Abstract
Deploying the unmanned aerial vehicle (UAV) as an aerial base station to establish or assist wireless communication networks is a promising technology. However, there are also some significant challenges involved in planning, designing, and deploying the UAV base station. In this paper, we aim to find out the optimal location of UAV, by maximizing the capacity of all users. First, we model the rician factor as a function of the elevation angle between the terrestrial user and UAV, and derive the exact ergodic capacity expression, and in addition, give the approximate closed-form expression with arbitrary small error. Subsequently, an iterative algorithm based on particle swarm optimization (PSO) is proposed to solve the optimal deployment of UAV. The effectiveness of the algorithm is demonstrated on the different distribution of the terrestrial users.
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Project Supported by CAEP Foundation Grant No. CX20200010.
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Zhang, Q. et al. (2021). UAV-Assisted Wireless Communication Network Capacity Analysis and Deployment Decision. 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_155
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DOI: https://doi.org/10.1007/978-981-15-8411-4_155
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