Spatial Consistency Validation on Massive SIMO Covariance Matrices in the Geometry-Based Stochastic Channel Model QuaDRiGa
Konferenz: WSA 2020 - 24th International ITG Workshop on Smart Antennas
18.02.2020 - 20.02.2020 in Hamburg, Germany
Tagungsband: ITG-Fb. 291: WSA 2020
Seiten: 6Sprache: EnglischTyp: PDFPersönliche VDE-Mitglieder erhalten auf diesen Artikel 10% Rabatt
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)
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.