The rapid surge in data traffic, as predicted by Edholm's Law, underscores an exponential growth in both data transfer rates and spectrum demand. Simultaneously, deep neural networks are consuming increasingly vast computational resources, even as Moore's Law begins to wane. This growing disparity between demand and available capabilities has spurred engineers to innovatively explore new strategies for overcoming the challenges posed by future networks, notably 6G.