课题基金 / 基金详情

NeTS: Collaborative Research: Cognitive Capacity Harvesting Networks

NeTS: Collaborative Research: Cognitive Capacity Harvesting Networks
NeTS:协作研究:认知能力收获网络
批准号:
1147851
负责人:
Pan Li
金额:
$17.86万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-09-01 至 2014-08-31

项目摘要

项目成果

Pan Li的其他基金

相似基金

相关文献

中文摘要
翻译
由于智能手机等智能设备提供的应用日益多样化,传统的无线蜂窝系统等电信系统已不能满足日益增长的业务需求,也不能有效应对无线系统可用频谱不足或拥塞的问题。另一方面,巨大的时间和空间网络资源,如频谱和计算能力,严重未被利用。显然,如何主动地收获这些剩余资源,并利用它们来支持多样化的用户流量是一个重要而具有挑战性的研究方向。虽然认知无线电网络正在解决这个紧迫的问题,但缺乏可行的网络架构来充分利用机会主义频谱接入,并且存在许多实际设计问题需要解决。在该项目中,PI提出了一种灵活的认知容量收获(CCH)网络架构,以智能地在时间和空间上收获网络资源,并开发相应的技术来有效地支持用户的服务。此外,CCH网络沿着新发展的网络技术可以使非认知设备从认知无线电网络中获得显著的益处,并为认知无线电网络的设计提供了创新的方法。此外,该项目的研究开辟了一个新的思想流派,更好地利用剩余的网络资源,并可能改变下一代电信系统的设计方法。最后,该项目涉及国际合作伙伴,可以加强教育计划中的国际成分,并准备更具竞争力的劳动力。
英文摘要
Due to the emergence of ever increasing diversified applications provided by the smart devices such as smart phones, traditional telecommunications systems such as the wireless cellular systems no longer meet the ever exploding traffic demand, and cannot effectively deal with the shortage of available spectrum or congestion over wireless systems. On the other hand, tremendous temporal and spatial network resources, such as spectrum and computational capability, are severely under-utilized. Obviously, how to proactively harvest such residual resources and utilize them opportunistically to support diversified user traffic is an important yet challenging research direction. Although cognitive radio networks are to address this pressing issue, there is lack of viable network architecture in taking full advantage of the opportunistic spectrum access and there exist many practical design issues to be resolved. In this project, the PIs propose a flexible Cognitive Capacity Harvesting (CCH) network architecture to intelligently harvest network resources in both time and space and develop the corresponding technologies to support users' services effectively. Moreover, the CCH network along with the newly developed networking technologies can enable non-cognitive devices to significantly gain benefits from cognitive radio networks and provides innovative approaches to the cognitive radio networks design. Furthermore, this project research opens a new school of thoughts in better utilizing the residual network resources and potentially changes the design approaches for next-generation telecommunications systems. Finally, this project involves the international partners and can enhance the international components in the educational program and prepare more competitive workforce.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Collaborative Research: CIF-Medium: Privacy-preserving Machine Learning on Graphs
  • 批准号:
    2402816
  • 项目类别:
    Standard Grant
  • 资助金额:
    $40.0万
  • 财政年份:
    2024
  • 负责人:
    Pan Li
  • 依托单位:
CAREER: Modern Machine Learning on Graphs: From Theory to Practice
  • 批准号:
    2239565
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $60.0万
  • 财政年份:
    2023
  • 负责人:
    Pan Li
  • 依托单位:
CAREER: Multi-Radio Multi-Channel Multi-Hop Cellular Networks: Throughput and Energy Consumption Optimization
  • 批准号:
    1566479
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $32.1万
  • 财政年份:
    2015
  • 负责人:
    Pan Li
  • 依托单位:
海外基金