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"

10 / 10 papers shown

Title
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 26 5 0 13 Aug 2024
A Bipartite Graph Neural Network Approach for Scalable Beamforming Optimization Junbeom Kim Hoon Lee Seung‐Eun Hong Seok-Hwan Park 26 43 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 28 140 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 18 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 22 28 0 03 May 2021
Decentralized Inference with Graph Neural Networks in Wireless Communication Systems Mengyuan Lee Guanding Yu H. Dai GNN 33 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 14 11 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 99 238 0 23 Dec 2020
Federated Learning for Channel Estimation in Conventional and RIS-Assisted Massive MIMO Ahmet M. Elbir Sinem Coleri 16 128 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 61 168 0 28 Jan 2020