Dynamic Interference Management for UAV-Assisted Wireless Networks

TL;DR

This paper proposes a joint 3D trajectory and power allocation optimization for UAV-assisted wireless networks to maximize data rates while mitigating interference from other networks and smart jammers.

Contribution

It introduces a novel optimization framework combining spectral graph theory and convex optimization for UAV trajectory and power control under interference constraints.

Findings

Optimized UAV trajectories improve data rates significantly.

The approach effectively mitigates interference from both reckless and smart jammers.

Simulation results validate the proposed method's efficacy.

Abstract

The deployment of unmanned aerial vehicles (UAVs) is proliferating as they are effective, flexible and cost-efficient devices for a variety of applications ranging from natural disaster recovery to delivery of goods. We investigate a transmission mechanism aiming to improve the data rate between a base station (BS) and a user equipment through deploying multiple relaying UAVs. We consider the effect of interference, which is incurred by the nodes of another established communication network. Our primary goal is to design the 3D trajectories and power allocation for the UAVs to maximize the data flow while the interference constraint is met. The UAVs can reconfigure their locations to evade the unintended/intended interference caused by reckless/smart interferers. We also consider the scenario in which smart jammers chase the UAVs to degrade the communication quality. In this case, we investigate the problem from the perspective of both UAV network and smart jammers. An alternating-maximization approach is proposed to address the joint 3D trajectory design and power allocation problem. We handle the 3D trajectory design by resorting to spectral graph theory and subsequently address the power allocation through convex optimization techniques. Finally, we demonstrate the efficacy of our proposed method through simulations.