课题基金 / 基金详情

Travel Grant for DySPAN 2008

Travel Grant for DySPAN 2008
DySPAN 2008 旅行补助金
批准号:
0821830
负责人:
Xin Liu
金额:
$1.0万
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:
2008-07-01 至 2009-06-30
关键词:

项目摘要

项目成果

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中文摘要
翻译
IEEE DySPAN是动态频谱接入领域的高质量会议。当前的无线电技术趋势有望实现“动态频谱接入”(DSA)网络,使用宽带频谱传感、实时频谱分配和获取以及无基础设施网状网络。这些趋势不仅挑战了现有的技术,也挑战了传统的“命令和控制”方法,即通过政府命令分配和许可频谱。2005年,举办了第一届DySPAN会议,以促进新的DSA技术的分析,讨论和开发。在第一届DySPAN会议的基础上,第二届DySPAN会议于2007年4月举行。这两次会议都取得了成功,将设计和制造这些设备的技术人员与负责以适应技术的方式重新构建频谱政策的频谱政策专家聚集在一起。研究结果包括对这一新兴研究领域所面临的技术和政策问题作出实质性和重要的贡献。第三次会议将于2008年10月在美国伊利诺伊州芝加哥举行。由于大多数NSF奖项的差旅支持仅限于学生(即作者),因此该基金将使获奖者不会将研究经费用于差旅。
英文摘要
IEEE DySPAN is a high quality conference in the area of dynamic spectrum access. Current radio technology trends promise to enable "Dynamic Spectrum Access" (DSA) networks, using wide-band spectrum sensing, real-time spectrum allocation and acquisition, and infrastructure-less mesh networks. Not only do these trends challenge the existing technologies, they challenge the traditional "command and control" methods of allocating and licensing spectrum by government fiat. In 2005, the first DySPAN conference was held to promote analysis, discussion and development of new DSA technologies. Built upon the momentum of the first DySPAN conference, the second DySPAN was held in Apr. 2007. Both conferences succeeded on all accounts, bringing the technologists who design and build these devices together with the spectrum policy experts charged with re-architecting spectrum policy in a manner that accommodates the technologies. The results included substantial and important contributions on technical and policy issues facing this emerging area of research. The third conference will be held in Chicago, IL, USA, in Oct. 2008. Since the travel support in most of the NSF awards is quite limited to students (who are authors), this fund will enable the awardees not to divert research funding for travel.
期刊论文(0)
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会议论文
WoU-MMA: Dwarf AGNs from Variability for the Origins of Seeds (DAVOS)
CDS&E: Detection, Instance Segmentation, and Classification for Astronomical Surveys with Deep Learning (DeepDISC)
WoU-MMA: Frequency and Abundance of Binary sUpermassive bLack holes from Optical Variability Surveys (FABULOVS)
CNS Core: Medium: Collaborative: Exploring and Exploiting Learning for Efficient Network Control: Non-Stationarity, Inter-Dependence, and Domain-Knowledge
  • 批准号:
    1901218
  • 项目类别:
    Standard Grant
  • 资助金额:
    $33.13万
  • 财政年份:
    2019
  • 负责人:
    Xin Liu
  • 依托单位:
海外基金