Cooperative wideband spectrum sensing in suspicious cognitive radio network. Issue 2 (1st June 2013)

• Record Type: Journal Article
• Authors: Srinu, Sesham; Sabat, Samrat Lagnajeet
• Is Part Of: IET wireless sensor systems. Volume 3:Issue 2(2013)
• Page Start: 153
• Page End: 161
• Publication Date: 2013-06-01
• Subjects: broadband networks -- cognitive radio -- entropy -- field programmable gate arrays -- frequency‐domain analysis -- probability -- radio spectrum management -- wireless channels -- cooperative communication; cooperative wideband spectrum sensing -- suspicious cognitive radio network -- received signal -- frequency domain -- suspicious cognitive user -- Xilinx Virtex‐4 field programmable gate array -- hardware‐in‐the‐loop simulation -- detection probability -- false alarm probability -- signal‐to‐noise ratio regime -- excluded suspicious user -- entropy detection method -- channel environment -- energy detection technique -- sigma limit test -- generalised extreme studentised deviate test; broadband networks -- cognitive radio -- entropy -- field programmable gate arrays -- frequency‐domain analysis -- probability -- radio spectrum management -- wireless channels -- cooperative communication; cooperative wideband spectrum sensing -- suspicious cognitive radio network -- received signal -- frequency domain -- suspicious cognitive user -- Xilinx Virtex‐4 field programmable gate array -- hardware‐in‐the‐loop simulation -- detection probability -- false alarm probability -- signal‐to‐noise ratio regime -- excluded suspicious user -- entropy detection method -- channel environment -- energy detection technique -- sigma limit test -- generalised extreme studentised deviate test; Wireless sensor networks -- Periodicals; 681.2
• DOI: 10.1049/iet-wss.2012.0044
• Languages: English
• ISSNs: 2043-6386

Abstract

Abstract : This study presents a cooperative wideband spectrum‐sensing technique based on the entropy of the received signal in the frequency domain. To enhance the efficiency of detection, multiple suspicious cognitive users are excluded from the network using generalised extreme studentised deviate test and sigma limit test. The performance of the proposed technique is compared with the energy detection technique under different channel environments. The simulation results demonstrate that the entropy detection method, with excluded suspicious users, has 9 dB improvement in performance compared to the energy detection technique in extremely low signal‐to‐noise ratio regime. This is a significant improvement for cognitive radio systems. The simulations were performed with false alarm probability and detection probability of 0.01 and 0.9, respectively. The hardware‐in‐the‐loop simulation of the proposed algorithm is further carried out in the Xilinx Virtex‐4 Field Programmable Gate Array.