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

doi:10.1109/TKDE.2020.2967670

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

^*Corresponding author for this work

School of Computer Science and Technology

Research output: Contribution to journal › Article › peer-review

57 Citations (Scopus)

Abstract

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.

Original language	English
Article number	8961984
Pages (from-to)	1179-1198
Number of pages	20
Journal	IEEE Transactions on Knowledge and Data Engineering
Volume	32
Issue number	6
DOIs	https://doi.org/10.1109/TKDE.2020.2967670
Publication status	Published - 1 Jun 2020

Keywords

5G mobile communication
Data privacy
Database systems
Edge computing
Federated learning
Internet of Things
Network slicing
Security management

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/TKDE.2020.2967670

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abstract = "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.",

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

Abstract

Keywords

UN SDGs

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