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...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:IEEE wireless communications Ročník 30; číslo 3; s. 130 - 131
Hlavní autoři: Chen, Min, Gharavi, Hamid, Humar, Iztok, Song, Jeungeun, Leung, Victor C. M.
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.06.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
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
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí: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.
Bibliografie: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