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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Acknowledgment
This work was supported by the Joint Foundations of the National Natural Science Foundations of China and the Civil Aviation of China under Grant U1833102 and the Natural Science Foundation of Liaoning Province under Grant 2019-ZD-0014 and 2020-HYLH-13.
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Liu, X., Lai, B. (2021). Resource Optimization for UAV-Enabled Multichannel Internet of Things. In: Guan, M., Na, Z. (eds) Machine Learning and Intelligent Communications. MLICOM 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 342. Springer, Cham. https://doi.org/10.1007/978-3-030-66785-6_10
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DOI: https://doi.org/10.1007/978-3-030-66785-6_10
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