Name
Abstract | ||
|---|---|---|
Spectrum sensing plays a central role in cognitive radio (CR), because it represents the way that the radio looks for unused (and thus available) portions of the spectrum, often called spectrum holes. The detection of spectrum holes requires wideband spectrum sensing techniques, capable to observe a wide frequency band and to correctly identify which portions of such band contain only noise. In this work, we propose a novel wideband spectrum sensing technique relying on a model order selection problem, which in turn is solved by information theoretic criteria (ITC). This strategy exploits jointly spectral correlation and received energy to discern signals from noise in a blind way. Indeed the proposed algorithm does not require neither the knowledge of the noise power nor any a-priori information about the number, and the characteristics, of the signals to be detected. Numerical results reveal that the algorithm proposed outperforms the existing ones, especially in the presence of spectral correlation. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1145/2093256.2093322 | CogART |
Keywords | Field | DocType |
spectral correlation,noise power,spectrum holes detection,information theoretic criterion,wide frequency band,cognitive radio,wideband spectrum,novel wideband spectrum,proposed algorithm,a-priori information,spectrum hole,spectrum | Wideband,Noise power,Telecommunications,Model order selection,Frequency band,Computer science,Algorithm,Exploit,Real-time computing,Cognitive radio | Conference |
Citations | PageRank | References |
4 | 0.59 | 18 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andrea Giorgetti | 1 | 55 | 6.10 |
| Andrea Mariani | 2 | 31 | 5.15 |
| Marco Chiani | 3 | 1869 | 134.93 |