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新的URLLC时延表征方式

Non-parametric Statistical Learning for URLLC Transmission Rate ControlAbsractIntroduction二级目录三级目录author:Wenheng Zhang∗, Mahsa Derakhshani∗, Sangarapillai Lambotharan2021 ICCAbsractChallenge：in the case of limited knowledge of the channel distribution,

Resource allocation in URLLC with online learning for MobileusersAbstractIntroductionJie Zhang, Chengjian Sun and Chenyang Yang2021VTCAbstractHow to ensure the reliability with learning based solutions in a dynamic environment?online learning method w

Age of Information in an URLLC-enabledDecode-and-Forward Wireless CommunicationSystemAbstractIntroductionSystem model二、使用步骤1.引入库2.读入数据总结欢迎使用Markdown编辑器新的改变功能快捷键合理的创建标题，有助于目录的生成如何改变文本的样式插入链接与图片如何插入一段漂亮的代码片生成一个适合你的列表创建一个表格设定内容居中、居左、居右SmartyPants创建一个自定义列表如.

Title:Resource Allocation and Beamforming Design in the Short Blocklength Regime for URLLCAuthor:A. A. Nasir, H. D. Tuan, H. H. Nguyen, M. Debbah, and H. V. Poor本文与上一篇文献 link.的区别：同为MISO 结构，不关注OFDM机制，关注beamforming设计优化目标：最大化用户...

Title:Resource allocation for multi-user downlink MISO OFDMA-URLLC systemsAuthor:Walid R. Ghanem, Vahid Jamali, Yan Sun, and Robert SchoberTarget:系统架构：single cell, multiuser, downlink, OFDMA（创新）,MISO优化目标：最大化加权系统总吞吐量约束：发送bit数，packet error probability

Title:Resource Allocation in Energy-Efficient URLLC Multi-user Multicarrier AF Relay NetworksAuthor:Keshav Singh†, Meng-Lin Ku‡, and Mark F. Flanagan†学习目标：系统架构：多用户多载波AF系统性能指标：最大化能效方法：联合优化发射功率，子载波配对及分配，约束：误解码概率，总发射功率，子载波配对数学问题：非凸问题及其转化仿真结论：the impac

URLLC benefit from NOMABS OperationSymbols usedb:probability of the new packets generatingN:device numbersL: index of slotW:number of resourcesK:number of channel uses,i.e. symbols, the same for packets of each UEB: same amount of B informationR:r