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Content distribution based on joint V2I and V2V scheduling in mmWave vehicular networks

Su, Lan; Niu, Yong; Han, Zhu; Ai, Bo; He, Ruisi; Wang, Yibing; Wang, Ning; Su, Xiang (2022-01-07)

 
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https://doi.org/10.1109/tvt.2022.3141415

Su, Lan
Niu, Yong
Han, Zhu
Ai, Bo
He, Ruisi
Wang, Yibing
Wang, Ning
Su, Xiang
Institute of Electrical and Electronics Engineers
07.01.2022

L. Su et al., "Content Distribution Based on Joint V2I and V2V Scheduling in mmWave Vehicular Networks," in IEEE Transactions on Vehicular Technology, vol. 71, no. 3, pp. 3201-3213, March 2022, doi: 10.1109/TVT.2022.3141415

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doi:https://doi.org/10.1109/tvt.2022.3141415
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Abstract

With the explosive growth of vehicle applications, vehicular networks based on millimeter wave (mmWave) bands have attracted interests from both academia and industry. mmWave communications are able to utilize the huge available bandwidth to provide multiple Gbps transmission rates among vehicles. In this paper, we address the content distribution scheduling problem in mmWave vehicular networks. It has been challenging for all vehicles in the same network to complete content downloading due to the limited communication resources of roadside units (RSUs) and the high mobility of vehicles. We propose a joint vehicle-to-infrastructure (V2I) and vehicle-to-vehicle (V2V) scheduling scheme to minimize the total number of content distribution time slots from a global optimization perspective. In the V2I phase, the RSU serially transmits integrity content to vehicles, which are selected according to the vehicular network topology and transmission scheduling scheme. In the V2V phase, full-duplex communications and concurrent transmissions are exploited to achieve content sharing between vehicles and improve transmission efficiency. Performance evaluations demonstrate that our proposed scheme reduces the number of time slots and significantly improves system throughput when compared with other schemes, especially under large-size file transfers and a large number of vehicles.

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