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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| Main Authors: | , , , , , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2019
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| Subjects: | |
| 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 |