Nowadays detonation of holding vehicle has wrought overcrowded traffic. The US Federal Communication Commission officially allocated nearly 75 MHz spectrum in 5.8 GHz band to support vehicular communication and many studies found this band incapable to handle the demand for future data traffic. The application of Cognitive Radio (CR) technology will be utilized to make the Internet of Vehicles (IoV) environment in order to increase the spectrum resource opportunities available for vehicular communication. In the CR networks environment, each network supporting multiple attributes likes mobility, Quality of Service, data rates and bandwidth. Therefore, new challenges including link failures, network volatility, group mobility and decision making for the fair selection of optimal networks' resource in vehicular CR networks have become the focus of the global concern. Contrarily, future applications require the vehicular CR networks to support safety and non-safety applications and services. The contribution of this article is two folds. First, the group mobility feature of vehicular communication is considered in this work and two techniques (GRA based Vehicular CR node Assisted Networks' resource Selection (VANS) and Network Assisted Networks' resource Selection (NANS)) for vehicular CR networks are proposed. Second, a testbed using coded scripting programme and LabVIEW communications system design suite software to universal software radio peripheral (USRP-2954) is considered to analyze the practical realization issues in vehicular CR networks. Furthermore, the performance of the proposed techniques is analyzed and validated through experimental testbed and compared with the conventional decision-making techniques. Results show that the proposed techniques have outperformed traditional techniques.

如今，手持式车辆的起爆使交通拥挤。美国联邦通信委员会正式分配了5.8 GHz频带中的近75 MHz频谱来支持车辆通信，许多研究发现该频带无法满足未来数据流量的需求。认知无线电（CR）技术的应用将用于制造车联网（IoV）环境，以增加可用于车辆通信的频谱资源机会。在CR网络环境中，每个网络都支持多种属性，例如移动性，服务质量，数据速率和带宽。因此，新的挑战包括链路故障，网络易变性，组移动性和公平选择最佳网络的决策。车辆CR网络中的资源已成为全球关注的焦点。相反，未来的应用需要车载CR网络来支持安全和非安全应用和服务。本文的贡献有两个方面。首先，在这项工作中考虑了车辆通信的群体移动性特征，并提出了两种技术（用于车辆CR网络的基于GRA的车辆CR节点辅助网络的资源选择（VANS）和网络辅助网络的资源选择（NANS））。其次，考虑了使用编码脚本程序和LabVIEW通信系统设计套件软件对通用软件无线电外围设备（USRP-2954）进行测试的试验台，以分析车载CR网络中的实际实现问题。此外，通过实验测试平台分析和验证了所提出技术的性能，并与常规决策技术进行了比较。结果表明，所提出的技术优于传统技术。