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The Disruptions of 5G on Data-Driven Technologies and Applications

  • Dumitrel Loghin*
  • , Shaofeng Cai
  • , Gang Chen
  • , Tien Tuan Anh Dinh
  • , Feiyi Fan
  • , Qian Lin
  • , Janice Ng
  • , Beng Chin Ooi
  • , Xutao Sun
  • , Quang Trung Ta
  • , Wei Wang
  • , Xiaokui Xiao
  • , Yang Yang
  • , Meihui Zhang
  • , Zhonghua Zhang
  • *此作品的通讯作者
  • National University of Singapore
  • Zhejiang University
  • Singapore University of Technology and Design
  • University of California at Berkeley
  • University of Electronic Science and Technology of China

科研成果: 期刊稿件文章同行评审

摘要

With 5G on the verge of being adopted as the next mobile network, there is a need to analyze its impact on the landscape of computing and data management. In this paper, we analyze the impact of 5G on both traditional and emerging technologies and project our view on future research challenges and opportunities. With a predicted increase of 10-100x in bandwidth and 5-10x decrease in latency, 5G is expected to be the main enabler for smart cities, smart IoT and efficient healthcare, where machine learning is conducted at the edge. In this context, we investigate how 5G can help the development of federated learning. Network slicing, another key feature of 5G, allows running multiple isolated networks on the same physical infrastructure. However, security remains the main concern in the context of virtualization, multi-tenancy and high device density. Formal verification of 5G networks can be applied to detect security issues in massive virtualized environments. In summary, 5G will make the world even more densely and closely connected. What we have experienced in 4G connectivity will pale in comparison to the vast amounts of possibilities engendered by 5G.

源语言英语
文章编号8961984
页(从-至)1179-1198
页数20
期刊IEEE Transactions on Knowledge and Data Engineering
32
6
DOI
出版状态已出版 - 1 6月 2020

联合国可持续发展目标

此成果有助于实现下列可持续发展目标:

  1. 可持续发展目标 11 - 可持续城市和社区
    可持续发展目标 11 可持续城市和社区

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