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 language | English |
|---|---|
| Title of host publication | Wiley 5G Ref |
| Subtitle of host publication | The Essential 5G reference Online |
| Publisher | wiley |
| Pages | 1-18 |
| Number of pages | 18 |
| ISBN (Electronic) | 9781119471509 |
| DOIs | |
| State | Published - 1 Jan 2019 |
| Externally published | Yes |
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
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver