{"title":"Secure Transmission in IRS and AN-Assisted MISO System: Maximizing Secrecy Energy Efficiency","authors":"Panpan Xu;Weijie Tan;Zhenling Li;Chunguo Li;Rui Zhao","doi":"10.1109/LCOMM.2025.3545446","DOIUrl":null,"url":null,"abstract":"In this letter, we investigate the maximization of secrecy energy efficiency (SEE) for multiple-input single-output (MISO) system assisted by artificial noise (AN) and an intelligent reflecting surface (IRS), in the presence of multiple eavesdroppers. To solve the complex and non-convex fractional programming problem of SEE maximization, we design an efficient method based on the Dinkelbach algorithm and alternative optimization, which divides the solving process into an outer algorithm and an inner algorithm. For the outer algorithm, we introduce the Dinkelbach operator to transform the fractional programming problem into a tractable subtractive form, involving the beamforming (BF) vector, AN vector, and IRS reflecting phase shift. In the inner algorithm, the integer problem is decomposed into two simpler sub-problems, then sub-optimal solutions can be obtained by iteratively optimizing the sub-problems. The simulation results verify that using AN can efficiently enhance the SEE in IRS-aided MISO systems, and the advantage of incorporating AN becomes even more pronounced in the presence of multiple eavesdroppers.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 4","pages":"858-862"},"PeriodicalIF":3.7000,"publicationDate":"2025-02-25","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/10903207/","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 investigate the maximization of secrecy energy efficiency (SEE) for multiple-input single-output (MISO) system assisted by artificial noise (AN) and an intelligent reflecting surface (IRS), in the presence of multiple eavesdroppers. To solve the complex and non-convex fractional programming problem of SEE maximization, we design an efficient method based on the Dinkelbach algorithm and alternative optimization, which divides the solving process into an outer algorithm and an inner algorithm. For the outer algorithm, we introduce the Dinkelbach operator to transform the fractional programming problem into a tractable subtractive form, involving the beamforming (BF) vector, AN vector, and IRS reflecting phase shift. In the inner algorithm, the integer problem is decomposed into two simpler sub-problems, then sub-optimal solutions can be obtained by iteratively optimizing the sub-problems. The simulation results verify that using AN can efficiently enhance the SEE in IRS-aided MISO systems, and the advantage of incorporating AN becomes even more pronounced in the presence of multiple eavesdroppers.
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.