CAREER: An Integrated Framework of Algebraic Universal Error Control for Network Coding: Algorithms, Complexities, and Hardware Implementations

职业：网络编码代数通用错误控制的集成框架：算法、复杂性和硬件实现

• 批准号: 1055877
• 负责人: Zhiyuan Yan
• 金额: $ 40万
• 依托单位: Lehigh University
• 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: 2011-02-01 至 2017-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1055877&HistoricalAwards=false
• 关键词: CAREER; Integrated; Framework; Algebraic; Universal

The objective of this research is to enable the adoption of network coding, a promising new network paradigm, in practical communication networks by overcoming its vulnerability to errors. The proposed approach is a complexity driven integrated framework that harnesses the intricate relation between algorithms, their complexities, and their hardware implementations. Intellectual merit: The proposed research focuses on algebraic universal error control for network coding, which is essential to ensuring the maximum throughput of network coding in the presence of errors. Existing error control schemes suffer from inferior performance, unrealistically high complexities, and inefficient hardware implementations. Jointly addressing these interplaying challenges, the proposed research is the first comprehensive investigation of network coding with error control from the perspective of complexity and hardware implementation. The proposed research will result in new error control schemes that not only achieve superior performance, but also have low complexities and efficient hardware implementations.Broader impacts: The proposed error control schemes for network coding will overcome its vulnerability to errors, and have low complexities and efficient hardware implementations. Both factors enable the adoption of network coding in practical communication networks. The integrated design methodology, techniques, and results of the proposed research can be extrapolated to the implementation of other advanced algorithms, and hence impact a wide range of communication and signal processing systems. The integrated educational program attempts to strengthen and to diversify our science and engineering workforce, as well as to bridge the gap between advanced signal processing algorithms and their efficient implementations, thus helping to maintain our nation?s technological advantage.

本研究的目的是通过克服网络编码易受错误影响的弱点，在实际通信网络中采用网络编码这种有前途的新网络范式。所提出的方法是一个复杂性驱动的集成框架，它利用了算法、它们的复杂性和它们的硬件实现之间的复杂关系。智力优势：本文研究的重点是网络编码的代数通用错误控制，这是在存在错误的情况下保证网络编码的最大吞吐量所必需的。现有的错误控制方案存在性能差、高复杂性和硬件实现效率低的问题。为了解决这些相互影响的挑战，本研究首次从复杂性和硬件实现的角度全面研究了带有错误控制的网络编码。所提出的研究将产生新的误差控制方案，这些方案不仅具有优越的性能，而且具有低复杂度和高效的硬件实现。更广泛的影响：本文提出的网络编码错误控制方案克服了其易受错误影响的缺点，并且具有较低的复杂性和高效的硬件实现。这两个因素使得在实际通信网络中采用网络编码成为可能。综合的设计方法、技术和所提出的研究结果可以外推到其他先进算法的实施中，从而影响广泛的通信和信号处理系统。综合教育计划旨在加强和多样化我们的科学和工程劳动力，并弥合先进信号处理算法与其有效实现之间的差距，从而帮助维持我们的国家？美国的技术优势。