CSI Data

Channel State Information (CSI) data, representing the characteristics of wireless communication channels, is increasingly used for applications beyond traditional communication, such as human activity recognition, localization, and even water quality monitoring. Current research focuses on improving CSI data acquisition and processing through deep learning techniques, particularly employing generative adversarial networks (GANs) to augment limited datasets and convolutional neural networks (CNNs) for feature extraction and classification. These advancements are significant because they enable more accurate and efficient sensing applications with reduced data requirements, impacting fields ranging from smart environments to advanced communication systems.