Name
Abstract | ||
|---|---|---|
Reliable and efficient identification of spectrum access opportunities is crucial for cognitive radio ad hoc networks (CRAHNs). A promising method to improve sensing reliability is CSS, where sensing data from multiple secondary users is combined to facilitate decision making. However, the performance of CSS algorithms in CRAHNs is limited by two challenges. First, the spectrum occupancy status in... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/MCOM.2018.1700743 | IEEE Communications Magazine |
Keywords | Field | DocType |
Sensors,Cascading style sheets,Fading channels,Cognitive radio,Ad hoc networks,Task analysis,Wireless communication | Data mining,Wireless,Polynomial,Computer science,Cascading Style Sheets,Sensor fusion,Image segmentation,Wireless ad hoc network,Time complexity,Distributed computing,Cognitive radio | Journal |
Volume | Issue | ISSN |
56 | 4 | 0163-6804 |
Citations | PageRank | References |
2 | 0.36 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Keyu Wu | 1 | 2 | 2.38 |
| Min Tang | 2 | 623 | 51.33 |
| C. Tellambura | 3 | 4889 | 374.02 |
| Dong-tang Ma | 4 | 25 | 4.50 |