NeTS: PROWIN: Broadband Optical/RF Wireless Networks with Topology and Diversity Control

NETS-ProWiN：具有拓扑和分集控制的宽带光纤/射频无线网络奖0435206斯图尔特·米尔纳，大学。马里兰州大学园区摘要光纤主干提供每秒千兆位的数据速率，为家庭、办公室、教室甚至移动用户提供端到端的多媒体服务。然而，这些主干和终端用户之间在可用性和容量方面都存在着巨大的差距。这被称为“最后(或第一)英里的问题”，并且仍然是我们从任何地方到任何地方实施宽带网络所面临的最大障碍。在这个项目中，正在开发用于自主网络重新配置(拓扑控制)的软件，该软件将提高无线主干中的可生存性(双向连通性)、可扩展的自主物理和逻辑重新配置、最大数据速率和最大可用性。以一种独特的方式，将具有高达每秒千兆位传输速率的可重新配置的光无线通信与定向RF通信结合使用。这提供了自主物理和逻辑重新配置的能力。这被称为拓扑控制，将自主主干编队与可靠、灵活的光纤无线和射频链路独特地结合在一起。正在开发用于拓扑控制的创新的先进软件方法和技术。该软件包括：流量工程和重新配置算法；多目标优化；以及拓扑发现、传播和生存性。为应对网络链路退化(S)和网络恢复而设计的软件和方法将包括：流量工程；嵌入不确定性建模的多目标优化技术；以及拓扑发现、传播和生存能力。将使用分析和离散事件模拟技术对算法和软件进行评估。

NeTS-ProWiN: Broadband Optical/RF Wireless Networks with Topology and Diversity ControlAward 0435206Stuart Milner, Univ. of Maryland - College ParkAbstractOptical fiber backbones provide gigabit per second data rates enabling end-to-end multimedia services to homes, offices, classrooms and even mobile users. However, there is a significant gap between such backbones and end users both in availability and capacity. This has been referred to as "the last (or first) mile problem" and continues to be the greatest obstacle we face in implementing broadband networks from anywhere to anywhere. In this project, software for autonomous network reconfiguration (topology control) is being developed, which will promote survivability (bi-connectedness), scalable autonomous physical and logical reconfiguration, maximum data rate and maximum availability at all times and everywhere in a wireless backbone. In a unique manner, reconfigurable optical wireless communications, with up to gigabit per second transmission rates are used in combination with directional RF communications. This offers the capability for autonomous physical and logical reconfiguration. This is referred to as topology control, uniquely combining autonomous backbone formation with assured, agile, optical wireless and RF links. Innovative advanced software methodologies and techniques for topology control are being developed. The software includes: traffic engineering and reconfiguration algorithms; multi-objective optimization; and topology discovery, dissemination, and survivability. Software and methodologies designed to respond to degradation in the network link(s) as well as for network recovery will include: traffic engineering; multi-objective optimization techniques with embedded uncertainty modeling; and topology discovery, dissemination and survivability. Evaluation of the algorithms and software will be achieved using analytical and discrete event simulation techniques.