Abstract

The proliferation of various wireless communication technologies and devices has ushered in the big data era in large-scale wireless networks. Researchers face new challenges when working with big data from large-scale wireless networks compared to traditional computer systems. This is because big data has four essential characteristics: high value, real-time velocity, immense variety, and great volume. The goal of this article is to survey all the new stuff about big data analytics (BDA) methods for massive wireless networks. Data collecting, data preprocessing, data storage, and data analytics are the four distinct phases that make up the BDA life cycle. We next provide an exhaustive review of the technical solutions that have been created to address the difficulties associated with BDA for large-scale wireless networks, organised according to each stage of the BDA life cycle. We also explore the research questions that remain unanswered and provide an overview of the potential future possibilities in this exciting field.