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  • Asia Communications and Photonics Conference (ACPC) 2019
  • OSA Technical Digest (Optica Publishing Group, 2019),
  • paper S4C.1

An Evaluation of Machine Learning Techniques to Support Latency-Sensitive Human-to-Machine (H2M) Communications

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Abstract

Summarizing state-of-the-art machine learning techniques, we review their technical details and their performance in allocating bandwidth resource in support of latency-sensitive H2M applications. An evaluation of different techniques, in terms of problem formulation, time and memory costs, bandwidth prediction performance, is also presented.

© 2019 The Author(s)

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