ProTOMAC: Proactive Transmit Opportunity Detection at the MAC Layer for Cognitive Radio Networks

ProTOMAC:认知无线电网络 MAC 层的主动传输机会检测

基本信息

  • 批准号:
    1212491
  • 负责人:
  • 金额:
    $ 13.92万
  • 依托单位:
  • 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
  • 起止时间:
    2011-09-01 至 2012-08-31
  • 项目状态:
    已结题

项目摘要

The wide proliferation of wireless services and applications with increasing bandwidth needs is rapidly creating a spectrum shortage. However, the problem is caused primarily by inefficient legacy spectrum allocation and utilization policies, so that even when some applications suffer from lack of bandwidth, there is idle capacity in the band they are using or other bands. This project develops and demonstrates a revolutionary approach for addressing spectrum scarcity and unlocking hidden communication capacity thereby increasing the reach and utility of wireless connectivity. The non-traditional communication technique studied in this research effort detects transmission opportunities that occur when incumbent primary users enjoy signal to noise ratio values that are higher than the minimum value required to maintain their quality of service. It then judicially exploits these opportunities while preserving the current quality of service of the primary users. The project develops novel change detection methods that fuse goodness of fit tests and density estimation and similarity assessment using information theoretic methods to study network traffic and designs innovative distributed goodness of fit tests and density estimation and similarity assessment techniques implemented over an asynchronous communications network. It compares the performance of the distributed goodness of fit tests and density estimation and similarity assessment techniques with those of a new class of distributed cumulative sum (cumsum) change detection methods that it constructs generalizing cumsum methods that have been proposed in the literature in other application domains. Finally, it demonstrates experimentally the benefit of using these approaches to unlock hitherto hidden communication capacity and quantify the increase in local communication capacity created by using the new schemes.
无线服务和应用的广泛普及以及对带宽需求的不断增加正在迅速造成频谱短缺。然而,这主要是由于传统的频谱分配和利用策略效率低下造成的,因此即使某些应用在带宽不足的情况下,其所使用的频段或其他频段也存在空闲容量。该项目开发并展示了一种革命性的方法,用于解决频谱短缺和解锁隐藏的通信容量,从而增加无线连接的覆盖范围和效用。本研究中所研究的非传统通信技术检测的是当现有主要用户享受的信噪比值高于维持其服务质量所需的最小值时发生的传输机会。然后,它在保留主要用户当前服务质量的同时,公正地利用这些机会。该项目开发了新的变化检测方法,这些方法融合了拟合优度测试、密度估计和相似度评估,使用信息理论方法研究网络流量,并设计了在异步通信网络上实现的创新分布式拟合优度测试、密度估计和相似度评估技术。本文将分布拟合优度检验、密度估计和相似度评估技术的性能与一类新的分布累积和(cumsum)变化检测方法的性能进行了比较,该方法构建了在其他应用领域中文献中提出的广义累积和方法。最后,它通过实验证明了使用这些方法解锁迄今为止隐藏的通信容量并量化使用新方案所产生的本地通信容量的增加的好处。

项目成果

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Ahmed Tewfik其他文献

Guest Editorial: Introduction to the Special Issue on Machine Learning for Microarray Bioinformatics

Ahmed Tewfik的其他文献

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{{ truncateString('Ahmed Tewfik', 18)}}的其他基金

Funding for Graduate Student Travel to International Conference on Image Processing 2009, November 7-11, 2009
资助研究生参加 2009 年图像处理国际会议,2009 年 11 月 7-11 日
  • 批准号:
    0950350
  • 财政年份:
    2009
  • 资助金额:
    $ 13.92万
  • 项目类别:
    Standard Grant
ProTOMAC: Proactive Transmit Opportunity Detection at the MAC Layer for Cognitive Radio Networks
ProTOMAC:认知无线电网络 MAC 层的主动传输机会检测
  • 批准号:
    0948907
  • 财政年份:
    2009
  • 资助金额:
    $ 13.92万
  • 项目类别:
    Standard Grant
U.S.-Turkey Cooperative Research: Food Quality and Safety by Kernel Classification
美国-土耳其合作研究:按内核分类的食品质量和安全
  • 批准号:
    0352965
  • 财政年份:
    2004
  • 资助金额:
    $ 13.92万
  • 项目类别:
    Standard Grant
ITR: Generalized Ultrawideband for High Speed Networking
ITR:用于高速网络的通用超宽带
  • 批准号:
    0313224
  • 财政年份:
    2003
  • 资助金额:
    $ 13.92万
  • 项目类别:
    Standard Grant
Funding for Graduate Student Travel to ICME, August 26 - 29, 2002
资助研究生前往 ICME,2002 年 8 月 26 日至 29 日
  • 批准号:
    0227561
  • 财政年份:
    2002
  • 资助金额:
    $ 13.92万
  • 项目类别:
    Standard Grant
U.S.-Turkey Cooperative Research: Museum Audio-Visual Information Management Systems
美国-土耳其合作研究:博物馆视听信息管理系统
  • 批准号:
    9406954
  • 财政年份:
    1994
  • 资助金额:
    $ 13.92万
  • 项目类别:
    Standard Grant
Fast High Resolution Wavelet Based Magnetic Resonance Imaging
基于快速高分辨率小波的磁共振成像
  • 批准号:
    9214811
  • 财政年份:
    1992
  • 资助金额:
    $ 13.92万
  • 项目类别:
    Standard Grant
RIA: Filtered Fractal Analysis for Intelligent Systems
RIA:智能系统的滤波分形分析
  • 批准号:
    9010111
  • 财政年份:
    1990
  • 资助金额:
    $ 13.92万
  • 项目类别:
    Standard Grant

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