认知协同车联网中交通安全业务QoS保障传输机制的研究

Vehicle safety has received increasing attention; This project intends to study the QoS guarantee mechanism of security services combining cooperative communication technology and cognitive radio technology, referring to the thought of Channel reservation, load balancing theory, spectrum sharing strategy, spectrum aggregation scheme and broadcast routing algorithm. We will make further research on link reliable transmission technology, reliable transport mechanism over Mobile-to-Mobile wireless environment and the application architecture of the intelligent transportation system. We will focus on the cooperative transmission model and the transmission strategy against the fading channel; redundant channel reservation strategy to enhance link lifetime; startup mechanism of cognitive function in the lack of spectrum resources; adaptive resource allocation algorithm for cognitive spectrum and licensed spectrum; adaptive MAC protocol design including scheduling strategy with high reliability and real-time; channel access technology with real and fairness; spectrum sharing policy within the district and intercell; Multi-hop broadcasting routing technology in high-density environment; Ultimately, application architecture for QoS guaranteed with efficient and reliable transmission technology is proposed by cross layer optimization design among the physical layer, MAC layer and routing layer, which services for intelligent navigation and security traffic.

车辆行驶安全问题日益受到重视，本申请项目拟结合协同通信和认知无线电技术，研究车联网中交通安全业务的QoS保障传输机制，引入资源预留思想、负载均衡理论，频谱共享策略、频谱聚合技术和广播路由算法，主要研究Mobile-to-Mobile无线环境下链路的可靠持续传输技术；交通安全业务的实时可靠传输机制及其在智能交通中的应用架构：重点研究对抗信道衰落的协同传输模型以及传输策略；增强链路持续时间的备份信道预留策略；频谱资源不足时的认知功能的启动机制；联合认知频谱与授权频谱的自适应分配算法；研究包括高可靠性高实时性调度策略的自适应MAC协议设计；研究实时、公平的信道接入技术；研究小区内以及小区间的频谱共享策略；研究高密度环境下多跳广播路由技术；最终通过研究物理层、MAC层、路由层的联合与优化，提出具有QoS保障的交通安全业务的高效可靠传输技术的应用架构，为智能导航、安全行车服务。

车联网是智能交通系统的基础信息承载平台。为了减少交通事故、改善交通及驾驶环境，课题主要研究认知协同车联网架构及服务于交通安全业务QoS保障传输的车联网关键技术。主要研究成果包括：具有链路维护功能的MAC协议，基于QoS保障的频谱分配与共享机制，可靠广播路由算法，路况估计算法，综合加权多跳广播路由算法和车联网传输容量分析等。针对传输容量这一关键科学问题，课题组研究了线型车联网和认知车联网的传输容量。据课题组的调研，这一研究填补了认知车联网传输容量研究领域的空白，为车联网的进一步深入研究做出了一定的理论贡献。在课题的资助下，已提交国家发明专利申请5项，授权3项；在国内外发表学术论文30篇（其中SCI，EI分别已检索5篇和19篇）；完成硕士学位论文15篇。基于这些研究成果，课题组基于FPGA搭建了符合IEEE 802.11p标准的车辆实时视频通信软硬件仿真平台。本课题的研究成果将为交通安全等相关实际问题的解决和智能交通的实现提供理论与技术支撑。