UAV-Assisted Wireless Backhaul Networks: Connectivity Analysis of Uplink Transmissions

Yalin Liu, Qiu Wang, Hong-Ning Dai*, Yaru Fu, Ning Zhang, Chi Chung Lee

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

2 Citations (Scopus)

Abstract

With the proliferation of wireless communication technologies, user equipments (UEs) in rural or disaster areas have data-transmission demand to upload their data to the core network. However, current networks lack coverage in rural or disaster areas due to the absence or damage of/to infrastructures. To address this issue, a promising solution is employing unmanned aerial vehicles (UAVs) as relays to assist the wireless backhaul of UEs to remote ground base stations (GBSs). For convenience, we call these networks as UAV-assisted wireless backhaul networks (UABNs). This paper aims to investigate the uplink transmission performance in UABNs. In particular, we analyze the connectivity of the two-hop uplink path from a reference UE to a remote GBS via a reference UAV. Compared with previous studies that mostly analyze single-hop transmissions, the investigation of the path connectivity of UABNs is more complex because of the location variation of UAVs as well as the complexity of the interference at the two-hop path. Considering the distribution of UEs, we exploit stochastic geometry to establish a theoretical model to analyze the path connectivity of UABNs. In our model, UEs form clusters according to a Poisson Cluster Process (PCP) and one UAV serves one UE cluster. Based on our model, the connectivity of a two-hop uplink path is finally derived by limiting the signal-to-noise-plus-interference (SINR) above a threshold. Theoretical values of the connectivity of UABNs match with simulation results, confirming the accuracy of the proposed analytical model. Our results also offer insightful implications for constructing and configuring UABNs.
Original languageEnglish
Pages (from-to)12195-12207
Number of pages13
JournalIEEE Transactions on Vehicular Technology
Volume72
Issue number9
Early online date18 Apr 2023
DOIs
Publication statusPublished - Sept 2023

Scopus Subject Areas

  • Aerospace Engineering
  • Applied Mathematics
  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Automotive Engineering

User-Defined Keywords

  • Connectivity Analysis
  • Nakagami Channel Fading
  • Poisson Cluster Process (PCP)
  • Stochastic Geometry
  • Unmanned Aerial Vehicle (UAV)
  • Uplink Transmissions

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