A New Weighted Energy Detection Scheme for Centralized Cognitive Radio Networks, By Abbas Ali Sharifi

Research

Title	A New Weighted Energy Detection Scheme for Centralized Cognitive Radio Networks
Type	Presentation
Keywords	Cognitive Radio; Energy detection; Cooperative Spectrum Sensing; Soft Combining.
Researchers	Morteza Sharifi، Abbas Ali Sharifi، Mir Javad Musevi Niya

Abstract

In order to improve the performance of spectrum sensing usage for Cognitive Radio (CR) user, weighted Energy Detection (ED) methods is proposed. In this paper, we consider Cooperative Spectrum Sensing (CSS) in centralized CR networks. The main purpose is to design a new weight model which is given by received sensing energy from all CR users and its probability distribution function. Subsequently, a method of obtaining an optimum threshold to minimize the sensing error probability is provided. The simulation results show that significant gain achieved in detection accuracy by exploiting proposed scheme compared with conventional Equal Gain Combining (EGC) scheme, especially in low Signal-to-Noise Ratio (SNR) region.