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IEEE Transactions on Wireless Communications· 2018Q1

Joint Trajectory and Communication Design for Multi-UAV Enabled Wireless Networks

Qingqing Wu, Yong Zeng, Rui Zhang

Short summary

A novel algorithm jointly optimizes multi-UAV trajectories, user scheduling, and power control to maximize minimum user throughput, achieving significant gains over benchmark schemes.

AI-generated from the title and abstract; the full text is not read.

Key points

  • Joint optimization of UAV trajectory, user scheduling, and power control maximizes minimum user throughput.
  • An iterative algorithm using block coordinate descent and successive convex optimization solves the mixed integer non-convex problem.
  • The algorithm alternately optimizes user scheduling/association, UAV trajectory, and transmit power.
  • A low-complexity initialization scheme based on circular trajectories and circle packing is proposed for UAV path design.

AI-generated from the title and abstract; the full text is not read.

Abstract

Due to the high maneuverability, flexible deployment, and low cost, unmanned aerial vehicles (UAVs) have attracted significant interest recently in assisting wireless communication. This paper considers a multi-UAV enabled wireless communication system, where multiple UAV-mounted aerial base stations are employed to serve a group of users on the ground. To achieve fair performance among users, we maximize the minimum throughput over all ground users in the downlink communication by optimizing the multiuser communication scheduling and association jointly with the UAV's trajectory and power control. The formulated problem is a mixed integer nonconvex optimization problem that is challenging to solve. As such, we propose an efficient iterative algorithm for solving it by applying the block coordinate descent and successive convex optimization techniques. Specifically, the user scheduling and association, UAV trajectory, and transmit power are alternately optimized in each iteration. In particular, for the nonconvex UAV trajectory and transmit power optimization problems, two approximate convex optimization problems are solved, respectively. We further show that the proposed algorithm is guaranteed to converge. To speed up the algorithm convergence and achieve good throughput, a low-complexity and systematic initialization scheme is also proposed for the UAV trajectory design based on the simple circular trajectory and the circle packing scheme. Extensive simulation results are provided to demonstrate the significant throughput gains of the proposed design as compared to other benchmark schemes.

The authors' abstract, as published at the source. IEEE Transactions on Wireless Communications, 2018 · DOI ↗

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Field: Aerospace Engineering

Aerospace EngineeringEngineering