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

这个由两位主要研究者提出的提案描述了一个为期三年的研究计划，旨在发展高速通信网络拥塞控制的一般理论，允许用户之间的合作和不合作。本文研究的重点是流量控制，通过调节进入系统的数据包的输入传输速率来适应网络的拥塞状态。这将涉及用户从分散的团队理论，动态博弈论，和鲁棒识别和估计丰富的工具集。所采用的框架将适应许多现实场景，如可变反馈延迟、未知反馈延迟、突发源和多个瓶颈节点，以适应最大最小公平性。沿着提案中描述的路线进行的研究工作应该会导致高速网络分散流量控制器的方法和设计方面的重大进展，以及分散团队和动态博弈理论中的一些新的基本结果。他们还应该为工程课程的本科生和研究生提供方法论和新兴设计工具。

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.