Spatio-temporal analysis and prediction of cellular traffic in metropolis

Spatio-temporal analysis and prediction of cellular traffic in metropolis

Understanding and predicting cellular traffic at large-scale and fine-granularity is beneficial and valuable to mobile users, wireless carriers and city authorities. Predicting cellular traffic in modern metropolis is particularly challenging because of the tremendous temporal and spatial dynamics i...

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Bibliographic Details
Main Authors: WANG, Xu, ZHOU, Zimu, XIAO, Fu, XING, Kai, YANG, Zheng, LIU, Yunhao, PENG, Chunyi
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2019
Subjects:
Cellular networks
Internet
Mobile handsets
Monitoring
Poles and towers
Predictive models
Urban areas
Software Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/4532
https://ink.library.smu.edu.sg/context/sis_research/article/5535/viewcontent/tmc19_wang.pdf
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Institution: Singapore Management University
Language: English

Internet

https://ink.library.smu.edu.sg/sis_research/4532
https://ink.library.smu.edu.sg/context/sis_research/article/5535/viewcontent/tmc19_wang.pdf

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