{"title":"使用部分CSIT的FDD大规模MIMO系统中多用户传输的波束形成设计","authors":"Ming-Fu Tang, Szu-Yu Wang, B. Su","doi":"10.1109/SAM.2016.7569650","DOIUrl":null,"url":null,"abstract":"In this paper, we consider an effective acquisition mechanism of partial channel state information at the transmitter (CSIT) for frequency-division duplex (FDD) massive MIMO systems, based on which two downlink beamforming methods are proposed. The partial CSIT is in the form of downlink angles of departure (AoDs) and the amplitudes of the strongest paths of each UE. By exploiting the reciprocity between downlink AoDs and uplink angles of arrival (AoAs), the partial CSIT can be acquired through downlink training and uplink feedback effectively. Therefore, the feasibility of FDD massive MIMO systems is greatly enhanced. Simulation results demonstrate the superiority of the proposed methods compared to other methods in the sense of fairness and achievable sum rate.","PeriodicalId":159236,"journal":{"name":"2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Beamforming designs for multiuser transmissions in FDD massive MIMO systems using partial CSIT\",\"authors\":\"Ming-Fu Tang, Szu-Yu Wang, B. Su\",\"doi\":\"10.1109/SAM.2016.7569650\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we consider an effective acquisition mechanism of partial channel state information at the transmitter (CSIT) for frequency-division duplex (FDD) massive MIMO systems, based on which two downlink beamforming methods are proposed. The partial CSIT is in the form of downlink angles of departure (AoDs) and the amplitudes of the strongest paths of each UE. By exploiting the reciprocity between downlink AoDs and uplink angles of arrival (AoAs), the partial CSIT can be acquired through downlink training and uplink feedback effectively. Therefore, the feasibility of FDD massive MIMO systems is greatly enhanced. Simulation results demonstrate the superiority of the proposed methods compared to other methods in the sense of fairness and achievable sum rate.\",\"PeriodicalId\":159236,\"journal\":{\"name\":\"2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-07-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SAM.2016.7569650\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SAM.2016.7569650","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Beamforming designs for multiuser transmissions in FDD massive MIMO systems using partial CSIT
In this paper, we consider an effective acquisition mechanism of partial channel state information at the transmitter (CSIT) for frequency-division duplex (FDD) massive MIMO systems, based on which two downlink beamforming methods are proposed. The partial CSIT is in the form of downlink angles of departure (AoDs) and the amplitudes of the strongest paths of each UE. By exploiting the reciprocity between downlink AoDs and uplink angles of arrival (AoAs), the partial CSIT can be acquired through downlink training and uplink feedback effectively. Therefore, the feasibility of FDD massive MIMO systems is greatly enhanced. Simulation results demonstrate the superiority of the proposed methods compared to other methods in the sense of fairness and achievable sum rate.