Joint Power Control and Bandwidth Allocation for UAV-Assisted Integrated Communication and Localization Networks

Emergency scenarios, e.g., earthquakes or forest fires, typically call for reliable communication and accurate localization for efficient rescue. Unmanned aerial vehicles (UAVs) regarded as flying base stations and wireless localization anchors are suitable to provide both services. One critical challenge is to guarantee the performances of both communication and localization relying on limited radio resources. In this paper, we target at orchestrating the resource provisioning for UAV-assisted communication and localization networks via flexible power control and bandwidth allocation. To this end, we establish an integrated communication-localization resource allocation problem to maximize the communication capacity and localization accuracy, subjecting to the limited power and bandwidth constraints. To solve this mixed-integer non-convex optimization problem, we propose a joint power control and bandwidth allocation algorithm integrating particle swarm optimization (PSO) algorithm and greedy algorithm to optimize transmit power and bandwidth, respectively. Simulation results show that our approach achieves a 23% increase in data transmission rate and a 65% decrease in localization error over the average allocation scheme.