Spatial Correlation Variability in Multiuser Systems

Harsh Tataria, Peter J. Smith, Andreas F. Molisch, Seun Sangodoyin, Michail Matthaiou, Pawel A. Dmochowski , Jianzhong Zhang , Reiner S. Thoma

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)
271 Downloads (Pure)

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.
Original languageEnglish
Title of host publicationIEEE International Conference on Communications 2018 (ICC 2018): Proceedings
Place of PublicationKansas City, USA
Publisher IEEE
Number of pages7
DOIs
Publication statusPublished - 31 Jul 2018
EventIEEE International Conference on Communications - Kansas, United States
Duration: 20 May 201824 May 2018
http://icc2018.ieee-icc.org/content/welcome-ieee-icc-2018

Publication series

NameInternational Conference on Communications: Proceedings
PublisherIEEE
ISSN (Print)1938-1883

Conference

ConferenceIEEE International Conference on Communications
Abbreviated titleICC
CountryUnited States
CityKansas
Period20/05/201824/05/2018
Internet address

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