Optimization and Control of Stochastic Wireless

随机无线的优化与控制

• 批准号: 0621922
• 负责人: Pablo Parrilo
• 金额: $ 24万
• 依托单位: Massachusetts Institute of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-09-01 至 2009-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0621922&HistoricalAwards=false
• 关键词: Optimization; Control; Stochastic; Wireless

0621922ParriloThe goal of this research effort is to develop a systematic approach to the analysis and synthesis of dynamic cross-layer control policies for stochastic wireless networks. Our aim is to produce mathematical and computational tools to systematically explore the performance and robustness trade-offs inherent to the resulting scheduling policies, and to devise efficient distributed algorithms for their implementation. We will be inspired by control-theoretic concepts to quantify performance, heavily modified to take into account the structural features specific to the networking setting. Among the performance characteristics that our formulation will tackle are network delay and rate of convergence, with computational ideas playing a prominent role in our developments.Intellectual Merit: The major goal in this project is to extend promising early results and develop new frameworks to understand and systematically analyze the operation of dynamic wireless networks. Such a task requires the combination of ideas and mathematical tools from network optimization, systems theory, stochastic control, and game theory. This is an important step towards the development of a framework capable of dealing with realistic, large-scale stochastic networks, aimed at the development of new network protocols and architectures with much better performance improvements.Broader Impacts: The methods and techniques will contribute to the efficient and reliable design and operation of wireless networks. This is an area of clear technological interest, wide societal impact, and obvious economic implications. Key features of this proposal include its integration with curriculum development, undergraduate research projects, new programs on computational optimization, and close collaboration with industrial partners and government research labs.

0621922ParriloThe这项研究工作的目标是开发一个系统的方法来分析和合成的动态跨层控制策略的随机无线网络。我们的目标是产生数学和计算工具，系统地探索性能和鲁棒性的权衡固有的调度策略，并制定有效的分布式算法，其实施。我们将受到控制理论概念的启发，以量化性能，并进行大量修改，以考虑到特定于网络设置的结构特征。其中的性能特点，我们的配方将解决网络延迟和收敛速度，计算的想法在我们的developments.Intellectual优点发挥了突出的作用：在这个项目的主要目标是延长有前途的早期成果，并开发新的框架来理解和系统地分析动态无线网络的操作。这样的任务需要结合网络优化，系统理论，随机控制和博弈论的思想和数学工具。这是一个框架的发展，能够处理现实的，大规模的随机网络，旨在开发新的网络协议和架构具有更好的性能improvements.Broader Impacts：的方法和技术将有助于无线网络的高效和可靠的设计和运营的重要一步。这是一个具有明显技术利益、广泛社会影响和明显经济影响的领域。该提案的主要特点包括与课程开发、本科研究项目、计算优化新项目的整合，以及与工业合作伙伴和政府研究实验室的密切合作。