Towards Network Data Analytics in 5G Systems and Beyond
It addresses the underutilization of data by Mobile Network Operators to move beyond connectivity commoditization, though it is incremental in proposing new use cases rather than methods.
This study analyzed over 70 articles to identify trends and gaps in network data analytics for 5G systems, proposing two novel use cases to promote the adoption of the Network Data Analytics Function (NWDAF) and explore its monetization potential.
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.