CAREER: Towards Rich Multimedia Experience in Emerging Cognitive Radio Networks

职业：在新兴认知无线电网络中实现丰富的多媒体体验

• 批准号: 0953513
• 负责人: Shiwen Mao
• 金额: $ 40万
• 依托单位: Auburn University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-08-15 至 2016-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0953513&HistoricalAwards=false
• 关键词: CAREER; Towards; Rich; Multimedia; Experience

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.

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，能够实现动态频谱接入。 CR概念代表了频谱管理和利用的范式变化。 随着基本理解的获得，迫切需要充分利用CR支持新应用的巨大潜力。这个CAREER项目研究在新兴的CR网络中实现丰富的多媒体服务的问题。 虽然回报很高，但关于信道可用性、感知和访问的动态的新维度带来了一个整体水平的技术挑战。 为了应对这些挑战，采用了一种新的跨层优化和控制方法，并辅以分布式算法设计和开源CR视频测试平台的开发。 多方面的设计权衡，多样的动态，稀缺的资源，另一方面，视频的严格的QoS约束，使优化和控制方法非常适合“挤压”最出CR视频网络。 该项目的三个主要研究方向包括：CR视频网络的跨层优化、基于经典和现代控制理论的CR视频网络分析与设计、CR视频测试平台的实验研究和现场实验。 开源软件、CR视频测试平台和实验数据将在无线社区分发。 研究成果将与课程开发，教科书编写，涉及研究生和本科生的前沿研究，促进多样性，并推广到K-12学生相结合。