Collaborative Research: Advanced Coding Techniques for Next-Generation Optical Communications

合作研究：下一代光通信的先进编码技术

• 批准号: 1611285
• 负责人: Krishna Narayanan
• 金额: $ 20.02万
• 依托单位: Texas A&M Engineering Experiment Station
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-15 至 2020-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1611285&HistoricalAwards=false
• 关键词: Collaborative; Research; Advanced; Coding; Techniques

In recent years, there has been an explosion of data traffic over the internet. With the popularity of video streaming, cloud computing, and the rapid dissemination of user-generated content through social networks, there is no doubt that this trend will continue. In order to support these services, the data rates carried over optical transport networks which constitute the internet backbone has been constantly increasing and this trend is expected to continue. While 100 Giga bits per second optical transport networks are being deployed, even conservative estimates predict that data rates in next generation optical transport networks will increase to 400 Giga bits per second in 2016, 1 Tera bits per second in 2019 and 10 Tera bits per second in 2025. As the data rate increases, optical signal-to-noise ratio of the fiber-optic channel decreases substantially and the bit error-rate increases. This project considers the design and analysis of advanced error-correcting codes that mitigate transmission errors and provide reliable communication for internet traffic.The design and implementation of advanced channel coding techniques at extremely high data rates is very challenging due to hardware constraints. This is exacerbated by the fact that the desired code rates are high (e.g., greater than 0.8) and the target bit error rates are extremely low (e.g., on the order of 1e-15 or 10^{-15}). These constraints call for innovative ideas for the design of advanced channel coding techniques and cross-disciplinary interaction between researchers who focus on algorithm design and researchers who specialize in hardware implementation. The goal of this research effort is to design practical codes and decoders that provide large coding gains and can be implemented at speeds scaling to 10 Tera bits per second in the future. The transformative nature of the project lies in the fact that several novel classes of codes and computationally-efficient decoders will be designed and analyzed. Specifically, we will consider the following three topics - (i) the design and analysis of novel classes of spatially-coupled algebraic codes, symmetric product codes and spatially-coupled convolutional codes that have the potential to deliver large coding gains, (ii) the design and analysis of message-passing decoding algorithms for these codes that can achieve extremely high throughput with moderate hardware resources, and (iii) the design of codes and computationally-efficient soft-decision decoding algorithms that exploit the availability of soft information from the channel. Another important aspect of this project is the design methodology which leverages the close interaction between algorithm design and hardware implementation which will result in the implementation of codes and decoders on field programmable gate arrays. The broader impacts of this project will be maximized by the planned initiatives that aim to expand the scope of the telecommunications and signal processing and very large scale integration curricula at Texas A&M University and Duke University. It will also promote collaboration in the design, development and implementation of educational activities between Texas A&M University and Duke University.

近年来，互联网上的数据流量爆炸了。随着视频流，云计算的普及以及通过社交网络快速传播用户生成的内容，毫无疑问，这种趋势将继续下去。为了支持这些服务，构成互联网骨干的光学传输网络的数据速率一直在不断增加，预计这种趋势将继续下去。 While 100 Giga bits per second optical transport networks are being deployed, even conservative estimates predict that data rates in next generation optical transport networks will increase to 400 Giga bits per second in 2016, 1 Tera bits per second in 2019 and 10 Tera bits per second in 2025. As the data rate increases, optical signal-to-noise ratio of the fiber-optic channel decreases substantially and the bit error-rate increases. 该项目考虑了缓解传输错误并为Internet流量提供可靠的通信的高级错误校正代码的设计和分析。由于硬件约束，高级通道编码技术的设计和实现非常具有挑战性。所需的代码速率高（例如，大于0.8）并且目标位错误率极低（例如，按1E-15或10^{ - 15}的顺序）这一事实加剧了这一点。这些限制要求对高级渠道编码技术的设计以及专注于算法设计的研究人员与专门从事硬件实施的研究人员之间的跨学科互动进行创新思想。这项研究工作的目的是设计实用的代码和解码器，这些代码和解码器可提供较大的编码收益，并且可以以速度缩放到将来每秒10个TERA位。该项目的变革性质在于，将设计和分析几类新型的代码和计算效率解码器。 具体而言，我们将考虑以下三个主题 - （i）对空间耦合的代数代码，对称的产品代码和空间耦合的卷积代码的设计和分析，这些代码和空间耦合的卷积代码有可能提供较大的编码增长，（II）可以为这些代码和分析的量子设计和分析，以实现这些编码的设计和分析，并将其用于II的编码（II）的设计（II）的工程（II）的工具（II）的工具（II）的工具（II）的工具（II）的工具（II）的工具（II）（II）的工具（II）的工具（ii）的工具（ii）的工具（ii）的工具（II）的工具（II）的工具（II）的工具（计算效率的软性止回质解码算法可利用来自通道的软信息的可用性。该项目的另一个重要方面是设计方法，它利用算法设计与硬件实现之间的紧密相互作用，这将导致在现场可编程门数阵列上实现代码和解码器。计划的计划将最大程度地提高该项目的更广泛影响，旨在扩大德克萨斯州A＆M大学和杜克大学的电信和信号处理范围以及信号处理的范围以及非常大规模的集成课程。它还将促进德克萨斯州A＆M大学和杜克大学之间的教育活动的设计，开发和实施。