{"title":"基于随机几何的海量MIMO系统数据辅助上行检测方案性能分析框架","authors":"Rui Wang, Yifan Chen, Qingfeng Zhang, Hai Wang","doi":"10.1109/ICDSP.2015.7252058","DOIUrl":null,"url":null,"abstract":"It has been shown in the existing literature that the data symbols can assist the massive MIMO transmission by relieving the issue of pilot contamination. In order to further evaluate the performance gain from system point of view, a stochastic geometry based framework is established in this paper to analyze the distribution of signal-to-interference ratio in a massive MIMO cellular network with data-assisted uplink detection scheme. The closed-from expressions of the asymptotic performance bounds are thereby derived. It is shown by numerical simulation that the analytical bounds fit the real performance with high accuracy.","PeriodicalId":216293,"journal":{"name":"2015 IEEE International Conference on Digital Signal Processing (DSP)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A stochastic geometry based performance analysis framework for massive MIMO systems with data-assisted uplink detection scheme\",\"authors\":\"Rui Wang, Yifan Chen, Qingfeng Zhang, Hai Wang\",\"doi\":\"10.1109/ICDSP.2015.7252058\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It has been shown in the existing literature that the data symbols can assist the massive MIMO transmission by relieving the issue of pilot contamination. In order to further evaluate the performance gain from system point of view, a stochastic geometry based framework is established in this paper to analyze the distribution of signal-to-interference ratio in a massive MIMO cellular network with data-assisted uplink detection scheme. The closed-from expressions of the asymptotic performance bounds are thereby derived. It is shown by numerical simulation that the analytical bounds fit the real performance with high accuracy.\",\"PeriodicalId\":216293,\"journal\":{\"name\":\"2015 IEEE International Conference on Digital Signal Processing (DSP)\",\"volume\":\"77 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-09-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Conference on Digital Signal Processing (DSP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDSP.2015.7252058\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Digital Signal Processing (DSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDSP.2015.7252058","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A stochastic geometry based performance analysis framework for massive MIMO systems with data-assisted uplink detection scheme
It has been shown in the existing literature that the data symbols can assist the massive MIMO transmission by relieving the issue of pilot contamination. In order to further evaluate the performance gain from system point of view, a stochastic geometry based framework is established in this paper to analyze the distribution of signal-to-interference ratio in a massive MIMO cellular network with data-assisted uplink detection scheme. The closed-from expressions of the asymptotic performance bounds are thereby derived. It is shown by numerical simulation that the analytical bounds fit the real performance with high accuracy.
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