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Interference and Throughput in Spectrum Sensing Cognitive Radio Networks using Point Processes
Anthony Busson,Bijan Jabbari,Alireza Babaei,V´eronique V`eque 한국통신학회 2014 Journal of communications and networks Vol.16 No.1
Spectrum sensing is vital for secondary unlicensed nodesto coexist and avoid interference with the primary licensed usersin cognitive wireless networks. In this paper, we develop modelsfor bounding interference levels from secondary network to theprimary nodes within a spectrum sensing framework. Instead ofclassical stochastic approaches where Poisson point processes areused to model transmitters, we consider a more practical modelwhich takes into account the medium access control regulationsand where the secondary Poisson process is judiciously thinned intwo phases to avoid interference with the secondary as well as theprimary nodes. The resulting process will be a modified versionof the Mat´ern point process. For this model, we obtain boundsfor the complementary cumulative distribution function of interferenceand present simulation results which show the developedanalytical bounds are quite tight. Moreover, we use these boundsto find the operation regions of the secondary network such thatthe interference constraint is satisfied on receiving primary nodes. We then obtain theoretical results on the primary and secondarythroughputs and find the throughput limits under the interferenceconstraint.