dc.citation.conferencePlace |
US |
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dc.citation.conferencePlace |
Madrid, SPAIN |
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dc.citation.title |
IEEE Global Communications Conference |
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dc.contributor.author |
Park, Jeonghun |
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dc.contributor.author |
Choi, Jinseok |
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dc.contributor.author |
Shin, Wonjae |
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dc.contributor.author |
Lee, Namyoon |
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dc.date.accessioned |
2024-01-31T21:06:42Z |
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dc.date.available |
2024-01-31T21:06:42Z |
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dc.date.created |
2022-06-02 |
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dc.date.issued |
2021-12 |
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dc.description.abstract |
This paper introduces block orthogonal sparse superposition (BOSS) codes for efficient short-packet communications over Gaussian channels. Unlike conventional sparse superposition codes, an encoder of BOSS code uses multiple unitary matrices as a fat dictionary matrix and maps information bits such that multiple subgroups of codewords are orthogonal. Exploiting this orthogonal property per group, a two-stage maximum a posteriori (MAP) decoding algorithm is presented. The key idea of the two-stage MAP decoder is to successively estimate the non-zero alphabets corresponding to the orthogonal columns in a dictionary matrix and the index of a sub-dictionary matrix containing the columns This decoding algorithm achieves a near-optimal decoding performance while requiring polynomial time complexity in blocklength. Via simulations, we show that the proposed encoding and decoding techniques achieve enhanced block-error-rate performances in the short blocklength regime compared to the state-of-the-art coded modulation methods. |
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dc.identifier.bibliographicCitation |
IEEE Global Communications Conference |
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dc.identifier.doi |
10.1109/GLOBECOM46510.2021.9685445 |
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dc.identifier.issn |
2334-0983 |
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dc.identifier.scopusid |
2-s2.0-85127290210 |
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dc.identifier.uri |
https://scholarworks.unist.ac.kr/handle/201301/76506 |
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dc.identifier.wosid |
000790747202050 |
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dc.language |
영어 |
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dc.publisher |
IEEE |
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dc.title |
Block Orthogonal Sparse Superposition Codes |
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dc.type |
Conference Paper |
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dc.date.conferenceDate |
2021-12-07 |
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