Abstract
In view of the current energy problems of communication base station, a multi-base station energy cooperation strategy is proposed to reduce the energy consumption of power grid, which is introducing renewable energy and energy cooperation between the base station based on the Nash-Q learning algorithm. We analyze the packet rate and throughput of the system under the proposed approach. The simulation results show that the proposed algorithm can enhances the adaptability to the changing environment, effectively improve the system capacity.
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Lv, Y., Li, B., Zhao, W., Guo, D., Yao, Y. (2018). Multi-base Station Energy Cooperation Based on Nash Q-Learning Algorithm. In: Long, K., Leung, V., Zhang, H., Feng, Z., Li, Y., Zhang, Z. (eds) 5G for Future Wireless Networks. 5GWN 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 211. Springer, Cham. https://doi.org/10.1007/978-3-319-72823-0_7
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DOI: https://doi.org/10.1007/978-3-319-72823-0_7
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