TY - GEN
T1 - Relay deployment and network optimization for NOMA-enabled double-layer airborne access vehicular ad hoc networks
AU - He, Yixin
AU - Wang, Dawei
AU - Huang, Fanghui
AU - Tang, Xiao
AU - Zhang, Ruonan
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/7/28
Y1 - 2021/7/28
N2 - In this paper, we design a nonorthogonal multiple access (NOMA)-enabled double-layer airborne access vehicular ad hoc networks (VANETs) architecture with a tethered high-altitude platform (HAP), multiple miniaturized unmanned aerial vehicles (UAVs) and vehicles, based on which the relay deployment and network optimization problems are investigated. Specifically, based on our designed architecture, we first propose a UAV relay deployment scheme by using the particle swarm optimization algorithm to maximize network coverage ratio. Then, to guarantee the performance of network edge vehicles, we introduce the NOMA technique into the double-layer airborne access VANETs. Moreover, the network optimization problem is formulated as a joint UAV height optimization, channel allocation, and security assurance problem, such that the total achievable data rate is maximized. Challenged by the coupled relationship between the optimization variables, we decouple the optimization problem as two subproblems and devise an efficient iterative algorithm to optimally allocate according to the golden section method and the matching theory. Finally, simulation results demonstrate that the proposed NOMA-enabled double-layer airborne access VANETs architecture can achieve significant performance superiority in terms of the total achievable data rate.
AB - In this paper, we design a nonorthogonal multiple access (NOMA)-enabled double-layer airborne access vehicular ad hoc networks (VANETs) architecture with a tethered high-altitude platform (HAP), multiple miniaturized unmanned aerial vehicles (UAVs) and vehicles, based on which the relay deployment and network optimization problems are investigated. Specifically, based on our designed architecture, we first propose a UAV relay deployment scheme by using the particle swarm optimization algorithm to maximize network coverage ratio. Then, to guarantee the performance of network edge vehicles, we introduce the NOMA technique into the double-layer airborne access VANETs. Moreover, the network optimization problem is formulated as a joint UAV height optimization, channel allocation, and security assurance problem, such that the total achievable data rate is maximized. Challenged by the coupled relationship between the optimization variables, we decouple the optimization problem as two subproblems and devise an efficient iterative algorithm to optimally allocate according to the golden section method and the matching theory. Finally, simulation results demonstrate that the proposed NOMA-enabled double-layer airborne access VANETs architecture can achieve significant performance superiority in terms of the total achievable data rate.
KW - High-altitude platform (HAP)
KW - Nonorthogonal multiple access (NOMA)
KW - Total achievable data rate
KW - Unmanned aerial vehicles (UAVs)
KW - Vehicular ad hoc networks (VANETs)
UR - http://www.scopus.com/inward/record.url?scp=85119370373&partnerID=8YFLogxK
U2 - 10.1109/ICCC52777.2021.9580300
DO - 10.1109/ICCC52777.2021.9580300
M3 - 会议稿件
AN - SCOPUS:85119370373
T3 - 2021 IEEE/CIC International Conference on Communications in China, ICCC 2021
SP - 1155
EP - 1160
BT - 2021 IEEE/CIC International Conference on Communications in China, ICCC 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE/CIC International Conference on Communications in China, ICCC 2021
Y2 - 28 July 2021 through 30 July 2021
ER -