{"title":"Security-Reliability Analysis for Adaptive Semi-Grant-Free Transmissions","authors":"Long Ma;Yuan Zhang","doi":"10.1109/JSYST.2024.3378699","DOIUrl":null,"url":null,"abstract":"Internet of Things (IoT) devices frequently encounter various challenges, including limited power, spectrum, and memory resources, as well as harsh environments conditions. Therefore, the development of an efficient transmission scheme is crucial for ensuring reliable and secure communication in IoT networks. In this article, an adaptive semi-grant-free (SGF) transmission scheme is proposed for reliable uplink nonorthogonal multiple access systems with enhanced security, in which a ratio-based user scheduling criterion and a hybrid successive interference cancellation technique are employed to suppress the activity of untrusted nodes while ensuring reliable transmission. To evaluate the superiority of the adaptive scheme, a conventional static transmission scheme and a worst-case eavesdropping scenario are used as benchmarks. Simulation results show that the adaptive scheme outperforms the conventional schemes in terms of outage and intercept probability. In addition, the closed-form results of grant-based user's and grant-free user's outage probability and untrusted node's intercept probability are derived. Compared to existing literature, this work provides a comprehensive view of security-reliability tradeoff analysis of SGF transmissions.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"18 2","pages":"1080-1091"},"PeriodicalIF":4.0000,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Systems Journal","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10499802/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Internet of Things (IoT) devices frequently encounter various challenges, including limited power, spectrum, and memory resources, as well as harsh environments conditions. Therefore, the development of an efficient transmission scheme is crucial for ensuring reliable and secure communication in IoT networks. In this article, an adaptive semi-grant-free (SGF) transmission scheme is proposed for reliable uplink nonorthogonal multiple access systems with enhanced security, in which a ratio-based user scheduling criterion and a hybrid successive interference cancellation technique are employed to suppress the activity of untrusted nodes while ensuring reliable transmission. To evaluate the superiority of the adaptive scheme, a conventional static transmission scheme and a worst-case eavesdropping scenario are used as benchmarks. Simulation results show that the adaptive scheme outperforms the conventional schemes in terms of outage and intercept probability. In addition, the closed-form results of grant-based user's and grant-free user's outage probability and untrusted node's intercept probability are derived. Compared to existing literature, this work provides a comprehensive view of security-reliability tradeoff analysis of SGF transmissions.
期刊介绍:
This publication provides a systems-level, focused forum for application-oriented manuscripts that address complex systems and system-of-systems of national and global significance. It intends to encourage and facilitate cooperation and interaction among IEEE Societies with systems-level and systems engineering interest, and to attract non-IEEE contributors and readers from around the globe. Our IEEE Systems Council job is to address issues in new ways that are not solvable in the domains of the existing IEEE or other societies or global organizations. These problems do not fit within traditional hierarchical boundaries. For example, disaster response such as that triggered by Hurricane Katrina, tsunamis, or current volcanic eruptions is not solvable by pure engineering solutions. We need to think about changing and enlarging the paradigm to include systems issues.