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Conferences > Networks > 2019 > NeTh1D > NeTh1D.4

Achieving Low-Latency H2M Communications through Predicting Bandwidth Demand: A Comparative Study of Statistical Prediction and Machine Learning Techniques

Elaine Wong and Lihua Ruan

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Abstract

Bandwidth demand prediction is crucial in reducing uplink latency of human-to-machine traffic in future converged networks. A comprehensive review of existing statistical prediction and state-of-the-art machine learning techniques is presented.

© 2019 The Author(s)

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