Machine Learning for Large-Scale Optimization in 6G Wireless Networks

Machine Learning for Large-Scale Optimization in 6G Wireless Networks

3 January 2023

Papers citing "Machine Learning for Large-Scale Optimization in 6G Wireless Networks"

16 / 16 papers shown

Title
Hybrid Real- and Complex-valued Neural Network Architecture Alex Young L. V. Fiorio Bo Yang B. Karanov Wim J. van Houtum Ronald M. Aarts 31 0 0 04 Apr 2025
An Offline Multi-Agent Reinforcement Learning Framework for Radio Resource Management Eslam Eldeeb Hirley Alves OffRL 75 0 0 22 Jan 2025
On the Accuracy and Precision of Moving Averages to Estimate Wi-Fi Link Quality G. Cena Gabriele Formis Matteo Rosani S. Scanzio 62 0 0 19 Nov 2024
DiffSG: A Generative Solver for Network Optimization with Diffusion Model Ruihuai Liang Bo Yang Zhiwen Yu Bin Guo Xuelin Cao Mérouane Debbah H. Vincent Poor Chau Yuen DiffM 46 5 0 13 Aug 2024
Modern Computing: Vision and Challenges S. Gill Huaming Wu Panos Patros Carlo Ottaviani Priyansh Arora ... Salil S. Kanhere Schahram Dustdar Steve Uhlig K. Ramamohanarao Rajkumar Buyya 34 89 0 04 Jan 2024
Optimizing Multicarrier Multiantenna Systems for LoS Channel Charting Taha Yassine Luc Le Magoarou M. Crussiére S. Paquelet 32 4 0 28 Sep 2023
Joint Age-based Client Selection and Resource Allocation for Communication-Efficient Federated Learning over NOMA Networks Bibo Wu Fang Fang Xianbin Wang 34 19 0 18 Apr 2023
A Bipartite Graph Neural Network Approach for Scalable Beamforming Optimization Junbeom Kim Hoon Lee Seung‐Eun Hong Seok-Hwan Park 41 44 0 12 Jul 2022
Wireless Deep Video Semantic Transmission Sixian Wang Jincheng Dai Zijian Liang K. Niu Zhongwei Si Chao Dong Xiaoqi Qin Ping Zhang 3DV DiffM 46 141 0 26 May 2022
Learn to Communicate with Neural Calibration: Scalability and Generalization Yifan Ma Yifei Shen Xianghao Yu Jun Zhang S. H. Song Khaled B. Letaief 34 12 0 01 Oct 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 40 30 0 03 May 2021
Decentralized Inference with Graph Neural Networks in Wireless Communication Systems Mengyuan Lee Guanding Yu H. Dai GNN 37 39 0 19 Apr 2021
CMDNet: Learning a Probabilistic Relaxation of Discrete Variables for Soft Detection with Low Complexity Edgar Beck C. Bockelmann Armin Dekorsy 18 12 0 25 Feb 2021
Solving Mixed Integer Programs Using Neural Networks Vinod Nair Sergey Bartunov Felix Gimeno Ingrid von Glehn Pawel Lichocki ... Pushmeet Kohli Ira Ktena Yujia Li Oriol Vinyals Yori Zwols 117 243 0 23 Dec 2020
Federated Learning for Channel Estimation in Conventional and RIS-Assisted Massive MIMO Ahmet M. Elbir Sinem Coleri 26 129 0 25 Aug 2020
Convergence of Update Aware Device Scheduling for Federated Learning at the Wireless Edge M. Amiri Deniz Gunduz Sanjeev R. Kulkarni H. Vincent Poor 75 170 0 28 Jan 2020