AIORA: An AI-Native Multi-Stakeholder Orchestration Architecture for 6G Continuum

2025-12-05

AI Summary

To address the stringent requirements of 6G networks—namely, high flexibility, reliability, and self-adaptability—this paper proposes an AI-native, multi-stakeholder collaborative architecture for intelligent, cross-domain, and full-lifecycle orchestration of edge-to-cloud continuum resources. Methodologically, it introduces the novel concept of “multi-segment virtual continuum” and a nested AI-driven closed-loop mechanism, integrating 3GPP edge-enabling layers, ETSI MEC, GSMA operator platforms, and CAMARA-standardized APIs into an open, extensible automated orchestration framework. The key contribution lies in transcending traditional single-domain optimization by enabling zero-touch, cooperative scheduling across multiple operators and heterogeneous environments. Experimental evaluation demonstrates significant improvements: 42% higher service deployment flexibility, 67% reduction in fault recovery time, and 31% increase in resource utilization.

Technology Category

• Planning, Routing, and Scheduling: Plan Execution and Monitoring
• Machine Learning: Learning on the Edge & Model Compression
• Search and Optimization: Mixed Discrete/Continuous Search

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Cloud, edge and content delivery systems for the Web
• Economics, Online Markets and Human Computation: Economic ramifications for generative AI infrastructure and applications
• Social Networks and Social Media: Generative AI / large language models and their impact on social systems

Abstract

This paper elaborates on a novel AI-native architecture for emerging 6G systems harnessing open APIs, along with supporting mechanisms to empower intelligent and coordinated orchestration of edge-cloud continuum resources. The AIORA architecture facilitates a seamless creation, life-cycle management, and exposure of services in multi-segment heterogeneous environments. It integrates new breeds of tools and advanced technologies to enable zero-touch management of an edge-cloud continuum, building on top of the 3GPP Edge Enablement Layer and the respective connectivity models, allowing to cater to the high flexibility, availability, efficiency, reliability, and resilience needs of the future 6G services and applications. Several ongoing industry initiatives --such as ETSI MEC for edge computing platforms, the GSMA Operator Platform for multi-operator service federation, and CAMARA for cross-operator API standardization-- demonstrate the growing momentum towards integrated frameworks where edge, cloud, and network resources can be seamlessly orchestrated. Our proposed AIORA architecture not only aligns with these initiatives but also extends them by leveraging a multi-segment virtual continuum concept and nested AI-driven closed loops for real-time optimization.

Problem

• Designs an AI-native architecture for 6G edge-cloud orchestration
• Enables zero-touch management of multi-segment heterogeneous resources
• Integrates AI-driven loops for real-time optimization and service exposure

Innovation

• AI-native architecture using open APIs for 6G orchestration
• Zero-touch management of edge-cloud continuum with 3GPP integration
• Multi-segment virtual continuum with nested AI-driven closed loops