课题基金 / 基金详情

Collaborative Research: Capacity and Coding in Resource-Limited Wireless Networks

Collaborative Research: Capacity and Coding in Resource-Limited Wireless Networks
合作研究:资源有限无线网络中的容量和编码
批准号:
0729149
负责人:
Zixiang Xiong
金额:
$14.88万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2007
资助国家:
美国
项目状态:
已结题
起止时间:
2007-09-15 至 2011-08-31

项目摘要

项目成果

Zixiang Xiong的其他基金

相似基金

相关文献

中文摘要
翻译
资源有限的无线网络中的容量和编码无线网络的性能受到网络中可用资源的限制。无线网络使用的基本物理资源是带宽和能量。设计无线网络主要是以最有效的方式利用这些资源的问题。本研究分别考虑这两种资源,并通过每次关注一种资源来定义带宽受限机制和能量受限机制。在每一个制度,研究人员建议集中在一些措施的性能相关的香农容量,找到这些措施的界限,并设计实用的代码,以接近这些bounds.Treating这两个资源分开,使之有可能在许多情况下,以获得简洁,准确的容量结果,而不是数字的上限和下限。具体而言,本研究的目的是1)找到资源有限的无线网络的性能的基本边界,2)开发一个新的概念,确定性的网络容量,3)使用获得的信息理论的结果直接指导实际的代码设计,4)采用源信道编码的代码设计,和5)扩展的源信道编码方法的网络与相关的来源。
英文摘要
Capacity and Coding in Resource-Limited Wireless NetworksPerformance of wireless networks is limited by the resources available in the network. The fundamental physical resources used by wireless networks are bandwidth and energy. Designing wireless networks is mainly a question of utilizing these resources in the most efficient way possible. This research considers the two resources separately and defines the bandwidth limited regime and the energy limited regime by focusing on one resource at a time. In each regime, the investigators propose to concentrate on a few measures of performance related to the Shannon capacity, find bounds for these measures, and design practical codes to approach these bounds.Treating the two resources separately makes it possible in many cases to obtain concise, exact capacity results rather than numerical upper and lower bounds. Specifically, this research aims to 1) find fundamental bounds for performance of resource-limited wireless networks, 2) develop a new concept of deterministic capacity of networks, 3) use obtained information-theoretic results directly in guiding practical code designs, 4) employ source-channel coding in code designs, and 5) extend the source-channel coding approach to networks with correlated sources.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Collaborative Research: CIF: Small: Theory for Learning Lossless and Lossy Coding
Collaborative Research: CIF: Small: Beyond Compressed Sensing: Analog Coding for Communications
Collaborative Research: Delay and Energy: Design Tradeoffs in Spectrally Efficient Systems
CIF: Small: Multiterminal Video Coding: From Theory to Practice
国内基金
海外基金
Research on Quantum Field Theory without a Lagrangian Description
  • 批准号:
    24ZR1403900
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    SATOSHI NAWATA
  • 依托单位:
Cell Research
Cell Research
Cell Research (细胞研究)