Towards Optimal Power Control via Ensembling Deep Neural Networks

26 July 2018

Papers citing "Towards Optimal Power Control via Ensembling Deep Neural Networks"

29 / 29 papers shown

Title
Generative Diffusion Models for Resource Allocation in Wireless Networks Yigit Berkay Uslu Samar Hadou Shirin Saeedi Bidokhti Alejandro Ribeiro DiffM 44 0 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 49 0 0 29 Jan 2025
GNN-Based Joint Channel and Power Allocation in Heterogeneous Wireless Networks Lili Chen Jingge Zhu Jamie Evans GNN 33 2 0 28 Jul 2024
Ensembling convolutional neural networks for human skin segmentation Patryk Kuban Michal Kawulok 3DH SSeg 55 0 0 27 Jul 2024
A Deep Learning Based Resource Allocator for Communication Systems with Dynamic User Utility Demands Pourya Behmandpoor Panagiotis Patrinos Marc Moonen 27 1 0 08 Nov 2023
Deep Graph Unfolding for Beamforming in MU-MIMO Interference Networks Arindam Chowdhury Gunjan Verma A. Swami Santiago Segarra 35 13 0 02 Apr 2023
Flex-Net: A Graph Neural Network Approach to Resource Management in Flexible Duplex Networks Tharaka Perera S. Atapattu Yuting Fang Prathapasinghe Dharmawansa J. Evans GNN 27 4 0 20 Jan 2023
Distributed-Training-and-Execution Multi-Agent Reinforcement Learning for Power Control in HetNet Kaidi Xu Nguyen Van Huynh Geoffrey Ye Li 12 11 0 15 Dec 2022
A Bipartite Graph Neural Network Approach for Scalable Beamforming Optimization Junbeom Kim Hoon Lee Seung‐Eun Hong Seok-Hwan Park 51 45 0 12 Jul 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
Graph Neural Networks for Wireless Communications: From Theory to Practice Yifei Shen Jun Zhang Shenghui Song Khaled B. Letaief GNN AI4CE 38 112 0 21 Mar 2022
Learning for Robust Combinatorial Optimization: Algorithm and Application Zhihui Shao Jianyi Yang Cong Shen Shaolei Ren 43 6 0 20 Dec 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
Modular Meta-Learning for Power Control via Random Edge Graph Neural Networks I. Nikoloska Osvaldo Simeone 35 22 0 04 Aug 2021
Deep Unsupervised Learning for Generalized Assignment Problems: A Case-Study of User-Association in Wireless Networks Arjun Kaushik Mehrazin Alizadeh Omer Waqar Hina Tabassum 21 12 0 26 Mar 2021
Deep Learning-based Resource Allocation For Device-to-Device Communication Woongsup Lee R. Schober 17 38 0 25 Nov 2020
Learning to Beamform in Heterogeneous Massive MIMO Networks Minghe Zhu Tsung-Hui Chang Mingyi Hong 27 23 0 08 Nov 2020
Deep Learning Methods for Universal MISO Beamforming Junbeom Kim Hoon Lee Seung‐Eun Hong Seok-Hwan Park 16 54 0 02 Jul 2020
Deep Learning for Radio Resource Allocation with Diverse Quality-of-Service Requirements in 5G Rui Dong Changyang She Wibowo Hardjawana Yonghui Li Branka Vucetic 30 78 0 29 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 30 194 0 07 Jul 2019
A Globally Optimal Energy-Efficient Power Control Framework and its Efficient Implementation in Wireless Interference Networks Bho Matthiesen Alessio Zappone Karl-Ludwig Besser Eduard Axel Jorswieck Merouane Debbah 11 13 0 17 Dec 2018
Spatial Deep Learning for Wireless Scheduling Wei Cui Kaiming Shen Wei Yu 18 207 0 04 Aug 2018
An Introduction to Deep Learning for the Physical Layer Tim O'Shea J. Hoydis AI4CE 89 2,174 0 02 Feb 2017
Learning to Decode Linear Codes Using Deep Learning Eliya Nachmani Yair Be’ery D. Burshtein 95 456 0 16 Jul 2016
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 186 1,186 0 30 Nov 2014