Log-likelihood ratio based signal sensing strategy for cognitive radios

Author

Waadt, Andreas ; Viessmann, A. ; Kocks, Christian ; Spiegel, Christoph ; Burnic, Admir ; Jung, Peter ; BRUCK, Guido H. ; Lim, Euntaek ; Lee, Hyeon Woo

Author_Institution

Lehrstuhl fur Kommunikations Tech., Univ. Duisburg-Essen, Duisburg, Germany

fYear

2009

fDate

24-27 Nov. 2009

Firstpage

1

Lastpage

5

Abstract

Cognitive radios require spectrum sensing. IEEE 802.22 defines constraints on conceivable spectrum sensing techniques. In order to fulfill theses constraints on the required detection probability and allowed false alarm probability, the signal sensing requires a certain sensing time period and an appropriately adjusted decision threshold. This manuscript presents a novel dynamic spectrum sensing scheme which is based on soft outputs. The novel scheme allows the reduction of the sensing time in order to save calculation and power effort.

Keywords

cognitive radio; signal processing; statistical analysis; alarm probability; cognitive radios; log-likelihood ratio; signal sensing strategy; Bandwidth; Cognitive radio; Frequency; Hydrogen; Signal detection; Signal to noise ratio; Standards development; TV; Testing; Timing; Cognitive Radio; IEEE 802.22; Log-Likelihood Ratio; Soft Output; Spectrum Sensing;

fLanguage

English

Publisher

ieee

Conference_Titel

Applied Sciences in Biomedical and Communication Technologies, 2009. ISABEL 2009. 2nd International Symposium on

Conference_Location

Bratislava

Print_ISBN

978-1-4244-4640-7

Electronic_ISBN

978-1-4244-4641-4

Type

conf

DOI

10.1109/ISABEL.2009.5373691

Filename

5373691