Abstract
With high mobility and low cost, unmanned aerial vehicles (UAVs) are widely used in wireless communication systems. Especially in emergencies, UAVs can be used as aerial base stations (BSs) to provide wireless communication services for ground users. Aiming to reduce cost, we prefer to minimizing the number of UAVs needed to serve all users. Compared with the existing works, we take the constraints of required quality of service (QoS) and the service ability of each UAV into consideration. To solve the formulated mixed-integer programming problem, we propose a three-step method. First, to ensure each UAV can serve more users, the maximum service radius of UAVs is derived according to users’ QoS requirement. Second, we propose an artificial bee colony (ABC) algorithm based clustering method to cluster users into different groups in the horizontal direction. Third, we adjust the positions of UAVs to obtained a better communication performance of the wireless communication system. Finally, the simulation results are presented to demonstrate the superiority of the proposed method.
This work was supported in part by the National Key Research and Development Program (Grant Nos. 2016YFB1200100), and the National Natural Science Foundation of China (NSFC) (Grant Nos. 61827901 and 91738301).
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Zhang, C., Zhang, L., Liu, Y., Zhu, L., Xiao, Z. (2021). A Deployment Method Based on Artificial Bee Colony Algorithm for UAV-Mounted Base Stations. In: Li, B., Li, C., Yang, M., Yan, Z., Zheng, J. (eds) IoT as a Service. IoTaaS 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 346. Springer, Cham. https://doi.org/10.1007/978-3-030-67514-1_12
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DOI: https://doi.org/10.1007/978-3-030-67514-1_12
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