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CIF: Small: Fundamentals of Energy-Efficiency in Delay-SensitiveWireless Communications

CIF: Small: Fundamentals of Energy-Efficiency in Delay-SensitiveWireless Communications
CIF:小:延迟敏感无线通信中的能源效率基础
批准号:
1422241
负责人:
Lingjia Liu
金额:
$12.27万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-08-01 至 2016-07-31

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中文摘要
翻译
该项目旨在提高对现代无线系统和网络中延迟敏感通信的理解,其中物理层传输基于传输块。信息论,通信理论和排队论将被整合,以提供一个框架来分析无线系统的性能,联合考虑解码错误概率和延迟违规概率。具体而言,一个基于传输块的信道色散将被开发来理解有限传输块上的信道编码、信道知识反馈、调制和现代无线系统的解码错误概率之间的相互作用。混合自动重传请求(HARQ)系统的性能也将在此框架下进行分析。该项目的成果有望为支持延迟敏感流量的现代和未来无线系统和网络提供设计指导。无线设备是社会不可或缺的一部分,目前全球超过95%的人口使用无线设备。导致在延迟敏感流量下提高其性能的研究提供了改进这些设备满足用户需求的可能性。除了全球技术影响外,该项目还制定了一项教育计划,让来自不同背景的学生沉浸在令人兴奋的移动的无线通信领域。
英文摘要
This project aims to improve the understanding of delay-sensitive communications over modern wireless systems and networks where the physical layer transmission is based on transport blocks. Information theory, communication theory, and queuing theory will be integrated to provide a framework to analyze wireless system performance by jointly considering decoding error probability and delay-violation probability. To be specific, a transport block-based channel dispersion will be developed to understand the interplay among channel coding over finite transport blocks, channel knowledge feedback, modulation, and probability of decoding error for modern wireless systems. Performance of hybrid automatic repeat request (HARQ) systems will also be analyzed under this framework. The outcome of this project is expected to provide design guidance for modern and future wireless systems and networks that supports delay-sensitive traffic. Wireless devices are an integral part of society and are currently used by over 95% of the global population. Research that leads to improving their performance under delay-sensitive traffic offers the potential to improve how these devices serve the needs of their users. In addition to global technological impact, this project has an educational plan that will immerse students from various backgrounds in the exciting field of mobile wireless communications.
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会议论文
Collaborative Research: SWIFT: Intelligent Dynamic Spectrum Access (IDEA): An Efficient Learning Approach to Enhancing Spectrum Utilization and Coexistence
RINGS: Learning-Enabled Ground and Air Integrated Networks (GAINs)
Collaborative Research: MLWiNS: Deep Neural Networks Meet Physical LayerCommunications -- Learning with Knowledge of Structure
SpecEES: Collaborative Research: Enabling Spectrum and Energy-Efficient Dynamic Spectrum Access Wireless Networks using Neuromorphic Computing
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海外基金
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