Optimization of cooperative spectrum sensing in cognitive radio for mobile communication

Cognitive radio technology offers a revolutionary solution to spectral resources crisis by looking at the spectrum in an unconventional manner as a multi-dimensional space. The current wireless communication systems are governed by fixed spectrum assignment policy (licensed spectrum), which was proven by measurement to be inefficient. Cognitive radio enables maximum spectrum utilization efficiency through opportunistic access to temporarily unutilized portions of spectrum. In Cognitive Radio spectrum sensing performance is more important. By cooperative spectrum sensing probability of false alarm (Pf) is increased with given probability of detection (Pd). In this paper we formulate a cooperative spectrum sensing as noncooperative game and also formulate a optimization problem, numerical results demonstrate that limited number of SU for cooperative sensing are achieve much better performance than Nash Equilibrium. By selecting optimal strategy SU maximize their utility, maximum spectrum utilization is depend on expected utility under different SNR.