High-Reliability and Low-Latency Wireless Communication for Internet of Things: Challenges, Fundamentals, and Enabling Technologies
As one of the key enabling technologies of emerging smart societies and industries (i.e., industry 4.0), the Internet of Things (IoT) has evolved significantly in both technologies and applications. It is estimated that more than 25 billion devices will be connected by wireless IoT networks by 2020....
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| Published in: | IEEE internet of things journal Vol. 6; no. 5; pp. 7946 - 7970 |
|---|---|
| Main Authors: | , , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Piscataway
IEEE
01.10.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects: | |
| ISSN: | 2327-4662, 2327-4662 |
| Online Access: | Get full text |
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| Abstract | As one of the key enabling technologies of emerging smart societies and industries (i.e., industry 4.0), the Internet of Things (IoT) has evolved significantly in both technologies and applications. It is estimated that more than 25 billion devices will be connected by wireless IoT networks by 2020. In addition to ubiquitous connectivity, many envisioned applications of IoT, such as industrial automation, vehicle-to-everything (V2X) networks, smart grids, and remote surgery, will have stringent transmission latency and reliability requirements, which may not be supported by existing systems. Thus, there is an urgent need for rethinking the entire communication protocol stack for wireless IoT networks. In this tutorial paper, we review the various application scenarios, fundamental performance limits, and potential technical solutions for high-reliability and low-latency (HRLL) wireless IoT networks. We discuss physical, MAC (medium access control), and network layers of wireless IoT networks, which all have significant impacts on latency and reliability. For the physical layer, we discuss the fundamental information-theoretic limits for HRLL communications, and then we also introduce a frame structure and preamble design for HRLL communications. Then practical channel codes with finite block length are reviewed. For the MAC layer, we first discuss optimized spectrum and power resource management schemes and then recently proposed grant-free schemes are discussed. For the network layer, we discuss the optimized network structure (traffic dispersion and network densification), the optimal traffic allocation schemes and network coding schemes to minimize latency. |
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| AbstractList | As one of the key enabling technologies of emerging smart societies and industries (i.e., industry 4.0), the Internet of Things (IoT) has evolved significantly in both technologies and applications. It is estimated that more than 25 billion devices will be connected by wireless IoT networks by 2020. In addition to ubiquitous connectivity, many envisioned applications of IoT, such as industrial automation, vehicle-to-everything (V2X) networks, smart grids, and remote surgery, will have stringent transmission latency and reliability requirements, which may not be supported by existing systems. Thus, there is an urgent need for rethinking the entire communication protocol stack for wireless IoT networks. In this tutorial paper, we review the various application scenarios, fundamental performance limits, and potential technical solutions for high-reliability and low-latency (HRLL) wireless IoT networks. We discuss physical, MAC (medium access control), and network layers of wireless IoT networks, which all have significant impacts on latency and reliability. For the physical layer, we discuss the fundamental information-theoretic limits for HRLL communications, and then we also introduce a frame structure and preamble design for HRLL communications. Then practical channel codes with finite block length are reviewed. For the MAC layer, we first discuss optimized spectrum and power resource management schemes and then recently proposed grant-free schemes are discussed. For the network layer, we discuss the optimized network structure (traffic dispersion and network densification), the optimal traffic allocation schemes and network coding schemes to minimize latency. As one of the key enabling technologies of emerging smart societies and industries (i.e., industry 4.0), the Internet of Things (IoT) has evolved significantly in both technologies and applications. It is estimated that more than 25 billion devices will be connected by wireless IoT networks by 2020. In addition to ubiquitous connectivity, many envisioned applications of IoT, such as industrial automation, vehicle-to-everything (V2X) networks, smart grids, and remote surgery, will have stringent transmission latency and reliability requirements, which may not be supported by existing systems. Thus, there is an urgent need for rethinking the entire communication protocol stack for wireless IoT networks. In this tutorial paper, we review the various application scenarios, fundamental performance limits, and potential technical solutions for high-reliability and lowlatency (HRLL) wireless IoT networks. We discuss physical, MAC (medium access control), and network layers of wireless IoT networks, which all have significant impacts on latency and reliability. For the physical layer, we discuss the fundamental information-theoretic limits for HRLL communications, and then we also introduce a frame structure and preamble design for HRLL communications. Then practical channel codes with finite block length are reviewed. For the MAC layer, we first discuss optimized spectrum and power resource management schemes and then recently proposed grant-free schemes are discussed. For the network layer, we discuss the optimized network structure (traffic dispersion and network densification), the optimal traffic allocation schemes and network coding schemes to minimize latency. |
| Author | Ma, Zheng Xiao, Ming Poor, H. Vincent Pang, Zhibo Xiao, Yue Vucetic, Branka |
| Author_xml | – sequence: 1 givenname: Zheng surname: Ma fullname: Ma, Zheng email: zma@swjtu.cn organization: Communications and Sensor Networks for Modern Transportation, International Cooperation Research Centre of China, Southwest Jiaotong University, Chengdu, China – sequence: 2 givenname: Ming orcidid: 0000-0002-5407-0835 surname: Xiao fullname: Xiao, Ming email: mingx@kth.se organization: Division of Information Science and Engineering, KTH Royal Institute of Technology, Stockholm, Sweden – sequence: 3 givenname: Yue orcidid: 0000-0002-2127-8947 surname: Xiao fullname: Xiao, Yue email: xiaoyue@uestc.edu.cn organization: National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, China – sequence: 4 givenname: Zhibo orcidid: 0000-0002-7474-4294 surname: Pang fullname: Pang, Zhibo email: pang.zhibo@se.abb.com organization: Automation Solutions, ABB Corporate Research, Västerås, Sweden – sequence: 5 givenname: H. Vincent orcidid: 0000-0002-2062-131X surname: Poor fullname: Poor, H. Vincent email: poor@princeton.edu organization: Department of Electrical Engineering, Princeton University, Princeton, NJ, USA – sequence: 6 givenname: Branka surname: Vucetic fullname: Vucetic, Branka email: branka.vucetic@sydney.edu.au organization: School of Electrical and Information Engineering, University of Sydney, Sydney, NSW, Australia |
| BackLink | https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-265854$$DView record from Swedish Publication Index (Kungliga Tekniska Högskolan) |
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| SubjectTerms | 5G mobile communication Access control Automation Densification Frame structures High-reliability and low-latency wireless communication Industrial applications Industry 4.0 Information theory Internet of Things Internet of Things (IoT) MAC layer network layer Network reliability physical layer Reliability Resource management Smart grid Wireless communication Wireless communications Wireless networks Wireless sensor networks |
| Title | High-Reliability and Low-Latency Wireless Communication for Internet of Things: Challenges, Fundamentals, and Enabling Technologies |
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