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Unmanned aerial vehicle (UAV) communication has emerged as a prominenttechnology for emergency communications (e.g., natural disaster) in theInternet of Things (IoT) networks to enhance the ability of disasterprediction, damage assessment, and rescue operations promptly. A UAV can bedeployed as a flying base station (BS) to collect data from time-constrainedIoT devices and then transfer it to a ground gateway (GW). In general, thelatency constraint at IoT devices and UAV's limited storage capacity highlyhinder practical applications of UAV-assisted IoT networks. In this paper,{full-duplex (FD) radio} is adopted at the UAV to overcome these challenges. Inaddition, half-duplex (HD) scheme for UAV-based relaying is also considered toprovide a comparative study between two modes (viz., FD and HD). {Herein, adevice is considered to be successfully served iff its data is collected by theUAV and conveyed to GW timely during flight time}. In this context, we aim tomaximize the number of served IoT devices by jointly optimizing bandwidth,power allocation, and the UAV trajectory while satisfying each device'srequirement and the UAV's limited storage capacity. The formulated optimizationproblem is troublesome to solve due to its non-convexity and combinatorialnature. {Towards appealing applications, we first relax binary variables intocontinuous ones and transform the original problem into a more computationallytractable form.} By leveraging inner approximation framework, we derive newlyapproximated functions for non-convex parts and then develop a simple yetefficient iterative algorithm for its solutions. Next, we attempt to maximizethe total throughput subject to the number of served IoT devices. Finally,numerical results show that the proposed algorithms significantly outperformbenchmark approaches in terms of the number of served IoT devices and systemthroughput.

UAV Relay-Assisted Emergency Communications in IoT Networks: Resource Allocation and Trajectory Optimization