Title :
A new weighted energy detection scheme for centralized cognitive radio networks
Author :
Sharifi, Morteza ; Sharifi, AbbasAli ; Niya, Mir Javad Musevi
Author_Institution :
Fac. of Electr. & Comput. Eng., Univ. of Tabriz, Tabriz, Iran
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.
Keywords :
cognitive radio; cooperative communication; probability; radio spectrum management; signal detection; EGC scheme; centralized cognitive radio networks; cooperative spectrum sensing; equal gain combining scheme; low SNR region; low signal-to-noise ratio region; probability distribution function; received sensing energy; sensing error probability; weighted energy detection method; Cascading style sheets; Cognitive radio; Error probability; Fading; Mathematical model; Sensors; Signal to noise ratio; Cognitive Radio; Cooperative Spectrum Sensing; Energy detection; Soft Combining;
Conference_Titel :
Telecommunications (IST), 2014 7th International Symposium on
Conference_Location :
Tehran
Print_ISBN :
978-1-4799-5358-5
DOI :
10.1109/ISTEL.2014.7000850
