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다중경로 통신 시스템에서 톰슨 샘플링을 이용한 경로 선택 기법Thompson sampling based path selection algorithm in multipath communication system

Other Titles
Thompson sampling based path selection algorithm in multipath communication system
Authors
정병창
Issue Date
2021
Publisher
한국정보통신학회
Keywords
Multi-armed bandit; Machine learning in communications; Multipath TCP; Reinforcement learning
Citation
한국정보통신학회논문지, v.25, no.12, pp 1960 - 1963
Pages
4
Indexed
KCI
Journal Title
한국정보통신학회논문지
Volume
25
Number
12
Start Page
1960
End Page
1963
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/4399
DOI
10.6109/jkiice.2021.25.12.1960
ISSN
2234-4772
2288-4165
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.
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해양과학대학 > 지능형통신공학과 > Journal Articles

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