CCSS: Collaborative Research: Stochastic Modeling and Optimization for Cognitive Radio Networks

CCSS：协作研究：认知无线电网络的随机建模和优化

• 批准号: 1129062
• 负责人: Yuguang Fang
• 金额: $ 24万
• 依托单位: University of Florida
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-15 至 2015-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1129062&HistoricalAwards=false
• 关键词: CCSS; Collaborative; Research; Stochastic; Modeling

The objective of this research is to develop network protocols and optimizationtechniques to efficiently utilize the spectrum white spaces for cognitive radio networks.The proposed approach is based on a novel cognitive radio network (CRN) networkarchitecture under which effective design methodologies can be developed to take betteradvantage of cognitive radio technologies in harvesting and managing unutilizedspectrum for better service provisioning.The PIs will first study the proposed CRN architecture to enable collective spectrumsensing and let the secondary service provider manage the harvested spectrum for betterspectral efficiency while shifting the design complexity from the user side to the systemside. They will then investigate how to split traffic over harvested spectral bands tobalance the risk and reward, how to optimally utilize the spectral resource by jointlydesigning frequency allocation and routing while supporting traffic demands, and how tomaximize the throughput by joint link scheduling and routing. The proposed researchoutcome will lay the solid foundation for practical implementation of CRNs, which could potentially revolutionizes the way how cognitive radios should be more effectively used.The research outcome will significantly advance the state of the art in CRNs, opening anew avenue to designing smart living environments for public safety, disaster rescue,mobile healthcare and online social networks to improve peoples quality of life.Research findings will be disseminated through publications and talks, and in classroomteaching. This project will also actively recruit and train minority students for futureworkforce and mentor junior faculty.

本研究的目的是开发网络协议和优化技术，以有效地利用认知无线电网络的频谱空白。提出的方法基于一种新的认知无线电网络（CRN）网络架构，在该架构下可以开发有效的设计方法，以更好地利用认知无线电技术来收集和管理未利用的频谱，从而更好地提供服务。pi将首先研究拟议的CRN架构，以实现集体频谱传感，并让二级服务提供商管理收获的频谱，以获得更好的频谱效率，同时将设计复杂性从用户端转移到系统端。然后，他们将研究如何在收获的频谱频段上分割流量以平衡风险和回报，如何在支持业务需求的同时通过共同设计频率分配和路由来优化利用频谱资源，以及如何通过联合链路调度和路由来最大化吞吐量。提出的研究成果将为crn的实际实施奠定坚实的基础，这可能会彻底改变认知无线电应该如何更有效地使用的方式。该研究成果将显著推动crn技术的发展，为公共安全、灾害救援、移动医疗和在线社交网络等领域的智能生活环境设计开辟新的途径，从而提高人们的生活质量。研究成果将通过出版物、讲座和课堂教学进行传播。该项目还将积极招募和培训少数民族学生，为未来的劳动力和指导初级教师。