Spatial Consistency Validation on Massive SIMO Covariance Matrices in the Geometry-Based Stochastic Channel Model QuaDRiGa
Conference: WSA 2020 - 24th International ITG Workshop on Smart Antennas
02/18/2020 - 02/20/2020 at Hamburg, Germany
Proceedings: ITG-Fb. 291: WSA 2020
Pages: 6Language: englishTyp: PDF
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Authors:
Dai, Sida; Kurras, Martin; Jaeckel, Stephan; Thiele, Lars (Fraunhofer Heinrich Hertz Institute, Einsteinufer 37, 10587 Berlin, Germany)
Abdellatif, Nagham (German University in Cairo, Al Tagamoa Al Khames, 11835 Cairo, Egypt)
Abstract:
In the fifth generation (5G) of cellular networks, massive multiple-input multiple-output (MIMO) has surged as a key technique. The time-invariant feature of the channels in a massive MIMO system is modelled using second-order-statistics known as covariance matrices. The spatial consistency of these covariance matrices, e.g. close to each other positioned mobile users receive similar multi-path components, is essential for the multiple-user performance evaluation. Therefore, spatial consistency is a must-have for 5G channel models. In this work, we provide a thorough validation of the spatial consistency feature in the open source geometry-based stochastic channel model software QuaDRiGa by comparing it with measurements. We validate the spatial consistency in terms of spatial correlation of massive single-input multiple-output (SIMO) covariance matrices in four different settings of base station (BS)-user locations.