{"title":"混合 IRS 辅助 AF 中继无线网络的波束成形设计","authors":"Xuehui Wang, Yifan Zhao, Feng Shu, Yan Wang","doi":"10.48550/arXiv.2311.13893","DOIUrl":null,"url":null,"abstract":"In this paper, a hybrid IRS-aided amplify-and-forward (AF) relay wireless network is put forward, where the hybrid IRS is made up of passive and active elements. For maximum signal-to-noise ratio (SNR), a low-complexity method based on successive convex approximation and fractional programming (LC-SCA-FP) is proposed to jointly optimize the beamforming matrix at AF relay and the reflecting coefficient matrices at IRS. Simulation results verify that the rate achieved by the proposed LC-SCA-FP method surpass those of the benchmark schemes, namely the passive IRS-aided AF relay and only AF relay network.","PeriodicalId":10,"journal":{"name":"ACS Central Science","volume":"18 3","pages":""},"PeriodicalIF":10.4000,"publicationDate":"2023-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Beamforming Design for Hybrid IRS-aided AF Relay Wireless Networks\",\"authors\":\"Xuehui Wang, Yifan Zhao, Feng Shu, Yan Wang\",\"doi\":\"10.48550/arXiv.2311.13893\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a hybrid IRS-aided amplify-and-forward (AF) relay wireless network is put forward, where the hybrid IRS is made up of passive and active elements. For maximum signal-to-noise ratio (SNR), a low-complexity method based on successive convex approximation and fractional programming (LC-SCA-FP) is proposed to jointly optimize the beamforming matrix at AF relay and the reflecting coefficient matrices at IRS. Simulation results verify that the rate achieved by the proposed LC-SCA-FP method surpass those of the benchmark schemes, namely the passive IRS-aided AF relay and only AF relay network.\",\"PeriodicalId\":10,\"journal\":{\"name\":\"ACS Central Science\",\"volume\":\"18 3\",\"pages\":\"\"},\"PeriodicalIF\":10.4000,\"publicationDate\":\"2023-11-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Central Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.48550/arXiv.2311.13893\",\"RegionNum\":1,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Central Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.48550/arXiv.2311.13893","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
摘要
本文提出了一种混合 IRS 辅助放大前向（AF）中继无线网络，其中混合 IRS 由无源和有源元件组成。为了获得最大信噪比（SNR），本文提出了一种基于逐次凸逼近和分数编程（LC-SCA-FP）的低复杂度方法，用于联合优化 AF 中继的波束成形矩阵和 IRS 的反射系数矩阵。仿真结果验证了所提出的 LC-SCA-FP 方法实现的速率超过了基准方案，即无源 IRS 辅助 AF 中继和仅 AF 中继网络。
Beamforming Design for Hybrid IRS-aided AF Relay Wireless Networks
In this paper, a hybrid IRS-aided amplify-and-forward (AF) relay wireless network is put forward, where the hybrid IRS is made up of passive and active elements. For maximum signal-to-noise ratio (SNR), a low-complexity method based on successive convex approximation and fractional programming (LC-SCA-FP) is proposed to jointly optimize the beamforming matrix at AF relay and the reflecting coefficient matrices at IRS. Simulation results verify that the rate achieved by the proposed LC-SCA-FP method surpass those of the benchmark schemes, namely the passive IRS-aided AF relay and only AF relay network.
期刊介绍：
ACS Central Science publishes significant primary reports on research in chemistry and allied fields where chemical approaches are pivotal. As the first fully open-access journal by the American Chemical Society, it covers compelling and important contributions to the broad chemistry and scientific community. "Central science," a term popularized nearly 40 years ago, emphasizes chemistry's central role in connecting physical and life sciences, and fundamental sciences with applied disciplines like medicine and engineering. The journal focuses on exceptional quality articles, addressing advances in fundamental chemistry and interdisciplinary research.
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