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Machine-Learning-Assisted Transmission Power Control for LoRaWAN Considering Environments With High Signal- to -Noise Variation

Journal article

Fast facts

Internal authorship
Prof. Dr. Christof Röhrig
Further publishers
Mauricio González-Palacio, Diana Tobón-Vallejo, Lina M. Sepúlveda-Cano, Mario MAURICIO, Long Bao Le
Publishment
- IEEE (New York, NY) 2024
Purpose of publication
Research
Organizational unit
IDiAL
Subjects
- Ingenieurinformatik/Technische Informatik
Research structures
- Institute for the Digital Transformation of Application and Living Domains (IDiAL)
Research fields
- Information technology

Quote

M. González-Palacio, D. Tobón-Vallejo, L. M. Sepúlveda-Cano, M. MAURICIO, C. Röhrig, and L. B. Le, "Machine-Learning-Assisted Transmission Power Control for LoRaWAN Considering Environments With High Signal-to-Noise Variation," IEEE access : practical research, open solutions, pp. 54449-54470, 2024.