High Fidelity Modeling of Spatio-Temporally Dense Multi-Radio Scenarios

Heterogeneous, mobile wireless networks are becoming increasingly difficult to validate for operational use, depending on digital simulation of the wireless channels to properly predict behaviors in the field. The complexity of these simulation scenarios demands high fidelity modeling of the physical channels at very dense resolution of the trajectories of each moving radio in order to handle rapid changes and multipath, a high performance computing problem of its own. Presented is an approach to reduce the run-time of these high fidelity simulations by constructing precise results based on adjacent ray-paths from a lower resolution simulation. Speed and accuracy trade-offs are presented for this approach in typical urban scenarios, demonstrating its effectiveness in meeting the growing needs of wireless channel emulation.

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