A Case for Enabling Delegation of 5G Core Decisions to the RAN

Under conventional 5G system design, the authentication and continuous monitoring of user equipment (UE) demands a reliable backhaul connection between the radio access network (RAN) and the core network functions (AMF, AUSF, UDM, etc…). This is not a given, especially in disaster response and military operations. We argue that, in such 5 G deployments, decisions made by core functions can be effectively delegated to the RAN by leveraging the RAN’s computing resources and the micro-service programmability of the ORAN system architecture. To make a case, this paper explores a conceptual design that uses xApps to replicate core decision logic and maintain a core decision cache to further reduce response time. We detail the network security and performance implications of the proposed design and assess the feasibility by examining how it can be implemented within an open-source ORAN codebase.

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Published
2025-06-18
DOI
https://doi.org/10.1109/ntms65597.2025.11076675
Primary Topic
Advanced MIMO Systems Optimization
Type
article
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article

A Case for Enabling Delegation of 5G Core Decisions to the RAN

Geoffrey G. Xie, Lucas Vancina
Advanced MIMO Systems Optimization
article

A Case for Enabling Delegation of 5G Core Decisions to the RAN

Geoffrey G. Xie, Lucas Vancina
article en

Abstract

Under conventional 5G system design, the authentication and continuous monitoring of user equipment (UE) demands a reliable backhaul connection between the radio access network (RAN) and the core network functions (AMF, AUSF, UDM, etc…). This is not a given, especially in disaster response and military operations. We argue that, in such 5 G deployments, decisions made by core functions can be effectively delegated to the RAN by leveraging the RAN’s computing resources and the micro-service programmability of the ORAN system architecture. To make a case, this paper explores a conceptual design that uses xApps to replicate core decision logic and maintain a core decision cache to further reduce response time. We detail the network security and performance implications of the proposed design and assess the feasibility by examining how it can be implemented within an open-source ORAN codebase.

Naval Postgraduate School (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 82%
Advanced MIMO Systems Optimization
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