Multiple Input Multiple

Multiple-input multiple-output (MIMO) signal detection in wireless communication systems is a crucial area of research aiming to improve data transmission speed and reliability. Current efforts focus on enhancing the performance and efficiency of detection algorithms, employing techniques like deep unfolding of iterative algorithms (e.g., simulated bifurcation, approximate message passing), graph neural networks (GNNs) leveraging channel correlations, and incorporating graph convolutional methods to capture variable interdependencies. These advancements address computational limitations of existing methods while achieving state-of-the-art detection accuracy, impacting the design of next-generation wireless networks and improving overall communication system performance.