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Semidynamic Cell-Clustering Algorithm Based on Reinforcement Learning in Cooperative Transmission System
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- Authors
- Byung Chang Chung, Dong-Ho Cho
- Issue Date
- 2018-12
- Citation
- IEEE Systems Journal, v.12, no.4, pp.3853-3856
- ISSN
- 1932-8184
- Publisher
- IEEE
- Language
- English
- Type
- Journal Article
- Project Code
- 17HH3800, The Development of Adaptive Network Technology with Multi-Media Multi-Path, Park Hea Sook
- Abstract
- 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 Keywords
- Clustering Scheme, Clustering algorithm, Convergence property, Cooperative Networks, Cooperative transmission system, Reinforcement Learning(RL), Spectral efficiency(SE), novel method