6G Cross-Layer Intent Engine: Automated Translation from Business Requirements to Network Policies and Real-Time Scheduling Controls

Authors

  • Bhaskara Raju Rallabandi Author

DOI:

https://doi.org/10.64751/ijdim.2024.v3.n1.pp44-48

Keywords:

6G intent translation, cross-layer intelligence, network policies, real-time scheduling.

Abstract

The 6G Cross-Layer Intent Engine is a framework that provides complete network behavior automation by turning the general business needs into the network policies and real-time scheduling that can be performed. The framework suggests a multi-level intent pipeline through which the semantic business objectives are transformed into slice templates, RIC policies, and scheduler primitives, which are of fine granularity in the RAN, core, and edge areas, respectively. By using semantic parsing, rule-based policy synthesis, and closed-loop intelligence, the engine maintains a very close correlation between the stakeholder's intentions and the network's performance. The experimental results show significant gains in the areas of SLA compliance, delay variation, and resource utilization. The suggested method is a step forward in the development of an intent-driven 6G architecture that provides a scalable platform for the most demanding verticals, private networks, and NTN-integrated deployments.

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Published

2024-03-19

How to Cite

Bhaskara Raju Rallabandi. (2024). 6G Cross-Layer Intent Engine: Automated Translation from Business Requirements to Network Policies and Real-Time Scheduling Controls. International Journal of Data Science and IoT Management System, 3(1), 44–48. https://doi.org/10.64751/ijdim.2024.v3.n1.pp44-48

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