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NeTS-NEDG: Squeezing the Most Out of Wireless Access and Backhaul Networks: A Generic Cross-Layer Analytical Approach

NeTS-NEDG: Squeezing the Most Out of Wireless Access and Backhaul Networks: A Generic Cross-Layer Analytical Approach
NetS-NEDG:充分利用无线接入和回程网络:通用跨层分析方法
批准号:
0832093
负责人:
Yu Cheng
金额:
$25.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-09-01 至 2012-08-31

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中文摘要
翻译
沿着基于互联网协议(IP)的技术和无线网络的快速发展,电信和互联网服务提供商(SP)对用于将无线接入网络、无线回程网络和互联网骨干网集成到无缝IP解决方案中的技术表现出极大的兴趣。实现这一宏伟目标的基本问题之一是,需要对端到端路径上的每个网络沿着进行适当的规模调整和管理,以确保服务质量,预计本项目将为此做出重大贡献。该项目将开发准确的容量规划工具,有效的媒体访问控制协议,以及在无线接入和回程网络中实现最高资源利用的动态资源共享技术。特别是,所有的发展都整齐地组织在一个通用的跨层框架下,在上层IP应用程序数据到达过程和低层无线介质访问控制之间的复杂的相互作用被准确地捕获和建模。 更广泛的影响:在教育方面,该项目结合了嵌入式理论,优化和无线网络领域的理论研究,以及包括计算机模拟和试验台实验在内的实际调查。这种跨学科的研究不仅将提供各种培训项目,本科生和研究生,但也激励学生追求高质量的研究与创造性,开放的思想,跨学科的角度。在行业方面,该项目的成功将产生技术,不仅促进SP从无线网络中获得最大收益,而且还引发新的客户/SP相互作用模型和新的网络集成模型。
英文摘要
Along with the rapid development of Internet Protocol (IP) based technologies and wireless networks, telecommunication and Internet services providers (SPs) are showing great interests in technologies for integrating wireless access networks, wireless backhaul networks, and Internet backbone into a seamless IP solution. One of the fundamental issues towards this ambitious objective is that each network along an end-to-end path needs to be properly dimensioned and managed for quality of service provisioning, for which this project is expected to make significant contributions.Intellectual Merit: This project will develop accurate capacity planning tools, efficient medium access control protocols, and dynamic resource sharing techniques for highest resource utilization in both wireless access and backhaul networks. In particular, all the developments are neatly organized under a generic cross-layer framework, where the complex interplay between the upper-layer IP application data arrival process and the lower-layer wireless medium access control are accurately captured and modeled. Broader Impact: On the education front, this project incorporates theoretical studies in the areas of queueing theory, optimization, and wireless networking, with practical investigations including computer simulations and testbed experiments. This interdisciplinary research will not only provide various training projects to undergraduate and graduate students, but also inspire students to pursue high-quality research with a creative, open-minded, cross-disciplinary perspective. On the industry front, the success of this project will produce techniques that not only facilitate the SPs to squeeze the most out of the wireless networks for highest revenue, but also trigger new customer/SP interplay models and new network integration models.
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AF: Small: Faster Algorithms for High-Dimensional Robust Statistics
  • 批准号:
    2122628
  • 项目类别:
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  • 资助金额:
    $39.1万
  • 财政年份:
    2022
  • 负责人:
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  • 依托单位:
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  • 项目类别:
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  • 资助金额:
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  • 批准号:
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  • 项目类别:
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  • 资助金额:
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  • 财政年份:
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Dynamic Multivariate Normative Comparison and Risk Screening for Alzheimer's Disease Progression
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  • 项目类别:
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  • 资助金额:
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  • 财政年份:
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  • 负责人:
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  • 依托单位:
海外基金