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학술지 Two-Stage Thompson Sampling for Outer-Loop Link Adaptation
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저자
박정훈, 백승권
발행일
202109
출처
IEEE Wireless Communications Letters, v.10 no.9, pp.2004-2008
ISSN
2162-2337
출판사
IEEE
DOI
https://dx.doi.org/10.1109/LWC.2021.3090046
협약과제
20HH8400, 고속열차 환경에서의 초고속 미디어 서비스 지원을 위한 5G 진화 기반 초고주파 무선전송 기술 공동연구, 백승권
초록
In this letter, we consider outer-loop link adaptation, wherein we pursue to find the optimum modulation and coding scheme (MCS) that provides the maximum throughput without directly estimating the channel state. We cast this problem in a form of multi-armed bandit, an online decision making policy based on sequential observations. To efficiently solve a formulated problem, we propose a novel two-stage Thompson sampling. The proposed method is built based on the observation that the optimum MCS level appears in a certain group that satisfies feasibility conditions. Exploiting this feature, we find the optimum MCS level via two stages. In the first stage, we identify a group that has high probability of including the optimum MCS. In the second stage, we only focus on the MCS levels within the identified group in the first stage, and investigate the optimum MCS. By doing this, the search space is significantly reduced, which leads to the performance improvement. Simulation results show that the proposed method outperforms the existing state-of-art algorithm.
키워드
Link adaptation, multiarmed bandit, Thompson sampling
KSP 제안 키워드
ART algorithm, Channel state, Decision making policy, First stage, Link Adaptation(LA), Multi-Armed bandits, Online decision, Search Space, State-of-art, Thompson sampling, Two-Stage