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...
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| Published in: | IEEE wireless communications Vol. 30; no. 3; pp. 130 - 131 |
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| Main Authors: | , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
New York
IEEE
01.06.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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| ISSN: | 1536-1284, 1558-0687 |
| Online Access: | Get full text |
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| Abstract | 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. |
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| AbstractList | 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. |
| Author | Leung, Victor C. M. Chen, Min Gharavi, Hamid Humar, Iztok Song, Jeungeun |
| Author_xml | – sequence: 1 givenname: Min surname: Chen fullname: Chen, Min email: minchen@ieee.org – sequence: 2 givenname: Hamid surname: Gharavi fullname: Gharavi, Hamid email: hamid.gharavi@nist.gov – sequence: 3 givenname: Iztok surname: Humar fullname: Humar, Iztok email: iztok.humar@fe.uni-lj.si – sequence: 4 givenname: Jeungeun surname: Song fullname: Song, Jeungeun email: jsong@ece.ubc.ca – sequence: 5 givenname: Victor C. M. surname: Leung fullname: Leung, Victor C. M. email: vleung@ieee.org |
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| SubjectTerms | 6G mobile communication Artificial intelligence Communication networks Digital systems Digital twins Digitization Intelligent networks Machine learning Network latency Perception Sensors Special issues and sections |
| Title | Guest Editorial: AI-Driven Theory, Technology and Application for Sensing, Interaction, and Digitalization in the 6G Era |
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