TY - JOUR
T1 - UAV-Assisted Wireless Backhaul Networks
T2 - Connectivity Analysis of Uplink Transmissions
AU - Liu, Yalin
AU - Wang, Qiu
AU - Dai, Hong-Ning
AU - Fu, Yaru
AU - Zhang, Ning
AU - Lee, Chi Chung
N1 - Funding Information:
The work of QiuWang was supported in part by the Natural Science Foundation of Jiangsu Province under Grant BK20210490, and in part by the China Postdoctoral Science Foundation under Grant 2020M681765. The work of Yaru Fu was supported by the Hong Kong Research Matching Grant (RMG) in the Central Pot under Project CP/2022/2.1.
PY - 2023/9
Y1 - 2023/9
N2 - 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.
AB - 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.
KW - Connectivity Analysis
KW - Nakagami Channel Fading
KW - Poisson Cluster Process (PCP)
KW - Stochastic Geometry
KW - Unmanned Aerial Vehicle (UAV)
KW - Uplink Transmissions
UR - http://www.scopus.com/inward/record.url?scp=85153527625&partnerID=8YFLogxK
U2 - 10.1109/TVT.2023.3268025
DO - 10.1109/TVT.2023.3268025
M3 - Journal article
AN - SCOPUS:85153527625
SN - 0018-9545
VL - 72
SP - 12195
EP - 12207
JO - IEEE Transactions on Vehicular Technology
JF - IEEE Transactions on Vehicular Technology
IS - 9
ER -