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"

33 / 33 papers shown

Title
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 12 0 0 19 May 2025
Differentiable Projection-based Learn to Optimize in Wireless Network-Part I: Convex Constrained (Non-)Convex Programming Xiucheng Wang Xuan Zhao Nan Cheng 46 0 0 29 Jan 2025
GNN-Based Joint Channel and Power Allocation in Heterogeneous Wireless Networks Lili Chen Jingge Zhu Jamie Evans GNN 28 2 0 28 Jul 2024
Reliable Projection Based Unsupervised Learning for Semi-Definite QCQP with Application of Beamforming Optimization Xiucheng Wang Qi Qiu Nan Cheng 13 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 45 5 0 15 May 2024
Graph Representation Learning for Contention and Interference Management in Wireless Networks Zhouyou Gu Branka Vucetic Kishore Chikkam Pasquale Aliberti Wibowo Hardjawana 11 1 0 15 Jan 2024
Graph Neural Network-Based Bandwidth Allocation for Secure Wireless Communications Xin Hao Phee Lep Yeoh Yuhong Liu Changyang She Branka Vucetic Yonghui Li 21 4 0 13 Dec 2023
A Deep Learning Based Resource Allocator for Communication Systems with Dynamic User Utility Demands Pourya Behmandpoor Panagiotis Patrinos Marc Moonen 23 1 0 08 Nov 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 25 2 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 13 2 0 04 Aug 2023
Learning Cellular Coverage from Real Network Configurations using GNNs Yifei Jin Marios Daoutis Sarunas Girdzijauskas Aristides Gionis AI4TS 29 0 0 20 Apr 2023
Multi-Flow Transmission in Wireless Interference Networks: A Convergent Graph Learning Approach Raz Paul Kobi Cohen Gil Kedar 34 5 0 27 Mar 2023
Graph Neural Networks over the Air for Decentralized Tasks in Wireless Networks Zhan Gao Deniz Gunduz GNN 43 1 0 16 Feb 2023
Graph Neural Networks Meet Wireless Communications: Motivation, Applications, and Future Directions Mengyuan Lee Guanding Yu H. Dai Geoffrey Ye Li 35 29 0 08 Dec 2022
A Model-based GNN for Learning Precoding Jia Guo Chenyang Yang 58 10 0 01 Dec 2022
Learning Cooperative Beamforming with Edge-Update Empowered Graph Neural Networks Yunqi Wang Yang Li Qingjiang Shi Yik-Chung Wu 21 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 14 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 31 0 0 28 Oct 2022
Privacy-Preserving Decentralized Inference with Graph Neural Networks in Wireless Networks Mengyuan Lee Guanding Yu H. Dai 35 11 0 15 Aug 2022
Trustworthy Federated Learning via Blockchain Zhanpeng Yang Yuanming Shi Yong Zhou Zixin Wang Kai Yang 36 68 0 13 Aug 2022
A Bipartite Graph Neural Network Approach for Scalable Beamforming Optimization Junbeom Kim Hoon Lee Seung‐Eun Hong Seok-Hwan Park 49 45 0 12 Jul 2022
State-Augmented Learnable Algorithms for Resource Management in Wireless Networks Navid Naderializadeh Mark Eisen Alejandro Ribeiro 41 17 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 34 399 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 21 17 0 28 Apr 2022
Graph Neural Networks for Wireless Communications: From Theory to Practice Yifei Shen Jun Zhang Shenghui Song Khaled B. Letaief GNN AI4CE 35 112 0 21 Mar 2022
Learning Resilient Radio Resource Management Policies with Graph Neural Networks Navid Naderializadeh Mark Eisen Alejandro Ribeiro 24 27 0 07 Mar 2022
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications Khaled B. Letaief Yuanming Shi Jianmin Lu Jianhua Lu 43 417 0 24 Nov 2021
Wireless Link Scheduling via Graph Representation Learning: A Comparative Study of Different Supervision Levels Navid Naderializadeh 44 3 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 47 12 0 01 Oct 2021
Decentralized Inference with Graph Neural Networks in Wireless Communication Systems Mengyuan Lee Guanding Yu H. Dai GNN 47 40 0 19 Apr 2021
Learning Task-Oriented Communication for Edge Inference: An Information Bottleneck Approach Jiawei Shao Yuyi Mao Jun Zhang 52 212 0 08 Feb 2021
Deep Reinforcement Learning for Resource Constrained Multiclass Scheduling in Wireless Networks Apostolos Avranas Marios Kountouris P. Ciblat 24 7 0 27 Nov 2020
Unsupervised Learning for Asynchronous Resource Allocation in Ad-hoc Wireless Networks Zhiyang Wang Mark Eisen Alejandro Ribeiro 16 18 0 05 Nov 2020