Gaussian Channel

The Gaussian channel, a fundamental model in communication theory, describes the transmission of information over a channel with additive white Gaussian noise. Current research focuses on improving communication reliability and security in various scenarios, including fading channels and the presence of eavesdroppers, using techniques like deep learning-based autoencoders, recurrent neural networks, and optimized linear coding schemes to design efficient and robust codes, particularly for short blocklengths. These advancements are crucial for enhancing the performance of wireless communication systems, particularly in applications demanding low latency and high security, such as 5G and beyond. The development of universal deep learning models that adapt to various channel conditions without retraining represents a significant step towards practical implementation.