Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 최승원 | - |
dc.date.accessioned | 2022-03-07T05:55:06Z | - |
dc.date.available | 2022-03-07T05:55:06Z | - |
dc.date.issued | 2020-06 | - |
dc.identifier.citation | (사)디지털산업정보학회 논문지, v. 16, no. 2, page. 45-52 | en_US |
dc.identifier.issn | 2713-9018 | - |
dc.identifier.issn | 1738-6667 | - |
dc.identifier.uri | http://koreascience.or.kr/article/JAKO202019163739755.page | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/168868 | - |
dc.description.abstract | This paper is focused on the modulation scheme detection of the IEEE 802.11 standard. In the IEEE 802.11ac standard, the information of the modulation scheme is indicated by the modulation coding scheme (MCS) included in the VHT-SIG-A of the preamble field. Transmitting end determines the MCS index suitable for the low signal to noise ratio (SNR) situation and transmits the data accordingly. Since data field decoding can take place only when the receiving end acquires the MCS index information of the frame. Therefore, accurate MCS detection must be guaranteed before data field decoding. However, since the MCS index information is the information obtained through preamble field decoding, the detection rate can be affected significantly in a low SNR situation. In this paper, we propose a relatively robust modulation classification method based on deep learning to solve the low detection rate problem with a conventional method caused by a low SNR. | en_US |
dc.description.sponsorship | 이 논문은 정부 (과학기술정보통신부)의 재원으로 정보통신기술진흥센터 (IITP) 의 지원을 받아 수행된 연구임. (No. 2017-0-00723, Reconfigurable Radio System 기술을 적용한 소프트웨어 기반 서비스 지향 통합 기지국 플랫폼 개발) | en_US |
dc.language.iso | ko_KR | en_US |
dc.publisher | (사)디지털산업정보학회 | en_US |
dc.subject | IEEE 802.11ac | en_US |
dc.subject | Deep Learning | en_US |
dc.subject | Modulation Classification | en_US |
dc.subject | Decoding | en_US |
dc.title | IEEE 802.11ac 변조 방식의 딥러닝 기반 분류 | en_US |
dc.title.alternative | Deep learning-based classification for IEEE 802.11ac modulation scheme detection | en_US |
dc.type | Article | en_US |
dc.relation.no | 2 | - |
dc.relation.volume | 16 | - |
dc.identifier.doi | 10.17662/ksdim.2020.16.2.045 | - |
dc.relation.page | 45-52 | - |
dc.relation.journal | (사)디지털산업정보학회 논문지 | - |
dc.contributor.googleauthor | 강석원 | - |
dc.contributor.googleauthor | 김민재 | - |
dc.contributor.googleauthor | 최승원 | - |
dc.contributor.googleauthor | Kang, Seokwon | - |
dc.contributor.googleauthor | Kim, Minjae | - |
dc.contributor.googleauthor | Choi, Seungwon | - |
dc.relation.code | 2020040806 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | SCHOOL OF ELECTRONIC ENGINEERING | - |
dc.identifier.pid | choiseungwon | - |
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