Abstract | ||
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Traffic learning and prediction is at the heart of the evaluation of the performance of telecommunications networks and attracts a lot of attention in wired broadband networks. Now, benefiting from the big data in cellular networks, it becomes possible to make the analyses one step further into the application level. In this paper, we first collect a significant amount of application-level traffic... |
Year | DOI | Venue |
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2017 | 10.1109/TWC.2017.2689772 | IEEE Transactions on Wireless Communications |
Keywords | DocType | Volume |
Cellular networks,Predictive models,Dictionaries,Mathematical model,Analytical models,Broadband communication | Journal | 16 |
Issue | ISSN | Citations |
6 | 1536-1276 | 7 |
PageRank | References | Authors |
0.48 | 22 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Rongpeng Li | 1 | 373 | 41.78 |
Zhifeng Zhao | 2 | 68 | 7.70 |
Jianchao Zheng | 3 | 223 | 16.21 |
Chengli Mei | 4 | 7 | 0.48 |
Yueming Cai | 5 | 918 | 102.96 |
Honggang Zhang | 6 | 1223 | 108.55 |