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arxiv: 1609.05639 · v1 · pith:5LB73QRUnew · submitted 2016-09-19 · 💻 cs.IT · math.IT

Geometry-Based Stochastic Channel Models for 5G: Extending Key Features for Massive MIMO

classification 💻 cs.IT math.IT
keywords definedfeaturesmassiveuseracrossarraychannelcluster
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This paper introduces three key features in geometry-based stochastic channel models in order to include massive MIMO channels. Those key features consists of multi-user (MU) consistency, non-stationarities across the base station array and inclusion of spherical wave modelling. To ensure MU consistency, we introduce the concept of "user aura", which is a circle around the user with radius defined according to the stationarity interval. The overlap between auras determines the share of common clusters among users. To model non-stationarities across a massive array, sub-arrays are defined for which clusters are independently generated. At last, we describe a procedure to incorporate spherical wave modelling, where a cluster focal point is defined to account for distance between user and cluster.

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