Title :
Quickest spectrum sensing in cognitive radio
Author :
Li, Husheng ; Li, Chengzhi ; Dai, Huaiyu
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Tennessee Univ., Knoxville, TN
Abstract :
Quickest detection is applied to frequency spectrum sensing in cognitive radio systems. Distribution change in frequency domain is detected for vacating secondary radio networks from licensed frequency band. A successive refinement based quickest detection is proposed to tackle the problem of unknown parameters of primary radio signal. Cooperative quickest detection is used to enhance the performance of quickest spectrum sensing in secondary radio systems without data fusion centers. Performance is evaluated using theoretical analysis and numerical simulations.
Keywords :
cognitive radio; radio spectrum management; spectral analysis; cognitive radio; frequency domain; frequency spectrum sensing; quickest detection; quickest spectrum sensing; radio signal; secondary radio system; Cognitive radio; Detection algorithms; Digital TV; Frequency domain analysis; Monitoring; Numerical simulation; Performance analysis; RF signals; Radio network; Testing;
Conference_Titel :
Information Sciences and Systems, 2008. CISS 2008. 42nd Annual Conference on
Conference_Location :
Princeton, NJ
Print_ISBN :
978-1-4244-2246-3
Electronic_ISBN :
978-1-4244-2247-0
DOI :
10.1109/CISS.2008.4558521
