课题基金 / 基金详情

On the Effective Capacity of Ultra-reliable Networks under Finite Blocklength Regime

On the Effective Capacity of Ultra-reliable Networks under Finite Blocklength Regime
有限块长体制下超可靠网络的有效容量
批准号:
410554248
负责人:
Professorin Dr.-Ing. Anke Schmeink
金额:
$0.0万
依托单位国家:
德国
项目类别:
Research Grants
财政年份:
2018
资助国家:
德国
项目状态:
已结题
起止时间:
2017-12-31 至 2022-12-31

项目摘要

项目成果

Professorin Dr.-Ing. Anke Schmeink的其他基金

相似基金

相关文献

中文摘要
翻译
超可靠低延迟通信(URLLC)是实现工业4.0的关键技术之一,但目前对这类系统的基本性能极限和优化设计原则缺乏全面的了解。鉴于传统的香农容量公式不能刻画超低时延传输,该方案旨在基于最近提出的有限块长码的容量公式来研究基于URLLC系统的基本问题。将考虑三个研究课题,包括1)URLLC系统的可达到的性能极限,2)URLLC系统的最优资源分配,以及3)能量收集URLLC系统的能量管理。该方案将带来重要的结果,如传输速率、可靠性、时延和能量之间的权衡,最优帧结构设计,信道反馈设计,以及海量接入的能量高效资源分配算法。这项建议旨在从根本上促进城市有限责任公司的研究和应用。
英文摘要
Ultra-reliable and low-latency communication (URLLC) is one of the key technologies to achieve "Industry 4.0", but nowadays a comprehensive understanding of the fundamental performance limit and optimal design principles for such systems is lacking. In light of the inability of the conventional Shannon capacity formula for characterizing ultra low-latency transmissions, this proposal aims at studying fundamental questions of URLLC based systems on the recently proposed capacity formula of finite blocklength codes. Three research subjects will be considered, including 1) Achievable performance limits of URLLC systems, 2) Optimal resource allocation for URLLC systems, and 3) Energy management in energy harvesting URLLC systems. The proposal will deliver important results such as the tradeoff between transmission rate, reliability, delay and energy, optimal frame structure design, channel feedback design, and energy efficient resource allocation algorithms for massive access. The proposal aims at fundamentally promoting both research and applications of URLLC.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Rate-Compatible Codes Based on Punctured Polar Codes for Future Wireless Applications
Performance Analysis and Optimization of Future Low Latency and Reliable Cooperative Communication
An Optimal Design and Deployment of Wireless and Optical Sensor Networks
Biologisch inspirierte informationstheoretische Methoden für eine optimale Signalübertragung
海外基金