NeTS-NBD Collaborative Research: Coding and Transmission Schemes for Content Download

NeTS-NBD 合作研究：内容下载的编码和传输方案

• 批准号: 0721899
• 负责人: Chandra Chekuri
• 金额: $ 19.64万
• 依托单位: University of Illinois at Urbana-Champaign
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-01 至 2010-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0721899&HistoricalAwards=false
• 关键词: NeTS; NBD; Collaborative; Research; Coding

There has been a remarkable increase in download of content provided by both traditional commercial suppliers as well those by amateurs. Users have very diverse computer equipment ranging from handheld devices to desktops, and downloaded items range from simple stock quotes to news stories to full movies. Such highly heterogeneous circumstances will be predominant in the networks of the near future. Current schemes for content download are inefficient at addressing the mentioned heterogeneity. The goal of this project is to obtain new and improved schemes that would result in better access to content for the users while improving the network utilization. The research will focus on three coding techniques to attack the problem: rateless coding at the application layer, network coding at the network layer, and collaborative coding at the physical layer. Quantitative and qualitative limitations of network and rateless coding in heterogeneous environments will be studied to develop new practical coding schemes appropriate in such circumstances. Another research direction is to investigate and analyze mechanism to make networks more uniform using physical layer collaborative transmission schemes. An assessment will be made on how this process affects the performance of the higher layer coding schemes. Broader Impact: The research, if successful, will improve the efficiency and availability of data in networks. This has the potential to benefit directly and indirectly the population at large. In addition, this collaborative research has the potential to obtain fundamental new insights at the interface of coding and information theory and combinatorial optimization. Several PhD students will be supported and trained in interdisciplinary areas and they would also obtain valuable industrial experience.

传统商业供应商和业余爱好者提供的内容下载量显着增加。用户拥有非常多样化的计算机设备，从手持设备到台式机，下载的项目范围从简单的股票报价到新闻报道再到完整的电影。这种高度异构的环境将在不久的将来的网络中占据主导地位。当前的内容下载方案在解决所提到的异构性方面效率低下。该项目的目标是获得新的和改进的方案，从而使用户更好地访问内容，同时提高网络利用率。研究将集中于解决该问题的三种编码技术：应用层的无速率编码、网络层的网络编码和物理层的协作编码。将研究异构环境中网络和无速率编码的定量和定性限制，以开发适合这种情况的新的实用编码方案。另一个研究方向是研究和分析使用物理层协作传输方案使网络更加统一的机制。将评估该过程如何影响高层编码方案的性能。更广泛的影响：这项研究如果成功，将提高网络中数据的效率和可用性。这有可能使广大人民直接和间接受益。此外，这项合作研究有可能在编码和信息论以及组合优化的界面上获得基本的新见解。几名博士生将在跨学科领域得到支持和培训，他们还将获得宝贵的行业经验。