Low Complexity Delay-Optimal Power Control for Energy Harvesting Wireless System with Finite Energy Storage

被引:0
|
作者
Zhang, Fan [1 ]
Lau, Vincent K. N. [1 ]
Huang, Kaibin [2 ]
机构
[1] Hong Kong Univ Sci & Technol, Hong Kong, Hong Kong, Peoples R China
[2] Univ Hong Kong, Hong Kong, Hong Kong, Peoples R China
关键词
SENSOR NODES;
D O I
暂无
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
In this paper, we consider delay-optimal power control for an energy harvesting wireless system with finite energy storage. The system is powered solely by a renewable energy source with bursty data arrivals, and is characterized by data and energy queues. We consider delay-optimal power control and formulate an infinite horizon average cost Markov Decision Process (MDP). To deal with the curse of dimensionality, we introduce a virtual continuous time system and derive closed-form approximate priority functions for the MDP at various operating regimes. Based on the approximation, we obtain a low complexity online power control solution which is adaptive to the channel state information as well as the data and energy queue state information. The derived power control solution has a multi-level water-filling structure, where the water level is determined jointly by the data and energy queue lengths.
引用
收藏
页码:92 / 96
页数:5
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