Big Data Analytics for Large Scale Wireless Networks: Challenges and Opportunities
It addresses the problem of managing and analyzing big data in wireless networks for researchers and practitioners, but it is a survey paper, so it is incremental in nature.
This paper surveys big data analytics approaches for large-scale wireless networks, categorizing the lifecycle into four stages and discussing technical solutions, challenges, and future directions.
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.