TY - GEN
T1 - Resource Allocation for Multi-UAV Assisted Energy-Efficient IoT Communications with Co-channel Interference
AU - Liu, Yanming
AU - Liu, Kai
AU - Han, Jinglin
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 - Due to the superiority of high mobility, low labor cost and line of sight (LOS) prominent links of unmanned aerial vehicles (UAVs), UAV-assisted communications are increasingly attractive in emerging Internet of Things (IoT) networks. In this paper, we study the resource (including node association, channel and transmit power) allocation for the multi-UAV assisted IoT network in the uplink, considering the co-channel interference, limited task and channel capacity for the UAV-BSs. To provide long-term services for the IoT nodes, the total transmit power of the IoT nodes is minimized. We decouple the original nonconvex problem into three subproblems, i.e., node clustering, channel assignment, and transmit power control. To find the suboptimal solutions of the first two challenging subproblems, a balanced node clustering algorithm and a Hungarian-based Channel Assignment (HCA) algorithm are proposed, respectively. Then, the transmit power control problem turns into a convex problem, which can be calculated within polynomial time. Simulation results are provided to demonstrate the reliability and effectiveness of the overall strategy.
AB - Due to the superiority of high mobility, low labor cost and line of sight (LOS) prominent links of unmanned aerial vehicles (UAVs), UAV-assisted communications are increasingly attractive in emerging Internet of Things (IoT) networks. In this paper, we study the resource (including node association, channel and transmit power) allocation for the multi-UAV assisted IoT network in the uplink, considering the co-channel interference, limited task and channel capacity for the UAV-BSs. To provide long-term services for the IoT nodes, the total transmit power of the IoT nodes is minimized. We decouple the original nonconvex problem into three subproblems, i.e., node clustering, channel assignment, and transmit power control. To find the suboptimal solutions of the first two challenging subproblems, a balanced node clustering algorithm and a Hungarian-based Channel Assignment (HCA) algorithm are proposed, respectively. Then, the transmit power control problem turns into a convex problem, which can be calculated within polynomial time. Simulation results are provided to demonstrate the reliability and effectiveness of the overall strategy.
KW - Energy-efficient Internet of Things
KW - Matching theory
KW - Multi-UAV
KW - Resource allocation
KW - Uplink
UR - https://www.scopus.com/pages/publications/85101350674
U2 - 10.1007/978-3-030-67514-1_5
DO - 10.1007/978-3-030-67514-1_5
M3 - 会议稿件
AN - SCOPUS:85101350674
SN - 9783030675134
T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
SP - 54
EP - 67
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 -