Scholarlink

In 5G network, the quality of service (QoS) experienced by UEs is intimately tied to the signal quality at their respective locations. For a more comprehensive awareness of network coverage, it is imperative for network operators to acquire coverage performance together with UEs’ location information. However, some 5G terminals are functionally limited and thus incapable of reporting location information to radio network, resulting in blind spots in network coverage evaluation. This paper proposes an algorithm for obtaining UE location information (latitude and longitude) by correlating core network UE identifiers with their radio UE identifiers. Addressing the issue of unavailable UE location information from radio network, this research facilitates precise operational optimization within 5G networks.

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

Cross-Domain Association and Backfilling Algorithm for Location Information

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Guanglei Cong,
  • Qing Zhang,
  • Lexi Xu,
  • Yu Zhao,
  • Kang Cao,
  • Tianhang Gao,
  • Xuecong Zhao,
  • Shuhan Wang

摘要

In 5G network, the quality of service (QoS) experienced by UEs is intimately tied to the signal quality at their respective locations. For a more comprehensive awareness of network coverage, it is imperative for network operators to acquire coverage performance together with UEs’ location information. However, some 5G terminals are functionally limited and thus incapable of reporting location information to radio network, resulting in blind spots in network coverage evaluation. This paper proposes an algorithm for obtaining UE location information (latitude and longitude) by correlating core network UE identifiers with their radio UE identifiers. Addressing the issue of unavailable UE location information from radio network, this research facilitates precise operational optimization within 5G networks.