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

fYear

2014

fDate

9-11 Sept. 2014

Firstpage

1004

Lastpage

1008

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Telecommunications (IST), 2014 7th International Symposium on

Conference_Location

Tehran

Print_ISBN

978-1-4799-5358-5

Type

conf

DOI

10.1109/ISTEL.2014.7000850

Filename

7000850