Modeling of Time Series for S-band Spectrum Use in Satellite Downlink

摘要

The development of the Cognitive Radio technology has largely benefit from the availability of realistic and accurate spectrum occupancy models. The spectrum occupancy model proposed in the literature so far are able to capture and reproduce the statistical characteristics of occupied time series. For example, the busy/idle-period lengths of terrestrial wireless network can be fitted by generalized Pareto distribution, exponential distribution, etc. However, in the satellite link spectrum occupancy scenario, the traditional parameter estimation distribution cannot provide the goodness of fit. In this context, this paper proposes a method of kernel density estimation to estimate the probability density function. The conclusion shows that this method can more accurately describe and reproduce the statistical characteristics of the occupied time series of the S-band used in the satellite downlink.