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Inventi Impact - Wireless Communications & Networking

Articles

  • Inventi:ewcn/65/14
    COGNITIVE RADIO FOR VEHICULAR AD HOC NETWORKS (CR-VANETS): APPROACHES AND CHALLENGES
    Kamal Deep Singh, Priyanka Rawat, Jean-Marie Bonnin

    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 spectrummanagement 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.

    How to Cite this Article
    CC Compliant Citation: Singh et al.: Cognitive radio for vehicular ad hoc networks (CR-VANETs): approaches and challenges. EURASIP Journal on Wireless Communications and Networking 2014 2014:49, doi:10.1186/1687-1499-2014-49. © 2014 Singh et al.; licensee Springer. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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