A Statistical Radio Channel Model for Vegetation Dynamic Effects at 40GHz
Sérgio Morgadinho, Rafael Caldeirinha, Iñigo Cuiñas and Manuel Sánchez
International Symposium on Performance Evaluation of Computer and Telecommunication Systems (SPECTS 2007)
San Diego, California (USA), July 16-18, 2007
SPECTS_Summary
In this paper, a Multistate Markov channel model intended to model a radio channel under the influence of wind dynamics in vegetation at 40GHz, is proposed. Results are presented for side and forward scattering regions around an isolated tree, when exposed to time variant wind speeds. The adopted methodology differs from the traditional one, in that, the Markov model is not applied entirely to the complete set of samples of the measured signal, but instead, it is applied to separate segments of the measured data. The proposed model provides a flexible tool for obtaining predictive channel dynamic data for specific vegetation scenarios, obviating the need to perform expensive and time consuming measurements.