Dynamic Interference Management for UAV-Assisted Wireless Networks

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.

Optimal Jammer Placement in UAV-assisted Relay Networks

“…In the context of UAV relay networks, we were among the first to study the placement optimization and trajectory design for UAV relays to evade the interference caused by the jammers [9]- [12]. Considering a major source of interference (MSI), the optimal placement of the UAV relays along with identifying the minimum number of required UAVs to satisfy a desired communication quality are studied in [9], [10].…”

“…Considering a major source of interference (MSI), the optimal placement of the UAV relays along with identifying the minimum number of required UAVs to satisfy a desired communication quality are studied in [9], [10]. A joint power allocation and trajectory design is proposed in [11], [12] to evade the interference caused by another established wireless network. In [13], the optimal position and jamming power of a legitimate UAV monitor are obtained to maximize the average surveillance rate.…”

Lifetime Maximization for UAV-assisted Data Gathering Networks in the Presence of Jamming

“…The leader UAV (with a higher battery capacity and transmission power compared to the rest of UAVs) is in charge of data forwarding to a base station (BS) through backhaul network. Second, we formulate and solve the problem of obtaining the best positions of the collecting UAVs and the UAV leader so as to maximize the lifetime of the network while explicitly considering the existence of multiple sources of interference in the environment.It is among the first work addressing the network lifetime maximization problem considering multiple jammers, and thus also contributes to the literature on UAV-assisted network design in the presence of jammers in the environment (e.g., [11]- [16]).…”