Edge Convolution Graph Neural Network Assisted Power Allocation for Wireless IoT Networks

Edge Convolution Graph Neural Network Assisted Power Allocation for Wireless IoT Networks

We propose a novel power control technique called PC-ECGNN, which uses edge convolution to optimize power allocation in wireless IoT networks. PC-ECGNN leverages interference link distances as edge features and desired link channel gains as initial vertex features, iteratively updating vertex featur...

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Bibliographic Details
Main Authors: Jihyung Kim, Yeji Cho, Junghyun Kim
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Interference management
power control
graph neural networks
edge convolution
Online Access:https://ieeexplore.ieee.org/document/10676980/
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https://ieeexplore.ieee.org/document/10676980/

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