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Geometry-based Stochastic Channel Model for Vehicle-to-vulnerable Road Users Communications in Critical Scenarios - Part I: Parameterization
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  • Ibrahim Rashdan ,
  • Fabian de Ponte Muller ,
  • Stephan Sand ,
  • Giuseppe Caire
Ibrahim Rashdan
German Aerospace Center (DLR)

Corresponding Author:[email protected]

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Fabian de Ponte Muller
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Stephan Sand
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Giuseppe Caire
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This work presents the first complete parameterization for WINNER-type geometry-based stochastic channel model (GSCM) at 5.2 GHz based on channel measurements. In order to parameterize the GSCM channel model, the large scale parameters (LSPs) and their correlations are estimated in the log domain. The results show that the log-normal distribution provides a good fit to the distributions of the LSPs. The proposed  model parameterization can be used to generate synthetic channel instances which are required to develop and evaluate V2VRU communication systems and collision avoidance algorithms in critical accident scenarios.