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EAGER: An Exploratory Study Toward Robust Free Space Optical Networks

EAGER: An Exploratory Study Toward Robust Free Space Optical Networks
EAGER:对鲁棒自由空间光网络的探索性研究
批准号:
1145446
负责人:
Shiwen Mao
金额:
$15.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-01-01 至 2013-12-31

项目摘要

项目成果

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中文摘要
翻译
自由空间光纤(FSO)提供了一种经济高效、免许可、高带宽和远距离的解决方案,以满足不断增长的无线网络容量和可扩展性需求。该项目旨在从网络和跨层优化的角度开发健壮的FSO网络技术。将通过以下方法解决各种网络动态问题。(I)对于大时间尺度的动力学,将基于代数连通性的概念来研究网络规划和拓扑优化。(Ii)对于中时间尺度动态,将开发有效的负载均衡和自适应多路径路由。(Iii)对于小时间尺度动态,将研究信道估计以实现速率自适应和最优接收器设计。波长分集也将被用于分集-多路复用的权衡。如果成功,该项目将使可扩展的无线接入网络具有多吉比特的速率,以适应预计的无线数据增长。项目成果将被传播并纳入奥本大学无线工程课程。PIS将努力让REU的学生参与进来,并参加奥本?S老虎营,向K-12学生进行外展。私人投资机构与HBCU在研究、课程设置和招收少数族裔研究生方面进行了合作。鉴于无线数据即将出现爆炸性增长,这是一个及时的项目。由于缺乏公共领域的测量数据和本研究采用的新方法,该项目具有很高的风险。这个项目也有很高的回报。如果成功,它可以为高速率、长距离和可扩展的无线接入网络带来急需的技术。
英文摘要
Free Space Optics (FSO) provide a cost-effective, license-free, high-bandwidth and long-range solution to meet the escalating demand for wireless network capacity and scalability. This project aims to develop technologies for robust FSO networks from the network and cross-layer optimization perspective. Various network dynamics will be addressed with the following approaches. (i) For dynamics at large timescales, network planning and topology optimization will be investigated based on the concept of algebraic connectivity. (ii) For mid-timescale dynamics, effective load balancing and adaptive multipath routing will be developed. (iii) For small timescale dynamics, channel estimation will be investigated to enable rate adaptation and optimal receiver design. Wavelength diversity will also be exploited for the diversity-multiplexing tradeoff.If successful, this project will enable scalable wireless access networks with multi-gigabit rates, to accommodate the predicted increase in wireless data. Project outcomes will be disseminated and incorporated into the Auburn University Wireless Engineering curriculum. The PIs will strive to involve REU students, and to participate in Auburn?s TIGERs Camp for outreach to K-12 students. The PIs have collaborations with an HBCU on research, curriculum, and recruiting minority graduate students.This is a timely project given the imminent explosive increase in wireless data. This project is of high risk, due to the lack of measurement data in the public domain and the novel approach taken in this research. This project is also of high payoff. If successful, it can bring about the much needed technologies for high rate, long distance, and scalable wireless access networks.
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Collaborative Research: IMR: MM-1A: Functional Data Analysis-aided Learning Methods for Robust Wireless Measurements
  • 批准号:
    2319342
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $40.0万
  • 财政年份:
    2023
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    Shiwen Mao
  • 依托单位:
Collaborative Research: CCSS: When RFID Meets AI for Occluded Body Skeletal Posture Capture in Smart Healthcare
  • 批准号:
    2245608
  • 项目类别:
    Standard Grant
  • 资助金额:
    $24.0万
  • 财政年份:
    2023
  • 负责人:
    Shiwen Mao
  • 依托单位:
Collaborative Research: SCH: AI-driven RFID Sensing for Smart Health Applications
  • 批准号:
    2306789
  • 项目类别:
    Standard Grant
  • 资助金额:
    $30.0万
  • 财政年份:
    2023
  • 负责人:
    Shiwen Mao
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RINGS: l-RIM: Learning based Resilient Immersive Media-Compression, Delivery, and Interaction
  • 批准号:
    2148382
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $99.33万
  • 财政年份:
    2022
  • 负责人:
    Shiwen Mao
  • 依托单位:
海外基金