Deep Learning-Based Codebook Designs for Generalized Space Shift Keying Systems
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Huang, Di | - |
dc.contributor.author | Jiang, Xue-Qin | - |
dc.contributor.author | Lee, Inkyu | - |
dc.contributor.author | Hai, Han | - |
dc.date.accessioned | 2022-03-02T21:40:32Z | - |
dc.date.available | 2022-03-02T21:40:32Z | - |
dc.date.created | 2022-03-02 | - |
dc.date.issued | 2022-01 | - |
dc.identifier.issn | 0018-9545 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/137546 | - |
dc.description.abstract | In this paper, we propose a novel deep learning (DL)-based codebook design method for generalized space shift keying (GSSK) systems. In this DL-based method, the transmitter and receiver of GSSK systems are designed based on deep neural network (DNN). By training the DNN in an end-to-end manner, the DL-based method can adaptively generate suitable binary codewords and combine them into a codebook for GSSK systems. Simulation results show that the proposed DL-based method obtains better performance compared to conventional approaches. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.subject | WIRELESS NETWORKS | - |
dc.subject | MODULATION | - |
dc.subject | COMMUNICATION | - |
dc.title | Deep Learning-Based Codebook Designs for Generalized Space Shift Keying Systems | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Lee, Inkyu | - |
dc.identifier.doi | 10.1109/TVT.2021.3128693 | - |
dc.identifier.scopusid | 2-s2.0-85119412494 | - |
dc.identifier.wosid | 000745533700087 | - |
dc.identifier.bibliographicCitation | IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, v.71, no.1, pp.1038 - 1042 | - |
dc.relation.isPartOf | IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY | - |
dc.citation.title | IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY | - |
dc.citation.volume | 71 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 1038 | - |
dc.citation.endPage | 1042 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Telecommunications | - |
dc.relation.journalResearchArea | Transportation | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Telecommunications | - |
dc.relation.journalWebOfScienceCategory | Transportation Science & Technology | - |
dc.subject.keywordPlus | WIRELESS NETWORKS | - |
dc.subject.keywordPlus | MODULATION | - |
dc.subject.keywordPlus | COMMUNICATION | - |
dc.subject.keywordAuthor | Transmitting antennas | - |
dc.subject.keywordAuthor | Training | - |
dc.subject.keywordAuthor | Receiving antennas | - |
dc.subject.keywordAuthor | Design methodology | - |
dc.subject.keywordAuthor | Deep learning | - |
dc.subject.keywordAuthor | Neurons | - |
dc.subject.keywordAuthor | Simulation | - |
dc.subject.keywordAuthor | Generalized space shift keying | - |
dc.subject.keywordAuthor | deep learning | - |
dc.subject.keywordAuthor | codebook | - |
dc.subject.keywordAuthor | multiple-input multiple-output | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(02841) 서울특별시 성북구 안암로 14502-3290-1114
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.