Abstract
With the rapid development of 5G in recent years, the energy consumption in the information and communication industry is becoming serious day by day. The sleeping strategy of the base station (BS) is to consider the load situation and user distribution of each BS under the heterogeneous cellular network model and close the BS with low load. Meanwhile, some users of the BS with high load are assigned to the BS with low adjacent load, so as to achieve energy consumption balance. The simulation results show that the particle swarm optimization algorithm is superior to traditional distributed algorithm in energy consumption and energy saving efficiency, which can realize green communication, but the time it takes is a little longer.
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Supported by the National Key R and D Program of China (No. 2017YFC1500601.)
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Yang, W., Bai, X., Guo, S., Wang, L., Luo, X., Ji, M. (2021). An Adaptive Base Station Management Scheme Based on Particle Swarm Optimization. In: Liang, Q., Wang, W., Liu, X., Na, Z., Li, X., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2020. Lecture Notes in Electrical Engineering, vol 654. Springer, Singapore. https://doi.org/10.1007/978-981-15-8411-4_83
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DOI: https://doi.org/10.1007/978-981-15-8411-4_83
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