Cover Image

Deep Learning-Based Channel Extrapolation for Dual-Band Massive MIMO Systems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xiao, Qikai, Li, Kehui, Zhou, Binggui, Ma, Shaodan
Format:	Preprint
Published:	2026
Subjects:	Signal Processing Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Low-Overhead Channel Estimation via 3D Extrapolation for TDD mmWave Massive MIMO Systems Under High-Mobility Scenarios
by: Zhou, Binggui, et al.
Published: (2024)

Out-of-Band Modality Synergy Based Multi-User Beam Prediction and Proactive BS Selection with Zero Pilot Overhead
by: Li, Kehui, et al.
Published: (2025)

Pay Less But Get More: A Dual-Attention-based Channel Estimation Network for Massive MIMO Systems with Low-Density Pilots
by: Zhou, Binggui, et al.
Published: (2023)

A Low-Overhead Incorporation-Extrapolation based Few-Shot CSI Feedback Framework for Massive MIMO Systems
by: Zhou, Binggui, et al.
Published: (2023)

Joint Sparsity Pattern Learning Based Channel Estimation for Massive MIMO-OTFS Systems
by: Meng, Kuo, et al.
Published: (2024)

ISDNN: A Deep Neural Network for Channel Estimation in Massive MIMO systems
by: Son, Do Hai, et al.
Published: (2024)

Model-Driven Deep Learning Enhanced Joint Beamforming and Mode Switching for RDARS-Aided MIMO Systems
by: Ji, Chengwang, et al.
Published: (2025)

CF-CGN: Channel Fingerprints Extrapolation for Multi-band Massive MIMO Transmission based on Cycle-Consistent Generative Networks
by: Xie, Chenjie, et al.
Published: (2024)

Deep Learning Based Joint Channel Estimation and Positioning for Sparse XL-MIMO OFDM Systems
by: Li, Zhongnian, et al.
Published: (2025)

Overview of Deep Learning-based CSI Feedback in Massive MIMO Systems
by: Guo, Jiajia, et al.
Published: (2022)

Deep Learning-based Position-domain Channel Extrapolation for Cell-Free Massive MIMO
by: Guo, Jiajia, et al.
Published: (2025)

Truncated Polynomial Expansion-Based Detection in Massive MIMO: A Model-Driven Deep Learning Approach
by: Izadinasab, Kazem, et al.
Published: (2024)

Deep Learning-based Implicit CSI Feedback in Massive MIMO
by: Chen, Muhan, et al.
Published: (2021)

Deep-Learning-Based Channel Estimation for Distributed MIMO with 1-bit Radio-Over-Fiber Fronthaul
by: Bordbar, Alireza, et al.
Published: (2024)

A Low-Complexity Plug-and-Play Deep Learning Model for Generalizable Massive MIMO Precoding
by: Karkan, Ali Hasanzadeh, et al.
Published: (2026)

Downlink MIMO Channel Estimation from Bits: Recoverability and Algorithm
by: Shrestha, Rajesh, et al.
Published: (2024)

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 Massive MIMO Precoding Across Sites
by: Karkan, Ali Hasanzadeh, et al.
Published: (2025)

Machine Learning-Based Channel Prediction for RIS-assisted MIMO Systems With Channel Aging
by: Ginige, Nipuni, et al.
Published: (2024)

A Deep Learning Approach for User-Centric Clustering in Cell-Free Massive MIMO Systems
by: Di Gennaro, Giovanni, et al.
Published: (2024)

Distributed Machine Learning Approach for Low-Latency Localization in Cell-Free Massive MIMO Systems
by: Kumar, Manish, et al.
Published: (2025)

Deep-Learning-Based Channel Estimation for IRS-Assisted ISAC System
by: Liu, Yu, et al.
Published: (2024)

A Comparative Study of Deep Learning and Iterative Algorithms for Joint Channel Estimation and Signal Detection in OFDM Systems
by: Ju, Haocheng, et al.
Published: (2023)

Channel Estimation via Successive Denoising in MIMO OFDM Systems: A Reinforcement Learning Approach
by: Oh, Myeung Suk, et al.
Published: (2021)

Robust Beamforming Design and Antenna Selection for Dynamic HRIS-aided MISO System
by: Wang, Jintao, et al.
Published: (2024)

Statistical Channel Fingerprint Construction for Massive MIMO: A Unified Tensor Learning Framework
by: Jin, Zhenzhou, et al.
Published: (2026)

Channel Fingerprint Construction for Massive MIMO: A Deep Conditional Generative Approach
by: Jin, Zhenzhou, et al.
Published: (2025)

Lightweight Learning for Grant-Free Activity Detection in Cell-Free Massive MIMO Networks
by: Elkeshawy, Ali, et al.
Published: (2025)

Basis Expansion Extrapolation based Long-Term Channel Prediction for Massive MIMO OTFS Systems
by: Zhang, Yanfeng, et al.
Published: (2025)

Deep Learning Model-Based Channel Estimation for THz Band Massive MIMO with RF Impairments
by: Tarafder, Pulok, et al.
Published: (2024)

An Adaptive CSI Feedback Model Based on BiLSTM for Massive MIMO-OFDM Systems
by: Shen, Hongrui, et al.
Published: (2024)

Lossy Microwave Linear Analog Computer (MiLAC) for Future MIMO: Learning-based Architecture Designs for Spectral and Energy Efficiency Maximization
by: Zhou, Binggui, et al.
Published: (2026)

CSI-GPT: Integrating Generative Pre-Trained Transformer with Federated-Tuning to Acquire Downlink Massive MIMO Channels
by: Zeng, Ye, et al.
Published: (2024)

Deep-Learning Channel Estimation for IRS-Assisted Integrated Sensing and Communication System
by: Liu, Yu, et al.
Published: (2024)

EqDeepRx: Learning a Scalable MIMO Receiver
by: Honkala, Mikko, et al.
Published: (2026)

Near-field Spatial-domain Channel Extrapolation for XL-MIMO Systems
by: Lu, Jiayi, et al.
Published: (2025)

Robust Learning-Based Sparse Recovery for Device Activity Detection in Grant-Free Random Access Cell-Free Massive MIMO: Enhancing Resilience to Impairments
by: Elkeshawy, Ali, 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)

Joint Multi-Target Detection-Tracking in Cognitive Massive MIMO Radar via POMCP
by: Bouhou, Imad, et al.
Published: (2025)

Learning Optimal Linear Precoding for Cell-Free Massive MIMO with GNN
by: Parlier, Benjamin, et al.
Published: (2024)