  The wide proliferation of various wireless communication systems and wireless
devices has led to the arrival of big data era in large scale wireless
networks. Big data of large scale wireless networks has the key features of
wide variety, high volume, real-time velocity and huge value leading to the
unique research challenges that are different from existing computing systems.
In this paper, we present a survey of the state-of-art big data analytics (BDA)
approaches for large scale wireless networks. In particular, we categorize the
life cycle of BDA into four consecutive stages: Data Acquisition, Data
Preprocessing, Data Storage and Data Analytics. We then present a detailed
survey of the technical solutions to the challenges in BDA for large scale
wireless networks according to each stage in the life cycle of BDA. Moreover,
we discuss the open research issues and outline the future directions in this
promising area.
