Abstract
The research on wireless communication has been mainly focused on improving the system rate. However, while achieving the higher rate, it also consumes a lot of power, which leads to a reduction in energy efficiency. Therefore, in this paper, we propose a new algorithm to maximize energy efficiency in multiuser OFDM systems. More specifically, users can transfer information and collect energy simultaneously by using SWIPT technology, and the energy efficiency is maximized by optimizing the subcarrier allocation under some constraints. We formulate the proposed algorithm at first, and the initial optimization problem is non-convex, so we cannot get the optimal resource allocation directly. Later, by transforming the original objective function, the optimal solution is obtained. Finally, we validate the proposed algorithm with simulation results. The results show that the proposed algorithm can indeed improve energy efficiency. We also find that some variables have a huge impact on system energy efficiency.
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Acknowledgement
This work was supported in part by the National Natural Science Foundation of China under Grants 61871348 and 61601221, by the Project funded by China Postdoctoral Science Foundation under Grant 2017M612027.
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Fang, S., Lu, W., Zhang, Y., Li, B., Liu, X., Na, Z. (2019). Energy Efficiency Optimization Based SWIPT in Multiuser OFDM Systems. In: Jia, M., Guo, Q., Meng, W. (eds) Wireless and Satellite Systems. WiSATS 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 280. Springer, Cham. https://doi.org/10.1007/978-3-030-19153-5_51
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DOI: https://doi.org/10.1007/978-3-030-19153-5_51
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