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

Qurrat-Ul-Ain Nadeem; Abla Kammoun; Merouane Debbah; Mohamed-Slim Alouini

doi:10.1109/ISIT.2015.7282924

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

Qurrat-Ul-Ain Nadeem, Abla Kammoun, Merouane Debbah, Mohamed-Slim Alouini

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English (US)
Title of host publication	2015 IEEE International Symposium on Information Theory (ISIT)
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	2588-2592
Number of pages	5
ISBN (Print)	9781467377041
DOIs	https://doi.org/10.1109/ISIT.2015.7282924
State	Published - Oct 1 2015

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: 305123, ERC

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10.1109/ISIT.2015.7282924

Cite this

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title = "On the mutual information of 3D massive MIMO systems: An asymptotic approach",

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. {\textcopyright} 2015 IEEE.",

author = "Qurrat-Ul-Ain Nadeem and Abla Kammoun and Merouane Debbah and Mohamed-Slim Alouini",

note = "KAUST Repository Item: Exported on 2020-10-01 Acknowledgements: 305123, ERC",

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doi = "10.1109/ISIT.2015.7282924",

language = "English (US)",

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On the mutual information of 3D massive MIMO systems: An asymptotic approach. / Nadeem, Qurrat-Ul-Ain; Kammoun, Abla; Debbah, Merouane et al.
2015 IEEE International Symposium on Information Theory (ISIT). Institute of Electrical and Electronics Engineers (IEEE), 2015. p. 2588-2592.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - On the mutual information of 3D massive MIMO systems: An asymptotic approach

AU - Nadeem, Qurrat-Ul-Ain

AU - Kammoun, Abla

AU - Debbah, Merouane

AU - Alouini, Mohamed-Slim

N1 - KAUST Repository Item: Exported on 2020-10-01 Acknowledgements: 305123, ERC

PY - 2015/10/1

Y1 - 2015/10/1

N2 - 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.

AB - 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.

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DO - 10.1109/ISIT.2015.7282924

M3 - Conference contribution

SN - 9781467377041

SP - 2588

EP - 2592

BT - 2015 IEEE International Symposium on Information Theory (ISIT)

PB - Institute of Electrical and Electronics Engineers (IEEE)

ER -

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

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