Name
Abstract | ||
|---|---|---|
As wireless communication technology is applied to various fields and the non-renewable nature of spectrum resources, spectrum resources become more and more scarce. Spectrum sensing proposed to improve spectrum efficiency requires a lot of time and energy, therefore, people pay attention to spectrum prediction, but most of existing algorithms are only used for single-step prediction. Thus, we use LSTM, Seq-to-Seq modelling and attention mechanism to design a joint multi-channel multi-step spectrum prediction algorithm. The simulation results show that the prediction performance of the algorithm is better than that of single-channel prediction algorithm. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/VTC2021-FALL52928.2021.9625078 | 2021 IEEE 94TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2021-FALL) |
Keywords | DocType | ISSN |
multi-step spectrum prediction, LSTM, attention mechanism, Seq-to-Seq modelling | Conference | 2577-2465 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yulong Gao | 1 | 0 | 3.72 |
| Chunyan Zhao | 2 | 0 | 0.34 |
| Ning Fu | 3 | 0 | 0.34 |