Title :
Energy detection of primary signals over η - μ fading channels
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 performance analysis of an energy detector is exploited under the η - μ fading channel model. The received unknown signal at the energy detector is considered as the primary signal transmitted by a primary network user (e.g. cognitive radio network). This research is focused on derivation of the closed-form average detection probability over the η - μ fading channel model. Further, results are extended to two diversity reception cases such as maximal ratio combining (MRC) and square-law combining (SLC) techniques with independent fading channels. Detection performance is discussed with receiver operating characteristics (ROC) curves. Our analysis is validated by numerical and simulation results.
Keywords :
fading channels; numerical analysis; probability; signal detection; closed-form average detection probability; diversity reception cases; energy detector; fading channels; maximal ratio combining; numerical analysis; primary network user; primary signals energy detection; receiver operating characteristics curves; simulation analysis; square-law combining techniques; η - μ fading model; diversity; energy detection;
Conference_Titel :
Industrial and Information Systems (ICIIS), 2009 International Conference on
Conference_Location :
Sri Lanka
Print_ISBN :
978-1-4244-4836-4
Electronic_ISBN :
978-1-4244-4837-1
DOI :
10.1109/ICIINFS.2009.5429879