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Modeling Uncertainty In Urban Propagation Using Monte Carlo Theory

2014-07-08 15:51:16| rfglobalnet Home Page

Monte Carlo provides an opportunity to handle uncertainty in a scenario by randomly sampling input parameters to obtain results for each unique situation and providing a bound for best and worst case scenarios. One type of Monte Carlo parameter is the Monte Carlo material, which allows the calculation engine to vary its parameters without re-running the scenario. This application note demonstrates how to utilize Monte Carlo materials within REMCOM’s Wireless InSite to vary material properties quickly and efficiently.

Tags: theory urban monte modeling

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