Spatial Correlation Variability in Multiuser Systems

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

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review


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 publication2018 IEEE International Conference on Communications (ICC)
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Number of pages7
ISBN (Electronic)978-1-5386-3180-5
ISBN (Print)978-1-5386-3181-2
Publication statusPublished - 2018 May 23
EventIEEE International Conference on Communications (ICC) 2018 - Sheraton Kansas City Hotel, Kansas City, United States
Duration: 2018 May 232018 May 27


ConferenceIEEE International Conference on Communications (ICC) 2018
Abbreviated titleICC
Country/TerritoryUnited States
CityKansas City
Internet address

Subject classification (UKÄ)

  • Communication Systems

Free keywords

  • Spatial correlation
  • Multiuser systems
  • Ricean fading
  • Channel measurements
  • Massive MIMO


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