First Results of Modeling the Mobile Radio Channel using Theory of Dynamics

摘要

Traditionally, the mobile radio channel is modeled as a linear stochastic process using e.g. Rayleigh- or Rice-statistics for the amplitude and autocorrelation functions in terms of modeling the Doppler-power spectrum. It can be shown that this stochastic modeling has some physical limits, e.g. at high bandwidths of wireless communication systems. For this reason, we introduce an alternative approach based on methods of the theory of dynamics, which overcomes these limitations. The aim is to find a low-dimensional deterministic model consisting of a set of differential or difference equations instead of a high-dimensional stochastic model. Investigations of the mobile radio channel by algorithms adapted from nonlinear dynamics provide the advantage to distinguish between deterministic dynamical effects and stochastic effects. Therefore, in this paper, important analysis algorithms are introduced and applied to analyze simulated data from a ray-tracing simulation of a simple urban environment. The results are very promising that modeling the mobile radio channel based on the theory of dynamics is possible.