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Comprehensive Survey on Machine Learning in Vehicular Network: Technology, Applications and Challenges

机译:车辆网络机器学习综合调查:技术,应用和挑战

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摘要

Towards future intelligent vehicular network, the machine learning as the promising artificial intelligence tool is widely researched to intelligentize communication and networking functions. In this paper, we provide a comprehensive survey on various machine learning techniques applied to both communication and network parts in vehicular network. To benefit reading, we first give a preliminary on communication technologies and machine learning technologies in vehicular network. Then, we detailedly describe the challenges of conventional techniques in vehicular network and corresponding machine learning based solutions. Finally, we present several open issues and emphasize potential directions that are worthy of research for the future intelligent vehicular network.
机译:对于未来的智能车辆网络,机器学习作为有前途的人工智能工具被广泛研究以智能化通信和网络功能。 在本文中,我们对应用于车辆网络中的通信和网络部件的各种机器学习技术提供了全面的调查。 为了惠益于阅读,我们首先在车辆网络中初步初步促进通信技术和机器学习技术。 然后,我们详细描述了传统技术在车辆网络和基于机器学习的解决方案中的常规技术的挑战。 最后,我们提出了几个开放问题,并强调了值得对未来智能车辆网络研究的潜在方向。

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