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EARS: Collaborative Research: Full Duplex for Cognitive Networks

EARS: Collaborative Research: Full Duplex for Cognitive Networks
EARS:协作研究:认知网络的全双工
批准号:
1547306
负责人:
Kannan Srinivasan
金额:
$20.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-01-01 至 2018-12-31

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项目成果

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中文摘要
翻译
随着用于数据通信的新频谱的出现,开发认知网络技术变得越来越重要,这种技术可以在任何可用的时间机会地使用频谱,并根据需要使用不同的无线协议。全双工无线是一项令人兴奋的新技术,它允许一个节点在同一频谱上同时发送和接收。尽管取得了重大进展,但全双工无线的现有工作主要集中在窄带生产无线系统,如Wi-Fi和ZigBee。该项目旨在开发新的系统和算法,以支持认知网络的全双工和不同的无线技术。该研究将纳入本科和研究生课程,并广泛传播给研究人员、从业人员、政策制定者、高中生、家长和教师。该项目开发的技术(i)超越窄带,使用新颖的抵消机制,在更宽的频段上实现传感传输;(ii)支持在接收LTE的同时传输Wi-Fi的交叉技术;(iii)通过重新访问上层协议设计,将物理层的进步转化为端到端性能优势。这三个推力将使一个整体的全双工认知无线电平台。
英文摘要
As new spectrum for data communication becomes available, it is increasingly important to develop cognitive network technologies that can opportunistically use spectrum whenever available and speak different wireless protocols on demand. Full duplex wireless is an exciting new technology that allows a node to send and receive simultaneously on the same spectrum. Despite significant progress, existing work on full duplex wireless focuses on narrowband production wireless systems, such as Wi-Fi and ZigBee. This project aims to develop novel systems and algorithms to embrace full duplex for cognitive networks and support different wireless technologies. The research will be integrated into undergraduate and graduate curriculum, and disseminated broadly to researchers, practitioners policy makers, high school students, parents, and teachers.The project develops techniques that (i) go beyond narrowband and use novel cancellation mechanisms to enable transmit-while-sensing on a wider band spectrum, (ii) support cross technologies that transmit Wi-Fi while receiving LTE and vice versa, and (iii) translate physical layer advances to end-to-end performance benefits by re-visiting upper-layer protocol design. These three thrusts will enable a holistic full duplex cognitive radio platform.
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  • 批准号:
    2128567
  • 项目类别:
    Standard Grant
  • 资助金额:
    $32.5万
  • 财政年份:
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  • 依托单位:
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    2007581
  • 项目类别:
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  • 资助金额:
    $50.0万
  • 财政年份:
    2020
  • 负责人:
    Kannan Srinivasan
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NeTS: Small: Infrastructure-free Robust Relative Localization of Vehicles on the Road
  • 批准号:
    1618520
  • 项目类别:
    Standard Grant
  • 资助金额:
    $51.6万
  • 财政年份:
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  • 负责人:
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  • 依托单位:
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  • 批准号:
    1254032
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $54.66万
  • 财政年份:
    2013
  • 负责人:
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  • 依托单位:
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