A 2-D fading forecast of time-variant channels based on parametric modeling techniques

In this paper a new approach for predicting the future channel situation on the basis of actual and past channel characteristics is suggested. Applying high resolution estimation techniques to the Time-Variant Transfer Function of the radio channel, a 2-D Fading Forecast based on parametric modeling is introduced. In contrast to existing methods this allows a small-scale fading forecast not only in time domain, but also in frequency domain. Moreover, considering the evolutional nature of the channel and its parameters, an increased prediction range is expected, as compared with recently proposed approaches. Explaining the extended approach and corresponding modeling of the parameter variations, an appropriate prediction scheme is introduced considering a mobile moving with constant speed on a straight line. Applied on simulation data of a ray-tracing modeled indoor scenario of moderate complexity, the performance as well as the boundary conditions of the proposed procedure are illustrated.