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6G Network Dynamics and Complexity Metrics Evaluation Within Artificially Intelligent Digital Twin Cyber-Physical Systems for Enhanced Industry 4.0 Performance

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Abstract

Intelligent digital twins, a game-changing innovation in Industry 4.0, portend a future where AI, 6G network architecture, and digital twins all collaborate for the benefit of society. Their reasoning makes the value of digital twins for cyber physical integration and better manufacturing processes more apparent. This exemplifies AI’s ongoing efforts to improve remote operations, network use, and distributed computing. The agents in this infrastructure and applications demonstrate how AI can transform user experiences, resource management, and system performance. By validating the algorithms performance in an experimental setting, we can see how AI-driven solutions may improve cyber-physical system (CPS) operations and how helpful algorithms like VAR can be. Industry 4.0 is about to undergo a paradigm shift with the convergence of 6G network infrastructure, digital twins, and AI. Artificial intelligence agents are great allies for modern industrial processes because they can understand and adapt to these processes, provide resilience, and drive better performance. The interaction of AI-driven digital twins within the framework of industry 4.0 has the potential to revolutionise industries and propel innovation to new heights.

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Authors and Affiliations

  1. College of Information Science and Engineering, Wuchang Shouyi University, Wuhan, 430064, Hubei, China

    Yinghui Xiao

  2. College of Information Engineering, Wuhan College, Wuhan, 430212, Hubei, China

    Xing Lu

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  1. Yinghui Xiao
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Contributions

Yinghui Xiao: Conceptualization: Contributed to the initial idea or concept of the research project. Data Collection: Gathered data necessary for the study. Methodology: Contributed to the design and planning of the research methodology. Writing—Original Draft Preparation: Drafted the initial version of the manuscript. Review and Editing: Participated in reviewing and editing the manuscript for intellectual content and clarity. Xing Lu: Conceptualization: Contributed to the initial idea or concept of the research project. Supervision: Oversaw the research project, providing guidance and direction. Funding Acquisition: Secured funding or resources necessary for the research. Writing—Review and Editing: Reviewed and edited the manuscript for intellectual content, accuracy, and style. Corresponding Author: Handled communication with the journal editor and addressed any queries related to the manuscript.

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Correspondence to Xing Lu.

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Xiao, Y., Lu, X. 6G Network Dynamics and Complexity Metrics Evaluation Within Artificially Intelligent Digital Twin Cyber-Physical Systems for Enhanced Industry 4.0 Performance. Wireless Pers Commun (2024). https://doi.org/10.1007/s11277-024-11195-z

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  • DOI: https://doi.org/10.1007/s11277-024-11195-z

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