A Lightweight RL-Driven Deep Unfolding Network for Robust WMMSE Precoding in Massive MU-MIMO-OFDM Systems
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Kexuan, Liu, An |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Joint User Priority and Power Scheduling for QoS-Aware WMMSE Precoding: A Constrained-Actor Attentive-Critic Approach
by: Wang, Kexuan, et al.
Published: (2025)
by: Wang, Kexuan, et al.
Published: (2025)
Scenario-Adaptive MU-MIMO OFDM Semantic Communication With Asymmetric Neural Network
by: Li, Chongyang, et al.
Published: (2026)
by: Li, Chongyang, et al.
Published: (2026)
Compression of Site-Specific Deep Neural Networks for Massive MIMO Precoding
by: Kasalaee, Ghazal, et al.
Published: (2025)
by: Kasalaee, Ghazal, et al.
Published: (2025)
A Low-Complexity Plug-and-Play Deep Learning Model for Generalizable Massive MIMO Precoding
by: Karkan, Ali Hasanzadeh, et al.
Published: (2026)
by: Karkan, Ali Hasanzadeh, et al.
Published: (2026)
A Low-Complexity Plug-and-Play Deep Learning Model for Massive MIMO Precoding Across Sites
by: Karkan, Ali Hasanzadeh, et al.
Published: (2025)
by: Karkan, Ali Hasanzadeh, et al.
Published: (2025)
Deep Unfolding for MIMO Signal Detection
by: Ge, Hangli, et al.
Published: (2025)
by: Ge, Hangli, et al.
Published: (2025)
Learning to Quantize and Precode in Massive MIMO Systems for Energy Reduction: a Graph Neural Network Approach
by: Feys, Thomas, et al.
Published: (2025)
by: Feys, Thomas, et al.
Published: (2025)
Deep Unfolding with Kernel-based Quantization in MIMO Detection
by: Ren, Zeyi, et al.
Published: (2025)
by: Ren, Zeyi, et al.
Published: (2025)
WMMSE-Based Rate Maximization for RIS-Assisted MU-MIMO Systems
by: Choi, Hyuckjin, et al.
Published: (2024)
by: Choi, Hyuckjin, et al.
Published: (2024)
Flexible WMMSE Beamforming for MU-MIMO Movable Antenna Communications
by: Yang, Songjie, et al.
Published: (2025)
by: Yang, Songjie, et al.
Published: (2025)
Learning Optimal Linear Precoding for Cell-Free Massive MIMO with GNN
by: Parlier, Benjamin, et al.
Published: (2024)
by: Parlier, Benjamin, et al.
Published: (2024)
Decentralized Hybrid Precoding for Massive MU-MIMO ISAC
by: Zhu, Jun, et al.
Published: (2024)
by: Zhu, Jun, et al.
Published: (2024)
An Adaptive CSI Feedback Model Based on BiLSTM for Massive MIMO-OFDM Systems
by: Shen, Hongrui, et al.
Published: (2024)
by: Shen, Hongrui, et al.
Published: (2024)
Joint CSI Estimation-Feedback-Precoding via DJSCC for MU-MIMO OFDM Systems
by: Guo, Yiran, et al.
Published: (2025)
by: Guo, Yiran, et al.
Published: (2025)
A Single-Loop Deep Actor-Critic Algorithm for Constrained Reinforcement Learning with Provable Convergence
by: Wang, Kexuan, et al.
Published: (2023)
by: Wang, Kexuan, et al.
Published: (2023)
Approximate Partially Decentralized Linear EZF Precoding for Massive MU-MIMO Systems
by: Kaziu, Brikena, et al.
Published: (2024)
by: Kaziu, Brikena, et al.
Published: (2024)
Deep-Unfolded Massive Grant-Free Transmission in Cell-Free Wireless Communication Systems
by: Sun, Gangle, et al.
Published: (2025)
by: Sun, Gangle, et al.
Published: (2025)
Lightweight Learning for Grant-Free Activity Detection in Cell-Free Massive MIMO Networks
by: Elkeshawy, Ali, et al.
Published: (2025)
by: Elkeshawy, Ali, et al.
Published: (2025)
Deep Learning Based Joint Channel Estimation and Positioning for Sparse XL-MIMO OFDM Systems
by: Li, Zhongnian, et al.
Published: (2025)
by: Li, Zhongnian, et al.
Published: (2025)
ISDNN: A Deep Neural Network for Channel Estimation in Massive MIMO systems
by: Son, Do Hai, et al.
Published: (2024)
by: Son, Do Hai, et al.
Published: (2024)
Deep Unfolded Fractional Optimization for Maximizing Robust Throughput in 6G Networks
by: Bui, Anh Thi, et al.
Published: (2026)
by: Bui, Anh Thi, et al.
Published: (2026)
Optimizing Wireless Networks with Deep Unfolding: Comparative Study on Two Deep Unfolding Mechanisms
by: Adam, Abuzar B. M., et al.
