Throughput Limits in Spectrum Sensing Cognitive Radio Networks Using Point Processes
Spectrum sensing in cognitive wireless networks is important for Secondary nodes to avoid interference with the Primaries. In this paper, considering a spectrum sensing framework, the authors develop models for bounding interference levels from Secondary network to the Primary nodes. First, they assume that both networks are distributed according to Poisson point processes. Subsequently, they consider a more practical model which takes into account the medium access control regulations and where the Secondary Poisson process is judiciously thinned in two phases to avoid interference with the Secondary as well as the Primary nodes. The resulting process will be a modified version of the Matern point process.