Abstract | ||
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This paper proposes a new spectrum sensing technique, referred to as autonomous compressive sensing (CS)-augmented spectrum sensing, which can be developed to provide more efficient spectrum opportunity identification than geolocation database methods. First, we propose an autonomous CS-based sensing algorithm that enables the local secondary users (SUs) to automatically choose the minimum sensing... |
Year | DOI | Venue |
---|---|---|
2018 | 10.1109/TVT.2018.2822776 | IEEE Transactions on Vehicular Technology |
Keywords | Field | DocType |
Sensors,Databases,Signal to noise ratio,Wideband,Cascading style sheets,Heuristic algorithms,Interference | Wideband,Computer science,Selection algorithm,Cascading Style Sheets,Signal-to-noise ratio,Communication channel,Electronic engineering,Interference (wave propagation),Compressed sensing,Cognitive radio | Journal |
Volume | Issue | ISSN |
67 | 8 | 0018-9545 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Xingjian Zhang | 1 | 9 | 5.55 |
Yuan Ma | 2 | 24 | 8.49 |
Yue Gao | 3 | 558 | 52.83 |
Wei Zhang | 4 | 2546 | 194.57 |