{"title":"RIS 辅助太赫兹 OFDMA UM-MIMO 通信的峰值下行链路速率最大化和联合波束成形优化","authors":"Rami Amiri","doi":"10.1109/LWC.2024.3502237","DOIUrl":null,"url":null,"abstract":"Terahertz (THz) communications is an emerging technology for sixth generation (6G) wireless communication systems and beyond with many challenges. Reaching Terabits per second (Tpbs) channel capacity in THz-band is physically crucial to the number of antennas at the base station (BS) and reconfigurable intelligent surface (RIS) elements, and requires careful innovative planning to manipulate electromagnetic (EM) waves. Throughout this letter, we propose joint beamforming (BF) and reflecting optimization for maximizing downlink (DL) data rate in THz-band with RIS-aided orthogonal frequency division multiple access (OFDMA) and ultra-massive multiple-input multiple-output (UM-MIMO) system. Based on UM-MIMO channel model we derive, a non-convex problem is formulated to maximize the channel DL data rate. Then, we propose an alternating iterative algorithm to jointly optimize the BS BF weights, and RIS phase shift coefficients. In particular, the BS BF is solved by the gradient descent (GD) algorithm, while the RIS coefficients are solved by successive convex approximation (SCA) algorithm. Monte-Carlo simulations are carried out to verify the efficiency and performance of the proposed framework and reveal that the DL channel rate is significantly can be maximized.","PeriodicalId":13343,"journal":{"name":"IEEE Wireless Communications Letters","volume":"14 2","pages":"375-379"},"PeriodicalIF":4.6000,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Peak Downlink Rate Maximization and Joint Beamforming Optimization for RIS-Aided THz OFDMA UM-MIMO Communications\",\"authors\":\"Rami Amiri\",\"doi\":\"10.1109/LWC.2024.3502237\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Terahertz (THz) communications is an emerging technology for sixth generation (6G) wireless communication systems and beyond with many challenges. Reaching Terabits per second (Tpbs) channel capacity in THz-band is physically crucial to the number of antennas at the base station (BS) and reconfigurable intelligent surface (RIS) elements, and requires careful innovative planning to manipulate electromagnetic (EM) waves. Throughout this letter, we propose joint beamforming (BF) and reflecting optimization for maximizing downlink (DL) data rate in THz-band with RIS-aided orthogonal frequency division multiple access (OFDMA) and ultra-massive multiple-input multiple-output (UM-MIMO) system. Based on UM-MIMO channel model we derive, a non-convex problem is formulated to maximize the channel DL data rate. Then, we propose an alternating iterative algorithm to jointly optimize the BS BF weights, and RIS phase shift coefficients. In particular, the BS BF is solved by the gradient descent (GD) algorithm, while the RIS coefficients are solved by successive convex approximation (SCA) algorithm. Monte-Carlo simulations are carried out to verify the efficiency and performance of the proposed framework and reveal that the DL channel rate is significantly can be maximized.\",\"PeriodicalId\":13343,\"journal\":{\"name\":\"IEEE Wireless Communications Letters\",\"volume\":\"14 2\",\"pages\":\"375-379\"},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2024-11-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Wireless Communications Letters\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10757351/\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Wireless Communications Letters","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10757351/","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}
Peak Downlink Rate Maximization and Joint Beamforming Optimization for RIS-Aided THz OFDMA UM-MIMO Communications
Terahertz (THz) communications is an emerging technology for sixth generation (6G) wireless communication systems and beyond with many challenges. Reaching Terabits per second (Tpbs) channel capacity in THz-band is physically crucial to the number of antennas at the base station (BS) and reconfigurable intelligent surface (RIS) elements, and requires careful innovative planning to manipulate electromagnetic (EM) waves. Throughout this letter, we propose joint beamforming (BF) and reflecting optimization for maximizing downlink (DL) data rate in THz-band with RIS-aided orthogonal frequency division multiple access (OFDMA) and ultra-massive multiple-input multiple-output (UM-MIMO) system. Based on UM-MIMO channel model we derive, a non-convex problem is formulated to maximize the channel DL data rate. Then, we propose an alternating iterative algorithm to jointly optimize the BS BF weights, and RIS phase shift coefficients. In particular, the BS BF is solved by the gradient descent (GD) algorithm, while the RIS coefficients are solved by successive convex approximation (SCA) algorithm. Monte-Carlo simulations are carried out to verify the efficiency and performance of the proposed framework and reveal that the DL channel rate is significantly can be maximized.
期刊介绍:
IEEE Wireless Communications Letters publishes short papers in a rapid publication cycle on advances in the state-of-the-art of wireless communications. 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 wireless communication systems.