Spatio-temporal analysis and prediction of cellular traffic in metropolis

• 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
• Institution: Singapore Management University

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...