{"title":"最大化加权和速率的MIMO下行波束成形设计","authors":"R. Agarwal, J. Cioffi","doi":"10.1109/ISITA.2008.4895555","DOIUrl":null,"url":null,"abstract":"This work studies linear transmit filter design for weighted sum-rate (WSR) maximization in the multiple input multiple output broadcast channel (MIMO-BC). The problem of finding the optimal transmit filter is non-convex and intractable to solve. Motivated by the iterative algorithm that solves for the optimal transmit and receive filters for minimizing sum-mean square error (MSE), this paper suggests to use weighted minimum mean square error (WMMSE) optimization in the MIMO-BC. The paper presents an iterative algorithm to maximize WSR. Numerical results for sum-rate using the derived filter are provided under different system settings.","PeriodicalId":338675,"journal":{"name":"2008 International Symposium on Information Theory and Its Applications","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Beamforming design for the MIMO downlink for maximizing Weighted Sum-Rate\",\"authors\":\"R. Agarwal, J. Cioffi\",\"doi\":\"10.1109/ISITA.2008.4895555\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work studies linear transmit filter design for weighted sum-rate (WSR) maximization in the multiple input multiple output broadcast channel (MIMO-BC). The problem of finding the optimal transmit filter is non-convex and intractable to solve. Motivated by the iterative algorithm that solves for the optimal transmit and receive filters for minimizing sum-mean square error (MSE), this paper suggests to use weighted minimum mean square error (WMMSE) optimization in the MIMO-BC. The paper presents an iterative algorithm to maximize WSR. Numerical results for sum-rate using the derived filter are provided under different system settings.\",\"PeriodicalId\":338675,\"journal\":{\"name\":\"2008 International Symposium on Information Theory and Its Applications\",\"volume\":\"56 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 International Symposium on Information Theory and Its Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISITA.2008.4895555\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 International Symposium on Information Theory and Its Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISITA.2008.4895555","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
摘要
本文研究了多输入多输出广播信道(MIMO-BC)中加权和速率(WSR)最大化的线性传输滤波器设计。寻找最优传输滤波器的问题是非凸的,难以解决。基于求解最大均方误差(sum-mean square error, MSE)的最优收发滤波器的迭代算法,本文建议在MIMO-BC中采用加权最小均方误差(weighted minimum mean square error, WMMSE)优化。本文提出了一种最大化WSR的迭代算法。在不同的系统设置下,给出了使用该滤波器计算和速率的数值结果。
Beamforming design for the MIMO downlink for maximizing Weighted Sum-Rate
This work studies linear transmit filter design for weighted sum-rate (WSR) maximization in the multiple input multiple output broadcast channel (MIMO-BC). The problem of finding the optimal transmit filter is non-convex and intractable to solve. Motivated by the iterative algorithm that solves for the optimal transmit and receive filters for minimizing sum-mean square error (MSE), this paper suggests to use weighted minimum mean square error (WMMSE) optimization in the MIMO-BC. The paper presents an iterative algorithm to maximize WSR. Numerical results for sum-rate using the derived filter are provided under different system settings.