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| Micro Base Station Sleeping Cycle Determination Strategy Based on Partially Observed Markov Decision Process Traffic Aware |
| CHEN Qianbin HE Xiaoqiang WU Pan TANG Lun |
| (Key Laboratory of Mobile Communications Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China) |
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Abstract In order to solve the problem that the sleeping cycles are difficult to be determined duo to the traffic uncertainty in dense network scenarios, this paper proposes a Micro base station sleeping cycle determination strategy which based on the Partially Observed Markov Decision Process (POMDP) traffic-aware. In this strategy, the sleeping cycle is divided into long cycle and short cycle, and each cycle consists of deep and light stage. Based on the POMDP traffic-aware, it can dynamic adjusting the cycle and determine the proper length of cycle. Both the analytical and simulation results show that compare with sleeping strategy based on the traffic threshold, the base station sleeping strategy based on traffic awareness can effectively reduce the energy consumption of the micro base stations in the dense network by adjusting the sleeping time of the micro base stations in real time.
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Received: 31 March 2017
Published: 14 September 2017
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| Fund:The National High Technology Research and Development Program of China (2014AA01A701), The National Natural Science Foundation of China (61571073) |
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Corresponding Authors:
HE Xiaoqiang
E-mail: 724331631@qq.com
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