Cell Traffic Prediction model using various machine learning and deep learning algorithms we worked on
aneespatel22/GreenCellularNetwork
Developed a novel approach called Traffic Aware Base Station Switching (TABS) to reduce energy consumption in cellular networks while maintaining high-quality service. Utilized Long Short-Term Memory (LSTM) models for accurate traffic prediction, enabling intelligent switching between active and sleep modes based on demand.
Jupyter Notebook