Name
Abstract | ||
|---|---|---|
A new cooperative spectrum sensing scheme is proposed to reduce the cooperation overhead. After comparing the local observation with the threshold,the user could decide,whether or not,to transmit local decision to the base station. Two fusion rules,counting rule and Neyman-Pearson rule,are investigated for the proposed sensing scheme. Analysis and simulation show that the proposed scheme guarantees sensing reliability without any performance loss and reduces the communication overhead significantly to achieve high energy efficiency in sensing cooperation. |
Year | DOI | Venue |
|---|---|---|
2011 | null | GLOBECOM |
Keywords | Field | DocType |
Cognitive radio network,Cooperative spectrum sensing,Counting rule,Neyman-Pearson rule | Base station,Efficient energy use,Computer science,Fusion rules,Computer network,Artificial intelligence,High energy,Cognitive radio | Conference |
Volume | Issue | ISSN |
33 | 04 | null |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tao Peng | 1 | 61 | 7.57 |
| Chen Guo | 2 | 33 | 2.23 |
| Wang Wenbo | 3 | 1200 | 130.70 |