Big Data Analytics in Mobile Networking: Advancements, Challenges and Future Directions

Big data analytics (BDA) has emerged as a critical technology for enhancing mobile networks, enabling more efficient data management, improved decision-making and better network optimization.With the exponential growth of mobile data traffic and the proliferation of connected devices, mobile networks are facing unprecedented challenges in terms of scalability, traffic management, and quality of service (QoS).Big data analytics can leverage the vast amount of real-time data generated by mobile devices to derive actionable insights, optimize network resources, and provide personalized services.This paper reviews the latest advancements in big data analytics applied to mobile networking, focusing on its applications in network traffic prediction, anomaly detection, resource optimization, and user behavior analysis.We also discuss the key challenges, such as privacy concerns, data security, and the integration of BDA with emerging technologies like 5G and IoT.Finally, we identify the future research directions and the potential of BDA to transform mobile networking in the era of next-generation wireless technologies.