CAREER: Towards Rich Multimedia Experience in Emerging Cognitive Radio Networks

认知无线电(CR)是一种具有智能控制和监控接口的频率捷变无线通信设备，可以实现动态频谱访问。认知无线电的概念代表了频谱管理和利用的范式变化。随着基本认识的加深，迫切需要充分利用CR在支持新应用方面的巨大潜力。这个职业项目研究在新兴CR网络中启用丰富多媒体服务的问题。尽管回报很高，但关于通道可用性、感知和接入的新的动态维度带来了整个水平的技术挑战。为了应对这些挑战，采用了一种新颖的跨层优化和控制方法，并辅之以开源CR视频测试床的分布式算法设计和开发。多种多样的设计权衡、多变的动态、稀缺的资源以及另一方面，视频的严格的服务质量约束使得优化和控制方法非常适合于最大限度地挤压CR视频网络。这三项研究包括：CR视频网络的跨层优化，基于经典和现代控制理论的CR视频网络分析和设计，以及CR视频试验台和现场实验的实验研究。该项目将满足迫切的需求，使新兴的CR网络中的视频通信能够用于商业和关键任务应用。开源软件、CR视频试验台和实验数据将在无线社区中分发。研究成果将与课程开发、教科书编写、让研究生和本科生参与尖端研究、促进多样性以及延伸到K-12学生相结合。

A cognitive radio (CR) is a frequency-agile wireless communication device with intelligent control and a monitoring interface that enables dynamic spectrum access. The CR concept represents a paradigm change in spectrum regulation and utilization. As basic understandings gained, there is a compelling need to fully capitalize CR's high potential for supporting new applications. This CAREER project investigates the problem of enabling rich multimedia services in emerging CR networks. Although highly rewarding, the new dimension of dynamics on channel availability, sensing, and access brings about a whole level of technical challenges. To address these challenges, a novel cross-layer optimization and control approach is employed, complemented with distributed algorithm design and development of an open source CR video testbed. The manifold design trade-offs, multifarious dynamics, scarce resources and, on the other hand, video's tight QoS constraints make the optimization and control approach highly suited for "squeezing" the most out of CR video networks. The three research thrusts include: cross-layer optimization of CR video networks, classical and modern control theory based analysis and design of CR video networks, and experimental research with a CR video testbed and field experiments.This project will serve a critical need by enabling video communications in emerging CR networks for commercial and mission-critical applications. Open source software, a CR video testbed, and experimental data will be distributed in the wireless community. The research outcomes will be integrated with course development, textbook writing, involving graduate and undergraduate students in cutting-edge research, promoting diversity, and outreach to K-12 students.