NeTS: Small: Wireless Multihop Networking with MIMO

无线网络对人们的工作和生活方式产生了深远的影响。随着网状网络和WiMax的出现，无线多跳网络可以通过提供无处不在的网络基础设施的最后一块来产生类似的影响。 然而，无线多跳网络受到容量限制，如Gupta和Kumar的经典著作中所述。 在为提高吞吐量而提出的不同技术中，MIMO链路的使用尤其有希望。 该项目考虑如何最佳地使用MIMO资源来实现网络范围的性能目标。 MIMO资源可以用于通过阵列和分集增益以及流的空间复用来提高单链路性能，或者通过干扰抑制来同时激活否则冲突的链路。 拟议的研究的特点，这些能力之间的内在权衡。 PI通过形式优化技术和算法设计和分析来解决这个问题。正在开发用于评估一组MIMO链路的可行性、用于跨MIMO网络调度流以及用于流的路由的算法。我们的问题配方占重要的MIMO特性，在MIMO网络的先前工作中被忽略。 从这些更精确的模型中，PI正在设计MIMO感知算法，这些算法将实现主要的吞吐量增益。除了正式的分析和新的算法，将从这项研究中，他们正在集成MIMO模型和算法到ns-3网络模拟器。 预计这将刺激更广泛的无线网络社区对MIMO的好处进行更多的研究。

Wireless networks have had a profound impact on the way people work and live. With the advent of mesh networks and WiMax, wireless multihop networks could have a similar impact by providing the last piece of a ubiquitous networking infrastructure. However, wireless multihop networks are subject to a capacity limit, as set forth in the classic work by Gupta and Kumar. Of different technologies proposed for throughput enhancement, the use of MIMO links is especially promising. This project considers how to use MIMO resources optimally to achieve network-wide performance goals. MIMO resources can be used to increase single-link performance through array and diversity gains and spatial multiplexing of streams, or to activate otherwise conflicting links simultaneously through interference suppression. The proposed research characterizes the inherent tradeoffs among these capabilities. The PIs are addressing the problem through both formal optimization techniques and algorithm design and analysis. Algorithms for evaluating feasibility of a set of MIMO links, for scheduling streams across a MIMO network, and for routing of flows are being developed. Our problem formulations account for important MIMO characteristics that were ignored in prior work on MIMO networks. From these more accurate models, the PIs are designing MIMO-aware algorithms that will enable major throughput gains. In addition to the formal analyses and new algorithms that will result from this research, they are integrating MIMO models and algorithms into the ns-3 network simulator. This is expected to spur additional research into the benefits of MIMO from the broader wireless networking community.