Deep Learning Based LiFi Channel Optimization for Smart City IoT Systems

Key Points

• This research aims to enhance LiFi technology for better data transmission in smart city environments using deep learning techniques.
• Developed a deep learning model to optimize LiFi performance in high-traffic indoor environments.
• Conducted computer simulations to evaluate the effectiveness of the model in metro stations and hospitals.
• The deep learning model improved data transmission speed compared to traditional methods.
• Achieved higher accuracy and reduced error rates in simulations.