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Collaborative Research: Energy Efficient Cognitive Networking

合作研究：节能认知网络

基本信息

批准号：
1147603
负责人：
Alhussein Abouzeid
金额：
$ 17.15万
依托单位：
Rensselaer Polytechnic Institute
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：
2011-09-01 至 2014-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1147603&HistoricalAwards=false
关键词：
Collaborative Research Energy Efficient Cognitive

项目摘要

This project addresses two of the grand challenges of the next decade: green wireless communication systems and spectrum efficiency, through a collaborative research and education plan utilizing optimization theory, and involving researchers from the U.S. and Finland. This project considers energy efficiency for cognitive radio networks and introduces a novel optimization-based methodology. It builds on existing results to establish a new focus on green cognitive networking. The way in which energy is consumed in cognitive networks provides unique opportunities for exploiting the cognitive process to save energy and for using energy reduction techniques to modify and improve the performance of cognitive networks. A unique feature of this project is the introduction of an optimization-based methodology for establishing and attaining ultimate performance limits. In this project, PIs develop energy performance bounds that yield insights for design of general networks, derive optimal tradeoffs between fundamental performance criteria, use optimization formulations for establishing and achieving ultimate performance limits, and design protocols that are optimal in the presence of temporal cognitive systems evolution. Research results of this work will be widely promulgated through the usual means of publication and dissemination and will have significant impact on energy efficiency of spectrum-efficient wireless systems.

该项目解决了未来十年的两个重大挑战：绿色无线通信系统和频谱效率，通过利用优化理论的合作研究和教育计划，并涉及来自美国和芬兰的研究人员。该项目考虑了认知无线电网络的能源效率，并介绍了一种新的基于优化的方法。它建立在现有的结果，建立一个新的重点绿色认知网络。认知网络中能量消耗的方式为利用认知过程来节省能量以及使用能量减少技术来修改和改进认知网络的性能提供了独特的机会。该项目的一个独特之处是引入了一种基于优化的方法来建立和达到最终性能极限。在这个项目中，PI开发的能源性能的界限，产生的见解一般网络的设计，获得基本性能标准之间的最佳权衡，使用优化配方建立和实现最终的性能限制，并设计协议，是最佳的存在时间认知系统的演变。这项工作的研究成果将通过通常的出版和传播方式广泛公布，并将对频谱高效无线系统的能源效率产生重大影响。