AI for 5G: research directions and paradigms

  • YOU X
  • WU H
  • TAN X
  • et al.
N/ACitations
Citations of this article
16Readers
Mendeley users who have this article in their library.

Abstract

The 5th wireless communication (5G) techniques not only fulfil the requirement of 1; 000 times increase of internet traffc in the next decade, but also oer the underlying technologies to the entire in-dustry and ecology for internet of everything. Compared to the existing mobile communication techniques, 5G techniques are more-widely applicable and the corresponding system design is more complicated. The resurgence of artificial intelligence (AI) techniques o ers as an alternative option, which is possibly superior over traditional ideas and performance. Typical and potential research directions to which AI can make promising contributions need to be identified, evaluated, and investigated. To this end, this overview paper first combs through several promising research directions of AI for 5G, based on the understanding of the 5G key techniques. Also, the paper devotes itself in providing design paradigms including 5G network opti-mization, optimal resource allocation, 5G physical layer unified acceleration, end-to-end physical layer joint optimization, and so on.

Cite

CITATION STYLE

APA

YOU, X., WU, H., TAN, X., JIN, S., & ZHANG, C. (2018). AI for 5G: research directions and paradigms. SCIENTIA SINICA Informationis, 48(12), 1589–1602. https://doi.org/10.1360/n112018-00174

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free