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다중경로 통신 시스템에서 톰슨 샘플링을 이용한 경로 선택 기법
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 정병창 | - |
| dc.date.accessioned | 2022-12-26T11:00:29Z | - |
| dc.date.available | 2022-12-26T11:00:29Z | - |
| dc.date.issued | 2021 | - |
| dc.identifier.issn | 2234-4772 | - |
| dc.identifier.issn | 2288-4165 | - |
| dc.identifier.uri | https://scholarworks.gnu.ac.kr/handle/sw.gnu/4399 | - |
| dc.description.abstract | In this paper, we propose a multiplay Thompson sampling algorithm in multipath communication system. Multipath communication system has advantages on communication capacity, robustness, survivability, and so on. It is important to select appropriate network path according to the status of individual path. However, it is hard to obtain the information of path quality simultaneously. To solve this issue, we propose Thompson sampling which is popular in machine learning area. We find some issues when the algorithm is applied directly in the proposal system and suggested some modifications. Through simulation, we verified the proposed algorithm can utilize the entire network paths. In summary, our proposed algorithm can be applied as a path allocation in multipath-based communications system. | - |
| dc.format.extent | 4 | - |
| dc.language | 한국어 | - |
| dc.language.iso | KOR | - |
| dc.publisher | 한국정보통신학회 | - |
| dc.title | 다중경로 통신 시스템에서 톰슨 샘플링을 이용한 경로 선택 기법 | - |
| dc.title.alternative | Thompson sampling based path selection algorithm in multipath communication system | - |
| dc.type | Article | - |
| dc.publisher.location | 대한민국 | - |
| dc.identifier.doi | 10.6109/jkiice.2021.25.12.1960 | - |
| dc.identifier.bibliographicCitation | 한국정보통신학회논문지, v.25, no.12, pp 1960 - 1963 | - |
| dc.citation.title | 한국정보통신학회논문지 | - |
| dc.citation.volume | 25 | - |
| dc.citation.number | 12 | - |
| dc.citation.startPage | 1960 | - |
| dc.citation.endPage | 1963 | - |
| dc.identifier.kciid | ART002787832 | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | kci | - |
| dc.subject.keywordAuthor | Multi-armed bandit | - |
| dc.subject.keywordAuthor | Machine learning in communications | - |
| dc.subject.keywordAuthor | Multipath TCP | - |
| dc.subject.keywordAuthor | Reinforcement learning | - |
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