Skip to main navigation Skip to search Skip to main content

Big Data/Machine Learning and D2D

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Recently, big data, machine learning, and D2D communication have gained more attention to support the growth of data traffic and novel applications. The objective of this article is to present critical technology elements and show how new researches move forward to justify user requirements. In particular, D2D communication and vehicular networks can take advantage of the knowledge extracted using machine learning tools from collected data for better understanding and decision. Furthermore, emerging multi-agent reinforcement learning is highlighted to be a suitable tool with high potential. Finally, several research opportunities and challenges are addressed.

Original languageEnglish
Title of host publicationWiley 5G Ref
Subtitle of host publicationThe Essential 5G reference Online
Publisherwiley
Pages1-18
Number of pages18
ISBN (Electronic)9781119471509
DOIs
StatePublished - 1 Jan 2019
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2019 John Wiley & Sons Ltd.

Keywords

  • D2D communication
  • URLLC
  • V2X
  • big data
  • caching
  • data offloading
  • deep reinforcement learning
  • multi-agent

ASJC Scopus subject areas

  • General Engineering

Fingerprint

Dive into the research topics of 'Big Data/Machine Learning and D2D'. Together they form a unique fingerprint.

Cite this