A size-generalizable gnn for learning precoding
J Guo, C Yang - 2023 IEEE 98th Vehicular Technology …, 2023 - ieeexplore.ieee.org
Graph neural networks (GNNs) have been shown promising in optimizing power allocation
and link scheduling with good size generalizability and low sample complexity, which are …
and link scheduling with good size generalizability and low sample complexity, which are …
Precoder and Detector Learning for Vision-based mmWave Received Power Prediction
Multi-modal data collected from various sensors is instrumental in enhancing proactive
handover management, beam directions and received powers prediction. However, what …
handover management, beam directions and received powers prediction. However, what …
A Gradient Driven Graph Neural Network for Optimizing Precoding
L Zhang, S Han, C Yang, Y Li - 2023 IEEE Globecom …, 2023 - ieeexplore.ieee.org
Precoder optimization for multi-user multi-antenna systems with the objective of sum rate
maximization is a widely recognized challenging problem. Existing work has demonstrated …
maximization is a widely recognized challenging problem. Existing work has demonstrated …
Gradient based Information Aggregation of GNN for Precoder Learning
S Chen, S Han, Y Li - 2023 IEEE 98th Vehicular Technology …, 2023 - ieeexplore.ieee.org
Employing graph neural networks (GNNs) for learning the multiuser multi-input multi-output
precoder has gained significant attention recently. By modeling the precoder optimization …
precoder has gained significant attention recently. By modeling the precoder optimization …