research
∙
11/29/2022
An Adaptive and Robust Deep Learning Framework for THz Ultra-Massive MIMO Channel Estimation
Terahertz ultra-massive MIMO (THz UM-MIMO) is envisioned as one of the k...
share
research
∙
11/15/2022
Blind Performance Prediction for Deep Learning Based Ultra-Massive MIMO Channel Estimation
Reliability is of paramount importance for the physical layer of wireles...
research
∙
05/21/2022
Graph Neural Network Enhanced Approximate Message Passing for MIMO Detection
Efficient multiple-input multiple-output (MIMO) detection algorithms wit...
research
∙
05/10/2022
Hybrid Far- and Near-Field Channel Estimation for THz Ultra-Massive MIMO via Fixed Point Networks
Terahertz ultra-massive multiple-input multiple-output (THz UM-MIMO) is ...
research
∙
11/28/2021
Cell-Free Massive MIMO Detection: A Distributed Expectation Propagation Approach
Cell-free massive MIMO is one of the core technologies for future wirele...
research
∙
10/14/2021
Cell-Free Massive MIMO for 6G Wireless Communication Networks
The recently commercialized fifth-generation (5G) wireless communication...
research
∙
08/17/2021
Distributed Expectation Propagation Detection for Cell-Free Massive MIMO
In cell-free massive MIMO networks, an efficient distributed detection a...
research
∙
06/30/2020
Beamspace Channel Estimation in Terahertz Communications: A Model-Driven Unsupervised Learning Approach
Terahertz (THz)-band communications have been one of the promising techn...
research
∙
06/28/2020
Model-Driven Deep Learning for Massive MU-MIMO with Finite-Alphabet Precoding
Massive multiuser multiple-input multiple-output (MU-MIMO) has been the ...
research
∙
07/22/2019
Model-Driven Deep Learning for Joint MIMO Channel Estimation and Signal Detection
In this paper, we investigate the model-driven deep learning (DL) for jo...
research
∙
05/04/2019
Deep Learning Based on Orthogonal Approximate Message Passing for CP-Free OFDM
Channel estimation and signal detection are very challenging for an orth...
research
∙
09/25/2018
A Model-Driven Deep Learning Network for MIMO Detection
In this paper, we propose a model-driven deep learning network for multi...
research
∙
09/17/2018
Model-Driven Deep Learning for Physical Layer Communications
Intelligent communication is gradually considered as the mainstream dire...
research
∙
03/25/2018
Bayesian Optimal Data Detector for Hybrid mmWave MIMO-OFDM Systems with Low-Resolution ADCs
Hybrid analog-digital precoding architectures and low-resolution analog-...
research
∙
02/05/2018