Abstract
In this paper, we consider a wireless communication node with hybrid energy harvesting (EH) sources which results in great difficulty in obtaining the statistical knowledge of joint EH process. In addition, the wireless channel fluctuates randomly due to fading. Our goal is, under this condition, to develop a dynamic power control policy for the transmitter such that the time average throughput of the system is maximized over an infinite horizon, taking into account the circuit energy consumption and inefficiency of the rechargeable battery. Such a dynamic power control problem is formulated as a stochastic network optimization problem. The problem is solved by utilizing Lyapunov optimization and an efficient on-line algorithm with quite low complexity is obtained. Simulation results illustrate that the proposed algorithm has the same performance as the optimal one with giving statistical knowledge of the stochastic processes.
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Acknowledgment
The research was supported by the National Natural Science Foundation of China (Grant No. 61261017,), Guangxi Natural Science Foundation (2014GXNSFAA118387), Foundation of Key Laboratory of Cognitive Radio and Information Processing, Ministry of Education (CRKL150206) and Guangxi Key Lab of Multi-source Information Mining & Security (MIMS14-06).
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Liu, D., Lin, J., Wang, J., Qiu, H., Chen, Y. (2018). Dynamic Power Control for Throughput Maximization in Hybrid Energy Harvesting Node. In: Chen, Q., Meng, W., Zhao, L. (eds) Communications and Networking. ChinaCom 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 210. Springer, Cham. https://doi.org/10.1007/978-3-319-66628-0_3
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DOI: https://doi.org/10.1007/978-3-319-66628-0_3
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