A Method to Enhance the Throughput of Cognitive Radio Network Using Kullback Leibler Divergence with Optimized Sensing Time (KLDOST)

Efficient, quick and reliable spectrum sensing in consonance with maximum throughput is required at the cognitive radios to achieve maximum utilization of the network. In cognitive radio environment, the intelligent secondary users shall effectively sense the presence of primary user signal to avoid interference, in order to achieve maximum operational feasibility. A cooperative sensing scheme using Kullback Leibler divergence with higher throughput and lower sensing time to avail and identify the underutilized frequency spectrum is presented in this paper. The optimized sensing scheme utilizes the log-likelihood ratio estimated at the secondary user during each sensing instance, with fusion centre acquiring and assimilating this information to estimate the likelihood of spectrum availability. The optimized scheme is implemented in a robust manner assuming the signal and noise are gaussian distributed. Simulation results highlighting the competitive edge of the proposed scheme, with higher throughput over various false alarm probability and signal to noise ratio are presented.