Deep Learning Methods for Universal MISO Beamforming

2 July 2020

Papers citing "Deep Learning Methods for Universal MISO Beamforming"

7 / 7 papers shown

Title
Robust mmWave Beamforming by Self-Supervised Hybrid Deep Learning Fenghao Zhu Bohao Wang Zhaohui Yang Chongwen Huang Zhaoyang Zhang G. C. Alexandropoulos Chau Yuen Merouane Debbah 24 12 0 09 Mar 2023
A Model-based GNN for Learning Precoding Jia Guo Chenyang Yang 61 10 0 01 Dec 2022
Deep Learning for Multi-User MIMO Systems: Joint Design of Pilot, Limited Feedback, and Precoding Jeonghyeon Jang Hoon Lee Il-Min Kim Inkyu Lee 27 23 0 21 Sep 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
Deep Learning Methods for Joint Optimization of Beamforming and Fronthaul Quantization in Cloud Radio Access Networks Daesung Yu Hoon Lee Seok-Hwan Park Seung‐Eun Hong 30 11 0 06 Jul 2021
Learning Optimal Fronthauling and Decentralized Edge Computation in Fog Radio Access Networks Hoon Lee Junbeom Kim Seok-Hwan Park 20 12 0 21 Mar 2021
Learning Robust Beamforming for MISO Downlink Systems Junbeom Kim Hoon Lee Seok-Hwan Park 11 21 0 02 Mar 2021