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DC Field | Value | Language |
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dc.citation.endPage | 1920 | - |
dc.citation.number | 6 | - |
dc.citation.startPage | 1916 | - |
dc.citation.title | IEEE COMMUNICATIONS LETTERS | - |
dc.citation.volume | 25 | - |
dc.contributor.author | Kim, Junbeom | - |
dc.contributor.author | Lee, Hoon | - |
dc.contributor.author | Park, Seok-Hwan | - |
dc.date.accessioned | 2023-12-21T15:40:56Z | - |
dc.date.available | 2023-12-21T15:40:56Z | - |
dc.date.created | 2023-09-06 | - |
dc.date.issued | 2021-06 | - |
dc.description.abstract | This letter investigates a learning solution for robust beamforming optimization in downlink multi-user systems. A base station (BS) identifies efficient multi-antenna transmission strategies only with imperfect channel state information (CSI) and its stochastic features. To this end, we propose a robust training algorithm where a deep neural network (DNN), which only accepts estimates and statistical knowledge of the perfect CSI, is optimized to fit to real-world propagation environment. Consequently, the trained DNN can provide efficient robust beamforming solutions based only on imperfect observations of the actual CSI. Numerical results validate the advantages of the proposed learning approach compared to conventional schemes. | - |
dc.identifier.bibliographicCitation | IEEE COMMUNICATIONS LETTERS, v.25, no.6, pp.1916 - 1920 | - |
dc.identifier.doi | 10.1109/LCOMM.2021.3063707 | - |
dc.identifier.issn | 1089-7798 | - |
dc.identifier.scopusid | 2-s2.0-85102320003 | - |
dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/65450 | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/9369390 | - |
dc.identifier.wosid | 000659549000038 | - |
dc.language | 영어 | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.title | Learning Robust Beamforming for MISO Downlink Systems | - |
dc.type | Article | - |
dc.description.isOpenAccess | FALSE | - |
dc.relation.journalWebOfScienceCategory | Telecommunications | - |
dc.relation.journalResearchArea | Telecommunications | - |
dc.type.docType | Article | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordAuthor | Array signal processing | - |
dc.subject.keywordAuthor | Optimization | - |
dc.subject.keywordAuthor | Channel estimation | - |
dc.subject.keywordAuthor | Training | - |
dc.subject.keywordAuthor | Downlink | - |
dc.subject.keywordAuthor | Error analysis | - |
dc.subject.keywordAuthor | Wireless communication | - |
dc.subject.keywordAuthor | Multi-user MISO downlink | - |
dc.subject.keywordAuthor | deep learning | - |
dc.subject.keywordAuthor | robust beamforming | - |
dc.subject.keywordAuthor | imperfect CSI | - |
dc.subject.keywordAuthor | unsupervised learning | - |
dc.subject.keywordPlus | MIMO | - |
dc.subject.keywordPlus | OPTIMIZATION | - |
dc.subject.keywordPlus | TRANSMIT | - |
dc.subject.keywordPlus | NETWORKS | - |
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