Joint Resource Allocation and Location Optimization for UAV-Assisted IoT Wireless Networks in the 6G Era

Abstract

In this paper, unmanned aerial vehicle (UAV) is deployed between base station (BS) and internet of things (IoT) devices to provide ultra-reliable and low-latency communication (URLLC) services via using short-packet communication. In order to ensure fairness, this paper investigates the problem of maximizing the minimum effective amount of information received by IoT devices in the system under the condition that the amount of effective information transmitted from BS to UAV is greater than the sum of the effective amount of information transmitted from UAV to IoT devices. The problem is a very complex mixed integer non-convex optimization problem. To solve it, we first deduce the closed-form solution of blocklength allocation with the given UAV's position and channel allocation, and then design an alternate iterative algorithm based on successive convex approximation technique and stochastic learning automata approach. The simulation results show that under different parameters, the proposed algorithm can converge to the optimal solution.