Guest Editorial: AI-Driven Theory, Technology and Application for Sensing, Interaction, and Digitalization in the 6G Era

In the upcoming 6G era, network communication will no longer be focused solely on indicators, such as bandwidth and latency. The influx of distributed service nodes and gradually perfected deep learning theories are now pushing the network communication environment into a wave of intelligence. In th...

Full description

Saved in:
Bibliographic Details
Published in:IEEE wireless communications Vol. 30; no. 3; pp. 130 - 131
Main Authors: Chen, Min, Gharavi, Hamid, Humar, Iztok, Song, Jeungeun, Leung, Victor C. M.
Format: Journal Article
Language:English
Published: New York IEEE 01.06.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
6G mobile communication
Artificial intelligence
Communication networks
Digital systems
Digital twins
Digitization
Intelligent networks
Machine learning
Network latency
Perception
Sensors
Special issues and sections
ISSN:1536-1284, 1558-0687
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In the upcoming 6G era, network communication will no longer be focused solely on indicators, such as bandwidth and latency. The influx of distributed service nodes and gradually perfected deep learning theories are now pushing the network communication environment into a wave of intelligence. In the 6G era, more emphasis will be placed on the immersive experience of humans in the space where perception, transmission, and computing are integrated. Consequently, this promotes a paradigm shift from traditional sensing devices by enabling non-perceptual devices with the capability of data perception. On the other hand, it also requires researchers to realize the mining and utilization of massive data. In addition, digital twin technology has also gradually merged into traditional application fields and expanded to a wider field of enabling intelligent network services.
Bibliography:SourceType-Scholarly Journals-1
content type line 14
ObjectType-Editorial-2
ObjectType-Commentary-1
ISSN:1536-1284
1558-0687
DOI:10.1109/MWC.2023.10183784