Details of Research Outputs

TitleNoncoherent Energy-Modulated Massive SIMO in Multipath Channels: A Machine Learning Approach
Author (Name in English or Pinyin)
Zhang, H.1; Lan, M.2; Huang, J.3; Huang, C.3; Cui, S.4
Date Issued2020-09-01
Source PublicationIEEE Internet of Things Journal
ISSN23274662
DOI10.1109/JIOT.2020.2989078
Firstlevel Discipline信息科学与系统科学
Education discipline科技类
Published range国外学术期刊
Volume Issue Pages卷: 7 期: 9 页: 8263-8270
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Citation statistics
Cited Times:10[WOS]   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
Identifierhttps://irepository.cuhk.edu.cn/handle/3EPUXD0A/1763
CollectionSchool of Science and Engineering
Corresponding AuthorHuang, C.
Affiliation
1.Department of Electrical and Computer Engineering, University of California at Davis, Davis, CA, United States
2.National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, China
3.Future Network of Intelligence Institute (FNii), School of Science and Engineering, Chinese University of Hong Kong, Shenzhen, Hong Kong
4.Shenzhen Research Institute of Big Data, School of Science and Engineering, Chinese University of Hong Kong, Shenzhen, Hong Kong
Corresponding Author AffilicationFuture Network of Intelligence Institute
Recommended Citation
GB/T 7714
Zhang, H.,Lan, M.,Huang, J.et al. Noncoherent Energy-Modulated Massive SIMO in Multipath Channels: A Machine Learning Approach[J]. IEEE Internet of Things Journal,2020.
APA Zhang, H., Lan, M., Huang, J., Huang, C., & Cui, S. (2020). Noncoherent Energy-Modulated Massive SIMO in Multipath Channels: A Machine Learning Approach. IEEE Internet of Things Journal.
MLA Zhang, H.,et al."Noncoherent Energy-Modulated Massive SIMO in Multipath Channels: A Machine Learning Approach".IEEE Internet of Things Journal (2020).
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