Trajectory and Power Optimization for Multi-UAV Enabled Emergency Wireless Communications Networks

TL;DR

This paper proposes a joint trajectory and power optimization framework for multi-UAV emergency communication networks, significantly enhancing capacity through iterative convex approximation techniques.

Contribution

It introduces a novel joint optimization approach for UAV trajectory and power allocation in emergency communications, employing successive convex approximation and block coordinate update methods.

Findings

Capacity increases significantly with proposed optimization.

Iterative algorithms converge to near-optimal solutions.

Simulation demonstrates effectiveness over baseline methods.

Abstract

Recently, unmanned aerial vehicle (UAV) has attracted much attention due to its flexible deployment and controllable mobility. As the general communication network cannot meet the emergency requirements, in this paper we study the multi-UAV enabled wireless emergency communication system. Our goal is to maximize the capacity with jointly optimizing trajectory and allocating power. To tackle this non-convex optimization problem, we first decompose it into two sub-problems to optimize the trajectory and power allocation, respectively. Then, we propose the successive convex approximation technique and the block coordinate update algorithm to solve the two subproblems. The approximate optimal solution can be obtained after continuous iterations. Simulation results show that the capacity can be greatly increased using our proposed joint trajectory optimization and power allocation.