{"title":"极化分布式MIMO系统的容量上限与功率分配","authors":"Wei Lu, Desheng Wang, Yingzhuang Liu","doi":"10.1109/ChinaCom.2011.6158148","DOIUrl":null,"url":null,"abstract":"By deriving the upper capacity bound of the polarized distributed MIMO system on Rician channel, the suboptimal power allocation scheme is presented by applying Lagrangian optimization. The suboptimal power allocation is based on the path loss fading information, and it needs less feedback information than other power allocation schemes which are based on channel mean or covariance matrix. The suboptimal power allocation scheme is applicable for arbitrary antenna number at both the transmitter and receiver sides. The proposed power allocation solution has a closed-form expression and has a water-filling interpretation. Simulation results reveal the proposed power allocation scheme performs almost the same as the optimal solution with little difference.","PeriodicalId":339961,"journal":{"name":"2011 6th International ICST Conference on Communications and Networking in China (CHINACOM)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Upper capacity bound and power allocation in polarized distributed MIMO system\",\"authors\":\"Wei Lu, Desheng Wang, Yingzhuang Liu\",\"doi\":\"10.1109/ChinaCom.2011.6158148\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"By deriving the upper capacity bound of the polarized distributed MIMO system on Rician channel, the suboptimal power allocation scheme is presented by applying Lagrangian optimization. The suboptimal power allocation is based on the path loss fading information, and it needs less feedback information than other power allocation schemes which are based on channel mean or covariance matrix. The suboptimal power allocation scheme is applicable for arbitrary antenna number at both the transmitter and receiver sides. The proposed power allocation solution has a closed-form expression and has a water-filling interpretation. Simulation results reveal the proposed power allocation scheme performs almost the same as the optimal solution with little difference.\",\"PeriodicalId\":339961,\"journal\":{\"name\":\"2011 6th International ICST Conference on Communications and Networking in China (CHINACOM)\",\"volume\":\"77 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-08-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 6th International ICST Conference on Communications and Networking in China (CHINACOM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ChinaCom.2011.6158148\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 6th International ICST Conference on Communications and Networking in China (CHINACOM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ChinaCom.2011.6158148","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Upper capacity bound and power allocation in polarized distributed MIMO system
By deriving the upper capacity bound of the polarized distributed MIMO system on Rician channel, the suboptimal power allocation scheme is presented by applying Lagrangian optimization. The suboptimal power allocation is based on the path loss fading information, and it needs less feedback information than other power allocation schemes which are based on channel mean or covariance matrix. The suboptimal power allocation scheme is applicable for arbitrary antenna number at both the transmitter and receiver sides. The proposed power allocation solution has a closed-form expression and has a water-filling interpretation. Simulation results reveal the proposed power allocation scheme performs almost the same as the optimal solution with little difference.