Name
Title | ||
|---|---|---|
Non-parametric multiple-antenna blind spectrum sensing by predicted eigenvalue threshold. |
Abstract | ||
|---|---|---|
In this paper, we consider the problem of sensing a primary user in a cognitive radio network by employing multiple antennas at the secondary user. Among the many spectrum-sensing methods, the predicted eigenvalue threshold (PET) based method is a promising non-parametric blind method that can reliably detect the primary users without any prior information. Then, a simplified PET sensing method, which needs to compare only one eigenvalue to its threshold, is introduced. Compared with the original PET sensing algorithm, the simplified algorithm significantly reduces the computational complexity without any loss in performance. A performance comparison between the proposed method and other existing methods is provided. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/ICC.2012.6364340 | ICC |
Keywords | Field | DocType |
cognitive radio,computational complexity,eigenvalues and eigenfunctions,radio spectrum management,PET sensing method,cognitive radio network,computational complexity,multiple antennas,nonparametric blind method,nonparametric multiple-antenna blind spectrum sensing,original PET sensing,predicted eigenvalue threshold,primary user,secondary user,cognitive radio,multiple-antenna,predicted eigenvalue threshold,random matrix theory,spectrum sensing | Mathematical optimization,Computer science,Algorithm,Nonparametric statistics,Real-time computing,Multiple antenna,Eigenvalues and eigenvectors,Random matrix,Computational complexity theory,Cognitive radio,Radio spectrum management | Conference |
ISSN | Citations | PageRank |
1550-3607 | 1 | 0.35 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kais Hassan | 1 | 5 | 1.45 |
| Roland Gautier | 2 | 87 | 8.45 |
| Iyad Dayoub | 3 | 72 | 19.71 |
| Emanuel Radoi | 4 | 79 | 15.62 |
| Marion Berbineau | 5 | 185 | 34.15 |