Towards Network Data Analytics in 5G Systems and Beyond

TL;DR

This paper reviews the role of data analytics in 5G networks, highlighting the NWDAF framework, analyzing research trends, and proposing new use cases to enhance adoption and monetization.

Contribution

It provides a comprehensive analysis of existing research on 5G data analytics and introduces two novel use cases to advance NWDAF adoption and monetization strategies.

Findings

Limited research focus on diverse methods and use cases

Identification of research gaps in NWDAF applications

Proposal of two new use cases for NWDAF adoption

Abstract

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.