Additive White Gaussian Noise (AWGN) is a basic noise model used in information theory to mimic the effect of random processes that occur in nature, characterized by its constant power spectral density and Gaussian distribution of amplitude. It is widely used in the analysis of communication systems to evaluate their performance under idealized conditions, serving as a benchmark for comparing different systems and techniques.