Robust WMMSE-Based Precoder With Practice-Oriented Design for Massive MU-MIMO
K Wang, A Liu - IEEE Wireless Communications Letters, 2024 - ieeexplore.ieee.org
The challenge induced by imperfect channel state information (CSI) at the transmitter
promotes the research of robust precoder design, among which stochastic weighted …
promotes the research of robust precoder design, among which stochastic weighted …
Universal Model-Driven Deep Learning for MIMO Transceiver Design
Data-driven deep learning (DL) has delivered impressive performance gains in physical
layer communications in recent years. However, the black box nature of these models …
layer communications in recent years. However, the black box nature of these models …
Hybrid Analog and Digital Precoding Design for Minimum BER in Massive MIMO System
J Li, L Zhao, Y Jiang - IEEE Transactions on Vehicular …, 2024 - ieeexplore.ieee.org
Hybrid analog and digital precoding technology has been widely investigated recently in
massive multiple-input multiple-output (mMIMO) systems as low-complexity and low-cost …
massive multiple-input multiple-output (mMIMO) systems as low-complexity and low-cost …
DPC-CNN Algorithm for Multiuser Hybrid Precoding With Dynamic Structure
F Liu, Z Duan, L Zhang, B Shi, Y Liu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This paper presents a dynamic partially connected (DPC) structure-based convolutional
neural network (CNN) hybrid precoding with multi-user optimization algorithm. In the …
neural network (CNN) hybrid precoding with multi-user optimization algorithm. In the …
Recursive GNNs for Learning Precoding Policies with Size-Generalizability
J Guo, C Yang - arXiv preprint arXiv:2402.18332, 2024 - arxiv.org
Graph neural networks (GNNs) have been shown promising in optimizing power allocation
and link scheduling with good size generalizability and low training complexity. These merits …
and link scheduling with good size generalizability and low training complexity. These merits …
CSI Transfer From Sub-6G to mmWave: Reduced-Overhead Multi-User Hybrid Beamforming
Hybrid beamforming is vital in modern wireless systems, especially for massive MIMO and
millimeter-wave deployments, offering efficient directional transmission with reduced …
millimeter-wave deployments, offering efficient directional transmission with reduced …
Partial DFT Codebook-Based Hybrid Precoding in Limited Feedback Millimeter Wave Massive MIMO Systems
K Shi, X Fang, X Sha - IEEE Wireless Communications Letters, 2024 - ieeexplore.ieee.org
Hybrid precoding techniques are a great way to reduce hardware costs for millimeter wave
massive multiple-input-multiple-output (MIMO) systems. Limited feedback systems replace …
massive multiple-input-multiple-output (MIMO) systems. Limited feedback systems replace …
Optimized precoding for massive MU-MIMO systems with KLDA dimension reduction and RNN-crossover GBO algorithm
S Ramanathan, MA Bennet - Telecommunication Systems, 2024 - Springer
Nowadays the communication of massive multi-user multiple-input multiple-output (MU-
MIMO) takes an important role in wireless systems, as they facilitate the ultra-reliable …
MIMO) takes an important role in wireless systems, as they facilitate the ultra-reliable …