Collaborative Research: Energy Efficient Cognitive Networking

该项目解决了未来十年的两大挑战：绿色无线通信系统和频谱效率，通过利用最优化理论的合作研究和教育计划，并有来自美国和芬兰的研究人员参与。该项目考虑了认知无线电网络的能量效率，并引入了一种新的基于优化的方法。它建立在现有成果的基础上，建立了对绿色认知网络的新关注。认知网络中能量的消耗方式为利用认知过程节约能量以及使用能量降低技术来修改和提高认知网络的性能提供了独特的机会。该项目的一个独特特点是引入了一种基于优化的方法，以建立和达到最终的性能极限。在这个项目中，PI开发能量性能界限，为一般网络的设计带来洞察力，在基本性能标准之间得出最佳权衡，使用优化公式建立和实现最终性能极限，并设计在存在时间认知系统演化的情况下最优的协议。这项工作的研究成果将通过通常的出版和传播手段广泛公布，并将对频谱高效无线系统的能量效率产生重大影响。

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.