首页|Researchers at Faculty of Engineering Release New Data on Machine Learning (Mach ine-Learning-Assisted Transmission Power Control for LoRaWAN Considering Environ ments With High Signalto -Noise Variation)
Researchers at Faculty of Engineering Release New Data on Machine Learning (Mach ine-Learning-Assisted Transmission Power Control for LoRaWAN Considering Environ ments With High Signalto -Noise Variation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on artificial intelligen ce have been presented. According to news originating from the Faculty of Engine ering by NewsRx editors, the research stated, “To achieve an adequate tradeoff b etween range and energy efficiency, LoRaWAN End Nodes (ENs) choose their transmi ssion parameters using an Adaptive Data Rate (ADR) scheme based on the maximum v alue of previous Signal-to-Noise (SNR) values. However, the ADR only performs we ll in favorable channel conditions.” Financial supporters for this research include Universidad De Medellin.
Faculty of EngineeringCyborgsEmergin g TechnologiesMachine Learning
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