An Efficient Framework for Channel State Dissemination and Network Synchronization

近十年来，随着无线设备的迅速普及，如何通过网络中设备的紧密协调，有效利用有限的频谱资源变得越来越重要。虽然最近已经开发了一些先进的技术来解决这个问题，但这些技术需要对信道状态有一个准确和一致的视图，以及网络中设备之间一定程度的同步才能有效。该项目的研究计划侧重于开发信道状态传播和网络同步的分析框架和有效技术，以实现网络中设备的密切协调和信道资源的有效利用。提出的研究基于这样一种观点，即为了确定对网络可用的频谱和时间资源的最佳利用，信道状态估计和传播应该作为正常网络运行的一部分持续进行。通过在现有网络流量中持续估计和传播网络信道状态信息，网络中的设备可以自适应地确定合适的网络结构，减轻干扰的影响，从而促进在当前和预测信道状态下的有效通信。该研究计划的基础性使其广泛适用于蜂窝网络、无线局域网、车载网络、应急通信系统等无线通信系统。该项目开发的有效信道状态传播和网络同步的分析框架和技术将影响新兴的无线通信系统，如知情发射机多输入多输出（MIMO）、认知无线电、协作中继、分布式传输和干扰对准。所提出的研究将为理解无线网络中最小过时信道状态传播和时钟同步的局限性奠定坚实的理论基础，并将通过测试平台实现信道状态传播和网络同步技术进行实验验证。

With the rapid proliferation of wireless devices in the last decade, it has become increasingly important to efficiently utilize limited spectrum resources through close coordination of devices in the network. While several advanced techniques have been developed recently to address this problem, these techniques require an accurate and consistent view of the channel states as well as some degree of synchronization among the devices in the network to be effective. The research plan in this project is focused on developing an analytical framework and efficient techniques for channel state dissemination and network synchronization to enable close coordination of devices in a network and efficient utilization of the channel resources. The proposed research is based on the view that, in order to determine the best use of the spectral and temporal resources available to the network, channel state estimation and dissemination should be performed continuously as part of the normal network operation. By estimating and disseminating network channel state information continuously through existing network traffic, devices in the network can adaptively determine an appropriate network structure and mitigate the effects of interference to facilitate efficient communication under current and predicted channel states.The foundational nature of the research plan makes it broadly applicable in a wide range of wireless communication systems such as cellular networks, wireless local area networks, vehicular networks, and emergency communication systems. The analytical framework and techniques for efficient channel state dissemination and network synchronization developed on this project will impact emerging wireless communication systems such as informed-transmitter multi-input multi-output (MIMO), cognitive radio, cooperative relaying, distributed transmission, and interference alignment. The proposed research will establish a solid theoretical foundation for understanding the limits of minimum-staleness channel state dissemination and clock synchronization in wireless networks and will also include experimental verification through testbed implementations of the channel state dissemination and network synchronization techniques.