Cost-Effective Vehicular Communication Networking

车辆通信网络被设想为支持用于道路安全、智能交通、车载互联网接入和位置相关服务的各种应用。 该范例得到了政府机构（特别是在分配无线电频谱方面）、学术界以及电信和汽车行业的大力支持。由于高用户移动性，具有间歇链路的高度动态网络拓扑不仅在网络操作和服务提供方面提出了重大的技术挑战，而且还潜在地为网络解决方案提供了实现性能优化的新机会。因此，需要进行大量的研发工作，以确保通过车辆到车辆和车辆到基础设施的多跳连接实现高效可靠的端到端信息传输。该研究计划的长期目标是开发创新的具有成本效益的无线网络解决方案，为车辆用户提供宽带互联网服务。未来五年的短期目标是研究车辆网络的基本问题，建立新的数学模型来捕获网络动态，并深入了解网络性能权衡。特别是，我们认为一个异构的网络模式，其中的无线网络基础设施包括蜂窝网络和路边的WiFi网络。我们专注于为车辆用户提供具有成本效益的下行链路互联网数据服务，以网络基础设施部署和运营的单位成本计算每个用户的吞吐量。（1）网络容量和服务延迟分析--通过建立网络容量、平均服务延迟与基础设施部署和运营成本之间的基本关系，为车辆用户访问互联网开发一个经济有效的网络架构;（2）合作的得来速访问-路段上的车辆形成线性集群，并且可以在连续得来速时通过WiFi接入点从互联网合作下载内容。我们会发展一个合作的WiFi免下车通信架构，以尽量增加传送给车辆使用者的数据量，当中会考虑到车辆交通密度的时间和空间动态、使用者流动的随机性和无线电传播信道;（3）随机WiFi卸载-我们将建立WiFi和蜂窝网络之间的互通框架，用于从蜂窝网络到WiFi网络的机会性数据流量卸载，同时满足服务质量要求。该框架将利用车辆高速行驶的优势来解决相邻WiFi接入点之间的服务覆盖差距，其研究成果将产生深远的科学、技术和社会影响，为开发具有成本效益的车联网算法和协议提供深入的理解和指导，并提供许多潜在的新的道路服务和应用。这项研究计划将培养大量高素质的人才，为受训人员提供无线网络方面的宝贵知识和研究经验，使他们能够成为加拿大高科技产业劳动力的专家补充。

Vehicular communication networks are envisioned to support various applications for road safety, smart transportation, in-vehicle Internet access, and location dependent services. The paradigm has received strong support from government agencies (especially in allocating radio spectrum), academia, and industry in both telecommunication and automotive sectors. The highly dynamic network topology with intermittent links, due to high user mobility, not only poses significant technical challenges in network operation and service provisioning, but also potentially offers new opportunities for networking solutions to achieve performance optimization. As a result, significant R&D efforts are required to ensure efficient and reliable end-to-end information delivery via both vehicle-to-vehicle and vehicle-to-infrastructure multi-hop connections. The long-term goal of this research program is to develop innovative cost-effective wireless networking solutions for delivering broadband Internet services to users in vehicles. The short-term objectives in the next five years are to study fundamental issues in vehicular networking, to establish new mathematical models to capture network dynamics, and to gain an in-depth understanding of network performance trade-offs. In particular, we consider a heterogeneous networking paradigm, where the wireless network infrastructure includes cellular networks and roadside WiFi networks. We focus on cost-effective downlink Internet data services to vehicle users, in terms of per-user throughput per unit cost for the network infrastructure deployment and operation. The research includes three thrusts: (1) Network capacity and service delay analysis - We will develop a cost-effective networking architecture for vehicle users to access the Internet, via establishing fundamental relations between network capacity, average service delay, and infrastructure deployment and operation cost; (2) Cooperative drive-thru access - Vehicles on a road segment form a linear cluster and can cooperatively download contents from the Internet via WiFi access points upon consecutive drive-thru. We will develop a cooperative WiFi drive-thru communication framework to maximize the data volume delivered to vehicle users, taking account of temporal and spatial dynamics in vehicle traffic density, randomness in user mobility and radio propagation channels; (3) Opportunistic WiFi offloading - We will establish an interworking framework between WiFi and cellular networks for opportunistic data traffic offloading from cellular networks to WiFi networks, while satisfying service quality requirements. The framework should take advantage of vehicle high speed in coping with the service coverage gaps between neighboring WiFi access points.The research outcomes are expected to have a profound scientific, technological, and social impact, in providing in-depth understanding and guidelines for developing cost-effective vehicular networking algorithms and protocols, and in providing many potential new on-road services and applications. This research program will train a large pool of highly qualified personnel, providing the trainees with valuable knowledge and research experiences in wireless networking, and enabling them to emerge as expert additions to the Canadian high technology industry labor force.