NeTS: Small: Toward Reducing Control Overheads in Wireless Networks

这个项目开发了一个理论，了解在无线网络中的控制开销的要求和减少这些开销的量的机制。 诸如调度、路由和流控制的网络控制机制确保通信网络中的有效数据传输，但也需要交换网络状态信息，诸如信道条件和长度信息，这相当于"控制开销"。 该项目研究发送此类控制信息的速率与有效控制网络性能指标（如吞吐量、稳定性、延迟和网络效用）的能力之间的权衡。 该项目采取双管齐下的方法：首先，正在开发一个率失真框架，以了解退化的网络状态信息对网络性能的影响。 第二，正在开发的机制，用于减少控制开销的量，这些机制对网络性能的影响正在调查。 该项目开发协议开销的要求，这将导致更有效的网络控制策略，减少开销的基本理解。这样的改进将对网络性能产生显著影响，特别是在无线网络中，无线网络由于协议效率低下而经历大的开销。 研究结果将通过在会议、期刊和网络上发表广泛传播，以帮助推动无线网络领域的发展。更广泛的影响包括培训研究生和本科生以及向工业和政府实验室转让技术。

This project develops a theory for understanding the requirements for control overheads in wireless networks and mechanisms for reducing the amount of these overheads. Network control mechanisms, such as scheduling, routing, and flow control, ensure effective data transport in a communication network, but also require the exchange of network state information, such as channel conditions and queue-length information, which amounts to 'control overhead'. The project investigates the tradeoffs between the rate of sending such control information, and the ability to effectively control the network in terms of performance metrics such as throughput, stability, delay and network utility. The project takes a two-pronged approach: First, a rate-distortion framework is being developed for understanding the impact of degraded network state information on network performance. Second, mechanisms are being developed for reducing the amount of control overhead and the impact of these mechanisms on network performance is being investigated. The project develops a fundamental understanding of the requirements for protocol overhead, which will lead to more efficient network control policies, with reduced overheads. Such improvements will have a significant impact on network performance, especially in wireless networks, which experience large overheads due to protocol inefficiencies. The results will be widely disseminated through publication in conferences, journals and the web to help advance the wireless networking field. The broader impacts include training of graduate and undergraduate students and technology transfer to industry and government laboratories.