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Dynamic Interference Management for UAV-Assisted Wireless Networks

delete2022-04-01
delete17
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OA
AI
A
Ali Rahmati
S
Seyyedali Hosseinalipour
Y
Yavuz Yapıcı
X
Xiaofan He
İ
İsmail Güvenç
H
Huaiyu Dai *
A
Arupjyoti Bhuyan
DOI:10.1109/TWC.2021.3114234delete
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摘要

摘要

En 中文
We investigate a transmission mechanism aiming to improve the data rate between a base station (BS) and a user equipment (UE) through deploying multiple relaying UAVs. We consider the effect of interference incurred by another established communication network, which makes our problem challenging and different from the state of the art. We aim to design the 3D trajectories and power allocation for the UAVs to maximize the data flow of the network while keeping the interference on the existing communication network below a threshold. We utilize the mobility feature of the UAVs to evade the (un)-intended interference caused by (un)-intentional interferers. To this end, we propose an alternating-maximization approach to jointly obtain the 3D trajectories and the UAVs transmission powers. We handle the 3D trajectory design by resorting to spectral graph theory and subsequently address the power allocation through convex optimization techniques. We also approach the problem from the intentional interferer's perspective where smart jammers chase the UAVs to effectively degrade the data flow of the network. We also extend our work to the case for multiple UEs. Finally, we demonstrate the efficacy of our proposed method through extensive simulations.
Keyword:
Interference
Trajectory
Three-dimensional displays
Wireless communication
Jamming
Resource management
Unmanned aerial vehicles
Unmanned aerial vehicle (UAV)
jammer
trajectory optimization
power allocation
interference management
smart interferer
spectral graph theory
Cheeger constant

期刊

IEEE Transactions on Wireless Communications 封面图
IEEE Transactions on Wireless Communications
IF:
10.7
论文数:
1.3W
被引数:
5.3W

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qualcomm
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782
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university of south carolina columbia
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Purdue University System 封面图
Purdue University System
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P
Purdue University
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2.7W
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N
North Carolina State University
学者数:
2.6W
论文数: 2.3W
被引数: 3.7W
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