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

克劳德·香农？S？沟通的数学理论？是为现代通信系统的发展铺平道路的里程碑式的事件。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，他的远见指导了现代通信系统几乎所有方面的实际设计，如前向纠错、频谱高效通信、多用户和符号间干扰、多天线系统、机会主义通信和联合压缩/传输。然而，尽管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。这项拟议的工作将通过更全面地理解在通信系统中应该如何使用反馈，以及在现实的延迟限制下，例如在高速无线数据中发现的反馈，人们可以从有效使用反馈中预期在延迟、复杂性和发射功率方面的量化改进，从而促进知识的进步。总之，该项目的成功完成有望为信息论领域提供新的数学工具、设计、观点和模型。本研究的目标是将信息论对反馈系统设计的洞察力、设计指导和性能界限带来。通过提供新的设计原则和反馈代码，这项研究不仅有可能推进基础科学，还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，这种改进将提高目前利用能源和射频带宽等关键资源的效率。

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.