Results of an extensive measurement campaign to characterize and model dynamic effects on the radio channel in vegetation media at 40 GHz, are presented. Using two small trees in an anechoic chamber, narrowband fast-fading measurements, utilizing co-polarized signals, were conducted to obtain radio channel characterization. This was performed as a function of the bi-static scattering angle, wind speed, wind incidence, and tree species. Furthermore, a modelling methodology is investigated and assessed as to its feasibility as a means to model vegetation dynamics effects on propagation. A radio channel model based on a simplified set of Markovian parameters, is proposed. The model is representative of the radio signal in the three main identified propagation regions around a vegetation volume as a mean to satisfactorily model highly time-variant radio signals. The propagation regions considered are receiver angular sections (in the azimuth plane) around the tree, where the received signal behaves distinctly for each region. Model validation results are presented using one of the tree species.
This paper presents results of an extensive measurement campaign to characterise and model the wind incident effects on the channel dynamics in vegetation media at 40 GHz. Several experiments were conducted in an anechoic chamber on indoor plants (downscaled trees) for co -polarised radio signals at 40 GHz. Narrowband fast fading channel performance is evaluated and results are presented for various scatter regions around isolated trees when exposed to varying wind incidences and speeds. In addition, a propagation channel simulator is proposed as a means of simulating the time-variant vegetation effects. This includes varying incident wind directions, scattering angles and vegetation species, yielding statistical estimates, which are in relatively good agreement with measurement data. The proposed simulator provides a flexible tool for obtaining predictive data for specific vegetation scenarios, obviating the need to perform expensive measurements.
In this paper, the discrete Radiative Energy Transfer is investigated as an effective mean to model wind induced time-variant vegetative radio channels. The investigated model will make use of the input parameters time-variation properties to achieve channel dynamics modeling. Analysis of both the foliated channel statistics and model performance against measured data, at 20 GHz, will be presented.
The successful deployment of wireless technologies in the micro-and millimetre frequencies relies on the understanding of radio channel propagation and accurate radio propagation models. To this extent, the dynamic effects of vegetation on radio signals are investigated, as a function of wind direction, receiver location and vegetation depth. Furthermore, a radio propagation model, based on the RET, is investigated as an approach to predict the channel dynamic effects of vegetation scatter at 20 GHz. The model is evaluated for a structured forest medium, and its performance is assessed through the use of primary, secondary and error quantification statistics.
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