Interference Coordination for Aerial and Terrestrial Nodes in Three-Tier LTE-Advanced HetNet

Kumbhar, Abhaykumar; Binol, Hamidullah; Güvenç, İsmail; Akkaya, Kemal

doi:10.48550/arxiv.1809.00361

Cited by 1 publication

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“…T HE utilization of unmanned aerial vehicles (UAVs) has recently become a practical approach for a variety of mission-driven applications including border surveillance, natural disaster aftermath, monitoring, search and rescue, and purchase delivery [2]- [7]. Owing to the low acquisition cost of UAVs as well as their fast deployment and efficient coverage capabilities, UAV-assisted wireless communications has attracted extensive interest recently [8]- [14]. Specifically, the 3D mobility feature of UAVs and the coexistence of relaying UAVs with other existing communication networks (e.g., cellular networks) have led to new design challenges and opportunities in these networks [15], [16], which are not investigated Part of the material will be presented in IEEE Globecom 2019 [1].…”

Section: Introductionmentioning

confidence: 99%

Dynamic Interference Management for UAV-Assisted Wireless Networks

Rahmati¹,

Hosseinalipour²,

Yapıcı³

et al. 2019

Preprint

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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.

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