Effective age of information in real-time wireless feedback control systems

来源 :中国科学:信息科学(英文版) | 被引量 : 0次 | 上传用户:xdh188
下载到本地 , 更方便阅读
声明 : 本文档内容版权归属内容提供方 , 如果您对本文有版权争议 , 可与客服联系进行内容授权或下架
论文部分内容阅读
Ultra-reliable and low-latency communication(URLLC)is one of the most important scenarios in forthcoming fifth generation(5G)cellular networks to ensure timely exchange of information and realize real-time wireless control.In URLLC,timely information update needs to be guaranteed since control performance,e.g.,control cost and stability,is directly determined by timely control information update.In this paper,we introduce an effective age of information(EAoI)to evaluate the timeliness of information update in control process.We consider the control process with two phases:sensor to controller phase and controller to actuator phase.We adopt first-generate-first-serve(FGFS)M/M/1/1 → M/M/1/2 and FGFS M/M/1/1* → M/M/1/2* tandem queuing models to represent control process and we use finite-state Markov chains to describe control information updates.By studying state transitions,we calculate the average EAoI for both tandem queuing models.More importantly,we analyze throughput of wireless control systems and its relationship with average EAoI,which provides a guideline for URLLC system design in real-time feedback control systems.Simulation results show the advantage of using EAoI.
其他文献
Multiple instance learning (MIL) assigns a single class label to a bag of instances tailored for some real-world applications such as drug activity prediction.C
期刊
With the significant development of unmanned aerial vehicles (UAVs) technologies,a rapid increase on the use of UAV swarms in a wide range of civilian and emerg
To realize the high-efficiency acquisition of environmental mechanical energy,traditional triboelectric nanogenerators (TENGs) based on contact-separation consi
Dear editor,rnLow-rank tensor recovery(LRTR)[1]is a natural higher-order generalization of the compressed sensing(CS)[2]and the low-rank matrix recovery(LRMR)[3
期刊
Realization of robust quantum computing is a tremendous task.On one hand,one must reduce errors as many as pos-sible using various means[1-3];on the other hand,
期刊
近年来,北京汽车股份有限公司汽车研究院结合自主研发高端人才培养需求的实际,在研发人才培养工作方面不断创新,探索并形成了具有汽车研发特色的“匠研·隧穿”研发人才培养
期刊
We present neural compositing,a deep-learning based method for augmented reality rendering,which uses convolutional neural networks to composite rendered layers
2020年10月民政部召开加强乡镇(街道)社会工作人才队伍建设推进会,作出“十四五”期间实现乡镇(街道)社工站全覆盖的工作部署,中共中央办公厅、国务院办公厅印发《关于加快推
期刊
In software development,it is easy to introduce code smells owing to the complexity of projects and the negligence of programmers.Code smells reduce code compre