A graph neural network approach for scalable wireless power control

Keyphrases

• Interference Graph 100%
• Graph Neural Network 100%
• Graph Convolutional Neural Network 100%
• Wireless Power Control 100%
• Neural Network Method 100%
• Power Control 66%
• Wireless Networks 66%
• K-user Interference Channel 66%
• Control Problem 33%
• Scalable Methods 33%
• NP-hard 33%
• Set Function 33%
• Multilayer Perceptron 33%
• Network Size 33%
• Wireless Channel 33%
• Image Processing 33%
• Processing Task 33%
• Universal Approximator 33%
• Deep Learning 33%
• Resource Allocation Problem 33%
• Complete Graph 33%
• Neural Network Structure 33%
• Unsupervised Method 33%
• Deep Neural Network 33%
• Disruptive Technology 33%
• Convolutional Neural Network 33%
• Interference Channel 33%
• Invariance Property 33%
• Optimal Power Control 33%
• Continuous Set 33%
• Weighted Minimum Mean Square Error (WMMSE) 33%
• Interlayer Interference 33%
• Imperfect Channel State Information 33%
• Wireless Resource Allocation 33%
• Permutation Invariance 33%

Computer Science

• Graph Convolutional Network 100%
• Neural Network Approach 100%
• Interference Graph 100%
• Graph Neural Network 100%
• Wireless Network 66%
• User Interference 66%
• Disruptive Technology 33%
• Deep Neural Network 33%
• Convolutional Neural Network 33%
• Image Processing 33%
• Allocation Problem 33%
• Deep Learning Method 33%
• Wireless Channel 33%
• Neural Network Architecture 33%
• Scalable Method 33%
• Unsupervised Manner 33%
• optimal power 33%
• Channel State Information 33%
• Processing Task 33%
• Multilayer Perceptron 33%
• Invariance Property 33%
• Resource Allocation 33%

Engineering

• Power Control 100%
• Neural Network Approach 100%
• Convolutional Neural Network 100%
• Interference Channel 75%
• Channel State Information 25%
• Approximators 25%
• Resource Allocation Problem 25%
• Processing Task 25%
• Image Processing 25%
• Complete Graph 25%
• Deep Learning Method 25%
• Deep Neural Network 25%
• Perceptron 25%