CIF: Small: Theory, Algorithms, and Applications of Super-Nyquist Coding

CIF：小：超奈奎斯特编码的理论、算法和应用

• 批准号: 1319828
• 负责人: Gregory Wornell
• 金额: $ 46.45万
• 依托单位: Massachusetts Institute of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-07-01 至 2017-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1319828&HistoricalAwards=false
• 关键词: CIF; Small; Theory; Algorithms; Applications

With the ever growing demand for ubiquitous connectivity and data access, there is a driving need to deploy ever more extensive and higher capacity network infrastructure---wired and wireless. With such increases in network density, the propagation environments become increasingly challenging, and new communication techniques, architectures, and protocols are needed to meet these critical challenges. Examples include intersymbol (or self-), inter-channel, intra-network, and extra-network interference. Over the years, the error-control coding community has developed a wide range of codes for efficiently mitigating the effects of noise in communication systems. Ultimately, the goal of this research can be viewed as developing a signaling architecture that efficiently and effectively transforms interference into standard, more benign noise from the perspective of the underlying code.To approach these challenges, this research develops the role of super-Nyquist signaling formats in modern coded digital communication systems. In traditional systems, the symbol rate is chosen to match the channel bandwidth. With this classical approach, the transmit pulses can be designed to be orthogonal, corresponding to signaling on independent degrees of freedom. However, in systems with super-Nyquist signaling, the symbol rate is chosen to be significantly higher than the channel bandwidth, resulting in a transmission with self-interference, whose effects can be compensated through the use of appropriate equalization. The investigation develops the role of super-Nyquist coding in a range of network scenarios, starting from simple point-to-point intersymbol-interference channel models, and progressing to richer multi-input/multi-output, multiple-access, and interference channel models. The research emphasizes the special role that such signaling plays in joint design of the physical and link layers in the protocol stack. Dual problems in source coding are also explored.

随着对无处不在的连接和数据访问的需求不断增长，迫切需要部署更广泛和更高容量的有线和无线网络基础设施。 随着网络密度的增加，传播环境变得越来越具有挑战性，需要新的通信技术、架构和协议来应对这些关键挑战。 示例包括符号间（或自）、信道间、网络内和网络外干扰。 多年来，差错控制编码界已经开发了各种各样的代码，用于有效地减轻通信系统中的噪声影响。最终，本研究的目标可以被看作是开发一个信令架构，有效地转换成标准的干扰，更良性的噪音从底层code.To方法的角度来看，这些挑战，本研究开发的超奈奎斯特信令格式在现代编码数字通信系统中的作用。 在传统系统中，选择符号率以匹配信道带宽。 利用这种经典方法，发射脉冲可以被设计为正交的，对应于独立自由度上的信令。 然而，在具有超奈奎斯特信令的系统中，符号率被选择为显著高于信道带宽，导致具有自干扰的传输，其影响可以通过使用适当的均衡来补偿。 调查开发的超奈奎斯特编码在一系列网络场景中的作用，从简单的点对点符号间干扰信道模型，并进展到更丰富的多输入/多输出，多址接入和干扰信道模型。 研究强调了这种信令在协议栈物理层和链路层的联合设计中所起的特殊作用。 本文还探讨了信源编码中的对偶问题。