V. Kuptsov, O. Shmonin, S. Trushkov, A. Mikhailova
{"title":"移动LTE用户的参数化自回归信道预测算法","authors":"V. Kuptsov, O. Shmonin, S. Trushkov, A. Mikhailova","doi":"10.1109/EnT47717.2019.9030559","DOIUrl":null,"url":null,"abstract":"This paper considers the problem of channel prediction for LTE system highly mobile users. A prediction algorithm based on parameterized autoregressive model which parameters are estimated using superresolution techniques of spectral analysis is proposed. Via numerical simulation with usage of system level simulation platform efficiency of proposed algorithm is performed. It is shown that proposed algorithm allows high accuracy of channel prediction for highly mobile users to be achieved.","PeriodicalId":288550,"journal":{"name":"2019 International Conference on Engineering and Telecommunication (EnT)","volume":"163 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Parametrized autoregressive channel prediction algorithm for moving LTE users\",\"authors\":\"V. Kuptsov, O. Shmonin, S. Trushkov, A. Mikhailova\",\"doi\":\"10.1109/EnT47717.2019.9030559\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper considers the problem of channel prediction for LTE system highly mobile users. A prediction algorithm based on parameterized autoregressive model which parameters are estimated using superresolution techniques of spectral analysis is proposed. Via numerical simulation with usage of system level simulation platform efficiency of proposed algorithm is performed. It is shown that proposed algorithm allows high accuracy of channel prediction for highly mobile users to be achieved.\",\"PeriodicalId\":288550,\"journal\":{\"name\":\"2019 International Conference on Engineering and Telecommunication (EnT)\",\"volume\":\"163 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on Engineering and Telecommunication (EnT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EnT47717.2019.9030559\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Engineering and Telecommunication (EnT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EnT47717.2019.9030559","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Parametrized autoregressive channel prediction algorithm for moving LTE users
This paper considers the problem of channel prediction for LTE system highly mobile users. A prediction algorithm based on parameterized autoregressive model which parameters are estimated using superresolution techniques of spectral analysis is proposed. Via numerical simulation with usage of system level simulation platform efficiency of proposed algorithm is performed. It is shown that proposed algorithm allows high accuracy of channel prediction for highly mobile users to be achieved.