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.
UR - http://hdl.handle.net/10754/621329
UR - http://ieeexplore.ieee.org/document/7282924/
UR - http://www.scopus.com/inward/record.url?scp=84969835755&partnerID=8YFLogxK
U2 - 10.1109/ISIT.2015.7282924
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 -