Published: (2024)
by: Adam, Abuzar B. M., et al.
Published: (2024)
Robust Precoding for Resilient Cell-Free Networks
by: Mashdour, Saeed, et al.
Published: (2025)
by: Mashdour, Saeed, et al.
Published: (2025)
GraphMU: Repairing Robustness of Graph Neural Networks via Machine Unlearning
by: Wu, Tao, et al.
Published: (2024)
by: Wu, Tao, et al.
Published: (2024)
Truncated Polynomial Expansion-Based Detection in Massive MIMO: A Model-Driven Deep Learning Approach
by: Izadinasab, Kazem, et al.
Published: (2024)
by: Izadinasab, Kazem, et al.
Published: (2024)
Deep Learning-Based Channel Extrapolation for Dual-Band Massive MIMO Systems
by: Xiao, Qikai, et al.
Published: (2026)
by: Xiao, Qikai, et al.
Published: (2026)
Overview of Deep Learning-based CSI Feedback in Massive MIMO Systems
by: Guo, Jiajia, et al.
Published: (2022)
by: Guo, Jiajia, et al.
Published: (2022)
Robust Precoding for Rate-Splitting-Based Cell-Free MU-MIMO Networks
by: Flores, A., et al.
Published: (2025)
by: Flores, A., et al.
Published: (2025)
Study of Clustered Robust Linear Precoding for Cell-Free MU-MIMO Networks
by: Flores, A., et al.
Published: (2024)
by: Flores, A., et al.
Published: (2024)
Implicit vs Unfolded Graph Neural Networks
by: Yang, Yongyi, et al.
Published: (2021)
by: Yang, Yongyi, et al.
Published: (2021)
A New Solution for MU-MISO Symbol-Level Precoding: Extrapolation and Deep Unfolding
by: Liang, Mu, et al.
Published: (2024)
by: Liang, Mu, et al.
Published: (2024)
Robust Spatiotemporal Forecasting Using Adaptive Deep-Unfolded Variational Mode Decomposition
by: Ahmad, Osama, et al.
Published: (2025)
by: Ahmad, Osama, et al.
Published: (2025)
Context-aware Constrained Reinforcement Learning Based Energy-Efficient Power Scheduling for Non-stationary XR Data Traffic
by: Wang, Kexuan, et al.
Published: (2025)
by: Wang, Kexuan, et al.
Published: (2025)
Blind Construction of Angular Power Maps in Massive MIMO Networks
by: Xing, Zheng, et al.
Published: (2025)
by: Xing, Zheng, et al.
Published: (2025)
Generative AI-Driven Phase Control for RIS-Aided Cell-Free Massive MIMO Systems
by: Patel, Kalpesh K., et al.
Published: (2026)
by: Patel, Kalpesh K., et al.
Published: (2026)
Graph Neural Network Based Hybrid Beamforming Design in Wideband Terahertz MIMO-OFDM Systems
by: Li, Beier, et al.
Published: (2025)
by: Li, Beier, et al.
Published: (2025)
Learning-Based Multiuser Scheduling in MIMO-OFDM Systems with Hybrid Beamforming
by: Agheli, Pouya, et al.
Published: (2025)
by: Agheli, Pouya, et al.
Published: (2025)
Channel Estimation via Successive Denoising in MIMO OFDM Systems: A Reinforcement Learning Approach
by: Oh, Myeung Suk, et al.
Published: (2021)
by: Oh, Myeung Suk, et al.
Published: (2021)
Data-Driven Deep MIMO Detection:Network Architectures and Generalization Analysis
by: Yi, Yongwei, et al.
Published: (2026)
by: Yi, Yongwei, et al.
Published: (2026)
UrbanMIMOMap: A Ray-Traced MIMO CSI Dataset with Precoding-Aware Maps and Benchmarks
by: Jia, Honggang, et al.
Published: (2025)
by: Jia, Honggang, et al.
Published: (2025)
Similar Items
-
Joint User Priority and Power Scheduling for QoS-Aware WMMSE Precoding: A Constrained-Actor Attentive-Critic Approach
by: Wang, Kexuan, et al.
Published: (2025) -
Scenario-Adaptive MU-MIMO OFDM Semantic Communication With Asymmetric Neural Network
by: Li, Chongyang, et al.
Published: (2026) -
Compression of Site-Specific Deep Neural Networks for Massive MIMO Precoding
by: Kasalaee, Ghazal, et al.
Published: (2025) -
A Low-Complexity Plug-and-Play Deep Learning Model for Generalizable Massive MIMO Precoding
by: Karkan, Ali Hasanzadeh, et al.
Published: (2026) -
A Low-Complexity Plug-and-Play Deep Learning Model for Massive MIMO Precoding Across Sites
by: Karkan, Ali Hasanzadeh, et al.
Published: (2025)