{"title":"基于诺伊曼级数展开的SIC-MMSE检测","authors":"Zhilin Fu, Satya Chan, Sooyoung Kim","doi":"10.1109/ICTC.2018.8539491","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a complexity reduced soft interference cancellation minimum mean squared error (SIC-MMSE) detection scheme for coded massive MIMO systems. The presented method works efficiently when the channel matrix becomes asymptotically orthogonal with a sufficiently large number of receive antennas at the base station. With such a characteristic, the conventional SIC-MMSE detection method can be simplified to a layer independent matrix inversion process, and further complexity reduction is achieved by introducing the Neumann series expansion (NSE) method. The simulation results investigated in this paper reveal that the proposed method can efficiently reduce the complexity without appreciable performance degradation.","PeriodicalId":417962,"journal":{"name":"2018 International Conference on Information and Communication Technology Convergence (ICTC)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Efficient SIC-MMSE Detection Using Neumann Series Expansion\",\"authors\":\"Zhilin Fu, Satya Chan, Sooyoung Kim\",\"doi\":\"10.1109/ICTC.2018.8539491\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose a complexity reduced soft interference cancellation minimum mean squared error (SIC-MMSE) detection scheme for coded massive MIMO systems. The presented method works efficiently when the channel matrix becomes asymptotically orthogonal with a sufficiently large number of receive antennas at the base station. With such a characteristic, the conventional SIC-MMSE detection method can be simplified to a layer independent matrix inversion process, and further complexity reduction is achieved by introducing the Neumann series expansion (NSE) method. The simulation results investigated in this paper reveal that the proposed method can efficiently reduce the complexity without appreciable performance degradation.\",\"PeriodicalId\":417962,\"journal\":{\"name\":\"2018 International Conference on Information and Communication Technology Convergence (ICTC)\",\"volume\":\"100 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Information and Communication Technology Convergence (ICTC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICTC.2018.8539491\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Information and Communication Technology Convergence (ICTC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICTC.2018.8539491","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Efficient SIC-MMSE Detection Using Neumann Series Expansion
In this paper, we propose a complexity reduced soft interference cancellation minimum mean squared error (SIC-MMSE) detection scheme for coded massive MIMO systems. The presented method works efficiently when the channel matrix becomes asymptotically orthogonal with a sufficiently large number of receive antennas at the base station. With such a characteristic, the conventional SIC-MMSE detection method can be simplified to a layer independent matrix inversion process, and further complexity reduction is achieved by introducing the Neumann series expansion (NSE) method. The simulation results investigated in this paper reveal that the proposed method can efficiently reduce the complexity without appreciable performance degradation.