CIF: Medium: Collaborative Research: Feedback Communication: Models, Designs, and Fundamental Limits

CIF：媒介：协作研究：反馈沟通：模型、设计和基本限制

• 批准号: 1513858
• 负责人: Aaron Wagner
• 金额: $ 39.28万
• 依托单位: Cornell University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-06-01 至 2019-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1513858&HistoricalAwards=false
• 关键词: CIF; Medium; Collaborative; Research; Feedback

Claude Shannon?s ?A Mathematical Theory of Communication? is the landmark event that paved the way for the development of modern communication systems. Shannon analyzed the fundamental redundancy that must be added to data in order to achieve reliable communication in the presence of noise. Since then his vision has guided the practical design of virtually all aspects of modern communication systems such as forward error correction, spectrally-efficient communication, multiuser and inter-symbol interference, multiple-antenna systems, opportunistic communication, and joint compression/transmission. However, while feedback is present in virtually all modern communication systems, the field of information theory has had relatively little impact on how feedback is employed in practice. The proposed work will advance knowledge by developing a more complete understanding of how feedback should be employed in communication systems and what quantitative improvements in delay, complexity, and transmitted power one can expect from its effective use, under realistic delay constraints such as those found in high-speed wireless data. In summary, the successful completion of the project is expected to contribute new mathematical tools, designs, viewpoints, and models to the field of information theory.The goal of this research is to bring the insight, design guidance, and performance bounds for which information theory is known to bear on the design of systems with feedback. By providing new design principles and feedback codes, this research has the potential not only to advance basic science but also to improve the efficiency and reliability of our communications infrastructure, including consumer technology such as WiFi and smartphones. Given the proliferation of personal communication devices, such improvements would augment the efficiency with which crucial resources such as energy and radio frequency bandwidth are currently utilized.

克劳德·香农的《通信的数学理论》是为现代通信系统的发展铺平道路的里程碑事件。香农分析了必须添加到数据中的基本冗余，以便在存在噪声的情况下实现可靠​​的通信。从那时起，他的愿景几乎指导了现代通信系统所有方面的实际设计，例如前向纠错、频谱效率通信、多用户和符号间干扰、多天线系统、机会通信和联合压缩/传输。然而，虽然反馈几乎存在于所有现代通信系统中，但信息论领域对如何在实践中使用反馈的影响相对较小。 拟议的工作将通过更全面地理解如何在通信系统中使用反馈以及在实际延迟约束（例如在高速无线数据。总之，该项目的成功完成有望为信息论领域贡献新的数学工具、设计、观点和模型。这项研究的目标是为信息论领域带来洞察、设计指导和性能界限。众所周知，理论与反馈系统的设计有关。通过提供新的设计原理和反馈代码，这项研究不仅有可能推动基础科学的发展，而且有可能提高我们通信基础设施的效率和可靠性，包括 WiFi 和智能手机等消费技术。鉴于个人通信设备的激增，此类改进将提高目前能源和射频带宽等关键资源的利用效率。