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Energy-Efficient Base Station Control Framework for 5G Cellular Networks Based on Markov Decision Process.
- Source :
-
IEEE Transactions on Vehicular Technology . Sep2019, Vol. 68 Issue 9, p9267-9279. 13p. - Publication Year :
- 2019
-
Abstract
- We study the problem of base station (BS) dynamic switching for energy efficient design of fifth-generation (5G) cellular networks and beyond. We formulate this problem as a Markov decision process (MDP) and use an approximation method known as policy rollout to solve it. This method employs Monte Carlo sampling to approximate the Q-value. In this paper, we introduce a novel approach to design an energy-efficient BS control algorithm. We design an MDP-based algorithm to control the on/off switching of BSs in real time; we exploit user mobility and location information in the selection of the optimal control actions. We start our formulation with the simple case of one-user one-ON. We then gradually and systematically extend this formulation to the multi-user multi-ON scenario. Simulation results show the potential of our novel approach of exploiting user mobility information within the MDP framework to achieve significant energy savings while providing quality-of-service guarantees. [ABSTRACT FROM AUTHOR]
- Subjects :
- *MARKOV processes
*5G networks
*DECISION making
*MONTE Carlo method
Subjects
Details
- Language :
- English
- ISSN :
- 00189545
- Volume :
- 68
- Issue :
- 9
- Database :
- Academic Search Index
- Journal :
- IEEE Transactions on Vehicular Technology
- Publication Type :
- Academic Journal
- Accession number :
- 138733656
- Full Text :
- https://doi.org/10.1109/TVT.2019.2931304