DEVICES AND METHODS FOR LOCALIZATION

The present invention relates to a computing device and a network device for estimating a location of a terminal device in a wireless network based on channel state information (CSI). In a training phase, the computing device divides a coverage area of the network device into sub-areas, and partitions labelled CSI datasets into two or more CSI data partitions based on the sub-areas. The CSI data partitions are used to train two or more neural network models. Each CSI data partition corresponds to an area that is smaller than the coverage area, so that trainings of the neural network models are eased. Furthermore, the trained neural network models are robust to environment changes. In an online phase, the network device inputs CSI of the terminal device to at least two neural network models to obtain an optimal estimation based on outputs of the at least two neural network models.