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Energy-Efficient Base Station Control Framework for 5G Cellular Networks Based on Markov Decision Process

Title
Energy-Efficient Base Station Control Framework for 5G Cellular Networks Based on Markov Decision Process
Authors
Elsherif, FatehChong, Edwin K. P.Kim, Jeong-Ho
Ewha Authors
김정호
SCOPUS Author ID
김정호scopus
Issue Date
2019
Journal Title
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
ISSN
0018-9545JCR Link

1939-9359JCR Link
Citation
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY vol. 68, no. 9, pp. 9267 - 9279
Keywords
Green communicationenergy savingMDPnetwork optimizationreal-time controluser mobility5G
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Indexed
SCI; SCIE; SCOPUS WOS
Document Type
Article
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 multiuser 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.
DOI
10.1109/TVT.2019.2931304
Appears in Collections:
엘텍공과대학 > 전자공학과 > Journal papers
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