We develop an asynchronous framework across user and kernel spaces for deep learning applications on the improvement of Wi-Fi performance and implement it in the driver of commodity Intel Wi-Fi cards. Under this framework, we apply deep reinforcement learning to developing an intelligent rate adaptation (RA) algorithm (DRL-RA), which can achieve the highest throughput in varying channel conditions given many rate options of current Wi-Fi technologies. Its on-learning capability can learn how to efficiently approach the best rate from the experiences of its common usage pattern and environment.
National Yang Ming Chiao Tung University (NYCU) was formed in 2021 through the merger of National Yang Ming University and National Chiao Tung University. Located in Hsinchu, Taiwan, NYCU is a leading institution specializing in technology, engineering, medicine, and social sciences. The university is known for its strengths in research and innovation, particularly in areas such as information technology, biomedicine, and artificial intelligence. NYCU fosters interdisciplinary collaboration, global partnerships, and aims to nurture professionals with strong academic foundations and leadership skills to address societal challenges and contribute to technological advancements.
Intelligent Non-Invasive LVH Risk Prediction Techniques based on ECG Deep Learning
i-Dris: Intelligent Rapid Deployment for Reconfigurable Intelligent Surface in Millimeter Wave Communication System
An Artificial Intelligence Medicine Recognition and Verification System in Hospital Dispensing Room
Development of AI assisted assessment and intervention system based on the culture contextualization for care of people with neurocognitive disoder.
Technology maturity:Experiment stage
Exhibiting purpose:Display of scientific results
Trading preferences:Technical license/cooperation、Negotiate by self
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