Dynamic Team and Game Theory for Congestion Control in High-Speed Networks

这项由两名主要研究人员提出的建议描述了一项为期三年的研究计划，旨在为高速通信网络开发拥塞控制的一般理论，允许用户之间的合作和不合作。 建议的研究重点是流量控制，可以适应网络的拥塞状态，通过调节输入到系统的数据包的传输速率。 这将涉及到用户的一套丰富的工具，从分散的团队理论，动态博弈论，鲁棒的识别和估计。 所采用的框架将适应许多现实的情况下，如可变的反馈延迟，未知的反馈延迟，突发源，和多个瓶颈节点，以适应最大-最小公平。 沿着建议中所描述的路线进行的研究工作将导致高速网络分散流量控制器的方法和设计的重大进展，以及分散团队和动态博弈理论的一些新的基本成果。 他们还应该有助于使方法和新兴的设计工具，本科生和开始研究生在工程课程。

This proposal by two principal investigators describes a three-year research plan aimed at developing a general theory of congestion control for high speed communication networks, allowing for cooperation as well as noncooperation among the users. The focal point of proposed research is flow control of traffic that can adapt to the congestion state of the network by regulation of the input transmission rate of packets into the system. This will involve the user of a rich set of tools from decentralized team theory, dynamic game theory, and robust identification and estimation. The framework adopted will accommodate many realistic scenarios, such as variable feedback delays, unknown feedback delays, bursty sources, and multiple bottleneck nodes to accommodate max-min fairness. Research efforts along the lines described in the proposal should lead to major advances in the methodology and design of decentralized flow controllers for high speed networks, as well as to some new fundamental results in the theories of decentralized teams and dynamic games. They should also contribute toward making the methodology and the emerging design tools accessible to undergraduate and beginning graduate students in an engineering curriculum.