Efficient Resource Allocation Framework for LoRaWAN Network via Online Learning
Published in IEEE Internet of Things Journal, 2026
This work studies efficient carrier frequency, spreading factor, and transmission power allocation for LoRaWAN networks. The optimization is formulated as a combinatorial multi-armed bandit problem, with distributed and hybrid online learning frameworks designed for non-stationary wireless environments.
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Recommended citation: R. Wang, W. Li, J. Ren, et al. (2026). "Efficient Resource Allocation Framework for LoRaWAN Network via Online Learning." IEEE Internet of Things Journal. Accepted.
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