NeTS-WN: Network Performance Limits for Future Cognitive Radio Networks

NeTS-WN：未来认知无线电网络的网络性能限制

• 批准号: 0721570
• 负责人: Thomas Hou
• 金额: $ 15万
• 依托单位: Virginia Polytechnic Institute and State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-08-01 至 2011-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0721570&HistoricalAwards=false
• 关键词: NeTS; WN; Network; Performance; Limits

As cognitive radio (CR) technology becomes more mature in the near future, it is not hard to foresee that CR will eventually play a pivotal role in wireless networking, such as mesh and ad hoc networks. However, due to its unique characteristics in spectrum usage, a CR network differs significantly from the existing multi-channel multi-radio (MCMR) network. As a result, networking problems for CR networks are much more challenging and interesting.A major objective of this project is to develop network theoretical bounds and performance limits for future cognitive radio networks. Such efforts are not only of theoretical interest, but also offer fundamental understanding of the potential and limits of such networks, as well as provide performance benchmarks for the design and evaluation of distributed algorithms and protocols. New performance metrics such as Bandwidth-Footprint Product (BFP), which is unique to CR, will be employed, along with traditional performance metrics (e.g., network capacity). Special consideration will be given to interference modeling, power control, scheduling, and routing. An analytical framework will be developed that allows one to unify the multi-dimensional cross-layer design space into a tractable, understandable research problem. We will develop efficient computational procedures by employing powerful optimization techniques for given network instances. In addition to theoretical study of performance bounds, we also plan to develop distributed algorithms for optimal radio resource utilization.The educational objective of this project is to develop teaching materials for future CR-based wireless networks. The investigator aims to develop a new course that intersects networking, communications, and software curricula in both the ECE and CS departments. Special efforts will be made to involve students from underrepresented groups in the form of wireless summer school to encourage participation in this project.

随着认知无线电（CR）技术在不久的将来变得越来越成熟，不难预见，CR最终将在无线网络（如mesh和ad hoc网络）中发挥举足轻重的作用。然而，由于其在频谱使用方面的独特特性，CR网络与现有的多信道多无线电（MCMR）网络显著不同。因此，认知无线电网络的组网问题更具挑战性和趣味性。本课题的主要目标是为未来的认知无线电网络建立网络理论边界和性能极限。这些努力不仅是理论上的兴趣，但也提供了基本的理解，这种网络的潜力和限制，以及提供分布式算法和协议的设计和评估的性能基准。新的性能指标，如带宽占用产品（BFP），这是唯一的CR，将采用，沿着与传统的性能指标（例如，网络容量）。将特别考虑干扰建模，功率控制，调度和路由。一个分析框架将被开发，允许一个统一的多维跨层设计空间到一个易于处理的，可理解的研究问题。我们将通过对给定的网络实例采用强大的优化技术来开发有效的计算程序。 除了性能界限的理论研究，我们还计划开发分布式算法的最佳无线电资源利用率。本项目的教育目标是开发未来的CR为基础的无线网络的教材。调查员的目的是开发一个新的课程，相交的网络，通信和软件课程在欧洲经委会和CS部门。 将作出特别努力，以无线暑期学校的形式，让代表性不足的群体的学生参与，以鼓励他们参与这一项目。