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

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Channel Correlation Diversity in MU-MIMO Systems - Analysis and Measurements. / Tataria, Harsh; Sangodoyin, Seun; Molisch, Andreas; Smith, Peter J; Matthaiou, Michail; Zhang, Jianzhong (Charlie); Thoma, Reiner S .

IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC). 2019.

Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKonferenspaper i proceeding

Harvard

Tataria, H, Sangodoyin, S, Molisch, A, Smith, PJ, Matthaiou, M, Zhang, JC & Thoma, RS 2019, Channel Correlation Diversity in MU-MIMO Systems - Analysis and Measurements. i IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)., Istanbul, Turkiet, 2019/09/08.

APA

Tataria, H., Sangodoyin, S., Molisch, A., Smith, P. J., Matthaiou, M., Zhang, J. C., & Thoma, R. S. (Accepterad/under tryckning). Channel Correlation Diversity in MU-MIMO Systems - Analysis and Measurements. I IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

CBE

Tataria H, Sangodoyin S, Molisch A, Smith PJ, Matthaiou M, Zhang JC, Thoma RS. 2019. Channel Correlation Diversity in MU-MIMO Systems - Analysis and Measurements. I IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC).

MLA

Tataria, Harsh et al. "Channel Correlation Diversity in MU-MIMO Systems - Analysis and Measurements". IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC). 2019.

Vancouver

Tataria H, Sangodoyin S, Molisch A, Smith PJ, Matthaiou M, Zhang JC et al. Channel Correlation Diversity in MU-MIMO Systems - Analysis and Measurements. I IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC). 2019

Author

Tataria, Harsh ; Sangodoyin, Seun ; Molisch, Andreas ; Smith, Peter J ; Matthaiou, Michail ; Zhang, Jianzhong (Charlie) ; Thoma, Reiner S . / Channel Correlation Diversity in MU-MIMO Systems - Analysis and Measurements. IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC). 2019.

RIS

TY - GEN

T1 - Channel Correlation Diversity in MU-MIMO Systems - Analysis and Measurements

AU - Tataria, Harsh

AU - Sangodoyin, Seun

AU - Molisch, Andreas

AU - Smith, Peter J

AU - Matthaiou, Michail

AU - Zhang, Jianzhong (Charlie)

AU - Thoma, Reiner S

N1 - Submitted for publication to IEEE PIMRC 2019, Istanbul, Turkey

PY - 2019/6/7

Y1 - 2019/6/7

N2 - 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.

AB - 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.

KW - Correlation diversity

KW - Channel measurements

KW - MU-MIMO systems

KW - ZF precoding

M3 - Paper in conference proceeding

BT - IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

ER -