A new weighted energy detection scheme for centralized cognitive radio networks

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 b...

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Bibliographic Details
Main Authors: Sharifi, Morteza, Sharifi, AbbasAli, Niya, Mir Javad Musevi
Format: Conference Proceeding
Language:English
Subjects:
Cascading style sheets
Cognitive radio
Cooperative Spectrum Sensing
Energy detection
Error probability
Fading
Mathematical model
Sensors
Signal to noise ratio
Soft Combining
Online Access:Request full text
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Summary: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.
DOI:10.1109/ISTEL.2014.7000850