Adaptive DEBKA for joint beamforming and spectrum sharing in 6G massive MIMO IoT networks
DEBKA is developed, a training-free optimizer that assigns different search roles to two complementary mechanisms: a BKA-inspired Cauchy-Gaussian attack for local refinement and adaptive DE/current-to-pbest migration for population-difference exploration, and results support the contribution of the coupled search and c...