NeTS: Small: Practical Strategies for using MIMO to Mitigate Interference in High-Density Uncoordinated Wireless Networks

相邻无线网络之间的干扰是高密度部署中的严重问题。 作为一个众所周知的例子，密集部署区域中的WiFi网络可能会经历严重的性能下降。 目前的方法有效地共享网络之间的可用带宽，但不解决潜在的干扰问题。 一种潜在的方法是多输入多输出（MIMO）干扰消除。虽然MIMO干扰消除的理论已被很好地理解，但由于实际限制，其尚未被部署。该项目旨在设计、评估和实施MIMO干扰消除的实用解决方案。 正在研究的想法包括一致的接入点定向，以减少收集信道状态信息的复杂性，干扰的比例公平性，这使得更好的MIMO链路调度，多级调度，以减少计算开销，达特的政策，鼓励接入点合作，引导CSMA/CA，以引导节点向预定的执行。 这些方法正在ns-3网络模拟器中使用精确的物理层模型进行实施和评估，并且正在软件定义的无线电平台上进行测试。该项目旨在显著提高在密集部署区域运行的无线网络（如WiFi网络和毫微微蜂窝基站）的性能。 所采取的方法使每个网络能够使用无线信道的全部可用带宽，而不管周围的干扰如何。 该项目预计将产生算法和协议，使MIMO干扰消除技术在实际网络设置中得到采用。 该项目还将通过实施ns-3网络模拟器对MIMO干扰消除的支持，并使研究界可以使用增强功能，为研究基础设施做出贡献。

Interference between neighboring wireless networks is a serious problem in high-density deployments. As one well-known example, WiFi networks in dense deployment areas can experience severe performance degradation. Current approaches efficiently share available bandwidth between networks, but do not address the underlying interference problem. One potential approach is multiple-input multiple-output (MIMO) interference cancellation. While the theory of MIMO interference cancellation is well understood, it has not been deployed due to practical limitations. This project is designing, evaluating, and implementing practical solutions to MIMO interference cancellation. Ideas being studied include Consistent Access Point Orientation to reduce the complexity of gathering channel state information, Proportional Fairness with Interference, which enables better MIMO link scheduling, multi-level scheduling to reduce computational overheads, tit-for-tat policies that encourage access point cooperation, and Guided CSMA/CA to guide nodes toward a scheduled execution. Approaches are being implemented and evaluated within the ns-3 network simulator using accurate physical layer models, and are also being tested on a software-defined radio platform. This project aims to significantly boost performance of wireless networks, such as WiFi networks and femtocells, that operate in dense deployment areas. The approach taken enables each network to use the full available bandwidth of the wireless channel regardless of surrounding interference. The project is expected to produce algorithms and protocols to enable MIMO interference cancellation techniques to be adopted in practical network settings. The project will also contribute to the research infrastructure by implementing support for MIMO interference cancellation the ns-3 network simulator and making the enhancements available to the research community.