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Wideband spectrum sensing based on energy detection for Cognitive Radio network

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3 Author(s)
Srinu, S. ; Sch. of Phys., Univ. of Hyderabad, Hyderabad, India ; Sabat, S.L. ; Udgata, S.K.

Spectrum sensing is an essential concept in Cognitive Radio (CR) systems. It exploits the inefficient utilization of radio frequency spectrum without causing destructive interference to the licensed/primary user communication. In recent past, most of the studies on spectrum sensing are focused on cooperative/multinode detection approaches. However, they are confined to the detection of signals in a single frequency band or narrow band. In order to improve the opportunistic throughput, the CR must sense the signals in multiple bands or wideband. This paper presents a wideband spectrum sensing technique based on energy measurement in each sub band. The simulation result shows that the wideband sensing algorithm detects primary user (PU) signal upto -8dB average SNR with sample size 256, for 8 nodes in cooperation. It is able to detect only upto 0dB average SNR for singe node detection with sample size 64 with detection probabilty Pd ≥ 0.9, and false alarm probability Pf ≤ 0.01. We have also implemented the wideband spectrum sensing in Xilinx Virtex-4 (XC4VSX35-FFG668-10) Field programmable Gate Arrays.

Published in:

Information and Communication Technologies (WICT), 2011 World Congress on

Date of Conference:

11-14 Dec. 2011

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