Research Article
Resource Optimization for UAV-Enabled Multichannel Internet of Things
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@INPROCEEDINGS{10.1007/978-3-030-66785-6_10, author={Xin Liu and Biaojun Lai}, title={Resource Optimization for UAV-Enabled Multichannel Internet of Things}, proceedings={Machine Learning and Intelligent Communications. 5th International Conference, MLICOM 2020, Shenzhen, China, September 26-27, 2020, Proceedings}, proceedings_a={MLICOM}, year={2021}, month={1}, keywords={UAV-enabled Multichannel IoT Joint optimization Transmit rate}, doi={10.1007/978-3-030-66785-6_10} }- Xin Liu
Biaojun Lai
Year: 2021
Resource Optimization for UAV-Enabled Multichannel Internet of Things
MLICOM
Springer
DOI: 10.1007/978-3-030-66785-6_10
Abstract
In this paper, the UAV as a relay forwards the information of multichannel IoT to the data center in the case of terrestrial channel fading. Throughput maximization for the multichannel IoT is studied, respectively, subject to the constraints of information-causality as well as total power and maximum rate of UAV. An iterative joint optimization algorithm is proposed to optimize the subcarrier, power and UAV trajectory alternatively, to achieve the optimal solution. The simulations show that the dynamic subcarrier allocation outperforms the fixed subcarrier allocation, and the joint optimization algorithm can improve the transmission performance of the UAV-enabled multichannel IoT effectively.
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