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Erschienen in:
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2018 | OriginalPaper | Buchkapitel

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

verfasst von : Fan Jiang, Cheng Li, Zijun Gong, Yan Zhang

Erschienen in: Wireless Internet

Verlag: Springer International Publishing

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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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Vorheriges Kapitel Optimal Smart Prepayment for Mobile Access Service via Stackelberg Game
Nächstes Kapitel An Efficient Joint Tx-Rx Beam Search Scheme in mmWave Massive MIMO Systems (Invited Paper)
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Metadaten
Titel
Massive MIMO for Future Vehicular Networks: Compressed-Sensing and Low-Complexity Detection Schemes (Invited Paper)
verfasst von
Fan Jiang
Cheng Li
Zijun Gong
Yan Zhang
Copyright-Jahr
2018
Buch
Wireless Internet

Print ISBN: 978-3-319-90801-4

Electronic ISBN: 978-3-319-90802-1

Copyright-Jahr: 2018

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