Search Results for author:
Found 4 papers, 2 papers with code
Discerning and Enhancing the Weighted Sum-Rate Maximization Algorithms in Communications
By probing the theoretical underpinnings linking the BCA and MM algorithmic frameworks, we reveal the direct correlations between the equivalent transformation techniques, essential to the development of WMMSE and WSR-FP, and the surrogate functions pivotal to WSR-MM.
ASGNN: Graph Neural Networks with Adaptive Structure
In this work, we propose a novel interpretable message passing scheme with adaptive structure (ASMP) to defend against adversarial attacks on graph structure.
Towards Understanding Graph Neural Networks: An Algorithm Unrolling Perspective
The graph neural network (GNN) has demonstrated its superior performance in various applications.
Rate Maximizations for Reconfigurable Intelligent Surface-Aided Wireless Networks: A Unified Framework via Block Minorization-Maximization
The reconfigurable intelligent surface (RIS) has arose an upsurging research interest recently due to its promising outlook in 5G-and-beyond wireless networks.
