{"title":"Strengthening Data Confidentiality in 6G Cognitive Networks Through Secrecy Rate Optimization","authors":"Umar Ghafoor","doi":"10.1109/LCOMM.2025.3537285","DOIUrl":null,"url":null,"abstract":"To address the increasing need for secure resource allocation and bandwidth management in 6th generation (6G) networks, this letter presents a novel cluster-based cognitive radio-enabled downlink hybrid access (CCRDHA) approach. Traditional methods struggle to efficiently use the spectrum, leading to the adoption of cognitive networks (CNs). In CN, licensed mobile sets (LMSs) connect to licensed towers (LTs), while cognitive mobile sets (CMSs) connect to cognitive towers (CTs) via opportunistic spectrum sensing. The CCRDHA approach combines orthogonal access (OA) and non-orthogonal access (NOA) to boost the secrecy rate (SR) in the presence of passive eavesdropper, optimize CMS access to cluster (CMSC), enhance CMS connectivity with CTs (CMSCT), fairness in CMSCT (FCMSCT), and fair power distribution (FPD). By formulating the novel problem as a mixed-integer non-linear programming (MINLP) model, solved using an <inline-formula> <tex-math>$\\epsilon $ </tex-math></inline-formula>-optimal outer approximation algorithm (OAA), CCRDHA outperforms conventional OA-CN and NOA-CN methods, improving key parameters (KPs) such as SR, CMSC, CMSCT, FCMSCT, quality of service (QoS) while reducing spectrum wastage (SW) and spectrum collision (SC).","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 4","pages":"665-668"},"PeriodicalIF":3.7000,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Communications Letters","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10859314/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"TELECOMMUNICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
To address the increasing need for secure resource allocation and bandwidth management in 6th generation (6G) networks, this letter presents a novel cluster-based cognitive radio-enabled downlink hybrid access (CCRDHA) approach. Traditional methods struggle to efficiently use the spectrum, leading to the adoption of cognitive networks (CNs). In CN, licensed mobile sets (LMSs) connect to licensed towers (LTs), while cognitive mobile sets (CMSs) connect to cognitive towers (CTs) via opportunistic spectrum sensing. The CCRDHA approach combines orthogonal access (OA) and non-orthogonal access (NOA) to boost the secrecy rate (SR) in the presence of passive eavesdropper, optimize CMS access to cluster (CMSC), enhance CMS connectivity with CTs (CMSCT), fairness in CMSCT (FCMSCT), and fair power distribution (FPD). By formulating the novel problem as a mixed-integer non-linear programming (MINLP) model, solved using an $\epsilon $ -optimal outer approximation algorithm (OAA), CCRDHA outperforms conventional OA-CN and NOA-CN methods, improving key parameters (KPs) such as SR, CMSC, CMSCT, FCMSCT, quality of service (QoS) while reducing spectrum wastage (SW) and spectrum collision (SC).
期刊介绍:
The IEEE Communications Letters publishes short papers in a rapid publication cycle on advances in the state-of-the-art of communication over different media and channels including wire, underground, waveguide, optical fiber, and storage channels. Both theoretical contributions (including new techniques, concepts, and analyses) and practical contributions (including system experiments and prototypes, and new applications) are encouraged. This journal focuses on the physical layer and the link layer of communication systems.