{"title":"Machine-learning-enabled channel modeling","authors":"Chen Huang, R. He, A. Molisch, Z. Zhong, B. Ai","doi":"10.1049/PBTE081E_CH2","DOIUrl":null,"url":null,"abstract":"In this chapter, we present an introduction to the use of machine learning in wireless propagation channel modeling. We also present a survey of some current research topics that have become important issues for 5G communications.","PeriodicalId":358911,"journal":{"name":"Applications of Machine Learning in Wireless Communications","volume":"65 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applications of Machine Learning in Wireless Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1049/PBTE081E_CH2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract
In this chapter, we present an introduction to the use of machine learning in wireless propagation channel modeling. We also present a survey of some current research topics that have become important issues for 5G communications.
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