Spatial Correlation Variability in Multiuser Systems
Autor: | Seun Sangodoyin, Reiner S. Thomae, Andreas F. Molisch, Pawel A. Dmochowski, Michail Matthaiou, Jianzhong Zhang, Peter J. Smith, Harsh Tataria |
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Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
Spatial correlation
Computer science 05 social sciences 050801 communication & media studies 020206 networking & telecommunications 02 engineering and technology Spectral efficiency Communications system Precoding Antenna array 0508 media and communications Signal-to-noise ratio Transmission (telecommunications) Telecommunications link 0202 electrical engineering electronic engineering information engineering Fading Algorithm Communication channel Computer Science::Information Theory |
Zdroj: | Tataria, H, Smith, P J, Molisch, A F, Sangodoyin, S, Matthaiou, M, Dmochowski, P A, Zhang, J & Thoma, R S 2018, Spatial Correlation Variability in Multiuser Systems . in IEEE International Conference on Communications 2018 (ICC 2018): Proceedings . International Conference on Communications: Proceedings, Institute of Electrical and Electronics Engineers Inc., Kansas City, USA, IEEE International Conference on Communications 2018, Kansas, Missouri, United States, 20/05/2018 . https://doi.org/10.1109/ICC.2018.8422818 ICC |
DOI: | 10.1109/ICC.2018.8422818 |
Popis: | 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 correlationstructure 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. |
Databáze: | OpenAIRE |
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