CIF: Small: Approaching Capacity in High Throughput Communication Systems with Incremental Redundancy

CIF：小：通过增量冗余接近高吞吐量通信系统的容量

• 批准号: 1618272
• 负责人: Richard Wesel
• 金额: $ 40万
• 依托单位: University of California-Los Angeles
• 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: 2016-07-15 至 2019-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1618272&HistoricalAwards=false
• 关键词: CIF; Small; Approaching; Capacity; Throughput

The growing ability to generate digital information and the hunger to consume that information create a need to communicate information at ever-higher rates. Free-space optical and millimeter wave wireless communication systems strive to achieve rates exceeding 100 Gbps. Optical fiber supports terabit-per-second communications. These systems require high-speed decoding circuits that currently sacrifice performance to meet latency requirements with available computational resources. This research develops new techniques for high-throughput communications with a goal of achieving theoretical performance limits while meeting latency requirements with reasonable complexity. In addition to providing a new path for practical solutions for high-throughput systems, the broader impacts of this research include the training of graduate students to support continued leadership of the United States in communications technology as well as hands-on research experiences for undergraduates to maintain the pipeline that will supply our country?s continuing need for diverse, well-trained, and innovative engineers.This research explores a new paradigm in which many low-complexity decoders work in parallel, decoding variable-length codes with short average block-lengths. Fixed-length codes with short block-lengths cannot approach the Shannon capacity, but variable-length codes with short average block-lengths do approach capacity. Variable-length codes are traditionally implemented with feedback so that incremental redundancy is transmitted only when requested by the receiver. This research transmits incremental redundancy without the use of feedback, utilizing techniques such as network coding and ergodicity to deliver redundancy only to those parallel decoders that need it. The problem of delivering incremental redundancy without feedback is framed as a joint source-channel coding problem with side information at the receiver. The primary goal of this research is to produce low complexity systems that can approach capacity at high throughput.

生成数字信息和消耗信息的饥饿能力日益增长的能力，需要以更高的速度传达信息。自由空间光学和毫米波无线通信系统努力达到超过100 Gbps的速率。 光纤支持每秒通信。 这些系统需要高速解码电路，这些电路目前牺牲性能，以满足可用的计算资源的潜伏要求。 这项研究开发了用于高通量通信的新技术，其目的是实现理论性能限制，同时以合理的复杂性满足延迟要求。 除了为高通量系统提供实用解决方案的新途径外，这项研究的更广泛影响还包括对研究生的培训，以支持美国在通信技术方面的持续领导以及为维持我们国家提供对多样性，良好的，创新的研究人员的持续需求的培训的本科生的动手研究经验。平行，解码的可变长度代码，平均块长度较短。 具有短长度的固定长度代码无法接近香农容量，但是具有较短平均块长度的可变长度代码确实可以接近接近能力。 传统上，可变长度代码是通过反馈实现的，因此只有在接收方要求时才会传输增量冗余。 这项研究可以在不使用反馈的情况下传递逐步冗余，并利用网络编码和奇迹性等技术仅向需要它的平行解码器提供冗余。 在没有反馈的情况下提供增量冗余的问题是作为接收器的侧面信息的联合源通道编码问题。 这项研究的主要目的是生产低复杂性系统，可以在高通量下接近容量。