arXiv cs.LG
· Papers
A General Deep Learning Framework for Wireless Resource Allocation under Discrete Constraints
arXiv:2603.19322v2 Announce Type: replace Abstract: While deep learning (DL)-based methods have achieved remarkable success in continuous wireless resource allocation, efficient solutions for problems involving discrete variables remain challenging. This is primarily due to the zero-gradient issue in backpropagation, t