In this paper, we consider a multi-user mmWave communication system with low-resolution phase shifters (PSs) and aim to design a novel deep learning based low- ...
In this paper, we consider a multi-user mmWave communication system with low-resolution phase shifters (PSs) and aim to design a novel deep learning based low- ...
In this paper, we consider the joint hybrid precoder and combiner design with one-bit quantized PSs in mmWave MIMO systems. We propose to firstly design the ...
This paper considers a multi-user mmWave communication system with low-resolution phase shifters (PSs) and aims to design a novel deep learning based ...
Jul 7, 2024 · The deep learning-based hybrid precoder is designed using the MDL-AltMin algorithm and simulated results show a spectral efficiency of (SE) ...
Apr 20, 2021 · Abstract—The recently emerged symbol-level precoding (SLP) technique has been regarded as a promising solution in multi-user.
In this paper, Deep Learning (DL) based precoding techniques for upcoming 6G networks were examined, along with their complexities.
Missing: Resolution | Show results with:Resolution
CNN-based Precoder and Combiner Design in mmWave MIMO Systems ... This letter proposes a hybrid precoding scheme based on model-driven deep learning ...
Nov 24, 2022 · In this paper, we propose a low-complexity HBF method based on convolutional neural network (CNN) to solve the spectral efficiency (SE) maximization problem.
Feb 4, 2022 · We propose a deep learning approach to designing the analog precoder/combiner, coupled with a minimum mean-squared error (MMSE)-based baseband ...