{"title":"Multiuser precoding and scheduling algorithm for spatial correlation-aided Ricean fading channel","authors":"Jianguo Liu, Luxi Yang, Z. He","doi":"10.1109/ICNNSP.2008.4590352","DOIUrl":null,"url":null,"abstract":"In order to exploit multiuser diversity gain and spatial multiplexing gain for multi-user MIMO system with spatial correlation Ricean fading channel, a joint multi-user precoding and scheduling algorithm is proposed based on partial channel state information (CSI). Utilizing partial instantaneous CSI and statistical CSI for all users, the base station (BS) estimates the channel for each user using constrained maximum likelihood (CML) approach, and then schedules a group of users with optimal precoding using the estimated channels. Simulation results demonstrate that the proposed scheme greatly improves system throughput with a bit of feedback overhead.","PeriodicalId":250993,"journal":{"name":"2008 International Conference on Neural Networks and Signal Processing","volume":"1520 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 International Conference on Neural Networks and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNNSP.2008.4590352","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In order to exploit multiuser diversity gain and spatial multiplexing gain for multi-user MIMO system with spatial correlation Ricean fading channel, a joint multi-user precoding and scheduling algorithm is proposed based on partial channel state information (CSI). Utilizing partial instantaneous CSI and statistical CSI for all users, the base station (BS) estimates the channel for each user using constrained maximum likelihood (CML) approach, and then schedules a group of users with optimal precoding using the estimated channels. Simulation results demonstrate that the proposed scheme greatly improves system throughput with a bit of feedback overhead.