A semi-stochastic radio propagation model for wireless MIMO channels
Xiang Hong Xu, Michael Reyer, Florian Schröder, Alexander Engels, Rudolf Mathar
Abstract
Xiang Hong Xu, Michael Reyer, Florian Schröder, Alexander Engels, Rudolf Mathar
Abstract
Among current physical channel models, deterministic models, such as ray-launching, are accurate but site-specific. Geometry-based stochastic models are flexible, however, cannot benefit if site information is available. In this work, a semi-stochastic MIMO channel model is proposed. It integrates results from deterministic models into stochastic models, merging the advantages of both approaches.
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Among current physical channel models, deterministic models, such as ray-launching, are accurate but site-specific. Geometry-based stochastic models are flexible, however, cannot benefit if site information is available. In this work, a semi-stochastic MIMO channel model is proposed. It integrates results from deterministic models into stochastic models, merging the advantages of both approaches.
Key concepts: MIMO, Stochastic modelling, Computer science, Wireless, Channel (broadcasting), Stochastic process, Radio channel, Stochastic geometry