DeepAI AI Chat
Log In Sign Up

Big Data Analytics for Large Scale Wireless Networks: Challenges and Opportunities

by   Hong-Ning Dai, et al.

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.


Big Data Analytics for Wireless and Wired Network Design: A Survey

Currently, the world is witnessing a mounting avalanche of data due to t...

Social Computing for Mobile Big Data in Wireless Networks

Mobile big data contains vast statistical features in various dimensions...

A Survey on Big Data for Network Traffic Monitoring and Analysis

Network Traffic Monitoring and Analysis (NTMA) represents a key componen...

Intelligent Perioperative System: Towards Real-time Big Data Analytics in Surgery Risk Assessment

Surgery risk assessment is an effective tool for physicians to manage th...

A Survey on Large-scale Machine Learning

Machine learning can provide deep insights into data, allowing machines ...

Applying the Delta method in metric analytics: A practical guide with novel ideas

During the last decade, the information technology industry has adopted ...

Data lake concept and systems: a survey

Although big data has been discussed for some years, it still has many r...