Artificial-Intelligence-Driven Fog Radio Access Networks: Recent Advances and Future Trends

Journal article

Peer reviewed

Mugen Peng, Tony Q. S. Quek, Guoqiang Mao, Zhiguo Ding and Chongang Wang

IEEE wireless communications, Vol.27(2), pp.12-13

01/04/2020

Abstract

Computer Science

Computer Science, Hardware & Architecture

Computer Science, Information Systems

Engineering

Engineering, Electrical & Electronic

Science & Technology

Technology

Telecommunications

url

https://doi.org/10.1109/MWC.2020.9085257View

Published (Version of record) Open

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Title: Artificial-Intelligence-Driven Fog Radio Access Networks: Recent Advances and Future Trends
Creators - without role: Mugen Peng - Princeton University
Tony Q. S. Quek - Singapore University of Technology and Design
Guoqiang Mao
Zhiguo Ding - University of Manchester
Chongang Wang - Laboratoire de recherche en gestion et économie
Publication Details: IEEE wireless communications, Vol.27(2), pp.12-13
Publisher: IEEE
Number of pages: 2
Identifiers: 9911149809846
Academic Unit: ISTD Pillar; AI & Digital Innovation
Language: English
Resource Type: Journal article