Approximate Message Passing-Enhanced Graph Neural Network for OTFS Data Detection

Bayes-Optimal Unsupervised Learning for Channel Estimation in Near-Field Holographic MIMO

Message Passing Meets Graph Neural Networks: A New Paradigm for Massive MIMO Systems

Deep Learning-Based Adaptive Joint Source-Channel Coding using Hypernetworks

Learning Bayes-optimal channel estimation for holographic MIMO in unknown EM environments

Model-Driven Deep Learning for Distributed Detection in WSNs with Binary Quantization

Newtonized Near-Field Channel Estimation for Ultra-Massive MIMO Systems

The Effect of Quantization in Federated Learning: A Rényi Differential Privacy Perspective

An Adaptive and Robust Deep Learning Framework for THz Ultra-Massive MIMO Channel Estimation

Beamspace Channel Estimation for Wideband Millimeter-Wave MIMO: A Model-Driven Unsupervised Learning Approach

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

Resource Allocation for OTFS-Based ISAC Systems

Task-oriented communication with out-of-distribution detection: An information bottleneck framework

Channel estimation, feedback and signal detection

Belief Propagation for Near-Field Cooperative Localization and Tracking in 6G Vehicular Networks

Hybrid Far- and Near-Field Channel Estimation for THz Ultra-Massive MIMO via Fixed Point Networks

Cell-free massive MIMO for 6G wireless communication networks

Adaptive Channel Estimation Based on Model-Driven Deep Learning for Wideband mmWave Systems

Distributed Expectation Propagation Detection for Cell-Free Massive MIMO

Model-driven deep learning for massive multiuser MIMO constant envelope precoding

Model-Driven Deep Learning for Massive MU-MIMO with Finite-Alphabet Precoding

Model-Driven Deep Learning for MIMO Detection

Model-driven Deep Learning Based Turbo-MIMO Receiver

Model-driven deep learning for physical layer communications

A Model-Driven Deep Learning Network for MIMO Detection

Channel Estimation for Millimeter Wave Massive MIMO Systems with Low-Resolution ADCs

Deep Learning Based on Orthogonal Approximate Message Passing for CP-Free OFDM

Bayesian Optimal Data Detector for Hybrid mmWave MIMO-OFDM Systems With Low-Resolution ADCs

Deep Learning-Based Channel Estimation for Beamspace mmWave Massive MIMO Systems

Generalized expectation consistent signal recovery for nonlinear measurements

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