Hybrid Precoding for Multi-User Millimeter Wave Massive MIMO Systems: A Deep Learning Approach

11 November 2019

Papers citing "Hybrid Precoding for Multi-User Millimeter Wave Massive MIMO Systems: A Deep Learning Approach"

8 / 8 papers shown

Title
Rapid and Power-Aware Learned Optimization for Modular Receive Beamforming Mathieu dÁquin Nir Shlezinger 45 1 0 01 Aug 2024
AI-Empowered Hybrid MIMO Beamforming Nir Shlezinger Mengyuan Ma Ortal Lavi N. Nguyen Yonina C. Eldar M. Juntti 18 7 0 03 Mar 2023
Machine Learning for Large-Scale Optimization in 6G Wireless Networks Yandong Shi Lixiang Lian Yuanming Shi Zixin Wang Yong Zhou Liqun Fu Lin Bai Jun Zhang Wei Zhang AI4CE 125 82 0 03 Jan 2023
Federated Learning for Channel Estimation in Conventional and RIS-Assisted Massive MIMO Ahmet M. Elbir Sinem Coleri 91 132 0 25 Aug 2020
Unsupervised Deep Learning for Massive MIMO Hybrid Beamforming Hamed Hojatian Jérémy Nadal J. Frigon François Leduc-Primeau 27 76 0 30 Jun 2020
A Deep Learning Framework for Hybrid Beamforming Without Instantaneous CSI Feedback Ahmet M. Elbir 54 32 0 19 Jun 2020
Learning Based Hybrid Beamforming for Millimeter Wave Multi-User MIMO Systems Shaocheng Huang Yu Ye Ming Xiao 48 0 0 27 Apr 2020
Deep Channel Learning For Large Intelligent Surfaces Aided mm-Wave Massive MIMO Systems Ahmet M. Elbir Anastasios K. Papazafeiropoulos P. Kourtessis Symeon Chatzinotas 54 199 0 29 Jan 2020