CIF: Small: Optimizing Two-way Communications with Feedback

CIF：小：通过反馈优化双向通信

• 批准号: 1620794
• 负责人: Besma Smida
• 金额: $ 13.94万
• 依托单位: University of Illinois at Chicago
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-08-15 至 2017-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1620794&HistoricalAwards=false
• 关键词: CIF; Small; Optimizing; Two; way

To achieve high data rates over wireless communication channels, feedback has customarily been used either to learn the channel state information, or to request the re-transmission of a failed reception. Most studies of feedback have focused on a one-way perspective, meaning data travels in one direction, and feedback -- typically assumed to be perfect -- in the other. This project extends beyond perfect one-way feedback to study noisy feedback in two-way time-varying networks. In modern two-way networks, feedback travels over the same channel as the data in the opposite direction, resulting in a tradeoff between improving rates in one direction and feeding back information to improve rates in the other. This tradeoff is affected by the rate of channel time-variation: no variation enhances the value of the channel state information feedback, whereas rapid variation renders such feedback to the transmitter outdated. If re-transmissions are needed, the re-transmitted messages may be judiciously combined using methods similar to network coding, or they may be collaboratively re-transmitted by several users, leading to additional and interrelated throughput tradeoffs. This research will develop a foundation for the study of feedback in the context of two-way time-varying wireless Gaussian networks. The intellectual merit lies in proposing a unified framework that captures the key tradeoffs particular to two-way networks and the presence of different types of feedback, including quantized channel state information (Q-CSI), Automatic Repeat reQuest (ARQ), or extensions and combinations thereof. This research will rely on, and contribute to, communication and information theory. Given the ubiquity of two-way wireless communications, this research seeks to significantly increase the information rate of future wireless networks. The project comprises outreach components through mentoring students, integrating theory with practice, and extending the impact of the investigator's research and teaching to broader audiences.

为了实现高度数据速率，与无线通信渠道相比，反馈通常被用来学习渠道状态信息，或者要求重新传输失败的接收。 大多数反馈研究都集中在单向视角上，这意味着数据向一个方向传播，而反馈（通常认为是完美的）。 该项目超出了完美的单向反馈，可以在双向时变网络中研究嘈杂的反馈。 在现代的双向网络中，反馈与相反方向的数据相同的渠道传播，从而在一个方向上提高速率和反馈信息以提高速率以提高速率之间的折衷。这种权衡受到渠道时间变化速率的影响：没有变化增强了渠道状态信息反馈的价值，而快速变化则使对发射器的反馈产生过时。如果需要重新输送，则可以使用类似于网络编码的方法明智地合并重新传输消息，或者可能由几个用户进行协作重新传输，从而导致其他相互关联的吞吐量交易。这项研究将在双向时变无线高斯网络的背景下为研究反馈的研究奠定基础。知识分子的优点在于提出一个统一的框架，该框架捕获了特定于双向网络的关键权衡以及存在不同类型的反馈，包括量化的渠道状态信息（Q-CSI），自动重复请求（ARQ）或扩展及其组合。 这项研究将依靠并促进通信和信息理论。鉴于双向无线通信的普遍性，这项研究旨在显着提高未来无线网络的信息率。该项目包括通过指导学生，将理论与实践相结合，并将研究者的研究和教学的影响扩展到更广泛的受众的影响。