PhD in Information and Communication Engineering
Southeast University, 2021
An Adaptive and Robust Deep Learning Framework for THz Ultra-Massive MIMO Channel Estimation
Article
Article
Message Passing Meets Graph Neural Networks: A New Paradigm for Massive MIMO Systems
Article
Blind performance prediction for deep learning based ultra-massive MIMO channel estimation
Conference paper
Blind Performance Prediction for Deep Learning Based Ultra-Massive MIMO Channel Estimation
Conference paper
GNN-enhanced approximate message passing for massive/ultra-massive MIMO detection
Conference paper
Opponent Modeling Based Dynamic Resource Trading for UAV-Assisted Edge Computing
Conference paper
Resource Allocation for OTFS-Based ISAC Systems
Conference paper
Task-oriented communication with out-of-distribution detection: An information bottleneck framework
Conference paper
Channel estimation, feedback and signal detection
Book chapter
Belief Propagation for Near-Field Cooperative Localization and Tracking in 6G Vehicular Networks
Conference paper
Hybrid Far- and Near-Field Channel Estimation for THz Ultra-Massive MIMO via Fixed Point Networks
Conference paper
Cell-free massive MIMO for 6G wireless communication networks
Article
Adaptive Channel Estimation Based on Model-Driven Deep Learning for Wideband mmWave Systems
Conference paper
Distributed Expectation Propagation Detection for Cell-Free Massive MIMO
Conference paper
Model-driven deep learning for massive multiuser MIMO constant envelope precoding
Article
Model-Driven Deep Learning for Massive MU-MIMO with Finite-Alphabet Precoding
Article
Model-Driven Deep Learning for MIMO Detection
Article
Model-driven Deep Learning Based Turbo-MIMO Receiver
Conference paper
Model-driven deep learning for physical layer communications
Article
A Model-Driven Deep Learning Network for MIMO Detection
Conference paper
Channel Estimation for Millimeter Wave Massive MIMO Systems with Low-Resolution ADCs
Conference paper
Deep Learning Based on Orthogonal Approximate Message Passing for CP-Free OFDM
Conference paper
Bayesian Optimal Data Detector for Hybrid mmWave MIMO-OFDM Systems With Low-Resolution ADCs
Article
Deep Learning-Based Channel Estimation for Beamspace mmWave Massive MIMO Systems
Article
Generalized expectation consistent signal recovery for nonlinear measurements
Conference paper
An Adaptive and Robust Deep Learning Framework for THz Ultra-Massive MIMO Channel Estimation
Message Passing Meets Graph Neural Networks: A New Paradigm for Massive MIMO Systems
Blind performance prediction for deep learning based ultra-massive MIMO channel estimation
Blind Performance Prediction for Deep Learning Based Ultra-Massive MIMO Channel Estimation
GNN-enhanced approximate message passing for massive/ultra-massive MIMO detection
Opponent Modeling Based Dynamic Resource Trading for UAV-Assisted Edge Computing
Task-oriented communication with out-of-distribution detection: An information bottleneck framework
Model-driven deep learning for massive multiuser MIMO constant envelope precoding
Model-Driven Deep Learning for Massive MU-MIMO with Finite-Alphabet Precoding
Bayesian Optimal Data Detector for Hybrid mmWave MIMO-OFDM Systems With Low-Resolution ADCs
Article
Deep Learning-Based Channel Estimation for Beamspace mmWave Massive MIMO Systems
Article
Generalized expectation consistent signal recovery for nonlinear measurements
Conference paper
No Publications |
ELEC5360 | Principles of Digital Communications |
No Teaching Assignments |
No Teaching Assignments |
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No Teaching Assignments |
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