Ioan S. Comsa
Reinforcement learning based radio resource scheduling in LTE-advanced
Comsa, Ioan S.; Aydin, Mehmet; Zhang, Sijing; Kuonen, Pierre; Wagen, Jean Frederic
Authors
Dr Mehmet Aydin Mehmet.Aydin@uwe.ac.uk
Senior Lecturer in Networks and Mobile Computing
Sijing Zhang
Pierre Kuonen
Jean Frederic Wagen
Abstract
In this paper, a novel radio resource scheduling policy for Long Term Evolution Advanced (LTE-A) radio access technology in downlink acceptance is proposed. The scheduling process works with dispatching rules which are various with different behaviors. In the literature, the scheduling disciplines are applied for the entire transmission sessions and the scheduler performance strongly depends on the exploited discipline. Our method provides a straightforward schedule within transmission time interval (TTI) frame. Hence, a mixture of disciplines can be used for each TTI instead of the single one adopted across the whole transmission. The grand objective is to bring real improvements in terms of system throughput, system capacity and spectral efficiency (operator benefit) assuring in the same time the best user fairness and Quality of Services (QoS) capabilities (user benefit). In order to meet this objective, each rule must to be called on the best matching conditions. The policy adoption and refinement are the best way to optimize the use of mixture of rules. The Q-III reinforcement learning algorithm is proposed for the policy adoption in order to transform the scheduling experiences into a permanent nature, facilitating the decision-making on which rules will be used for each TTI. The IQ-III reinforcement learning algorithm using multi-agent environments refines the policy adoption by considering the agents' opinions in order to reduce the policy convergence time. © 2011 CACSUK.
Citation
Comsa, I. S., Aydin, M., Zhang, S., Kuonen, P., & Wagen, J. F. (2011). Reinforcement learning based radio resource scheduling in LTE-advanced
Conference Name | Proceedings of 2011 17th International Conference on Automation and Computing, ICAC 2011 |
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Conference Location | Huddersfield, UK |
Start Date | Sep 10, 2011 |
End Date | Sep 10, 2011 |
Publication Date | Dec 19, 2011 |
Deposit Date | Apr 30, 2021 |
Pages | 219-224 |
ISBN | 9781467300001 |
Public URL | https://uwe-repository.worktribe.com/output/6545446 |
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