Cross-System Neural Precoder: Exploiting Structural Consistency for Fast Adaptation
Simulation results show that pre-trained XNPs achieve fast adaptation to new configurations with significantly fewer training samples and epochs than a graph neural network-based baseline, demonstrating that cross-system adaptability can be achieved by exploiting shared computational structure, rather than relying on l...