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: 1265268
• 负责人: Zhu Han
• 金额: $ 15万
• 依托单位: University of Houston
• 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 2015-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1265268&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、探索和学习来智能地适应环境的无线网络实体的集合。本计画设计认知无线电系统竞争非同质频谱资源的方法，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在其他系统行动的不完全信息的情况下决定，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。采用不完全私有监控的动态博弈框架，设计了认知无线电系统共享非同质资源的共存机制，并分析了这些机制的稳定性、鲁棒性、复杂性和收敛性。这项工作直接影响了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使用可用频谱，以支持对无处不在的高数据速率无线连接的日益增长的需求。该项目是美国（弗吉尼亚理工大学和休斯顿大学）和芬兰（欧卢大学）研究人员的合作成果。这项工作将扩展最先进的认知系统的适应能力：有效地适应下不完美的信息;公平地分享非同质资源;并阻止操纵资源使用自私的对手。研究结果将在高影响力的期刊和会议上传播;设计的共存机制也将提交给美国和欧洲的行业和监管机构。