Bandwidth Forecasting
Bandwidth Forecasting is a predictive analytics method that estimates future network traffic demand by modeling historical usage patterns and growth trends to support scalable infrastructure provisioning.
48
Publications
1.4K
Citations
164
Authors
72
Institutions
Publications per year
2017–2026
15
Variants
Bandwidth Demand Forecasting
Parents
48
LinkForecast: Cellular Link Bandwidth Prediction in LTE Networks
Chaoqun Yue, Ruofan Jin, Kyoungwon Suh et al. · IEEE Transactions on Mobile Computing · 2017 · 145 citations
Dynamic bandwidth provisioning using ARIMA-based traffic forecasting for Mobile WiMAX
Hyunwoo Kim, Jun-Hui Lee, Yonghoon Choi et al. · Computer Communications · 2010 · 56 citations
Computing, Mathematics, Forecasting +15
Internet traffic prediction with deep neural networks
Weiwei Jiang · Internet Technology Letters · 2021 · 55 citations
1–5 of 48
164
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Beijing University of Posts and Telecommunications, China
2 publications · 62 citations
2
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2
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2
h-index
1–5 of 164
72
Jilin University
Changchun, China
2 h-index
4 publications
76 citations
Özyeğin University
Istanbul, Türkiye
2 h-index
3 publications
94 citations

Middlesex University
London, United Kingdom
2 h-index
2 publications
38 citations
Tsinghua University
Beijing, China
2 h-index
3 publications
87 citations

Quaid-e-Awam University of Engineering, Science and Technology
Nawabshah, Pakistan
2 h-index
2 publications
62 citations
National University of Singapore
Singapore, Singapore
2 h-index
4 publications
128 citations

Beijing University of Posts and Telecommunications
Beijing, China
2 h-index
11 publications
341 citations

The University of Melbourne
Melbourne, Australia
2 h-index
4 publications
77 citations
1–8 of 72
7 publications · 215 citations
7
h-index
2 publications · 44 citations
2
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IJCIS · 2 publications · 38 citations
2
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2 publications · 66 citations
2
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2 publications · 64 citations
2
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1–5