BER performance of stepped θ-QAM
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ahn, Seongjin | - |
dc.contributor.author | Yoon, Dong weon | - |
dc.date.accessioned | 2021-07-30T05:24:24Z | - |
dc.date.available | 2021-07-30T05:24:24Z | - |
dc.date.created | 2021-05-11 | - |
dc.date.issued | 2019-02 | - |
dc.identifier.issn | 0000-0000 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/4620 | - |
dc.description.abstract | M-ary stepped θ-QAM for M = 22l, m ≥ 3, was reported recently. Symbol error rate (SER) and optimum angle θ in terms of minimum SER were analyzed and it was confirmed that optimum angle converges to 60°. However bit error rate (BER) of stepped θ-QAM has not been analyzed yet. In this paper, we present a bit-to-symbol mapping by using layer labeling algorithm which is computationally efficient method and analyze the BER performance of M-ary stepped θ-QAM in additive white Gaussian noise (AWGN) channel. We then validate theoretical error performance and show that stepped θ-QAM offers better BER performance than conventional QAMs by Monte Carlo simulations. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.title | BER performance of stepped θ-QAM | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Yoon, Dong weon | - |
dc.identifier.doi | 10.1109/ICOMIS.2018.8644819 | - |
dc.identifier.scopusid | 2-s2.0-85063141290 | - |
dc.identifier.bibliographicCitation | 2018 IEEE 3rd International Conference on Communication and Information Systems, ICCIS 2018, pp.58 - 61 | - |
dc.relation.isPartOf | 2018 IEEE 3rd International Conference on Communication and Information Systems, ICCIS 2018 | - |
dc.citation.title | 2018 IEEE 3rd International Conference on Communication and Information Systems, ICCIS 2018 | - |
dc.citation.startPage | 58 | - |
dc.citation.endPage | 61 | - |
dc.type.rims | ART | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | Additive noise | - |
dc.subject.keywordPlus | Additives | - |
dc.subject.keywordPlus | Bit error rate | - |
dc.subject.keywordPlus | Data communication systems | - |
dc.subject.keywordPlus | Errors | - |
dc.subject.keywordPlus | Gaussian noise (electronic) | - |
dc.subject.keywordPlus | Information systems | - |
dc.subject.keywordPlus | Information use | - |
dc.subject.keywordPlus | Intelligent systems | - |
dc.subject.keywordPlus | Mapping | - |
dc.subject.keywordPlus | Monte Carlo methods | - |
dc.subject.keywordPlus | White noise | - |
dc.subject.keywordPlus | Additive White Gaussian noise | - |
dc.subject.keywordPlus | Additive white Gaussian noise channel | - |
dc.subject.keywordPlus | Bit-to-symbol mapping | - |
dc.subject.keywordPlus | Computationally efficient | - |
dc.subject.keywordPlus | Labeling algorithms | - |
dc.subject.keywordPlus | Quadrature-amplitude modulations (QAM) | - |
dc.subject.keywordPlus | Symbol error rate (SER) | - |
dc.subject.keywordPlus | Theoretical errors | - |
dc.subject.keywordPlus | Quadrature amplitude modulation | - |
dc.subject.keywordAuthor | Additive white Gaussian noise (AWGN) | - |
dc.subject.keywordAuthor | Bit error rate (BER) | - |
dc.subject.keywordAuthor | Bit-to-symbol mapping | - |
dc.subject.keywordAuthor | Quadrature amplitude modulation (QAM) | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/8644819 | - |
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