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

15 July 2020

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

50 / 63 papers shown

Title
BERT4beam: Large AI Model Enabled Generalized Beamforming Optimization Yuhang Li Yang Lu Wei Chen B. Ai Z. Ding Dusit Niyato 0 0 0 14 Sep 2025
Graph Neural Networks for Resource Allocation in Interference-limited Multi-Channel Wireless Networks with QoS Constraints Lili Chen Changyang She Jingge Zhu J. Evans GNN 24 0 0 08 Sep 2025
Towards Robust Learning to Optimize with Theoretical Guarantees Qingyu Song Wei Lin Juncheng Wang Hong Xu 81 3 0 17 Jun 2025
Graph Attention Network for Optimal User Association in Wireless Networks Javad Mirzaei Jeebak Mitra Gwenael Poitau 30 0 0 22 May 2025
Power Allocation for Delay Optimization in Device-to-Device Networks: A Graph Reinforcement Learning Approach Hao Fang Kai Huang Hao Ye Chongtao Guo Le Liang Xiao Li Shi Jin 92 1 0 19 May 2025
Generative Diffusion Models for Resource Allocation in Wireless Networks Yigit Berkay Uslu Samar Hadou Shirin Saeedi Bidokhti Alejandro Ribeiro DiffM 87 2 0 28 Apr 2025
Differentiable Projection-based Learn to Optimize in Wireless Network-Part I: Convex Constrained (Non-)Convex Programming Xiucheng Wang Xuan Zhao Nan Cheng 99 0 0 29 Jan 2025
Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence Liekang Zeng Shengyuan Ye Xu Chen Xiaoxi Zhang Ju Ren Jian Tang Yang Yang Xuemin Shen 210 5 0 08 Jan 2025
Learning Load Balancing with GNN in MPTCP-Enabled Heterogeneous Networks Han Ji Xiping Wu Zhihong Zeng Chen Chen 86 0 0 22 Oct 2024
GRLinQ: An Intelligent Spectrum Sharing Mechanism for Device-to-Device Communications with Graph Reinforcement Learning Zhiwei Shan Xinping Yi Le Liang Chung-Shou Liao Shi Jin 78 0 0 18 Aug 2024
GNN-Based Joint Channel and Power Allocation in Heterogeneous Wireless Networks Lili Chen Jingge Zhu Jamie Evans GNN 62 5 0 28 Jul 2024
Reliable Projection Based Unsupervised Learning for Semi-Definite QCQP with Application of Beamforming Optimization Xiucheng Wang Qi Qiu Nan Cheng 107 2 0 04 Jul 2024
Tackling Distribution Shifts in Task-Oriented Communication with Information Bottleneck Hongru Li Jiawei Shao Hengtao He Shenghui Song Jun Zhang Khaled B. Letaief OOD 128 5 0 15 May 2024
Tiny Graph Neural Networks for Radio Resource Management Ahmad Ghasemi Hossein Pishro-Nik GNN 66 1 0 28 Mar 2024
Self-Improving Interference Management Based on Deep Learning With Uncertainty Quantification Hyun-Suk Lee Do-Yup Kim Kyungsik Min 81 0 0 24 Jan 2024
Integrated Sensing, Communication, and Computing: An Information-oriented Resource Transaction Mechanism Ning Chen Zhipeng Cheng Xuwei Fan Zhang Liu Bangzhen Huang Jie Yang Yifeng Zhao Lianfen Huang 53 0 0 22 Jan 2024
Graph Representation Learning for Contention and Interference Management in Wireless Networks Zhouyou Gu Branka Vucetic Kishore Chikkam Pasquale Aliberti Wibowo Hardjawana 30 4 0 15 Jan 2024
Hybrid-Task Meta-Learning: A Graph Neural Network Approach for Scalable and Transferable Bandwidth Allocation Xin Hao Changyang She Phee Lep Yeoh Yuhong Liu Branka Vucetic Yonghui Li 122 1 0 23 Dec 2023
Graph Neural Network-Based Bandwidth Allocation for Secure Wireless Communications Xin Hao Phee Lep Yeoh Yuhong Liu Changyang She Branka Vucetic Yonghui Li 56 4 0 13 Dec 2023
Detecting Contextual Network Anomalies with Graph Neural Networks Hamid Latif José Suárez-Varela A. Cabellos-Aparicio Pere Barlet-Ros AI4TS 63 4 0 11 Dec 2023
Evaluating Neighbor Explainability for Graph Neural Networks Oscar Llorente Rana Fawzy Jared Keown Michal Horemuz Péter Vaderna Sándor Laki Roland Kotroczó Rita Csoma János Márk Szalai-Gindl 103 0 0 14 Nov 2023
A Deep Learning Based Resource Allocator for Communication Networks with Dynamic User Utility Demands Pourya Behmandpoor Mark Eisen Panagiotis Patrinos Marc Moonen 101 0 0 08 Nov 2023
Limited Communications Distributed Optimization via Deep Unfolded Distributed ADMM Yoav Noah Nir Shlezinger 95 4 0 21 Sep 2023
Distilling Knowledge from Resource Management Algorithms to Neural Networks: A Unified Training Assistance Approach Longfei Ma Nan Cheng Xiucheng Wang Zhisheng Yin Haibo Zhou Wei Quan 54 3 0 15 Aug 2023
