Dong Li, Saeed R. Khosravirad, Tao Tao, P. Baracca
{"title":"Advanced Frequency Resource Allocation for Industrial Wireless Control in 6G subnetworks","authors":"Dong Li, Saeed R. Khosravirad, Tao Tao, P. Baracca","doi":"10.1109/WCNC55385.2023.10118695","DOIUrl":null,"url":null,"abstract":"The concept of in-X subnetworks has been recently proposed to meet extreme communication requirements such as sub-millisecond latency and up to 9 nines reliability in 6th generation (6G) networks. On the other hand, many open challenges have already been recognized for this new concept, from air interface design to interference management in dense and dynamic scenarios. In this paper, we focus on subnetworks for industrial wireless control applications and propose an advanced frequency resource allocation scheme, denoted as sequential iterative subband allocation (SISA), which is designed to minimize the sum interference-to-signal ratio over all subnetwork links. Through extensive system level simulations, we evaluate the benefits of the proposed SISA scheme and compare it with the state-of-the-art. Numerical results show that SISA with interference weighting strongly outperforms a greedy distributed scheme, by reducing by half the frequency resources needed to enable 99.9% of all the subnetwork link instances to achieve reliability of 6 nines.","PeriodicalId":259116,"journal":{"name":"2023 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE Wireless Communications and Networking Conference (WCNC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCNC55385.2023.10118695","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
The concept of in-X subnetworks has been recently proposed to meet extreme communication requirements such as sub-millisecond latency and up to 9 nines reliability in 6th generation (6G) networks. On the other hand, many open challenges have already been recognized for this new concept, from air interface design to interference management in dense and dynamic scenarios. In this paper, we focus on subnetworks for industrial wireless control applications and propose an advanced frequency resource allocation scheme, denoted as sequential iterative subband allocation (SISA), which is designed to minimize the sum interference-to-signal ratio over all subnetwork links. Through extensive system level simulations, we evaluate the benefits of the proposed SISA scheme and compare it with the state-of-the-art. Numerical results show that SISA with interference weighting strongly outperforms a greedy distributed scheme, by reducing by half the frequency resources needed to enable 99.9% of all the subnetwork link instances to achieve reliability of 6 nines.