David Neumann, Andreas Gründinger, M. Joham, W. Utschick
{"title":"协同大规模MIMO系统的训练量研究","authors":"David Neumann, Andreas Gründinger, M. Joham, W. Utschick","doi":"10.1109/SAM.2014.6882399","DOIUrl":null,"url":null,"abstract":"Coordinated training significantly reduces the impact of pilot contamination in massive MIMO systems. Moreover, coordinated systems can use additional training resources in an effective manner, making it worthwhile to spend more resources on training than the necessary minimum. For a fixed channel coherence time, we analyze the trade-off between spending resources on training or data symbols for the uncoordinated and the coordinated case.","PeriodicalId":141678,"journal":{"name":"2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"On the amount of training in coordinated massive MIMO systems\",\"authors\":\"David Neumann, Andreas Gründinger, M. Joham, W. Utschick\",\"doi\":\"10.1109/SAM.2014.6882399\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Coordinated training significantly reduces the impact of pilot contamination in massive MIMO systems. Moreover, coordinated systems can use additional training resources in an effective manner, making it worthwhile to spend more resources on training than the necessary minimum. For a fixed channel coherence time, we analyze the trade-off between spending resources on training or data symbols for the uncoordinated and the coordinated case.\",\"PeriodicalId\":141678,\"journal\":{\"name\":\"2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM)\",\"volume\":\"56 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-06-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SAM.2014.6882399\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SAM.2014.6882399","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
On the amount of training in coordinated massive MIMO systems
Coordinated training significantly reduces the impact of pilot contamination in massive MIMO systems. Moreover, coordinated systems can use additional training resources in an effective manner, making it worthwhile to spend more resources on training than the necessary minimum. For a fixed channel coherence time, we analyze the trade-off between spending resources on training or data symbols for the uncoordinated and the coordinated case.