Spectrum Opportunity Detection in Cellular Networks

Abstract

The signal propagation over wireless channels cannot be predicted perfectly due to numerous factors such as fading, channel interference and obstacles. An interference footprint is required to be estimated accurately for evaluation of the spatial spectrum opportunity. It is difficult to determine the spatial spectrum opportunities available in uplink bands of cellular networks due to different location of primary users at different times. In this research work, spatial spectrum opportunity in uplink bands of cellular network is determined using an efficient computational geometry tool for realistic scenario. Our results shows that the performance of umbrella footprints based approach is better than that of conventional circular footprints based approach in terms of false alarm and missed detection probabilities.