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the value of the channel state information feedback, whereas rapid variation renders such feedback to the transmitter outdated.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.

为了在无线通信信道上实现高数据速率，通常使用反馈来学习信道状态信息，或者请求重新发送失败的接收。 大多数关于反馈的研究都集中在单向视角上，这意味着数据在一个方向上传播，而反馈-通常被认为是完美的-在另一个方向上。 该项目扩展到完美的单向反馈，研究双向时变网络中的噪声反馈。 在现代双向网络中，反馈在与数据相反的方向上通过相同的信道传播，导致在一个方向上提高速率和反馈信息以提高另一个方向上的速率之间进行权衡。这种折衷受信道时变速率的影响：没有变化会增强信道状态信息反馈的值，而快速变化会使发送器的这种反馈过时。如果需要重传，则可以使用类似于网络编码的方法明智地组合重传的消息，或者可以由若干用户协作地重传它们，从而导致附加的和相互关联的吞吐量折衷。本研究将为双向时变无线高斯网络中反馈的研究奠定基础。智力上的优点在于提出了一个统一的框架，该框架捕获了双向网络特有的关键权衡以及不同类型反馈的存在，包括量化信道状态信息（Q-CSI）、自动重传请求（ARQ）或其扩展和组合。 这项研究将依赖于，并有助于，通信和信息理论。鉴于双向无线通信的普遍性，本研究旨在显着提高未来无线网络的信息速率。该项目包括通过指导学生、理论与实践相结合以及将调查员的研究和教学的影响扩大到更广泛的受众等外联组成部分。