Abstract
Wireless communication is evolving to support critical control in automation systems. The fifth-generation (5G) mobile network air interface New Radio adopts a scalable numerology and mini-slot transmission for short packets that make it potentially suitable for critical control systems. The reliable minimum cycle time is an important indicator for industrial communication techniques but has not yet been investigated within 5G. To address such a question, this article considers 5G-based industrial networks and uses the delay optimization based on data-driven channel characterization (CCDO) approach to propose a method to evaluate the reliable minimum cycle time of 5G. Numerical results in three representative industrial environments indicate that following the CCDO approach, 5G-based industrial networks can achieve, in real-world scenario, millisecond-level minimum cycle time to support several hundred nodes with reliability higher than 99.9999%.
Highlights
W IRELESS communication for critical control in automation systems is an active area of development
Delay optimization based on channel characterization (CCDO) in [16] proposes to design the physical layer (PHY) parameters of the orthogonal frequency-division multiplexing (OFDM) system based on a data-driven industrial channel characterization to achieve high reliability requirement
We provide a mechanism for resource allocation of 5G New Radio (NR) to meet reliability requirement by applying CCDO
Summary
W IRELESS communication for critical control in automation systems is an active area of development. The primary goal of any industrial communication network is to achieve acceptable MCT for the targeted application with a given number of slave nodes and amount of data exchanged under a certain reliability requirement [14]. Due to the lack of 5G standardized products, it is not available to carry out experimental validation, which adds difficulty for the reliability performance evaluation In this direction, delay optimization based on channel characterization (CCDO) in [16] proposes to design the PHY parameters of the orthogonal frequency-division multiplexing (OFDM) system based on a data-driven industrial channel characterization to achieve high reliability requirement. With the scalable numerology parameters and a variety of PHY transmission parameters supported, it is of interest and importance to investigate 5G NR parameter setting and resource allocation in industrial environments to guarantee reliability requirement.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.