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A 3D Mixed-Bouncing IS-GBSM with Time-Space Consistency for mmWave Massive MIMO V2V Channels

  • Xiang Cheng,
  • Ziwei Huang,
  • Lu Bai

摘要

In this chapter, a novel three-dimensional (3D) irregular-shaped geometry-based stochastic model (IS-GBSM) is proposed for sixth generation (6G) millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) V2V channels. The clusters are distinguished into static/dynamic single/twin-clusters to capture the mixed-bouncing propagation. A new method is developed to model space–time–frequency (S-T-F) non-stationarity of vehicle-to-vehicle (V2V) channels with time-space consistency. The continuously arbitrary vehicular movement trajectory (VMT) and soft cluster power handover are modeled to further ensure time-space consistency. Simulation results show that S-T-F non-stationarity of channels with time-space consistency is modeled. The accuracy of the proposed model is validated by comparing simulation results and measurement/ray-tracing-based results.