Name
Abstract | ||
|---|---|---|
Spectrum prediction is an important technology for spectrum cognition which constitutes the premise of cognitive radio technology. However, most of the existing spectrum prediction methods were proposed for common frequency bands. Based on this philosophy, these methods generally build a mapping model between historical statistical information and future state, and performance of the single model ... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/WCNCW49093.2021.9420005 | 2021 IEEE Wireless Communications and Networking Conference Workshops (WCNCW) |
Keywords | DocType | ISSN |
Conferences,Reinforcement learning,Predictive models,Prediction algorithms,Data models,Cognition,Classification algorithms | Conference | 2167-8189 |
ISBN | Citations | PageRank |
978-1-7281-9507-0 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chao Yang | 1 | 87 | 22.49 |
| Peng Tao | 2 | 2 | 4.10 |
| Peiliang Zuo | 3 | 0 | 3.72 |
| Xinyue Wang | 4 | 0 | 0.34 |