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Spatial consistency validation on massive SIMO covariance matrices in the geometry-based stochastic channel model quadriga

 
: Dai, S.; Abdellatif, N.; Kurras, M.; Jaeckel, S.; Thiele, L.

Informationstechnische Gesellschaft -ITG-:
24th International ITG Workshop on Smart Antennas, WSA 2020. Proceedings : 18-20 February 2020, Hamburg, Germany, CD-ROM
Berlin: VDE-Verlag, 2020 (ITG-Fachbericht 291)
ISBN: 978-3-8007-5200-3
ISBN: 978-3-8007-5201-0
ISBN: 3-8007-5200-X
6 S.
International Workshop on Smart Antennas (WSA) <24, 2020, Hamburg>
Englisch
Konferenzbeitrag
Fraunhofer HHI ()

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.

: http://publica.fraunhofer.de/dokumente/N-639643.html