EAGER: CDRIVE: Cognitive Radio Enabled Spectrum Aware Intelligent Vehicular Networks

在车辆和移动网络中，传输高带宽内容是一个挑战，因为这些网络受到未授权频段频谱稀缺、连接时间短以及蜂窝数据计划成本的限制。这些观察结果促使使用频率灵活的认知无线电，作为CDRIVE（认知无线电频谱感知智能车辆网络）项目的一部分。CDRIVE涉及到理论分析工具的使用和相关函数的探索。主要贡献在于创建了一种新的基于ns-2的仿真工具，该工具将车辆环境中的认知无线电中的频谱相关功能结合在一起。CDRIVE在以下方面取得了进展：为车辆认知无线电网络开发一个整体框架，用于分配具有频谱数据库访问能力的路边基站位置；加强在不同地形条件、周围城市结构和速度下收集频谱测量的科学；设计一种新的速率控制机制，预测网络和相关道路拥堵，以及频谱中断导致的间歇性中断。CDRIVE将对认知无线电与频谱数据库的整合产生深刻见解，特别是针对目前由FCC授权的移动网络。为最佳的移动感知频谱传感策略提供理论和实践验证，并将外部环境与传感方法紧密耦合。它还将塑造未来车辆中与安全相关的信息，支持实时遥测分析，并为应急响应人员提供高带宽通信。

Transferring high bandwidth content is a challenge in vehicular and mobile networks that are limited by spectrum scarcity in the unlicensed bands, short connection times, and the cost of cellular data plans. These observations motivate the use of frequency agile cognitive radios as part of the project called CDRIVE (for Cognitive raDio enabled spectRum-aware Intelligent Vehicular nEtworks). CDRIVE involves the use of theoretical analysis tools and exploration of correlation functions. A major contribution lies in creating a new ns-2 based simulation tool that combines spectrum-related functions in a cognitive radio within a vehicular environment. CDRIVE makes advances towards developing a holistic framework for vehicular cognitive radios networks for allocating roadside base station locations that have spectrum database access capability, enhancing the science of collecting spectrum measurements under different topographical conditions, surrounding urban structures and speeds, and devising a new rate control mechanism that anticipates network and correlated road congestions, and intermittent disruptions due to spectrum outages. CDRIVE will yield insights on integrating cognitive radios with spectrum databases, especially for mobile networks, which are now mandated by the FCC. It will provide the theory and practical validation of the best mobility-aware spectrum-sensing strategies, and tightly couple the external environment with the sensing method. It will also shape future safety-related messaging in vehicles, support real-time telemetry analysis, and allow high-bandwidth communication for emergency response personnel.