BOUNDARY DETECTION USING DISTRIBUTED BOUNDARY ESTIMATION ALGORITHM IN CONGNITIVE RADIO NETWORKS

Abstract

In a cognitive radio system, the spectrum shares its information among its primary user (PU) and secondary user (SU). While sharing the spectrum among the users interference problem may arise. In this paper we are discussing about the problem in primary user while estimating the senseless area which means that the secondary user may uses the primary user spectrum without consider whether primary user is transmitting or not. In our proposed work we discuss the boundary estimated algorithm. This algorithm may determine the boundary of primary user and secondary users to utilize the spectrum in efficient way. By using boundary estimated algorithm the secondary users will measures the boundary of no-talk area. The boundary is calculated by secondary users by transfers the message among them and measuring the trade-off in estimation error, examines throughput and communication cost, arrangement complexity and robustness. This algorithm helps to improve the communication tradeoff value and estimation performance value. The performance estimation value by using boundary estimated algorithm is better than other algorithms. Error in spectrum sensing is minimized by using this technique. The communication cost is high when compared with least square support vector machine algorithm.