Improving throughput using multi-armed bandit algorithm for wireless LANs
Author:
Affiliation:
1. Department of Electrical Engineering, Tokyo University of Science
2. Graduate School of Media and Governance, Keio University
3. Strategic Planning Department, National Institute of Information and Communications Technology
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
Rehabilitation,Physical Therapy, Sports Therapy and Rehabilitation,General Medicine
Link
https://www.jstage.jst.go.jp/article/nolta/9/1/9_74/_pdf
Reference10 articles.
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3. [3] L. Lai, H. Jiang, and H.V. Poor, “Medium access in cognitive radio networks: A competitive multi-armed bandit frame work,” Proc. of IEEE 42th Asilomar Conference on Signals, System and Computer, pp. 98-102, 2008.
4. [4] L. Lai, H.E. Jiang, and H.V. Poor, “Cognitive medium access: Exploration, exploitation, and competition,” IEEE Trans. on mobile Computing, vol. 10, no. 2, pp. 239-253, 2011.
5. [5] R. Sutton and A. Barto, Reinforcement Learning: An Introduction. The MIT Press, Cambridge, Massachusetts London, England, 1998.
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