Publication
Introducing an AAS-Based Architecture for Managing 5G Systems and Beyond
Mike Reichardt; Daniel Buch; Hans Dieter Schotten
In: 31st IEEE International Conference on Emerging Technologies and Factory Automation. IEEE International Conference on Emerging Technologies and Factory Automation (ETFA-2026), 31st IEEE International Conference on Emerging Technologies and Factory Automation, September 8-11, Västerås, Sweden, IEEE, 2026.
Abstract
The Asset Administration Shell (AAS) provides a standardized and interoperable framework for managing industrial assets, yet its application to wireless network infrastructure
remains largely unexplored. This paper presents a closed-loop network management architecture that integrates the AAS with a 5G standalone testbed to enable automated, context-aware cell
gain reconfiguration for industrial deployments. The proposed architecture interconnects an Amarisoft-based 5G system with
a factory cloud platform via bidirectional WebSocket and REST APIs, with Eclipse BaSyx AAS instances serving as the central information layer between physical asset state and network control
decisions. A Gain Observer module continuously monitors AAS-hosted UE and network state to autonomously adjust per- cell transmission gain in response to AGV safety zone events.
The system is evaluated over 39,961 AGV safety zone entry and exit cycles, yielding a mean end-to-end reconfiguration latency of 245.25 ms and a 90th-percentile value of approximately 305 ms.
Results confirm functional correctness of the closed-loop behavior and identify the polling-based pipeline as the dominant latency contributor, accounting for approximately 98% of total latency.
The presented architecture demonstrates that AAS-based network management is feasible on cost-efficient industrial edge hardware and provides a scalable foundation for managing heterogeneous
5G and Beyond systems.