{"title":"三维全维大规模MIMO的二维波束形成","authors":"Wenbo Zhu, H. Tuan, Y. Fang","doi":"10.1109/ICCAIS56082.2022.9990535","DOIUrl":null,"url":null,"abstract":"The paper considers the jointly 2D beamforming design for multi-user (MU) full-dimensional (3D) massive multiple-input multiple output (m-MIMO) systems to maximize the geometric mean of users’ rate (GM-rate), which yields not only users’ fairness in terms of their rate but also rational transmit powers at antennas. We develop a low-complex algorithms, which iterates closed-form expressions for computational solutions of the GM-rate maximization problem. The provided simulations confirm the viability of our development.","PeriodicalId":273404,"journal":{"name":"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"2D Beamforming for 3D Full-Dimensional Massive MIMO\",\"authors\":\"Wenbo Zhu, H. Tuan, Y. Fang\",\"doi\":\"10.1109/ICCAIS56082.2022.9990535\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper considers the jointly 2D beamforming design for multi-user (MU) full-dimensional (3D) massive multiple-input multiple output (m-MIMO) systems to maximize the geometric mean of users’ rate (GM-rate), which yields not only users’ fairness in terms of their rate but also rational transmit powers at antennas. We develop a low-complex algorithms, which iterates closed-form expressions for computational solutions of the GM-rate maximization problem. The provided simulations confirm the viability of our development.\",\"PeriodicalId\":273404,\"journal\":{\"name\":\"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCAIS56082.2022.9990535\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCAIS56082.2022.9990535","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
2D Beamforming for 3D Full-Dimensional Massive MIMO
The paper considers the jointly 2D beamforming design for multi-user (MU) full-dimensional (3D) massive multiple-input multiple output (m-MIMO) systems to maximize the geometric mean of users’ rate (GM-rate), which yields not only users’ fairness in terms of their rate but also rational transmit powers at antennas. We develop a low-complex algorithms, which iterates closed-form expressions for computational solutions of the GM-rate maximization problem. The provided simulations confirm the viability of our development.