TY - GEN
T1 - A Deployment Method Based on Artificial Bee Colony Algorithm for UAV-Mounted Base Stations
AU - Zhang, Chen
AU - Zhang, Leyi
AU - Liu, Yanming
AU - Zhu, Lipeng
AU - Xiao, Zhenyu
N1 - Publisher Copyright:
© 2021, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.
PY - 2021
Y1 - 2021
N2 - With high mobility and low cost, unmanned aerial vehicles (UAVs) are widely used in wireless communication systems. Especially in emergencies, UAVs can be used as aerial base stations (BSs) to provide wireless communication services for ground users. Aiming to reduce cost, we prefer to minimizing the number of UAVs needed to serve all users. Compared with the existing works, we take the constraints of required quality of service (QoS) and the service ability of each UAV into consideration. To solve the formulated mixed-integer programming problem, we propose a three-step method. First, to ensure each UAV can serve more users, the maximum service radius of UAVs is derived according to users’ QoS requirement. Second, we propose an artificial bee colony (ABC) algorithm based clustering method to cluster users into different groups in the horizontal direction. Third, we adjust the positions of UAVs to obtained a better communication performance of the wireless communication system. Finally, the simulation results are presented to demonstrate the superiority of the proposed method.
AB - With high mobility and low cost, unmanned aerial vehicles (UAVs) are widely used in wireless communication systems. Especially in emergencies, UAVs can be used as aerial base stations (BSs) to provide wireless communication services for ground users. Aiming to reduce cost, we prefer to minimizing the number of UAVs needed to serve all users. Compared with the existing works, we take the constraints of required quality of service (QoS) and the service ability of each UAV into consideration. To solve the formulated mixed-integer programming problem, we propose a three-step method. First, to ensure each UAV can serve more users, the maximum service radius of UAVs is derived according to users’ QoS requirement. Second, we propose an artificial bee colony (ABC) algorithm based clustering method to cluster users into different groups in the horizontal direction. Third, we adjust the positions of UAVs to obtained a better communication performance of the wireless communication system. Finally, the simulation results are presented to demonstrate the superiority of the proposed method.
KW - Aerial base stations
KW - Three-dimensional deployment
KW - Unmanned aerial vehicles
KW - Wireless communication
UR - https://www.scopus.com/pages/publications/85101409410
U2 - 10.1007/978-3-030-67514-1_12
DO - 10.1007/978-3-030-67514-1_12
M3 - 会议稿件
AN - SCOPUS:85101409410
SN - 9783030675134
T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
SP - 143
EP - 155
BT - IoT as a Service - 6th EAI International Conference, IoTaaS 2020, Proceedings
A2 - Li, Bo
A2 - Li, Changle
A2 - Yang, Mao
A2 - Yan, Zhongjiang
A2 - Zheng, Jie
PB - Springer Science and Business Media Deutschland GmbH
T2 - 6th EAI International Conference on IoT as a Service, IoTaaS 2020
Y2 - 19 November 2020 through 20 November 2020
ER -