{"title":"下行分布式MIMO系统的性能分析与优化","authors":"Jiancun Fan","doi":"10.1109/WPMC.2017.8301861","DOIUrl":null,"url":null,"abstract":"In this paper, we analyze and optimize the ergodic capacity for a downlink multi-cell multi-user distributed multiple input multiple output (MIMO) system. We first derive the system ergodic capacity by using the approximated Gamma distribution. In order to maximize the system capacity, an optimization problem with respect to the number of remote access unit (RAU) antennas and the number of users is formulated. Then an iteration algorithm is proposed to obtain the optimization configuration of RAU antennas and users. Our simulation results show that the proposed algorithm can obtain the optimal configuration of RAU antennas and supportable users to maximize the system ergodic capacity.","PeriodicalId":239243,"journal":{"name":"2017 20th International Symposium on Wireless Personal Multimedia Communications (WPMC)","volume":"89 3-4","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Performance analysis and optimization for downlink distributed MIMO systems\",\"authors\":\"Jiancun Fan\",\"doi\":\"10.1109/WPMC.2017.8301861\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we analyze and optimize the ergodic capacity for a downlink multi-cell multi-user distributed multiple input multiple output (MIMO) system. We first derive the system ergodic capacity by using the approximated Gamma distribution. In order to maximize the system capacity, an optimization problem with respect to the number of remote access unit (RAU) antennas and the number of users is formulated. Then an iteration algorithm is proposed to obtain the optimization configuration of RAU antennas and users. Our simulation results show that the proposed algorithm can obtain the optimal configuration of RAU antennas and supportable users to maximize the system ergodic capacity.\",\"PeriodicalId\":239243,\"journal\":{\"name\":\"2017 20th International Symposium on Wireless Personal Multimedia Communications (WPMC)\",\"volume\":\"89 3-4\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 20th International Symposium on Wireless Personal Multimedia Communications (WPMC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WPMC.2017.8301861\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 20th International Symposium on Wireless Personal Multimedia Communications (WPMC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WPMC.2017.8301861","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Performance analysis and optimization for downlink distributed MIMO systems
In this paper, we analyze and optimize the ergodic capacity for a downlink multi-cell multi-user distributed multiple input multiple output (MIMO) system. We first derive the system ergodic capacity by using the approximated Gamma distribution. In order to maximize the system capacity, an optimization problem with respect to the number of remote access unit (RAU) antennas and the number of users is formulated. Then an iteration algorithm is proposed to obtain the optimization configuration of RAU antennas and users. Our simulation results show that the proposed algorithm can obtain the optimal configuration of RAU antennas and supportable users to maximize the system ergodic capacity.