Dynamic Threshold based Cooperative Spectrum Sensing using Coalitional Game for CRNs

Abstract

Cooperative Spectrum Sensing (CSS) in Cognitive Radio Network (CRN) is proven to enhance the efficiency of spectrum sensing by using spatial diversity of secondary users (SUs). However, during designing of CSS schemes the incorporation of dynamic interaction among the SUs and the selection of appropriate sensing threshold play an important role. This paper contributes in the following way by - (i) proposing a coalitional game theory based model for CSS, (ii) proposing a distance based adaptive sensing threshold determination technique and (iii) considering cooperation overhead in CSS due to reporting error. The CSS model is evaluated via simulation studies and the results obtained show that proposed model improves performance of spectrum sensing in terms of detection probability compared to similar CSS techniques.