Performance Estimation of Improved Cooperative Spectrum Sensing in Cognitive Radio

The applications of wireless communication are growing day by day; utilization of the spectrum is one of the prime challenges. Cognitive radio is the new era of wireless communication and acts as an immerging solution to the problem. It senses, analyzes and, allocates the vacant frequency band to secondary users (cognitive Radios). Energy detection (E.D.) has been accepted as the most suitable spectrum sensing technique due to its lower complexity, simplicity and majorly because of its blind detection. But the performance of the E.D. is limited by low SNR, shadowing, and multipath fading, so there is a tradeoff between complexity and performance in this conventional Energy detection technique. In this paper improved version of E.D. –Improved Energy Detection (IED)is used as a significant method for the case of cooperative sensing scenario. The proposed framework is also analyzed and compared for the case of different SNR and decision fusion rules. The Simulation result shows that the proposed framework gives excellent performance compared to conventional energy detection (CED) technique with lower complexity which meets the real-time requirement of cooperative spectrum sensing in wireless communication