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Spatial Correlation Variability in Multiuser Systems

Tataria, Harsh LU ; Smith, Peter J; Molisch, Andreas F.; Sangodoyin, Seun; Matthaiou, Michail; Dmochowski, Pawel A; Zhang, Jianzhong (Charlie) and Thoma, Reiner S (2018) IEEE International Conference on Communications (ICC) 2018
Abstract
Spatial correlation across an antenna array is known to be detrimental to the terminal signal-to- interference-plus-noise-ratio (SINR) and system spectral efficiency. For a downlink multiuser multiple-input multiple-output system (MU-MIMO), we show that the widely used, yet overly simplified, correlation models which generate fixed correlation patterns for all terminals tend to underestimate the system performance. This is in contrast to more sophisticated, yet physically motivated, remote scattering models that generate variations in the correlation structure across multiple terminals. The remote scattering models are parameterized with measured data from a recent 2.53 GHz urban macrocellular channel measurement campaign in Cologne,... (More)
Spatial correlation across an antenna array is known to be detrimental to the terminal signal-to- interference-plus-noise-ratio (SINR) and system spectral efficiency. For a downlink multiuser multiple-input multiple-output system (MU-MIMO), we show that the widely used, yet overly simplified, correlation models which generate fixed correlation patterns for all terminals tend to underestimate the system performance. This is in contrast to more sophisticated, yet physically motivated, remote scattering models that generate variations in the correlation structure across multiple terminals. The remote scattering models are parameterized with measured data from a recent 2.53 GHz urban macrocellular channel measurement campaign in Cologne, Germany. Assuming spatially correlated Ricean fading, with maximum-ratio transmission precoding, tight closed-form approximations to the expected (average) SINR, and ergodic sum spectral efficiency are derived. The expressions provide clear insights into the impact of variable correlation patterns on the above performance metrics. Our results demonstrate the sensitivity of the MU-MIMO performance to different correlation models, and provide a cautionary tale of its impact. (Less)
Please use this url to cite or link to this publication:
author
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Spatial correlation, Multiuser systems, Ricean fading, Channel measurements, Massive MIMO
host publication
2018 IEEE International Conference on Communications (ICC)
pages
7 pages
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
IEEE International Conference on Communications (ICC) 2018
conference location
Kansas City, United States
conference dates
2018-05-23 - 2018-05-27
external identifiers
  • scopus:85051429898
ISBN
978-1-5386-3181-2
978-1-5386-3180-5
DOI
10.1109/ICC.2018.8422818
language
English
LU publication?
no
id
ce23c8dd-7bf1-4835-8ef8-19817852aa42
date added to LUP
2018-11-28 13:17:44
date last changed
2019-02-20 11:38:09
@inproceedings{ce23c8dd-7bf1-4835-8ef8-19817852aa42,
  abstract     = {Spatial correlation across an antenna array is known to be detrimental to the terminal signal-to- interference-plus-noise-ratio (SINR) and system spectral efficiency. For a downlink multiuser multiple-input multiple-output system (MU-MIMO), we show that the widely used, yet overly simplified, correlation models which generate fixed correlation patterns for all terminals tend to underestimate the system performance. This is in contrast to more sophisticated, yet physically motivated, remote scattering models that generate variations in the correlation structure across multiple terminals. The remote scattering models are parameterized with measured data from a recent 2.53 GHz urban macrocellular channel measurement campaign in Cologne, Germany. Assuming spatially correlated Ricean fading, with maximum-ratio transmission precoding, tight closed-form approximations to the expected (average) SINR, and ergodic sum spectral efficiency are derived. The expressions provide clear insights into the impact of variable correlation patterns on the above performance metrics. Our results demonstrate the sensitivity of the MU-MIMO performance to different correlation models, and provide a cautionary tale of its impact.},
  author       = {Tataria, Harsh and Smith, Peter J and Molisch, Andreas F. and Sangodoyin, Seun and Matthaiou, Michail and Dmochowski, Pawel A and Zhang, Jianzhong (Charlie) and Thoma, Reiner S },
  isbn         = {978-1-5386-3181-2 },
  keyword      = {Spatial correlation,Multiuser systems,Ricean fading,Channel measurements,Massive MIMO},
  language     = {eng},
  location     = {Kansas City, United States},
  month        = {05},
  pages        = {7},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  title        = {Spatial Correlation Variability in Multiuser Systems},
  url          = {http://dx.doi.org/10.1109/ICC.2018.8422818},
  year         = {2018},
}