arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1909.08069cs.NIcs.DCcs.LG

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

Macau University of Science and Technology(澳门科技大学);Hong Kong University of Science and Technology (HKUST)(香港科技大学);Norwegian University of Science & Technology(挪威科技大学);Sun Yat-sen University(中山大学);Lulea University of Technology(吕勒奥理工大学)

Hong-Ning Dai, Raymond Chi-Wing Wong, Hao Wang, Zibin Zheng, Athanasios V. Vasilakos

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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