Joint Trajectory and Hybrid Beamforming Design for Multi Antenna UAV Enabled Network

Feng Zhou,Rugang Wang

doi:10.1109/access.2021.3068289

Abstract

In this paper, we investigate the transmission design in a multi antenna unmanned aerial vehicle (UAV)-enabled network, where the flight trajectory and hybrid digital and analog beamforming (BF) of the UAV are jointly designed, for both the fully-connected structure and sub-connected structure. Our goal is to maximize the weighted sum rate for multiply ground users, subject to the transmit power and trajectory constraints. Due to the non-convex property of the formulated problem, we propose to linearize the objective by using a newly Lagrangian dual transform. Then, an alternating optimization (AO) method is proposed, where the digital BF can be obtained by utilizing the bisection search method, while the analog BF and the flight trajectory are handled by the alternating direction of multipliers method (ADMM) algorithm. Finally, simulation results verify the performance of the proposed algorithm.

Highlights

Recently, unmanned aerial vehicle (UAV) is treated as an emerging technology which has been widely investigated in military, public, and civil scenarios [1]
Since it is difficult to obtain the globally optimal solution, we propose an alternating optimization (AO) algorithm to obtain a suboptimal solution, where each subproblem can be solved efficiently and the variables are alternately optimized in an iterative manner until convergence
The horizontal coordinates of the initial and final locations of the UAV are set as q0 = [100, 200]T and qF = [100, −200]T, respectively

Summary

Introduction

Unmanned aerial vehicle (UAV) is treated as an emerging technology which has been widely investigated in military, public, and civil scenarios [1]. Due to advantages such as low-altitude deployment and strong communication links with the ground, UAVs have been widely used in several applications [2]. Optimize the trajectory and communication resource is of great importance in UAV applications [4]. In [5], the authors investigated the joint trajectory and communication design for multi-UAV enabled wireless networks. While in [7], the authors investigated the multi-UAV interference coordination by joint trajectory and power control. In [8], the authors investigated the joint cache placement, flight

Objectives

Results

Conclusion