The Spectrum Engineering Advanced Monte Carlo Analysis Tool (Seamcat)
Marc Le Dévendec, Ari Réfik · 2002
The deregulation of the telecommunications industry, the massive development in mobile and personal communications and the emergence of a diversity of radio applications and services are some of the key elements which have contributed towards the growth of the telecommunications market in recent years. Sustaining future growth is strongly dependent upon the efficiency with which the radio spectrum is used. The main purpose of this paper is to describes the statistical methodology of Monte Carlo and the architecture of a software tool based upon this technique, so called the Spectrum Engineering Advanced Monte Carlo Analysis Tool (SEAMCAT). It also provides information on the range of applicability of the tool. Furthermore, It gives elements of comparison between the Monte-Carlo methodology and the Minimum Coupling Loss methodology explaining why SEAMCA T is now widely used to reach spectrally efficient solutions to spectrum engineering and frequency management problems. Finally, it provides elements on future features that will be implemented in the next version of the SEAMCAT software (Phase 1+).