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| Main Authors: | , , , , , , , , |
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| Format: | Preprint |
| Published: |
2026
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2603.12653 |
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| _version_ | 1866917338096336896 |
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| author | Kang, Liuwang Wang, Fan Huang, Yuzhang Yan, Shang Zheng, Jianbin Lei, Wenbin Yakovlev, Konstantin Tang, Jie Liu, Shaoshan |
| author_facet | Kang, Liuwang Wang, Fan Huang, Yuzhang Yan, Shang Zheng, Jianbin Lei, Wenbin Yakovlev, Konstantin Tang, Jie Liu, Shaoshan |
| contents | Mission-critical healthcare applications including real-time intensive care monitoring, ambulance-to-hospital orchestration, and distributed medical imaging inference require workflow-level, time-bounded coordination across heterogeneous devices, edge servers, and network control entities. While current 3GPP and O-RAN standards excel at per-device control and quality-of-service enforcement, they do not natively expose abstractions for workflow-level coordination under strict clinical timing constraints, leaving this capability to fragile, application-specific overlays. This article outlines the Collective Adaptive Intelligence Plane (CAIP) as a standards-aligned coordination framework that addresses this abstraction gap without introducing new protocol layers. CAIP is realized through minimal, backward-compatible coordination profiles anchored to existing RRC, QoS/SDAP, and O-RAN E2 interfaces, enabling workflow-scoped coordination context binding, deadline-aware coordination pacing, semantic flow association, and privacy-preserving data locality across distributed clinical entities. We analyze the structural limitations of existing standards, present a concrete interface mapping to 3GPP and O-RAN mechanisms, illustrate deployment through a representative ICU coordination scenario, and outline a phased standardization roadmap from proof-of-concept xApp deployment to AI-native 6G specification evolution. The proposed framework is incrementally deployable on current 5G Advanced infrastructure and provides a principled migration path toward workflow-level coordination abstraction as a first-class capability in future 6G healthcare networks. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_12653 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | A Standards-Aligned Coordination Framework for Edge-Enhanced Collaborative Healthcare in 6G Networks Kang, Liuwang Wang, Fan Huang, Yuzhang Yan, Shang Zheng, Jianbin Lei, Wenbin Yakovlev, Konstantin Tang, Jie Liu, Shaoshan Networking and Internet Architecture Mission-critical healthcare applications including real-time intensive care monitoring, ambulance-to-hospital orchestration, and distributed medical imaging inference require workflow-level, time-bounded coordination across heterogeneous devices, edge servers, and network control entities. While current 3GPP and O-RAN standards excel at per-device control and quality-of-service enforcement, they do not natively expose abstractions for workflow-level coordination under strict clinical timing constraints, leaving this capability to fragile, application-specific overlays. This article outlines the Collective Adaptive Intelligence Plane (CAIP) as a standards-aligned coordination framework that addresses this abstraction gap without introducing new protocol layers. CAIP is realized through minimal, backward-compatible coordination profiles anchored to existing RRC, QoS/SDAP, and O-RAN E2 interfaces, enabling workflow-scoped coordination context binding, deadline-aware coordination pacing, semantic flow association, and privacy-preserving data locality across distributed clinical entities. We analyze the structural limitations of existing standards, present a concrete interface mapping to 3GPP and O-RAN mechanisms, illustrate deployment through a representative ICU coordination scenario, and outline a phased standardization roadmap from proof-of-concept xApp deployment to AI-native 6G specification evolution. The proposed framework is incrementally deployable on current 5G Advanced infrastructure and provides a principled migration path toward workflow-level coordination abstraction as a first-class capability in future 6G healthcare networks. |
| title | A Standards-Aligned Coordination Framework for Edge-Enhanced Collaborative Healthcare in 6G Networks |
| topic | Networking and Internet Architecture |
| url | https://arxiv.org/abs/2603.12653 |