Abstract
With the gradual deployment of the fifth generation (5G) communication network, various challenging requirements are urgently expected to be met. One of the most important challenges is to ensure service quality under explosive traffic volume, which is putting pressure on the cellular network. In this paper, we aim to introduce the Unmanned Aerial Vehicles (UAV) to assist the existing base stations (BS), under an overloaded cellular network. Specifically, we suggest an Extended Kalman Filter (EKF) based technique to help the BS get the real-time locations of multiple UAVs. Then, a multiple access strategy is designed to arrange the users to communicate with the nearby UAVs, instead of the BS. Numerical simulation results show that the average network throughput can be significantly improved by introducing UAVs, showing the great potential of our UAV-assisted communication scheme in future 5G network.
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Tao, Y., Zhang, Q., Li, B., Zhao, C. (2020). Multiple UAV Assisted Cellular Network: Localization and Access Strategy. In: Liang, Q., Wang, W., Liu, X., Na, Z., Jia, M., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2019. Lecture Notes in Electrical Engineering, vol 571. Springer, Singapore. https://doi.org/10.1007/978-981-13-9409-6_190
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DOI: https://doi.org/10.1007/978-981-13-9409-6_190
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