Title :
Spectrum sensing in low SNR: Diversity combining and cooperative communications
Author :
Atapattu, Saman ; Tellambura, Chintha ; Jiang, Hai
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Alberta, Edmonton, AB, Canada
Abstract :
In this paper, the detection performance of an energy detector used for cooperative spectrum sensing in cognitive radio networks is investigated under very low signal-to-noise ratio (SNR) levels. The analysis focuses on the derivation of closed-form expressions for the false-alarm and the average missed-detection probabilities for two cases over different fading channels: (i) with diversity combining; and (ii) with cooperative communications. The detection threshold is optimized by minimizing the total error rate. The analysis is validated by numerical and semi-analytical Monte-Carlo simulation results, which focus on the sensing requirements defined in IEEE 802.22.
Keywords :
Monte Carlo methods; cooperative communication; diversity reception; IEEE 802.22; Monte-Carlo simulation; SNR levels; average missed-detection probabilities; closed-form expressions; cooperative communications; cooperative spectrum sensing; diversity combining; low SNR; signal-to-noise ratio; Cognitive radio; Detectors; Diversity reception; Error analysis; Fading; Signal to noise ratio; Cognitive radio; cooperative communications; diversity combining; energy detection; spectrum sensing;
Conference_Titel :
Industrial and Information Systems (ICIIS), 2011 6th IEEE International Conference on
Conference_Location :
Kandy
Print_ISBN :
978-1-4577-0032-3
DOI :
10.1109/ICIINFS.2011.6038032
