Paper Info
Title
Interference Avoidance in UAV-Assisted Networks: Joint 3D Trajectory Design and Power Allocation
Abstract
The deployment of the unmanned aerial vehicle (UAV) has been foreseen as a promising technology for the next generation communication networks. The distance limitation imposed by the line of sight RF connection can be removed by using RF coverage from existing commercial cellular service. In this work, we consider a transmission mechanism that aims to improve the data rate between a terrestrial base station (BS) and user equipment (UE) through deploying multiple UAVs relaying the desired data flow. Considering the coexistence of this network with other established communication networks, we take into account the effect of interference, which is incurred by the existing nodes. Our primary goal is to optimize the three-dimensional (3D) trajectories and power allocation for the relaying UAVs to maximize the data flow while keeping the interference to existing nodes below a predefined threshold. An alternating-maximization strategy is proposed to solve the joint 3D trajectory design and power allocation for the relaying UAVs. To this end, we handle the information exchange within the network by resorting to spectral graph theory and subsequently address the power allocation through convex optimization techniques. Simulation results show that our approach can considerably improve the information flow while the interference threshold constraint is met.
Year
DOI
Venue
2019
10.1109/GLOBECOM38437.2019.9013532
IEEE Global Communications Conference
Keywords
DocType
ISSN
3D trajectory,ad-hoc networks,unmanned aerial vehicle (UAV),spectral graph theory,cognitive radio
Conference
2334-0983
Citations 
PageRank 
References 
0
0.34
0
Authors
7
Name
Order
Citations
PageRank
Ali Rahmati1868.67
Seyyedali Hosseinalipour200.34
Yavuz Yapici33710.10
Xiaofan He417321.82
Ismail Güvenç52041153.03
Huaiyu Dai61790173.26
Arupjyoti Bhuyan700.34