NEDG: Cooperative Wireless Networks: From Theory to Urban-Scale Trials
NEDG:协作无线网络:从理论到城市规模试验
基本信息
- 批准号:0832025
- 负责人:
- 金额:$ 30万
- 依托单位:
- 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
- 起止时间:2008-09-01 至 2011-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This project studies a paradigm in which nodes cooperate by pooling power and bandwidth resources and where flows interact opportunistically to avoid interference and increase network utilization. The PIs will leverage their existing expertise in cooperative and opportunistic communications to analyze the implications for broader networks of communication nodes. In particular, they will instantiate their design philosophy in three ways: Node Information Management: While previous network analyses considered only isolated aspects of a node (e.g., channel gain), the project studies a comprehensive network state information, which captures not only physical-layer conditions but also higher-layer information such as queue state, processing power, and availability of forwarding routes. Novel Network Representations: Instead of regarding the network as a simple connectivity graph, the PIs will introduce and develop a network representation which incorporates both temporal and spatial relationships between nodes. The PIs refer to this as the trellis representation of the network, and it will enable us to describe cooperative and opportunistic communication in a wide area network. The trellis will provide a structure in which to identify opportunities for physical layer cooperation, determine the impact of cooperation on neighboring nodes and flows, and opportunistically schedule and route competing flows at fine grained time scales.Distributed Cooperative Discovery: Traditional discovery protocols for determining network connectivity are unable to identify cooperative links. New techniques will be developed that leverage existing discovery protocols to efficiently locate potential cooperative topologies, which are a key to opportunistic communication. These discovery protocols will recover network state information and enable the use of the trellis representation to identify the optimal cooperative route through the network.With these tools, the PIs will develop and analyze protocols for coordinating cooperative and opportunistic communications in heterogeneous networks. The new protocols will expand access in underserved areas while increasing throughput in existing networks. This research will have a broad impact on education by engaging undergraduate and graduate students in the Rice Center for Multimedia Communication (CMC) laboratory. Cooperative communication will be integrated into several courses at Rice in the wireless communication and networking areas. Software and firmware modules as well as publications will be distributed through the WARP open-access repository(\href{http://warp.rice.edu/trac}{http://warp.rice.edu/trac}).
本项目研究了一种范例,在这种范例中,节点通过集中电力和带宽资源进行合作,其中流机会性地相互作用,以避免干扰并提高网络利用率。pi将利用他们在合作和机会性通信方面的现有专业知识来分析对更广泛的通信节点网络的影响。特别是,他们将以三种方式实例化他们的设计理念:节点信息管理:虽然以前的网络分析只考虑节点的孤立方面(例如,通道增益),但该项目研究了一个全面的网络状态信息,它不仅捕获物理层条件,还捕获更高层的信息,如队列状态、处理能力和转发路由的可用性。新颖的网络表示:pi将引入并开发一种包含节点之间时间和空间关系的网络表示,而不是将网络视为简单的连接图。pi将其称为网络的网格表示,它将使我们能够描述广域网中的合作和机会性通信。网格将提供一种结构,用于识别物理层合作的机会,确定合作对相邻节点和流的影响,并在细粒度时间尺度上安排和路由竞争流。分布式协作发现:用于确定网络连通性的传统发现协议无法识别合作链路。将开发利用现有发现协议来有效定位潜在合作拓扑的新技术,这是机会通信的关键。这些发现协议将恢复网络状态信息,并允许使用网格表示来识别通过网络的最佳合作路由。有了这些工具,pi将开发和分析在异构网络中协调合作和机会通信的协议。新协议将扩大服务不足地区的接入,同时提高现有网络的吞吐量。这项研究将通过吸引莱斯多媒体通信中心(CMC)实验室的本科生和研究生对教育产生广泛的影响。合作通信将被整合到赖斯大学无线通信和网络领域的几门课程中。软件和固件模块以及出版物将通过WARP开放存取存储库(\href{http://warp.rice.edu/trac}{http://warp.rice.edu/trac})分发。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Behnaam Aazhang其他文献
Reconstructing 12-lead ECG from reduced lead sets using an encoder–decoder convolutional neural network
使用编码器-解码器卷积神经网络从精简导联组重建 12 导联心电图
- DOI:
10.1016/j.bspc.2024.107486 - 发表时间:
2025-06-01 - 期刊:
- 影响因子:4.900
- 作者:
Dorsa EPMoghaddam;Anton Banta;Allison Post;Mehdi Razavi;Behnaam Aazhang - 通讯作者:
Behnaam Aazhang
PO-05-061 A MACHINE LEARNING ALGORITHM FOR PINPOINTING THE ORIGIN OF ARRHYTHMIA
用于精确确定心律失常起源的机器学习算法
- DOI:
10.1016/j.hrthm.2025.03.1459 - 发表时间:
2025-04-01 - 期刊:
- 影响因子:5.700
- 作者:
Dorsa Esmaeilpourmoghaddam;Mathews John;Allison Post;Matthew Segar;Lukas M. Jaworski;Drew Bernard;Payam Safavi-Naeini;Mehdi Razavi;Behnaam Aazhang - 通讯作者:
Behnaam Aazhang
Computational sensitivity evaluation of ultrasound neuromodulation resolution to brain tissue sound speed with robust beamforming
- DOI:
10.1038/s41598-025-95396-x - 发表时间:
2025-04-02 - 期刊:
- 影响因子:3.900
- 作者:
Boqiang Fan;Wayne Goodman;Sameer A. Sheth;Richard R. Bouchard;Behnaam Aazhang - 通讯作者:
Behnaam Aazhang
Behavioral effects of disrupted direct pathway signal flow caused by dopamine depletion
- DOI:
10.1186/1471-2202-14-s1-p205 - 发表时间:
2013-07-08 - 期刊:
- 影响因子:2.300
- 作者:
Samantha R Summerson;Behnaam Aazhang;Caleb T Kemere - 通讯作者:
Caleb T Kemere
Behnaam Aazhang的其他文献
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{{ truncateString('Behnaam Aazhang', 18)}}的其他基金
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2328599 - 财政年份:2023
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1547305 - 财政年份:2015
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NCS-FO:协作研究:人类语言的微尺度实时解码和闭环调制
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1533688 - 财政年份:2015
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$ 30万 - 项目类别:
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SCH: EXP: Collaborative Research: Exploring Sparsity and Spectral-Temporal Decomposition in Real-Time Network Modulation for Intractable Epilepsy
SCH:EXP:合作研究:探索顽固性癫痫实时网络调制中的稀疏性和频谱-时间分解
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1406447 - 财政年份:2014
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$ 30万 - 项目类别:
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CIF: Medium: Collaborative Research: Interference-Aware Cooperation via Structured Codes: Creating an Empirical Cycle
CIF:媒介:协作研究:通过结构化代码进行干扰感知合作:创建经验循环
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1302630 - 财政年份:2013
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A Proposal to Support Students and Young Scientists in 2006 IEEE Communication Theory Workshop in Dorado, Puerto Rico, USA
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