Scholarlink

<p>With the transition from 4G to 5G, a large number of user equipments (UEs) engaged in message exchanges and traffic transmission are concentrated in the core network. This concentration increasingly strains the components of the 5&#xa0;G core (5GC) network, leading to network congestion and poor performance. Some researchers have deployed 5&#xa0;G core network components near the edge of the network (close to the base station) to spread the core network’s load, resulting in shorter transmission distances and lower latency. However, when a UE moves between two edge networks, it faces inter-edge handovers to change the serving edge components. These handovers involve many message exchanges between components to re-establish the connection, thereby affecting the UE experience. Our previous study used the GUROBI optimization tool to derive an optimized refactoring of the 5&#xa0;G core network, called GUR-5GC. This paper integrates edge computing into the optimization of the 5&#xa0;G Core Network (5GC) by investigating which architectural entities are suitable for edge deployment. After determining the deployment locations of the GUR-5GC entities, we refer to the new deployment architecture as Edge-based GUR-5GC (abbreviated E-GUR-5GC). In addition, we designed a new set of handover procedures to address user equipment (UEs) moving between edge networks, which involves replacing the session anchor (UPF) and maintaining session continuity. The E-GUR-5GC performs quite well, especially for users who frequently move between edge networks.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Edge Deployment of Optimized 5G Core Network for Efficient Inter-edge Handovers

  • 期刊论文

  • 发表日期：

    2026年2月12日

查看全文
  • Wei-Kuo Chiang,
  • Bo-Chuan Chen

摘要

With the transition from 4G to 5G, a large number of user equipments (UEs) engaged in message exchanges and traffic transmission are concentrated in the core network. This concentration increasingly strains the components of the 5 G core (5GC) network, leading to network congestion and poor performance. Some researchers have deployed 5 G core network components near the edge of the network (close to the base station) to spread the core network’s load, resulting in shorter transmission distances and lower latency. However, when a UE moves between two edge networks, it faces inter-edge handovers to change the serving edge components. These handovers involve many message exchanges between components to re-establish the connection, thereby affecting the UE experience. Our previous study used the GUROBI optimization tool to derive an optimized refactoring of the 5 G core network, called GUR-5GC. This paper integrates edge computing into the optimization of the 5 G Core Network (5GC) by investigating which architectural entities are suitable for edge deployment. After determining the deployment locations of the GUR-5GC entities, we refer to the new deployment architecture as Edge-based GUR-5GC (abbreviated E-GUR-5GC). In addition, we designed a new set of handover procedures to address user equipment (UEs) moving between edge networks, which involves replacing the session anchor (UPF) and maintaining session continuity. The E-GUR-5GC performs quite well, especially for users who frequently move between edge networks.