fadingmodeller

Fadingmodeller is a software tool or framework designed to simulate wireless channel fading for communications research and development. It provides stochastic models of small-scale fading and large-scale variations to generate time- and frequency-varying channel coefficients for a given transmit-receive configuration. The aim is to reproduce the effects of multipath propagation, mobility, and shadowing that influence signal strength and quality in real networks.

Key features typically include support for common fading distributions such as Rayleigh and Rician, as well as Nakagami-m and lognormal shadowing. It offers configurable Doppler spectra (for example, Jakes or Clarke) and Doppler frequencies corresponding to user velocity, along with flexible multipath tap structures and power delay profiles. Users can model frequency-selective channels, correlation across taps, and various mobility scenarios. Many implementations also provide non-stationary or quasi-stationary options to reflect evolving channel conditions over time. Outputs usually consist of complex channel gains, impulse responses, or frequency responses that can drive link-level simulations and receiver algorithms. API exposure commonly allows generation of channel realizations on demand, or the generation of ensembles for Monte Carlo studies, with control over parameters such as carrier frequency, sampling interval, number of taps, K-factor (for Rician), and shadowing statistics.

Implementation and usage often span multiple languages and environments, including C++ libraries with Python bindings, MATLAB/Simulink blocks, or standalone C/Python tools. Fadingmodeller is used in link-level simulations, protocol and PHY research, channel sounding experiments, and educational settings to illustrate how fading affects performance in mobile and fixed wireless scenarios. It is typically employed alongside higher-layer simulators to assess robustness, adaptation strategies, and modulation schemes under realistic channel conditions.