3GPP Channel Models

This project began as a personal effort to implement standardized 3GPP channel models in Python. Later, after I moved into a professional role focused on system-level simulation development, the overlap between that work and this side project became significant. At that point, I chose to pause independent development so that the boundary between personal work and professional responsibilities remained clear.

The 3GPP Channel Models Python library is a comprehensive package that implements the 3GPP standardized radio channel models. These models are widely used in the telecommunications industry to simulate wireless communication systems and evaluate their performance.

The library includes functions for generating channel impulse response (CIR), delay spread, path loss, and shadow fading. It supports various scenarios, including urban, suburban, rural, and indoor environments, with options to customize model parameters such as frequency, distance, and antenna height.

The 3GPP Channel Models library is designed to be user-friendly and efficient, allowing developers to integrate it seamlessly into their simulation or testing frameworks. With this library, users can simulate wireless communication scenarios under realistic channel conditions and evaluate the performance of their systems in terms of metrics such as bit error rate, throughput, and signal-to-noise ratio.

Resources