NeTS-NBD: Distributed Algorithms for Optimal Control of Mobile Wireless Networks

NETS-NBD：移动无线网络最佳控制的分布式算法奖0626882 Edmund Yeh该项目为最佳控制移动无线网络建立了一个分析和设计框架。这包括开发用于优化网络延迟等性能指标的基本理论和设计原则，以及实用的网络控制机制。所建立的框架采用无线网络的流量模型，并依赖于分布式凸优化理论。在该框架内，对功率控制、路由、网络编码、拥塞控制、移动性控制和网络自配置等网络功能进行了联合优化。此外，还开发了计算和控制开销有限的分布式网络控制算法。该项目的预期结果包括：(1)描述了分布式控制算法的收敛速度和可扩展性，以及算法对时变的流量统计和不断变化的网络拓扑的适应性；(2)使用受控移动性来实现网络性能目标的分布式算法；(3)具有通用编码/调制方案和网络编码功能的无线网络的最优分布式算法；(4)利用最优功率控制和路由的结果来更好地刻画无线网络的吞吐量伸缩规律。该项目将(1)对用于国家安全、商业企业和科学探索的无线网络架构产生直接和长期的影响；(2)通过联合计划的课程影响本科生和研究生教育；(3)通过与其他大学部门、政府研究机构和行业合作，加强研究和教育基础设施；(4)通过参加多学科会议和研讨会，以及通过接触更广泛的媒体，增进对科学技术的了解。

NeTS-NBD: Distributed Algorithms for Optimal Control of Mobile Wireless NetworksAward 0626882Edmund YehThis project establishes an analytical and design framework for optimally controlling mobile wireless networks. This includes the development of fundamental theoretical and design principles, as well as practical network control mechanisms, for optimizing performance metrics such as network delay. The established framework uses a flow model of the wireless network, and relies on the theory of distributed convex optimization. Within this framework, network functionalities such as power control, routing, network coding, congestion control, mobility control, and network self configuration are jointly optimized. Moreover, distributed network control algorithms with limited computational and control overhead requirements are developed. Expected results from the project include (1) characterization of the convergence rate and scalability of the distributed control algorithms, as well as the algorithms' adaptability to time-varying traffic statistics and changing network topology, (2) distributed algorithms which use controlled mobility to achieve network performance objectives, (3) optimal distributed algorithms for wireless networks with general coding/modulation schemes and network coding functionalities, and (4) the use of results on optimal power control and routing to obtain better characterizations of throughput scaling laws for wireless networks. This project will (1) have direct and long-term impact on wireless network architectures used in national security, commercial enterprise, and scientific exploration, (2) impact undergraduate and graduate education through a jointly planned course, (3) enhance research and education infrastructure through partnering with other university departments, government research institutions, and industry, (4) enhance scientific and technological understanding by participation in multi-disciplinary conferences and workshops, and exposure to broader media.