Spectral Efficiency

Spectral efficiency, the amount of data transmitted per unit bandwidth, is a critical performance metric in wireless communication systems, driving research towards maximizing data rates while minimizing resource consumption. Current research focuses on improving spectral efficiency through advanced signal processing techniques like optimized beamforming and precoding, often leveraging machine learning models such as deep neural networks, graph neural networks, and variational autoencoders to solve complex optimization problems efficiently. These advancements are crucial for enabling higher data rates in next-generation wireless networks (5G and beyond), addressing challenges like pilot contamination and intersymbol interference, and ultimately improving the overall performance and capacity of wireless systems.