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Channel Correlation Diversity in MU-MIMO Systems - Analysis and Measurements

Tataria, Harsh LU ; Sangodoyin, Seun; Molisch, Andreas LU ; Smith, Peter J; Matthaiou, Michail; Zhang, Jianzhong (Charlie) and Thoma, Reiner S (2019) IEEE International Symposium on Personal, Indoor and Mobile Radio Communications
Abstract
In multiuser multiple–input multiple–output (MU–MIMO) systems, channel correlation is detrimental to system performance. We demonstrate that widely used, yet overly simplified, correlation models that generate identical correlation profiles for each terminal tend to severely underestimate the system performance. In sharp contrast, more physically motivated models that capture variations in the power angular spectra across multiple terminals, generate diverse correlation patterns. This has a significant impact on the system performance. Assuming correlated Rayleigh fading and downlink zero–forcing precoding, tight closed form approximations for the average signal–to–noise–ratio, and ergodic sum spectral efficiency are derived. Our... (More)
In multiuser multiple–input multiple–output (MU–MIMO) systems, channel correlation is detrimental to system performance. We demonstrate that widely used, yet overly simplified, correlation models that generate identical correlation profiles for each terminal tend to severely underestimate the system performance. In sharp contrast, more physically motivated models that capture variations in the power angular spectra across multiple terminals, generate diverse correlation patterns. This has a significant impact on the system performance. Assuming correlated Rayleigh fading and downlink zero–forcing precoding, tight closed form approximations for the average signal–to–noise–ratio, and ergodic sum spectral efficiency are derived. Our expressions provide clear insights into the impact of diverse correlation patterns on the above performance metrics. Unlike previous works, the correlation models are parameterized with measured data from a recent 2.53 GHz urban macrocellular campaign in Cologne, Germany. Overall, results from this paper can be treated as a timely re–calibration of performance expectations from practical MU–MIMO systems. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
submitted
subject
keywords
Correlation diversity, Channel measurements, MU-MIMO systems, ZF precoding
host publication
IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)
pages
7 pages
conference name
IEEE International Symposium on Personal, Indoor and Mobile Radio Communications
conference location
Istanbul, Turkey
conference dates
2019-09-08 - 2019-09-11
language
English
LU publication?
yes
id
95d93877-699d-4e3c-bb55-10f4a24d5da3
date added to LUP
2019-04-06 19:30:54
date last changed
2019-04-11 12:54:36
@inproceedings{95d93877-699d-4e3c-bb55-10f4a24d5da3,
  abstract     = {In multiuser multiple–input multiple–output (MU–MIMO) systems, channel correlation is detrimental to system performance. We demonstrate that widely used, yet overly simplified, correlation models that generate identical correlation profiles for each terminal tend to severely underestimate the system performance. In sharp contrast, more physically motivated models that capture variations in the power angular spectra across multiple terminals, generate diverse correlation patterns. This has a significant impact on the system performance. Assuming correlated Rayleigh fading and downlink zero–forcing precoding, tight closed form approximations for the average signal–to–noise–ratio, and ergodic sum spectral efficiency are derived. Our expressions provide clear insights into the impact of diverse correlation patterns on the above performance metrics. Unlike previous works, the correlation models are parameterized with measured data from a recent 2.53 GHz urban macrocellular campaign in Cologne, Germany. Overall, results from this paper can be treated as a timely re–calibration of performance expectations from practical MU–MIMO systems.},
  author       = {Tataria, Harsh and Sangodoyin, Seun and Molisch, Andreas and Smith, Peter J and Matthaiou, Michail and Zhang, Jianzhong (Charlie) and Thoma, Reiner S },
  keyword      = {Correlation diversity,Channel measurements,MU-MIMO systems,ZF precoding},
  language     = {eng},
  location     = {Istanbul, Turkey},
  month        = {04},
  pages        = {7},
  title        = {Channel Correlation Diversity in MU-MIMO Systems - Analysis and Measurements},
  year         = {2019},
}