A Homogeneous Graph Neural Network for Precoding and Power Allocation in
Scalable Wireless Networks
A Homogeneous Graph Neural Network for Precoding and Power Allocation in
Scalable Wireless Networks
Deep learning is widely used in wireless communications but struggles with fixed neural network sizes, which limit their adaptability in environments where the number of users and antennas varies. To overcome this, this paper introduced a generalization strategy for precoding and power allocation in scalable wireless networks. Initially, we employ …