The demand for low latency and high privacy in 6G applications has driven the deployment of AMF closer to the edge, enabling distributed deployments to achieve faster local response, meet the privacy and security requirements of Non-Public Networks (NPN), and enhance network reliability. However, as AMF moves closer to the edge, the frequency of user context transfer between AMF instances significantly increases, leading to higher system overhead, slower response times, and challenges in maintaining data consistency. To address these challenges, this paper proposes a storage architecture based on distributed UDSF. Distributed UDSF distributes user context data across multiple nodes in the network, allowing AMF instances to access data sources nearby, effectively reducing cross-instance data transfer, lowering transmission latency, and ensuring user data security and privacy, thereby reducing latency and improving fault tolerance while achieving system stability and scalability .

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The Study of Distributed UDSF Architecture for AMF Edge Deployment in NPN

  • Lin Yuan,
  • Zhan Xu,
  • Zhigang Tian

摘要

The demand for low latency and high privacy in 6G applications has driven the deployment of AMF closer to the edge, enabling distributed deployments to achieve faster local response, meet the privacy and security requirements of Non-Public Networks (NPN), and enhance network reliability. However, as AMF moves closer to the edge, the frequency of user context transfer between AMF instances significantly increases, leading to higher system overhead, slower response times, and challenges in maintaining data consistency. To address these challenges, this paper proposes a storage architecture based on distributed UDSF. Distributed UDSF distributes user context data across multiple nodes in the network, allowing AMF instances to access data sources nearby, effectively reducing cross-instance data transfer, lowering transmission latency, and ensuring user data security and privacy, thereby reducing latency and improving fault tolerance while achieving system stability and scalability .