CAREER: Towards a Formal Theory of Wireless Networking

职业：走向无线网络的正式理论

• 批准号: 0952867
• 负责人: Alejandro Ribeiro
• 金额: $ 40万
• 依托单位: University of Pennsylvania
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-01 至 2016-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0952867&HistoricalAwards=false
• 关键词: CAREER; Towards; Formal; Theory; Wireless

The last decades of the 20th century witnessed the emergence of networks that have become ever more pervasive and important. At the start of the 21st century developing a scientific understanding of networks remains an unresolved intellectual endeavor. Part of this effort is the understanding of wireless communication networks on a fundamental level pursued in this project. The research formulates optimization problems that model wireless networks in a variety of settings and translates properties of the former into characteristics of the latter. For doing so, the investigators rely on the fact that randomness, in the form of fading, yields seemingly more complex problems that nonetheless have a more tractable structure. This richer structure is studied to: (i) Determine architectural properties of wireless networks. (ii) Design algorithms to find optimal operating points for different types of physical layers. (iii) Develop strategies to learn fading distributions. (iv) Consider tradeoffs associated with acquisition of channel state information.The education agenda revolves around the excitement, challenge and discipline gaps. The excitement gap is about the excitement people feels about science and technology versus the lack of interest to pursue careers in science and technology. The challenge gap refers to the ongoing trend to reduce the complexity of material covered in courses. The discipline gap alludes to the compartmental experience offered to students and the reality of an increasingly hazy separation between disciplines. The education plan contributes to the closing of these gaps through the development of an undergraduate level course on stochastic processes and a graduate level course on optimal design of wireless networks. Both of these courses are designed to be challenging, exciting and multidisciplinary.

20世纪的最后几十年见证了网络的出现，网络变得越来越普遍和重要。在21世纪初，发展对网络的科学理解仍然是一项尚未解决的智力努力。这项工作的一部分是在本项目中追求的基本层面上对无线通信网络的理解。这项研究提出了在各种环境下对无线网络进行建模的优化问题，并将前者的特性转化为后者的特性。为了做到这一点，研究人员依赖于这样一个事实，即以衰落的形式出现的随机性会产生看起来更复杂的问题，但这些问题却有更容易处理的结构。研究这种更丰富的结构是为了：(I)确定无线网络的体系结构属性。(Ii)设计算法，为不同类型的物理层寻找最佳工作点。(3)制定学习衰落分布的策略。(Iv)考虑与获取渠道状态信息相关的权衡。教育议程围绕兴奋、挑战和纪律差距展开。令人兴奋的差距在于人们对科学技术的兴奋程度，以及人们对从事科学技术事业缺乏兴趣。挑战差距指的是降低课程所涵盖材料的复杂性的持续趋势。学科之间的差距暗示着提供给学生的区分体验，以及学科之间日益模糊的分离的现实。该教育计划通过开发一门关于随机过程的本科生课程和一门关于无线网络优化设计的研究生课程，有助于缩小这些差距。这两门课程的设计都具有挑战性、激动人心和跨学科的特点。