Toward Industrial Metaverse: Age of Information, Latency and Reliability of Short-Packet Transmission in 6G

Industrial metaverse, as an emerging paradigm of the next generation industry transformation, aims to build a fully immersive virtual space that can interact with physical space in real time, and enhance its operation and process efficiency. Short-packet communication takes a substantial portion of...

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Vydáno v:IEEE wireless communications Ročník 30; číslo 2; s. 40 - 47
Hlavní autoři: Cao, Jie, Zhu, Xu, Sun, Sumei, Wei, Zhongxiang, Jiang, Yufei, Wang, Jingjing, Lau, Vincent K.N.
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.04.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
6G mobile communication
Business metrics
Co-design
Communication
Data exchange
Indicators
Information age
Key performance indicator
Metaverse
Optimization
Packet transmission
Real time
Real-time systems
Reliability
Sensors
Ultra reliable low latency communication
ISSN:1536-1284, 1558-0687
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Shrnutí:Industrial metaverse, as an emerging paradigm of the next generation industry transformation, aims to build a fully immersive virtual space that can interact with physical space in real time, and enhance its operation and process efficiency. Short-packet communication takes a substantial portion of data exchange, which requires extremely high reliability and low latency, to keep information fresh, a measure of Age of Information (AoI), Given stringent communication requirements, coupled with systems with limited resources, achieving an immersive and interactive industrial metaverse is very challenging. We are motivated to re-look at the coupled relationships of Key Performance Indicators (KPIs) - for example: AoI latency and reliability in sixth-generation (6G), Ultra-Reliable and Low-Latency Communication (URLLC). We then investigate the potential of short-packet structure optimization for improving these Key Performance Indicators (KPIs). We present the co-design of sensing, communication, control and computing to realize the required real-time intelligence. Finally, we discuss future research directions.
Bibliografie:ObjectType-Article-1
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ISSN:1536-1284
1558-0687
DOI:10.1109/MWC.2001.2200396