.doi.org/10.1109/ISIT.2015.7282924.
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2015 IEEE International Symposium on Information Theory (ISIT)
Conference/Event name:
IEEE International Symposium on Information Theory, ISIT 2015
Issue Date:
1-Oct-2015
DOI:
10.1109/ISIT.2015.7282924
Type:
Conference Paper
Sponsors:
305123, ERC
Appears in Collections:
Conference Papers; 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.accessioned2016-11-03T06:57:48Z-
dc.date.available2016-11-03T06:57:48Z-
dc.date.issued2015-10-01en
dc.identifier.citationNadeem Q-U-A, Kammoun A, Debbah M, Alouini M-S (2015) On the mutual information of 3D massive MIMO systems: An asymptotic approach. 2015 IEEE International Symposium on Information Theory (ISIT). Available: http://dx.doi.org/10.1109/ISIT.2015.7282924.en
dc.identifier.doi10.1109/ISIT.2015.7282924en
dc.identifier.urihttp://hdl.handle.net/10754/621329-
dc.description.abstractMotivated by the recent interest in 3D beamforming to enhance system performance, we present an information-theoretic channel model for multiple-input multiple-output (MIMO) systems, that can support the elevation dimension. The principle of maximum entropy is used to determine the distribution of the channel matrix consistent with the prior angular information. We provide an explicit expression for the cumulative density function (CDF) of the mutual information in the large number of transmit antennas and paths regime. The derived Gaussian approximation is quite accurate even for realistic system dimensions. The simulation results study the achievable performance through the meticulous selection of the transmit antenna downtilt angles. The results are directly applicable to the analysis of 5G 3D massive MIMO systems. © 2015 IEEE.en
dc.description.sponsorship305123, ERCen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.subject3D beamformingen
dc.subjectchannel modelingen
dc.subjectMassive MIMOen
dc.subjectmaximum entropyen
dc.subjectmutual informationen
dc.titleOn the mutual information of 3D massive MIMO systems: An asymptotic approachen
dc.typeConference Paperen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.identifier.journal2015 IEEE International Symposium on Information Theory (ISIT)en
dc.conference.date14 June 2015 through 19 June 2015en
dc.conference.nameIEEE International Symposium on Information Theory, ISIT 2015en
dc.contributor.institutionMathematical and Algorithmic Sciences Lab, Huawei France RandD, Paris, Franceen
kaust.authorNadeem, Qurrat-Ul-Ainen
kaust.authorKammoun, Ablaen
kaust.authorAlouini, Mohamed-Slimen
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