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Massive MIMO for Future Vehicular Networks: Compressed-Sensing and Low-Complexity Detection Schemes (Invited Paper)

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Wireless Internet (WiCON 2017)

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Abstract

The fast development of the fifth generation (5G) mobile communications system has brought a bright prospect of the next generation vehicular networks. Especially, a typical application in future vehicular networks is to deploy intelligent transportation systems (ITS), aiming to providing high level user experience on the move. To support the deployment of ITS, high rate communications and energy efficiency, low-latency transmission and low-complexity detection schemes are highly demanded. Massive multiple-input multiple-output (MIMO) has been seen as a promising candidate for the demand. The architecture that many vehicles access the roadside infrastructure is quite suitable for the employment of massive MIMO as large-scale antennas can be deployed at the roadside unit. However, the challenges along with massive MIMO is low complexity and efficient data detection schemes. In this paper, we provide an overview of low-complexity detection schemes in massive MIMO, and summarize the challenges and possible solutions.

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Authors and Affiliations

  1. Department of Electrical and Computer Engineering, Memorial University of Newfoundland, St. John’s, NL, A1B 3X5, Canada

    Fan Jiang, Cheng Li & Zijun Gong

  2. Tianjin Chengjian University, Tianjin, China

    Cheng Li & Yan Zhang

Authors
  1. Fan Jiang
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  2. Cheng Li
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  3. Zijun Gong
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  4. Yan Zhang
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Corresponding author

Correspondence to Cheng Li .

Editor information

Editors and Affiliations

  1. Electrical and Computer Engineering, Memorial University, St. John’s, Newfoundland and Labrador, Canada

    Cheng Li

  2. Electrical and Computer Engineering, Auburn University, Auburn, Alabama, USA

    Shiwen Mao

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Jiang, F., Li, C., Gong, Z., Zhang, Y. (2018). Massive MIMO for Future Vehicular Networks: Compressed-Sensing and Low-Complexity Detection Schemes (Invited Paper). In: Li, C., Mao, S. (eds) Wireless Internet. WiCON 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 230. Springer, Cham. https://doi.org/10.1007/978-3-319-90802-1_5

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  • DOI: https://doi.org/10.1007/978-3-319-90802-1_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-90801-4

  • Online ISBN: 978-3-319-90802-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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