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首页> 外文期刊>Eurasip Journal on Wireless Communications and Networking >Cognitive radio for vehicular ad hoc networks (CR-VANETs): approaches and challenges
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Cognitive radio for vehicular ad hoc networks (CR-VANETs): approaches and challenges

机译:车载自组织网络(CR-VANET)的认知无线电:方法和挑战

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With growing interest in using cognitive radio (CR) technology in wireless communication systems for vehicles, it is envisioned that future vehicles will be CR-enabled. This paper discusses CR technologies for vehicular networks aimed at improving vehicular communication efficiency. CR for vehicular networks has the potential of becoming a killer CR application in the future due to a huge consumer market for vehicular communications. This paper surveys novel approaches and discusses research challenges related to the use of cognitive radio technology in vehicular ad hoc networks. We review how CR technologies such as dynamic spectrum access, adaptive software-defined radios, and cooperative communications will enhance vehicular communications and, hence, present the potential of transforming vehicle communication in terms of efficiency and safety. Our work is different from existing works in that we provide recent advances and open research directions on applying cognitive radio in vehicular ad hoc networks (CR-VANETs) focusing on architecture, machine learning, cooperation, reprogrammability, and spectrum management as well as QoE optimization for infotainment applications. A taxonomy of recent advances in cognitive radio for vehicular networks is also provided. In addition, several challenges and requirements have been identified. The research on applying CR in vehicular networks is still in its early stage, and there are not many experimental platforms due to their complex setup and requirements. Some related testbeds and research projects are provided at the end.
机译:随着在用于车辆的无线通信系统中使用认知无线电(CR)技术的兴趣日益浓厚,可以预见未来的车辆将启用CR。本文讨论了用于车辆网络的CR技术,旨在提高车辆通信效率。由于巨大的车载通信消费市场,用于车载网络的CR将来有可能成为杀手级CR应用程序。本文调查了新颖的方法,并讨论了与在车辆自组织网络中使用认知无线电技术有关的研究挑战。我们将回顾诸如动态频谱访问,自适应软件定义的无线电和协作通信之类的CR技术如何增强车辆通信,从而从效率和安全性方面展现改变车辆通信的潜力。我们的工作与现有工作的不同之处在于,我们提供了有关认知无线电在车载自组织网络(CR-VANET)中的应用的最新进展和开放的研究方向,重点关注架构,机器学习,合作,可重编程性和频谱管理以及QoE优化用于信息娱乐应用。还提供了用于车辆网络的认知无线电的最新进展的分类法。此外,已经确定了一些挑战和要求。在车辆网络中应用CR的研究仍处于早期阶段,并且由于其复杂的设置和要求而没有太多的实验平台。最后提供了一些相关的测试平台和研究项目。

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