IEEE TCCN Special Section Editorial: Evolution of Cognitive Radio to AI-Enabled Radio and Networks

Yue Gao; Ekram Hossain; Geoffrey Ye Li; Kevin Sowerby; Carlo Regazzoni; Lin Zhang

doi:10.1109/TCCN.2020.2975440

Back

Journal article

IEEE TCCN Special Section Editorial: Evolution of Cognitive Radio to AI-Enabled Radio and Networks

Yue Gao, Ekram Hossain, Geoffrey Ye Li, Kevin Sowerby, Carlo Regazzoni and Lin Zhang

IEEE transactions on cognitive communications and networking, Vol.6(1), pp.1-5

03/2020

DOI: https://doi.org/10.1109/TCCN.2020.2975440

Abstract

We are delighted to introduce this special section of the IEEE Transactions on Cognitive Communications and Networking (TCCN), which aims at addressing the evolution of cognitive radio (CR) to intelligence radio and networks by exploring recent advances in artificial intelligence (AI) and machine learning (ML). We have selected 14 articles for this special section after a rigorous review process, which are briefly discussed as follows.

Metrics

114 Record Views

7 Times Cited - Web of Science

Details

Title: IEEE TCCN Special Section Editorial: Evolution of Cognitive Radio to AI-Enabled Radio and Networks
Creators: Yue Gao - University of Surrey, School of Computer Science and Electronic Engineering
Ekram Hossain - University of Manitoba, Canada
Geoffrey Ye Li - Georgia Institute of Technology, USA
Kevin Sowerby - University of Auckland, New Zealand
Carlo Regazzoni - University of Genova, Italy
Lin Zhang - University of Electronic Science and Technology of China, China
Publication Details: IEEE transactions on cognitive communications and networking, Vol.6(1), pp.1-5
Publisher: IEEE
Date published: 03/2020
Identifiers: 99537023502346
Academic Unit: School of Computer Science and Electronic Engineering
Language: English
Resource Type: Journal article

IEEE TCCN Special Section Editorial: Evolution of Cognitive Radio to AI-Enabled Radio and Networks

Abstract

Metrics

Details

Usage Policy