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Intelligent and Converged Networks 2020, 1(2): 142-169 https://doi.org/10.23919/ICN.2020.0009
Open Access | Issue | Published: 01 December 2020

Space-air-ground integrated vehicular network for connected and automated vehicles: Challenges and solutions

Show Author's Information Zhisheng Niu*( ),  Xuemin S. Shen,  Qinyu Zhang,  Yuliang Tang
Beijing National Research Center for Information Science and Technology, Department of Electronic Engineering, Tsinghua University, Beijing 100084, China
Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, N2L 3G1, Canada
School of Electronic and Information Engineering, Harbin Institute of Technology, Shenzhen 518055, China
Department of Information and Communication Engineering, Xiamen University, Xiamen 361005, China
Keywords:
space information network, vehicular network, space-air-ground integrated network, autonomous driving, context information, Internet-of-Vehicles
Cite this article:
Niu Z, Shen XS, Zhang Q, et al. Space-air-ground integrated vehicular network for connected and automated vehicles: Challenges and solutions. Intelligent and Converged Networks, 2020, 1(2): 142-169. https://doi.org/10.23919/ICN.2020.0009
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Abstract Full text About this article

Unlimited and seamless coverage as well as ultra-reliable and low-latency communications are vital for connected vehicles, in particular for new use cases like autonomous driving and vehicle platooning. In this paper, we propose a novel Space-Air-Ground integrated vehicular network (SAGiven) architecture to gracefully integrate the multi-dimensional and multi-scale context-information and network resources from satellites, High-Altitude Platform stations (HAPs), low-altitude Unmanned Aerial Vehicles (UAVs), and terrestrial cellular communication systems. One of the key features of the SAGiven is the reconfigurability of heterogeneous network functions as well as network resources. We first give a comprehensive review of the key challenges of this new architecture and then provide some up-to-date solutions on those challenges. Specifically, the solutions will cover the following topics: (1) space-air-ground integrated network reconfiguration under dynamic space resources constraints; (2) multi-dimensional sensing and efficient integration of multi-dimensional context information; (3) real-time, reliable, and secure communications among vehicles and between vehicles and the SAGiven platform; and (4) a holistic integration and demonstration of the SAGiven. Finally, it is concluded that the SAGiven can play a key role in future autonomous driving and Internet-of-Vehicles applications.


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About this article

Space-air-ground integrated vehicular network for connected and automated vehicles: Challenges and solutions

Show Author's information Zhisheng Niu*( ), Xuemin S. Shen, Qinyu Zhang, Yuliang Tang
Beijing National Research Center for Information Science and Technology, Department of Electronic Engineering, Tsinghua University, Beijing 100084, China
Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, N2L 3G1, Canada
School of Electronic and Information Engineering, Harbin Institute of Technology, Shenzhen 518055, China
Department of Information and Communication Engineering, Xiamen University, Xiamen 361005, China

Abstract

Unlimited and seamless coverage as well as ultra-reliable and low-latency communications are vital for connected vehicles, in particular for new use cases like autonomous driving and vehicle platooning. In this paper, we propose a novel Space-Air-Ground integrated vehicular network (SAGiven) architecture to gracefully integrate the multi-dimensional and multi-scale context-information and network resources from satellites, High-Altitude Platform stations (HAPs), low-altitude Unmanned Aerial Vehicles (UAVs), and terrestrial cellular communication systems. One of the key features of the SAGiven is the reconfigurability of heterogeneous network functions as well as network resources. We first give a comprehensive review of the key challenges of this new architecture and then provide some up-to-date solutions on those challenges. Specifically, the solutions will cover the following topics: (1) space-air-ground integrated network reconfiguration under dynamic space resources constraints; (2) multi-dimensional sensing and efficient integration of multi-dimensional context information; (3) real-time, reliable, and secure communications among vehicles and between vehicles and the SAGiven platform; and (4) a holistic integration and demonstration of the SAGiven. Finally, it is concluded that the SAGiven can play a key role in future autonomous driving and Internet-of-Vehicles applications.

Keywords: space information network, vehicular network, space-air-ground integrated network, autonomous driving, context information, Internet-of-Vehicles

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Publication history
Copyright
Acknowledgements
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Publication history

Received: 14 May 2020
Revised: 01 August 2020
Accepted: 07 September 2020
Published: 01 December 2020
Issue date: September 2020

Copyright

© All articles included in the journal are copyrighted to the ITU and TUP 2020

Acknowledgements

This work was supported by the National Natural Science Foundation of China (No. 91638204).

Rights and permissions

© All articles included in the journal are copyrighted to the ITU and TUP. This work is available under the CC BY-NC-ND 3.0 IGO license: https://creativecommons.org/licenses/by-nc-nd/3.0/igo/.

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