Optimization and Control of Stochastic Wireless

0621922 Parrilo这项研究工作的目标是开发一种系统的方法来分析和综合随机无线网络的动态跨层控制策略。我们的目标是产生数学和计算工具，以系统地探索所产生的调度策略所固有的性能和健壮性权衡，并为其实施设计高效的分布式算法。我们将受到控制论概念的启发来量化性能，并对其进行大量修改，以考虑特定于网络设置的结构特征。我们的公式将解决的性能特征包括网络延迟和收敛速度，计算思想在我们的开发中发挥着突出的作用。智力优势：该项目的主要目标是扩展有希望的早期成果，并开发新的框架来理解和系统分析动态无线网络的运行。这样的任务需要网络优化、系统论、随机控制和博弈论的思想和数学工具的结合。这是朝着开发能够处理现实的大规模随机网络的框架迈出的重要一步，旨在开发具有更好性能改进的新的网络协议和体系结构。广泛的影响：这些方法和技术将有助于无线网络的高效和可靠的设计和运行。这是一个具有明显的技术利益、广泛的社会影响和明显的经济影响的领域。这项建议的主要特点包括与课程开发、本科研究项目、计算优化方面的新项目以及与行业合作伙伴和政府研究实验室的密切合作。

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.