DefinePK

Abstract

Contemporary wireless communication is administered by spectrum assignment policy and different measurement studies have proved it to be incompetent. In cognitive radio network, to enhance the utilization of radio spectrum, unused spectrum slots of licensed or primary users are sensed and used by secondary users. In Cognitive Radio spectrum sensing performance is more important. The most intelligent aptitude of a cognitive network is to alter the quality of service (QoS) parameters in the tune of the sensed parameters which is varying with time and geographical locations. In this paper, the QoS parameters of cognitive radio, like, bandwidth, signal to noise ratio (SNR), bit error probability (BEP), are optimized using multi-objective genetic algorithm (GA). This is adaptive and demand based optimization of cognitive radio parameters which adapts with the varying nature of available spectrum holes. Probability of detection and probability of false alarm over a set of optimized SNR values are also optimized. The simulation results show that the proposed method gives better real life performance of the cognitive radio network than the generalized genetic algorithm approach.