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: 1128768
• 负责人: Pan Li
• 金额: $ 16万
• 依托单位: Mississippi State University
• 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=1128768&HistoricalAwards=false
• 关键词: CCSS; Collaborative; Research; Stochastic; Modeling; 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.

这项研究的目的是开发网络协议和优化技术，以有效利用频谱白色空间来进行认知无线网络。该方法基于一种新型的认知无线网络（CRN）网络结构，可以开发有效的设计方法，以便在该方法中开发出更好的认知无线电技术，以更好地进行供应。 CRN体系结构可实现集体谱图，并让二级服务提供商管理收获的光谱，以提高光谱效率，同时将设计复杂性从用户端转移到Systemside。然后，他们将调查如何通过收获的光谱带的风险和奖励来分配流量，如何通过共同设计的频率分配和路由在支持流量需求的同时通过联合设计的频率分配和路由来最佳利用光谱资源，以及如何通过关节链路调度和路由来对吞吐量进行吞吐量。拟议的研究结果将为CRN实施实施稳固的基础，这可能会彻底改变认知无线电的方式。研究成果将大大推动CRN中的艺术状况，开辟了智能生活环境，为公共安全，移动保健和在线社交网络的质量发展而开放智能生活环境，以改善生活的质量。课堂教学。该项目还将积极招募和培训少数族裔学生，以供将来的Workworkforce和Mentor Junior教师。