Name
Abstract | ||
|---|---|---|
Spectrum sensing is considered to be one of the most important tasks in cognitive radio. Many sensing detectors have been proposed in the literature, with the common assumption that the primary user is either fully present or completely absent within the window of observation. In reality, there are scenarios where the primary user signal only occupies a fraction of the observed window. This paper aims to analyse the effect of the primary user duty cycle on spectrum sensing performance through the analysis of a few common detectors. Simulations show that the probability of detection degrades severely with reduced duty cycle regardless of the detection method. Furthermore we show that reducing the duty cycle has a greater degradation on performance than lowering the signal strength. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/ISITA.2010.5649546 | Information Theory and its Applications |
Keywords | Field | DocType |
cognitive radio,probability,signal detection,primary user duty cycle impact analysis,probability of detection method,signal strength,spectrum sensing performance | Duty cycle,Electronic engineering,Signal strength,Engineering,Detector,Statistical power,Cognitive radio | Conference |
ISBN | Citations | PageRank |
978-1-4244-6017-5 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kevin Chang | 1 | 355 | 21.42 |
| Yu Chieh Huang | 2 | 0 | 0.68 |
| Bouchra Senadji | 3 | 186 | 20.93 |