Graph Neural Networks for Scalable Radio Resource Management:
Architecture Design and Theoretical Analysis

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Graph Neural Networks for Scalable Radio Resource Management: Architecture Design and Theoretical Analysis

15 July 2020

Khaled B. Letaief

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Papers citing "Graph Neural Networks for Scalable Radio Resource Management: Architecture Design and Theoretical Analysis"

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Title
Graph Neural Networks for Wireless Communications: From Theory to Practice Yifei Shen Jun Zhang Shenghui Song Khaled B. Letaief GNN AI4CE 151 146 0 21 Mar 2022
Learning Resilient Radio Resource Management Policies with Graph Neural Networks Navid Naderializadeh Mark Eisen Alejandro Ribeiro 155 32 0 07 Mar 2022
Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities José Suárez-Varela Paul Almasan Miquel Ferriol Galmés Krzysztof Rusek Fabien Geyer ... Xiang Shi Shihan Xiao F. Scarselli A. Cabellos-Aparicio Pere Barlet-Ros GNN AI4CE 113 67 0 29 Dec 2021
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications Khaled B. Letaief Yuanming Shi Jianmin Lu Jianhua Lu 128 469 0 24 Nov 2021
Wireless Link Scheduling via Graph Representation Learning: A Comparative Study of Different Supervision Levels Navid Naderializadeh 111 4 0 04 Oct 2021
Learn to Communicate with Neural Calibration: Scalability and Generalization Yifan Ma Yifei Shen Xianghao Yu Jun Zhang S. H. Song Khaled B. Letaief 105 13 0 01 Oct 2021
Neural Calibration for Scalable Beamforming in FDD Massive MIMO with Implicit Channel Estimation Yifan Ma Yifei Shen Xianghao Yu Jun Zhang Shenghui Song Khaled B. Letaief 48 14 0 03 Aug 2021
Graph-based Deep Learning for Communication Networks: A Survey Weiwei Jiang GNN AI4CE 132 213 0 04 Jun 2021
Decentralized Inference with Graph Neural Networks in Wireless Communication Systems Mengyuan Lee Guanding Yu H. Dai GNN 115 43 0 19 Apr 2021
Decentralized Statistical Inference with Unrolled Graph Neural Networks He Wang Yifei Shen Ziyuan Wang Dongsheng Li Jun Zhang Khaled B. Letaief Jie Lu FedML 54 5 0 04 Apr 2021
Learning Task-Oriented Communication for Edge Inference: An Information Bottleneck Approach Jiawei Shao Yuyi Mao Jun Zhang 123 244 0 08 Feb 2021
Deep Reinforcement Learning for Resource Constrained Multiclass Scheduling in Wireless Networks Apostolos Avranas Marios Kountouris P. Ciblat 89 8 0 27 Nov 2020
Unsupervised Learning for Asynchronous Resource Allocation in Ad-hoc Wireless Networks Zhiyang Wang Mark Eisen Alejandro Ribeiro 86 20 0 05 Nov 2020