Case Study: Demand Forecasting for Predictive Network Managements

Xiang Cheng; Luoyang Fang; Liuqing Yang; Shuguang Cui

doi:10.1007/978-3-319-96116-3_6

Case Study: Demand Forecasting for Predictive Network Managements

Xiang Cheng^*, Luoyang Fang, Liuqing Yang, Shuguang Cui

^*Corresponding author for this work

Research output: Chapter in Book/Conference Proceeding/Report › Book Chapter › peer-review

1 Citation (Scopus)

Abstract

The mobile big data collected by mobile network operators can also benefit the management of mobile networks as stated previously.

Original language	English
Title of host publication	Wireless Networks(United Kingdom)
Publisher	Springer Science and Business Media B.V.
Pages	71-95
Number of pages	25
DOIs	https://doi.org/10.1007/978-3-319-96116-3_6
Publication status	Published - 2018
Externally published	Yes

Publication series

Name	Wireless Networks(United Kingdom)
ISSN (Print)	2366-1186
ISSN (Electronic)	2366-1445

Bibliographical note

Publisher Copyright:
© 2018, Springer International Publishing AG, part of Springer Nature.

Keywords

Demand Forecasting
Gated Recurrent Unit (GRU)
Graph Convolution
Graph Convolutional Network (GCN)
Graph Signal Processing (GSP)

Access to Document

10.1007/978-3-319-96116-3_6

Cite this

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title = "Case Study: Demand Forecasting for Predictive Network Managements",

abstract = "The mobile big data collected by mobile network operators can also benefit the management of mobile networks as stated previously.",

keywords = "Demand Forecasting, Gated Recurrent Unit (GRU), Graph Convolution, Graph Convolutional Network (GCN), Graph Signal Processing (GSP)",

author = "Xiang Cheng and Luoyang Fang and Liuqing Yang and Shuguang Cui",

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T1 - Case Study

T2 - Demand Forecasting for Predictive Network Managements

AU - Cheng, Xiang

AU - Fang, Luoyang

AU - Yang, Liuqing

AU - Cui, Shuguang

PY - 2018

Y1 - 2018

N2 - The mobile big data collected by mobile network operators can also benefit the management of mobile networks as stated previously.

AB - The mobile big data collected by mobile network operators can also benefit the management of mobile networks as stated previously.

KW - Demand Forecasting

KW - Gated Recurrent Unit (GRU)

KW - Graph Convolution

KW - Graph Convolutional Network (GCN)

KW - Graph Signal Processing (GSP)

UR - https://www.webofscience.com/wos/woscc/full-record/WOS:000462931900007

UR - https://www.scopus.com/pages/publications/85081090783

U2 - 10.1007/978-3-319-96116-3_6

DO - 10.1007/978-3-319-96116-3_6

M3 - Book Chapter

T3 - Wireless Networks(United Kingdom)

SP - 71

EP - 95

BT - Wireless Networks(United Kingdom)

PB - Springer Science and Business Media B.V.

ER -

Case Study: Demand Forecasting for Predictive Network Managements

Abstract

Publication series

Bibliographical note

Keywords

Access to Document

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Cite this