manuscript_yi-final - black.pdf (667.52 kB)
Download file

Joint 3-D Positioning and Power Allocation for UAV Relay Aided by Geographic Information

Download (667.52 kB)
posted on 2021-12-13, 14:59 authored by Pengfei YiPengfei Yi, Liang Zhu, Lipeng Zhu, Zhenyu Xiao, Xiangshuai Geng
In this paper, we study to employ geographic information to address the blockage problem of air-to-ground links between UAV and terrestrial nodes. In particular, a UAV relay is deployed to establish communication links from a ground base station to multiple ground users. To improve communication capacity, we fifirst model the blockage effect caused by buildings according to the three-dimensional (3-D) geographic information. Then, an optimization problem is formulated to maximize the minimum capacity among users by jointly optimizing the 3-D position and power allocation of the UAV relay, under the constraints of link capacity, maximum transmit power, and blockage. To solve this complex non-convex problem, a two-loop optimization framework is developed based on Lagrangian relaxation. The outer-loop aims to obtain proper Lagrangian multipliers to ensure the solution of the Lagrangian problem converge to the tightest upper bound on the original problem. The inner-loop solves the Lagrangian problem by applying the block coordinate descent (BCD) and successive convex approximation (SCA) techniques, where UAV 3-D positioning and power allocation are alternately optimized in each iteration. Simulation results confifirm that the proposed solution signifificantly outperforms two benchmark schemes and achieves a performance close to the upper bound on the UAV relay system.


Email Address of Submitting Author

Submitting Author's Institution

School of Electronic and Information Engineering, Beihang University, Beijing 100191, China

Submitting Author's Country

  • China