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Enabling Massive IoT Toward 6G: A Comprehensive Survey

IEEE Internet of Things Journal · 2021 · Vol. 8(15) · pp. 11891–11915
Fengxian GuoF. Richard YuHeli ZhangXi LiHong JiVictor C. M. Leung

Abstract

Nowadays, many disruptive Internet-of-Things (IoT) applications emerge, such as augmented/virtual reality online games, autonomous driving, and smart everything, which are massive in number, data intensive, computation intensive, and delay sensitive. Due to the mismatch between the fifth generation (5G) and the requirements of such massive IoT-enabled applications, there is a need for technological advancements and evolutions for wireless communications and networking toward the sixth-generation (6G) networks. 6G is expected to deliver extended 5G capabilities at a very high level, such as Tbps data rate, sub-ms latency, cm-level localization, and so on, which will play a significant role in supporting massive IoT devices to operate seamlessly with highly diverse service requirements. Motivated by the aforementioned facts, in this article, we present a comprehensive survey on 6G-enabled massive IoT. First, we present the drivers and requirements by summarizing the emerging IoT-enabled applications and the corresponding requirements, along with the limitations of 5G. Second, visions of 6G are provided in terms of core technical requirements, use cases, and trends. Third, a new network architecture provided by 6G to enable massive IoT is introduced, i.e., space-air-ground-underwater/sea networks enhanced by edge computing. Fourth, some breakthrough technologies, such as machine learning and blockchain, in 6G are introduced, where the motivations, applications, and open issues of these technologies for massive IoT are summarized. Finally, a use case of fully autonomous driving is presented to show 6G supports massive IoT.

Advanced Wireless Communication TechnologiesIoT and Edge/Fog ComputingOptical Wireless Communication TechnologiesComputer scienceLow latency (capital markets)WirelessOpen researchArchitectureInternet of ThingsTelecommunicationsComputer networkComputer securityWorld Wide Web

Funding

  • National Natural Science Foundation of China
Citations
658
FWCI
48.99
field-weighted impact
References
154
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100%
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References
A Survey on Demand Response in Smart Grids: Mathematical Models and Approaches
IEEE Transactions on Industrial Informatics · 2015 · 906 citations
Brain–computer interfaces for communication and control
Clinical Neurophysiology · 2002 · 7,790 citations
Fault Detection in Wireless Sensor Networks Through SVM Classifier
IEEE Sensors Journal · 2017 · 314 citations
Blockchain for AI: Review and Open Research Challenges
IEEE Access · 2019 · 964 citations
Space/Aerial-Assisted Computing Offloading for IoT Applications: A Learning-Based Approach
IEEE Journal on Selected Areas in Communications · 2019 · 846 citations
Smart Contract-Based Access Control for the Internet of Things
IEEE Internet of Things Journal · 2018 · 758 citations
A Comprehensive Survey on Internet of Things (IoT) Toward 5G Wireless Systems
IEEE Internet of Things Journal · 2019 · 1,675 citations
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