Knowledge-Driven Multi-Agent Reinforcement Learning for Computation Offloading in Cybertwin-Enabled Internet of Vehicles Ruijin Sun Xiao Yang Nan Cheng Xiucheng Wang Chang Li OffRL 46 2 0 04 Aug 2023
Learning Resource Allocation Policy: Vertex-GNN or Edge-GNN? Yao Peng Jia Guo Chenyang Yang 131 24 0 24 Jul 2023
Scalable Resource Management for Dynamic MEC: An Unsupervised Link-Output Graph Neural Network Approach Xiucheng Wang Nan Cheng Lianhao Fu Wei Quan Ruijin Sun Yilong Hui Tom H. Luan X. Shen 116 11 0 15 Jun 2023
Power Control with QoS Guarantees: A Differentiable Projection-based Unsupervised Learning Framework Mehrazin Alizadeh Hina Tabassum 46 11 0 31 May 2023
Accelerating Graph Neural Networks via Edge Pruning for Power Allocation in Wireless Networks Lili Chen Jingge Zhu J. Evans GNN 14 2 0 22 May 2023
Graph Neural Networks-Based User Pairing in Wireless Communication Systems Sharan Mourya Pavan Reddy Manne Saidhiraj Amuru K. Kuchi GNN 86 2 0 14 May 2023
Learning Cellular Coverage from Real Network Configurations using GNNs Yifei Jin Marios Daoutis Sarunas Girdzijauskas Aristides Gionis AI4TS 76 0 0 20 Apr 2023
Multi-Flow Transmission in Wireless Interference Networks: A Convergent Graph Learning Approach Raz Paul Kobi Cohen Gil Kedar 138 6 0 27 Mar 2023
Graph Neural Networks for Power Allocation in Wireless Networks with Full Duplex Nodes Lili Chen Jingge Zhu J. Evans GNN 20 5 0 27 Mar 2023
Graph Neural Networks over the Air for Decentralized Tasks in Wireless Networks Zhan Gao Deniz Gunduz GNN 150 1 0 16 Feb 2023
Message Passing Meets Graph Neural Networks: A New Paradigm for Massive MIMO Systems Hengtao He Xianghao Yu Jun Zhang Shenghui Song Khaled B. Letaief 97 22 0 14 Feb 2023
Machine Learning for Large-Scale Optimization in 6G Wireless Networks Yandong Shi Lixiang Lian Yuanming Shi Zixin Wang Yong Zhou Liqun Fu Lin Bai Jun Zhang Wei Zhang AI4CE 164 103 0 03 Jan 2023
Power Control for 6G Industrial Wireless Subnetworks: A Graph Neural Network Approach Daniel Abode Ramoni O. Adeogun Gilberto Berardinelli 41 16 0 30 Dec 2022
ENGNN: A General Edge-Update Empowered GNN Architecture for Radio Resource Management in Wireless Networks Yunqi Wang Yang Li Qingjiang Shi Yik-Chung Wu 91 22 0 14 Dec 2022
Graph Neural Networks Meet Wireless Communications: Motivation, Applications, and Future Directions Mengyuan Lee Guanding Yu H. Dai Geoffrey Ye Li 103 34 0 08 Dec 2022
A Model-based GNN for Learning Precoding Jia Guo Chenyang Yang 121 10 0 01 Dec 2022
Learning Cooperative Beamforming with Edge-Update Empowered Graph Neural Networks Yunqi Wang Yang Li Qingjiang Shi Yik-Chung Wu 72 1 0 23 Nov 2022
A Graph Neural Networks based Framework for Topology-Aware Proactive SLA Management in a Latency Critical NFV Application Use-case Nikita Jalodia Mohit Taneja A. Davy AI4TS 63 0 0 10 Nov 2022
A State-Augmented Approach for Learning Optimal Resource Management Decisions in Wireless Networks Yiugit Berkay Uslu Navid Naderializadeh Mark Eisen Alejandro Riberio University of Pennsylvania 136 1 0 28 Oct 2022
Privacy-Preserving Decentralized Inference with Graph Neural Networks in Wireless Networks Mengyuan Lee Guanding Yu H. Dai 119 14 0 15 Aug 2022
Trustworthy Federated Learning via Blockchain Zhanpeng Yang Yuanming Shi Yong Zhou Zixin Wang Kai Yang 104 76 0 13 Aug 2022
A Bipartite Graph Neural Network Approach for Scalable Beamforming Optimization Junbeom Kim Hoon Lee Seung‐Eun Hong Seok-Hwan Park 120 51 0 12 Jul 2022
Interference-Limited Ultra-Reliable and Low-Latency Communications: Graph Neural Networks or Stochastic Geometry? Yuhong Liu Changyang She Yi Zhong Wibowo Hardjawana F. Zheng Branka Vucetic 55 7 0 11 Jul 2022
State-Augmented Learnable Algorithms for Resource Management in Wireless Networks Navid Naderializadeh Mark Eisen Alejandro Ribeiro 119 23 0 05 Jul 2022
Edge Learning for B5G Networks with Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing Wei Xu Zhaohui Yang Derrick Wing Kwan Ng Marco Levorato Yonina C. Eldar Mérouane Debbah 135 456 0 01 Jun 2022
Phase Shift Design in RIS Empowered Wireless Networks: From Optimization to AI-Based Methods Zongze Li Shuai Wang Qingfeng Lin Yang Li Miaowen Wen Yik-Chung Wu H. Vincent Poor 62 19 0 28 Apr 2022