Tiny Graph Neural Networks for Radio Resource Management

arXiv:2403.19143v1 Announce Type: new
Abstract: The surge in demand for efficient radio resource management has necessitated the development of sophisticated yet compact neural network architectures. In this paper, we introduce a novel approach to Graph Neural Networks (GNNs) tailored for radio resource management by presenting a new architecture: the Low Rank Message Passing Graph Neural Network (LR-MPGNN). The cornerstone of LR-MPGNN is the implementation of a low-rank approximation technique that substitutes the conventional linear layers with their low-rank counterparts. This …

abstract architecture architectures arxiv compact cs.lg cs.ni demand development eess.sp gnns graph graph neural networks low management network networks neural network neural networks novel paper presenting radio resource management type