Spatial Correlation Variability in Multiuser Systems
(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:
https://lup.lub.lu.se/record/ce23c8dd-7bf1-4835-8ef8-19817852aa42
- author
- Tataria, Harsh LU ; Smith, Peter J ; Molisch, Andreas F. ; Sangodoyin, Seun ; Matthaiou, Michail ; Dmochowski, Pawel A ; Zhang, Jianzhong (Charlie) and Thoma, Reiner S
- organization
- publishing date
- 2018-05-23
- 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)
- article number
- 8422818
- 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
- 2024-09-17 08:40:03
@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}}, booktitle = {{2018 IEEE International Conference on Communications (ICC)}}, isbn = {{978-1-5386-3181-2}}, keywords = {{Spatial correlation; Multiuser systems; Ricean fading; Channel measurements; Massive MIMO}}, language = {{eng}}, month = {{05}}, 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}}, doi = {{10.1109/ICC.2018.8422818}}, year = {{2018}}, }