Diffusion-Based Generative Priors for Efficient Beam Alignment in Directional Networks
arXiv:2604.09653v1 Announce Type: cross
Abstract: Beam alignment is a key challenge in directional mmWave and THz systems, where narrow beams require accurate yet low-overhead training. Existing learning-based approaches typically predict a single bea…