EAGER: Collaborative Research: Joint Adaptation of Multiple Cognitive Systems without Explicit Coordination

EAGER：协作研究：无需明确协调的多个认知系统的联合适应

• 批准号: 1265280
• 负责人: Allen MacKenzie
• 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: 2013
• 资助国家: 美国
• 起止时间: 2013-02-01 至 2016-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1265280&HistoricalAwards=false
• 关键词: EAGER; Collaborative; Research; Joint; Adaptation

Cognitive wireless systems are a collection of wireless network entities that are able to adapt intelligently to the environment through observation, exploration and learning. This project designs methods for cognitive radio systems to compete for inhomogeneous spectrum resources and to establish, without explicit coordination, a spectrum etiquette. Each system's resource utilization strategy must be decided with only imperfect information of other systems' actions, and the resulting adaptations must discourage any one system from manipulating the agreed spectrum etiquette. The framework of dynamic games with imperfect private monitoring is adopted to design coexistence mechanisms for cognitive radio systems sharing inhomogeneous resources and to analyze the stability, robustness, complexity, and convergence of these mechanisms. This work directly impacts the development and standardization of frequency agile wireless systems that can more efficiently use the available spectrum to support increasing demand for ubiquitous wireless connectivity at high data rates. The project is a collaborative effort between researchers in the US (at Virginia Tech and the University of Houston) and Finland (at the University of Oulu). This work will extend the state of the art in cognitive system adaptations by incorporating the ability to: efficiently adapt under imperfect information; fairly share inhomogeneous resources; and discourage manipulation of resource use by selfish adversaries. Results will be disseminated in high impact journals and conferences; the designed coexistence mechanisms will also be presented to industry and regulators in the US and Europe.

认知无线系统是能够通过观察、探索和学习智能适应环境的无线网络实体的集合。该项目设计了认知无线电系统的方法，以竞争非均匀频谱资源，并在没有明确协调的情况下建立频谱礼仪。每个系统的资源利用策略必须仅根据其他系统行为的不完美信息来决定，并且由此产生的适应必须阻止任何一个系统操纵商定的频谱礼仪。采用不完善私人监控的动态博弈框架，设计共享非同质资源的认知无线电系统的共存机制，并分析这些机制的稳定性、鲁棒性、复杂性和收敛性。这项工作直接影响频率捷变无线系统的开发和标准化，这些系统可以更有效地利用可用频谱来支持对高数据速率下无处不在的无线连接日益增长的需求。该项目是美国（弗吉尼亚理工大学和休斯顿大学）和芬兰（奥卢大学）研究人员的合作成果。这项工作将通过整合以下能力来扩展认知系统适应的最新技术：在不完美信息下有效适应；公平共享非同质资源；并阻止自私的对手操纵资源的使用。结果将在高影响力期刊和会议上传播；设计的共存机制还将提交给美国和欧洲的行业和监管机构。