TY - GEN
T1 - Coverage Capacity Optimization of UAV-enabled Networks
AU - Yang, Mingxi
AU - Zhou, Jianshan
AU - Tian, Daxin
AU - Duan, Xuting
AU - Zhao, Dezong
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - With the increasing demand for mobile communication, traditional wireless communication technologies are facing limitations in capacity and coverage range. To address this challenge, Unmanned aerial vehicle (UAV) clusters have been proposed as a solution to provide assisted wireless network services to ground users, thereby optimizing the service quality of cellular networks and increasing the coverage range of wireless communication. To enhance the coverage capacity of UAV clusters, we proposed a UAV cluster coverage capacity model, based on this model, we proposed a UAV cluster coverage capacity optimization algorithm for the UAV cluster assisted communication scenario, using the Particle Swarm Optimization (PSO) algorithm. We also conducted simulation experiments on the proposed algorithm. The simulation results showed that the algorithm has good convergence.
AB - With the increasing demand for mobile communication, traditional wireless communication technologies are facing limitations in capacity and coverage range. To address this challenge, Unmanned aerial vehicle (UAV) clusters have been proposed as a solution to provide assisted wireless network services to ground users, thereby optimizing the service quality of cellular networks and increasing the coverage range of wireless communication. To enhance the coverage capacity of UAV clusters, we proposed a UAV cluster coverage capacity model, based on this model, we proposed a UAV cluster coverage capacity optimization algorithm for the UAV cluster assisted communication scenario, using the Particle Swarm Optimization (PSO) algorithm. We also conducted simulation experiments on the proposed algorithm. The simulation results showed that the algorithm has good convergence.
KW - communication coverage
KW - particle swarm optimization (PSO)
KW - unmanned aerial vehicle (UAV)
UR - https://www.scopus.com/pages/publications/85173071347
U2 - 10.1109/ISoIRS59890.2023.00017
DO - 10.1109/ISoIRS59890.2023.00017
M3 - 会议稿件
AN - SCOPUS:85173071347
T3 - Proceedings - 2023 International Symposium on Intelligent Robotics and Systems, ISoIRS 2023
SP - 34
EP - 38
BT - Proceedings - 2023 International Symposium on Intelligent Robotics and Systems, ISoIRS 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd International Symposium on Intelligent Robotics and Systems, ISoIRS 2023
Y2 - 26 May 2023 through 28 May 2023
ER -