NeTS-NEDG: Toward Service Predictability under Uncertain Resource Availability in 802.11 Like Networks

NeTS-NEDG：在 802.11 类网络中实现资源可用性不确定下的服务可预测性

• 批准号: 0832084
• 负责人: Rong Zheng
• 金额: $ 20万
• 依托单位: University of Houston
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-01-01 至 2012-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0832084&HistoricalAwards=false
• 关键词: NeTS; NEDG; Toward; Service; Predictability

Explosion of wireless products and innovative use of the ISM bands lead to a very crowded spectrum space. When densely deployed, significant performance degradation may be experienced ranging from higher latency and lower data rate to starvation and service disruption. To tackle the co-existence problems, two key challenges need to be addressed. First, there exists innate uncertainty in channel quality, user location and population as well as coexisting devices and networks. Second, many emerging applications using radio technologies in the ISM bands require high availability and predictable services instead of large access bandwidth. The focus of this project is thus to develop theoretical models and algorithms for robust resource management that target at minimizing the outage and/or disruption of desired service level under varying resource availability in 802.11 like networks. This work will result in i) new methods and measurement procedures for inferring internal and external conditions of broadband wireless networks; ii) novel concept of effective margin as a quantifiable metrics for the robustness of resource management decisions; and iii) design of an optimization framework for robust resource management with both discrete and continuous constraints. The proposed activities serve as fundamental building blocks to address wireless co-existence issues in industry, commercial and medical domains, where severe interferences can possibly cause tremendous economic loss and claim human lives. The interdisciplinary nature of this research lends naturally to a combine engineering and science curriculum development at both undergraduate and graduate levels with a significant experimental component.

无线产品的爆炸式增长和ISM频段的创新使用导致频谱空间非常拥挤。当密集部署时，可能会经历显著的性能下降，从更高的延迟和更低的数据速率到饥饿和服务中断。为了解决共存问题，需要解决两个关键挑战。首先，在信道质量、用户位置和人口以及共存的设备和网络中存在固有的不确定性。其次，许多新兴的应用使用ISM频段的无线电技术，需要高可用性和可预测的服务，而不是大的接入带宽。因此，本项目的重点是开发理论模型和算法的强大的资源管理，目标是在最小化的中断和/或中断的期望的服务水平在不同的资源可用性在802.11一样的网络。这项工作将导致i）用于推断宽带无线网络的内部和外部条件的新方法和测量程序; ii）作为资源管理决策的鲁棒性的可量化度量的有效裕度的新概念;以及iii）具有离散和连续约束的鲁棒资源管理的优化框架的设计。拟议的活动是解决工业、商业和医疗领域无线共存问题的基本组成部分，在这些领域，严重的干扰可能造成巨大的经济损失并夺去人的生命。这项研究的跨学科性质自然地借贷到一个联合收割机工程和科学课程开发在本科和研究生水平具有显着的实验组成部分。