Provided by: University of Otago
Date Added: May 2012
The aggregate interference distribution in cognitive radio networks is studied in a rigorous analytical way using the popular Poisson point process model. While a number of results are available for this model of regular (non-cognitive) networks, cognitive ones present an extra level of difficulty for the analysis, mainly due to the exclusion region around the primary receiver, which are typically addressed via various adhoc approximations (e.g. based on the interference cumulants) or via the large-deviation analysis. Unlike the previous studies, here the authors do not use ad-hoc approximations but rather obtain the asymptotic interference distribution in a systematic and rigorous way.