CAREER: A Time-Scale Decomposition Approach to Dynamic-Oriented Resource Management for Wireless Networks

处理动态长期以来一直是无线网络资源管理中的一个独特挑战。虽然智能手机和平板电脑的加速普及引起了人们对高效无线资源管理问题的高度关注，但这个问题实际上进一步加剧，导致大规模应用程序性能低下，并给更大的用户群带来负面的社会影响。本项目的目标是为在核心设计中处理动态的无线资源管理奠定坚实的理论基础。它基于一种新的时间-尺度分解方法，其中动态在新的资源管理优化框架的从头制定中起着基础性作用。通过不同的教育努力和渠道，包括课程开发、在线教育系统、研究和外展计划，这项计划将接触到不同的学生群体，以跨学科的思维影响和启发他们，并通过实践经验丰富他们。该计划将为缓解“无线数据网络拥堵”问题迈出重要的一步。该项目的成果将丰富和转变无线资源管理领域，从静态解决方案的启发式适应转变为面向无线网络动态的解决方案。除了学术出版物等传统的知识传播渠道外，该项目还将通过分发软件包和收集的网络痕迹来传播其成果。该项目的影响还将在远程医疗系统中得到展示。

Handing dynamics has long since been a unique challenge in wireless network resource management. While the accelerated proliferation of smartphones and tablets has drawn considerable attention to the issue of efficient wireless resource management, the problem actually gets further exacerbated, resulting in inferior application performance at massive scale and negative societal impact to a larger user base. The objective of this project is to establish a solid theoretical foundation for wireless resource management that handles dynamics in its core design. It is based on a novel time-scale decomposition approach, in which dynamics play the foundational role in the clean-slate formulation of a new resource management optimization framework. Through diverse educational efforts and channels, including course development, on-line education systems, research and outreach programs, this project will reach a diverse group of students, influence and inspire them with inter-disciplinary thinking and enrich them with hands-on experiences.The project will establish a significant step towards the relief of "wireless data network congestion" problem. The results from this project will enrich and transform the field of wireless resource management from heuristic adaptations of static solutions into one that is oriented towards wireless network dynamics. In addition to the traditional knowledge distribution channel such as academic publications, this project will also disseminate its results through distribution of software packages and the collected network traces. The impact of this project will also be demonstrated in a remote medical care system.