Cognitive Resource Scheduling Designs Towards Green Wireless Systems

据报道，无线和有线网络的ICT基础设施消耗的总能源占全球电能消耗的3%以上，而目前全球二氧化碳排放量的2%。据预测，在未来的一个主要部分，扩大业务量将在无线侧。此外，未来的无线网络系统（例如，4G/B4 G）的需求日益增长，因为宽带和高速定制，以支持众多多媒体应用的可靠服务质量（QoS）。随着高速率多媒体应用（如HDTV和3DTV）的爆炸式增长，无线网络将消耗越来越多的能量来满足QoS要求。具体而言，据预测，从2007年到2020年，移动的无线通信的足迹可能几乎增加两倍，相当于整个英国目前年排放量的三分之一以上。本研究的目的是利用认知无线电技术沿着创新的博弈论资源调度方法、高效的跨层设计和现代的临床研究成果，提高未来无线网络系统的联合频谱和能量效率。我们计划考虑健康和环境问题，引入节能的资源调度设计，智能地利用下一代系统中可用的无线资源。我们的努力将利用认知无线电技术的应用，以态势感知的通信系统与自适应功率控制和动态频谱分配。该项目将通过设计环境友好的联合功率和频谱高效的无线通信系统来支持英国的绿色通信技术。

It is reported that the total energy consumed by the ICT infrastructure of wireless and wired networks takes up over 3 percent of the worldwide electric energy consumption that generated 2 percent of the worldwide CO2 emissions nowadays. It is predicted that in the future a major portion of expanding traffic volumes will be in wireless side. Furthermore, future wireless network systems (e.g., 4G/B4G) are increasingly demanded as broadband and high-speed tailored to support reliable Quality of Service (QoS) for numerous multimedia applications. With explosive growth of high-rate multimedia applications (e.g. HDTV and 3DTV), more and more energy will be consumed in wireless networks to meet the QoS requirements. Specifically, it is predicted that footprint of mobile wireless communications could almost triple from 2007 to 2020 corresponding to more than one-third of the present annual emissions of the whole UK. Therefore, energy-efficient green wireless communications are paid increasing attention given the limited energy resources and environment-friendly transmission requirements globally.The aim of this project is to improve the joint spectrum and energy efficiency of future wireless network systems using cognitive radio technology along with innovative game-theoretic resource scheduling methods, efficient cross-layer designs and contemporary clinical findings. We plan to consider the health and environmental concerns to introduce power-efficient resource scheduling designs that intelligently exploit the available wireless resources in next-generation systems. Our efforts will leverage applications of cognitive radio techniques to situational awareness of the communications system with adaptive power control and dynamic spectrum allocation. This project will underpin the UK green communication technology by designing environment-friendly joint power and spectrum efficient wireless communication systems.