挖掘5G网络数据价值，推动运营商从卖连接转向卖服务
Towards Network Data Analytics in 5G Systems and Beyond
- 分析70余篇文献，发现现有研究方法与场景受限
- 提出两个全新应用方向，助力NWDAF商业化落地
- 适合关注5G运营创新与数据变现的从业者
数据已成为数字经济的关键资产，但移动网络运营商（MNOs）尚未充分挖掘其价值，而流媒体等OTT平台已凭借数据实现高市场估值。为突破连接服务的同质化困境、提升客户价值，数据智能成为关键战略。高效利用数据可开辟新服务、优化运维效率并降低风险。自3GPP Release 15起，引入网络数据智能功能（NWDAF），通过采集移动网络数据，支持用户与网络双维度的应用场景。然而，当前学术研究多集中于有限的方法与用例，受制于数据集可用性，限制了探索深度。本研究分析了70余篇相关论文的趋势与空白，提出两个新颖的应用场景，旨在促进NWDAF的广泛应用，并探索其商业化潜力。
原文摘要 · Abstract (English)
Data has become a critical asset in the digital economy, yet it remains underutilized by Mobile Network Operators (MNOs), unlike Over-the-Top (OTT) players that lead global market valuations. To move beyond the commoditization of connectivity and deliver greater value to customers, data analytics emerges as a strategic enabler. Using data efficiently is essential for unlocking new service opportunities, optimizing operational efficiency, and mitigating operational and business risks. Since Release 15, the 3rd Generation Partnership Project (3GPP) has introduced the Network Data Analytics Function (NWDAF) to provide powerful insights and predictions using data collected across mobile networks, supporting both user-centric and network-oriented use cases. However, academic research has largely focused on a limited set of methods and use cases, driven by the availability of datasets, restricting broader exploration. This study analyzes trends and gaps in more than 70 articles and proposes two novel use cases to promote the adoption of NWDAF and explore its potential for monetization.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。