Marius Schmitz , Jan Mertes , Daniel Lindenschmitt , Matthias Klar , Hans D. Schotten , Jan C. Aurich
{"title":"The applications of joint communication and sensing in manufacturing: a 6G technology","authors":"Marius Schmitz , Jan Mertes , Daniel Lindenschmitt , Matthias Klar , Hans D. Schotten , Jan C. Aurich","doi":"10.1016/j.procir.2025.01.030","DOIUrl":null,"url":null,"abstract":"<div><div>Joint Communication and Sensing (JC AS), a key feature of future 6G networks, integrates radar technology into wireless communication networks, offering transformative potential for manufacturing systems. As manufacturing systems become increasingly reliant on real-time data and precise localization, JCAS presents a significant advancement over current technologies. Despite its potential, the application of JCAS in manufacturing has been poorly explored, particularly in how it can enhance cyber-physical production systems (CPPS). This paper aims to bridge this gap by evaluating the potential applications of JCAS in manufacturing and identifying key performance indicators (KPIs) that are critical for its integration. Potential use cases in manufacturing are categorized, focusing on two high-impact scenarios: Enhanced closed-loop motion control and the applications in an industrial metaverse. By outlining the challenges and future research directions for JCAS integration, this paper provides a roadmap for fully leveraging this technology in manufacturing, potentially revolutionizing the manufacturing industry.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"132 ","pages":"Pages 178-183"},"PeriodicalIF":0.0000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Procedia CIRP","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2212827125000307","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Joint Communication and Sensing (JC AS), a key feature of future 6G networks, integrates radar technology into wireless communication networks, offering transformative potential for manufacturing systems. As manufacturing systems become increasingly reliant on real-time data and precise localization, JCAS presents a significant advancement over current technologies. Despite its potential, the application of JCAS in manufacturing has been poorly explored, particularly in how it can enhance cyber-physical production systems (CPPS). This paper aims to bridge this gap by evaluating the potential applications of JCAS in manufacturing and identifying key performance indicators (KPIs) that are critical for its integration. Potential use cases in manufacturing are categorized, focusing on two high-impact scenarios: Enhanced closed-loop motion control and the applications in an industrial metaverse. By outlining the challenges and future research directions for JCAS integration, this paper provides a roadmap for fully leveraging this technology in manufacturing, potentially revolutionizing the manufacturing industry.