{"title":"Energy Efficiency Optimization in Secure Full-Duplex ISAC Systems","authors":"Xian Zhang;Wanguo Jiao;Wenhui Liu;Chenhao Qi","doi":"10.1109/LCOMM.2024.3511549","DOIUrl":null,"url":null,"abstract":"In this letter, we consider the energy efficiency (EE) of the secure full-duplex integrated sensing and communication system. The base station simultaneously performs full-duplex wireless communications and targets sensing, where one of the targets is an eavesdropper. To achieve EE maximization under the secure rate and sensing constraints, we jointly optimize the transmit and receive beamforming as well as designing artificial noise. Since this problem is non-convex, we propose an algorithm based on semi-definite relaxation, successive convex approximation and fractional programming. The results indicate that the EE is optimized while the tradeoff among sensing performance, transmit power and EE is also achieved.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 1","pages":"220-224"},"PeriodicalIF":3.7000,"publicationDate":"2024-12-04","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/10777502/","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
In this letter, we consider the energy efficiency (EE) of the secure full-duplex integrated sensing and communication system. The base station simultaneously performs full-duplex wireless communications and targets sensing, where one of the targets is an eavesdropper. To achieve EE maximization under the secure rate and sensing constraints, we jointly optimize the transmit and receive beamforming as well as designing artificial noise. Since this problem is non-convex, we propose an algorithm based on semi-definite relaxation, successive convex approximation and fractional programming. The results indicate that the EE is optimized while the tradeoff among sensing performance, transmit power and EE is also achieved.
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.