상세정보
학술지
Semidynamic Cell-Clustering Algorithm Based on Reinforcement Learning in Cooperative Transmission System
- 저자
- 정병창, 조동호
- 발행일
- 201812
- 출처
- IEEE Systems Journal, v.12 no.4, pp.3853-3856
- ISSN
- 1932-8184
- 출판사
- IEEE
- 협약과제
- 17HH3800, 다매체 다중경로 적응적 네트워크 기술 개발, 박혜숙
- 초록
- In this paper, we propose a novel method of managing a semidynamic cluster through the use of a reinforcement learning. We derive some concepts from reinforcement learning that could be suitable for cooperative networks. We also verify the performance of proposed algorithm by means of a simulation, in which we examined spectral efficiency and convergence properties. The proposed algorithm represents a considerable improvement for edge users in particular. In addition, we analyze the complexity of the clustering schemes. Our proposed algorithm is effective in the environment where there is a limited computational resource.
- KSP 제안 키워드
- Clustering Scheme, Clustering algorithm, Convergence property, Cooperative Networks, Cooperative transmission system, Reinforcement Learning(RL), Spectral efficiency(SE), novel method