Research on Throughput of UAV-Assisted Multi-Tier Millimeter-Wave Heterogeneous Networks

The hotspot scenarios of the Fifth-Generation(5G)/Beyond 5G(B5G) networks frequently encounter surges in data traffic and the problem of spatial coupling between the base stations and the User Equipment(UE).To address the problems,an Unmanned Aerial Vehicle(UAV)-assisted multi-tier millimeter-wave h...

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Bibliographic Details
Published in:Jisuanji gongcheng
Main Author: LU Yi, JIA Xiangdong, JI Pengshan, Lü Yaping
Format: Article
Language:English
Published: Editorial Office of Computer Engineering 2021-07-01
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Online Access:https://www.ecice06.com/fileup/1000-3428/PDF/20210724.pdf
Description
Summary:The hotspot scenarios of the Fifth-Generation(5G)/Beyond 5G(B5G) networks frequently encounter surges in data traffic and the problem of spatial coupling between the base stations and the User Equipment(UE).To address the problems,an Unmanned Aerial Vehicle(UAV)-assisted multi-tier millimeter-wave heterogeneous cellular network model based on Poisson Cluster Process(PCP) is constructed.With the goal of improving the Average Area Throughput(AAT) of the multi-tier networks,this paper also proposes a 4-tier association scheme based on the maximum Bias Received Power(BRP) criterion.The Laplace transform is performed on the interference from base stations at each tier on UE. Based on the transform result and the UE association probability,the mathematical analysis expression of conditional coverage probability and the AAT of the system are derived by using the mm-Wave transmission model and random geometry mathematical tools.Then the paper describes how the distribution variance of the UAV base station projections on ground and the density of ground base stations influence the association probability.The system AAT acquired by different association schemes are also compared.Simulation results show that the 4-tier association scheme based on the maximum BRP criterion can significantly improve the system AAT and enhance the system performance.
ISSN:1000-3428