Spatial Deep Learning for Wireless Scheduling

4 August 2018

Papers citing "Spatial Deep Learning for Wireless Scheduling"

40 / 40 papers shown

Title
Opportunistic Routing in Wireless Communications via Learnable State-Augmented Policies Sourajit Das Navid Naderializadeh Rahul Mangharam 31 0 0 05 Mar 2025
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 35 0 0 18 Aug 2024
Transfer Learning with Reconstruction Loss Wei Cui Wei Yu 22 2 0 31 Mar 2024
Spatial Deep Learning for Site-Specific Movement Optimization of Aerial Base Stations Jiangbin Lyu Xu Chen Jiefeng Zhang Liqun Fu 11 1 0 16 Dec 2023
A Deep Learning Based Resource Allocator for Communication Systems with Dynamic User Utility Demands Pourya Behmandpoor Panagiotis Patrinos Marc Moonen 30 1 0 08 Nov 2023
Learning State-Augmented Policies for Information Routing in Communication Networks Sourajit Das Navid Naderializadeh Alejandro Ribeiro 33 2 0 30 Sep 2023
Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges Fei Dou Jin Ye Geng Yuan Qin Lu Wei Niu ... Hongyue Sun Yunli Shao Changying Li Tianming Liu Wenzhan Song AI4CE 37 29 0 14 Sep 2023
Learning Cellular Coverage from Real Network Configurations using GNNs Yifei Jin Marios Daoutis Sarunas Girdzijauskas Aristides Gionis AI4TS 31 0 0 20 Apr 2023
Uncertainty Injection: A Deep Learning Method for Robust Optimization W. Cui Wei Yu UQCV OOD 27 6 0 23 Feb 2023
Power Control for 6G Industrial Wireless Subnetworks: A Graph Neural Network Approach Daniel Abode Ramoni O. Adeogun Gilberto Berardinelli 14 13 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 36 17 0 14 Dec 2022
Sobolev Spaces, Kernels and Discrepancies over Hyperspheres S. Hubbert Emilio Porcu Chris J. Oates Mark Girolami 24 4 0 16 Nov 2022
Privacy-Preserving Decentralized Inference with Graph Neural Networks in Wireless Networks Mengyuan Lee Guanding Yu H. Dai 35 11 0 15 Aug 2022
Informed Learning by Wide Neural Networks: Convergence, Generalization and Sampling Complexity Jianyi Yang Shaolei Ren 35 3 0 02 Jul 2022
Machine Learning-Based User Scheduling in Integrated Satellite-HAPS-Ground Networks H. Dahrouj Shasha Liu Mohamed-Slim Alouini 18 14 0 27 May 2022
Expert-Calibrated Learning for Online Optimization with Switching Costs Pengfei Li Jianyi Yang Shaolei Ren 29 11 0 18 Apr 2022
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications Khaled B. Letaief Yuanming Shi Jianmin Lu Jianhua Lu 48 417 0 24 Nov 2021
Graph Neural Network based scheduling : Improved throughput under a generalized interference model Ramakrishnan Sambamoorthy Jaswanthi Mandalapu Subrahmanya Swamy Peruru Bhavesh Jain E. Altman GNN 17 1 0 31 Oct 2021
Link Scheduling using Graph Neural Networks Zhongyuan Zhao Gunjan Verma Chirag R. Rao A. Swami Santiago Segarra GNN 29 35 0 12 Sep 2021
Concave Utility Reinforcement Learning with Zero-Constraint Violations Mridul Agarwal Qinbo Bai Vaneet Aggarwal 36 12 0 12 Sep 2021
Machine Learning Methods for Management UAV Flocks -- a Survey Rina Azoulay Yoram Haddad S. Reches 31 10 0 30 Aug 2021
Learning Autonomy in Management of Wireless Random Networks Hoon Lee Sang Hyun Lee Tony Q.S. Quek 28 5 0 15 Jun 2021
Two-Stage Stochastic Optimization via Primal-Dual Decomposition and Deep Unrolling An Liu Rui Yang Tony Q.S. Quek Min-Jian Zhao 27 12 0 05 May 2021
Learning to Continuously Optimize Wireless Resource in a Dynamic Environment: A Bilevel Optimization Perspective Haoran Sun Wenqiang Pu Xiao Fu Tsung-Hui Chang Mingyi Hong 47 30 0 03 May 2021
Decentralized Inference with Graph Neural Networks in Wireless Communication Systems Mengyuan Lee Guanding Yu H. Dai GNN 55 41 0 19 Apr 2021
Learning to Optimize Under Constraints with Unsupervised Deep Neural Networks S. Bayati Faramarz Jabbarvaziri 20 5 0 04 Jan 2021
Scalable Deep Reinforcement Learning for Routing and Spectrum Access in Physical Layer Wei Cui Wei Yu 21 10 0 22 Dec 2020
Distributed Scheduling using Graph Neural Networks Zhongyuan Zhao Gunjan Verma Chirag R. Rao A. Swami Santiago Segarra GNN 24 50 0 18 Nov 2020
Learning to Beamform in Heterogeneous Massive MIMO Networks Minghe Zhu Tsung-Hui Chang Mingyi Hong 27 23 0 08 Nov 2020
Learning Power Control from a Fixed Batch of Data M. Khoshkholgh H. Yanikomeroglu OffRL 28 2 0 05 Aug 2020
Graph Neural Networks for Scalable Radio Resource Management: Architecture Design and Theoretical Analysis Yifei Shen Yuanming Shi Jun Zhang Khaled B. Letaief GNN 16 261 0 15 Jul 2020
Iterative Algorithm Induced Deep-Unfolding Neural Networks: Precoding Design for Multiuser MIMO Systems Qiyu Hu Yunlong Cai Qingjiang Shi Kaidi Xu Guanding Yu Z. Ding 19 173 0 15 Jun 2020
Accelerating Generalized Benders Decomposition for Wireless Resource Allocation Mengyuan Lee Ning Ma Guanding Yu H. Dai AI4CE 12 30 0 03 Mar 2020
Model-Free Learning of Optimal Ergodic Policies in Wireless Systems Dionysios S. Kalogerias Mark Eisen George J. Pappas Alejandro Ribeiro 27 13 0 10 Nov 2019
A Graph Neural Network Approach for Scalable Wireless Power Control Yifei Shen Yuanming Shi Jun Zhang Khaled B. Letaief GNN 27 79 0 19 Jul 2019
Deep Learning based Wireless Resource Allocation with Application to Vehicular Networks Le Liang Hao Ye Guanding Yu Geoffrey Ye Li 30 195 0 07 Jul 2019
LORM: Learning to Optimize for Resource Management in Wireless Networks with Few Training Samples Yifei Shen Yuanming Shi Jun Zhang Khaled B. Letaief 9 6 0 18 Dec 2018
User Association and Load Balancing for Massive MIMO through Deep Learning Alessio Zappone L. Sanguinetti Merouane Debbah CVBM 17 38 0 17 Dec 2018
Deep Learning Power Allocation in Massive MIMO L. Sanguinetti Alessio Zappone Merouane Debbah 14 118 0 10 Dec 2018
Towards Optimal Power Control via Ensembling Deep Neural Networks Fei Liang Cong Shen Wei Yu Feng Wu 21 225 0 26 Jul 2018