Energy-Efficient Base Station Control Framework for 5G Cellular Networks Based on Markov Decision Process
- 주제(키워드) Green communication , energy saving , MDP , network optimization , real-time control , user mobility , 5G
- 주제(기타) Engineering, Electrical & Electronic
- 주제(기타) Telecommunications
- 주제(기타) Transportation Science & Technology
- 등재 SCIE, SCOPUS
- 발행기관 IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- 발행년도 2019
- 총서유형 Journal
- URI http://www.dcollection.net/handler/ewha/000000161556
- 본문언어 영어
- Published As http://dx.doi.org/10.1109/TVT.2019.2931304
초록/요약
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.
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