{"title":"A probabilistic Grant Free scheduling model to allocate resources for eXtreme URLLC applications","authors":"S. Eum, S. Arakawa, M. Murata","doi":"10.1109/LATINCOM56090.2022.10000540","DOIUrl":null,"url":null,"abstract":"Ultra-Reliable Low-Latency Communication (URLLC) in 5G demands 0. 5ms latency for end-to-end one-way transmission including a scheduling process within the tight latency budget. For this reason, a Grant-Free (GF) scheduling model has intuitively appealed to 5G research community. In 6G, this communication paradigm coined eXtreme ultra-reliable and low-latency communication (xURLLC) is expected to demand even tougher requirements, which seems to make the GF scheduling not optional but mandatory for 6G xURLLC.In this paper we propose a probabilistic GF scheduling model to allocate resource for URLLC applications. The nature of a GF scheduling model naturally resolves the latency issue raised in URLLC, and the reliability issue can be under control by tuning various parameters including radio resources we allocate.","PeriodicalId":221354,"journal":{"name":"2022 IEEE Latin-American Conference on Communications (LATINCOM)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE Latin-American Conference on Communications (LATINCOM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LATINCOM56090.2022.10000540","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Ultra-Reliable Low-Latency Communication (URLLC) in 5G demands 0. 5ms latency for end-to-end one-way transmission including a scheduling process within the tight latency budget. For this reason, a Grant-Free (GF) scheduling model has intuitively appealed to 5G research community. In 6G, this communication paradigm coined eXtreme ultra-reliable and low-latency communication (xURLLC) is expected to demand even tougher requirements, which seems to make the GF scheduling not optional but mandatory for 6G xURLLC.In this paper we propose a probabilistic GF scheduling model to allocate resource for URLLC applications. The nature of a GF scheduling model naturally resolves the latency issue raised in URLLC, and the reliability issue can be under control by tuning various parameters including radio resources we allocate.