4.7 Article

3D Location Optimization for UAV-Aided Uplink/Downlink Transmissions

Journal

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
Volume 71, Issue 4, Pages 4477-4482

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TVT.2022.3145589

Keywords

Optimization; Three-dimensional displays; Optimized production technology; Autonomous aerial vehicles; Uplink; Downlink; Wireless networks; Unmanned aerial vehicle (UAV); aerial base station; 3D location optimization; rate maximization

Funding

  1. National Natural Science Foundation of China [62071253, 61771258, 61901229]
  2. Open Project Funding of StateKey Laboratory of Smart Grid Protection and Operational Control (Research on technologies of relay protection service over 5G network) [SGNR0000KJJS1907531]
  3. Open Research Fund of the Key Laboratory of Complex Electromagnetic EnvironmentEffects on Electronics and Information System(CEMEE) [CEMEE2021Z0102B]
  4. Nanjing University of Posts and Telecommunications [NY220179]

Ask authors/readers for more resources

This paper investigates the placement problem of a UAV base station serving multiple ground users. The goal is to optimize the 3D location of the UAV to maximize the minimum average sum rate, considering both uplink and downlink transmissions. The problem is divided into horizontal coordinate and height optimization subproblems, and solutions are obtained using the CVX toolbox. Numerical results show the superiority of the proposed optimization scheme compared to other methods.
In this paper, we investigate the placement of an unmanned aerial vehicle (UAV) base station (BS) which serves multiple ground users (GUs). By taking into account both the uplink and downlink transmissions, we aim to optimize the 3D location of the UAV for maximizing the minimum average sum rate. The 3D location optimization problem is divided into the horizontal coordinate and the height optimization subproblems, respectively. We further apply the CVX toolbox to solve the horizontal coordinate optimization problem and transform the height optimization problem into the elevation angle optimization problem to obtain its solution. Our numerical results show that the minimum average sum rate of the proposed 3D location optimization scheme is higher than that of the numerical search (NS) based location optimization method, that of the energy-efficient maximal coverage (EEMC) based location optimization method and that of the random location method, for different distributions of GUs' locations.

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