Abstract | ||
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Wireless traffic prediction is of great significance in wireless networks and communication systems, and has been widely studied. However, the theoretical limits of this prediction remain open, especially on whether the theoretical limit is valid and whether it can be approached by the actual prediction algorithm. This article performs voice traffic predictability analysis based on real entropy an... |
Year | DOI | Venue |
---|---|---|
2021 | 10.1109/MCOM.001.2100079 | IEEE Communications Magazine |
Keywords | DocType | Volume |
Support vector machines, Upper bound, Wireless networks, Time series analysis, Predictive models, Data science, Prediction algorithms | Journal | 59 |
Issue | ISSN | Citations |
8 | 0163-6804 | 2 |
PageRank | References | Authors |
0.36 | 0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Junyao Guo | 1 | 2 | 0.36 |
Yineng Chen | 2 | 2 | 0.36 |
Jinkang Zhu | 3 | 137 | 27.65 |
Sihai Zhang | 4 | 63 | 19.50 |