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09/15/2023
Message Passing-Based Joint Channel Estimation and Signal Detection for OTFS with Superimposed Pilots
Receivers with joint channel estimation and signal detection using super...
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05/17/2023
Asynchronous Grant-Free Random Access: Receiver Design with Partially Uni-Directional Message Passing and Interference Suppression Analysis
Massive Machine-Type Communications (mMTC) features a massive number of ...
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04/14/2023
Hierarchically Structured Matrix Recovery-Based Channel Estimation for RIS-Aided Communications
Reconfigurable intelligent surface (RIS) has emerged as a promising tech...
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04/10/2023
Matrix Factorization Based Blind Bayesian Receiver for Grant-Free Random Access in mmWave MIMO mMTC
Grant-free random access is promising for massive connectivity with spor...
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11/09/2022
Hyper-Parameter Auto-Tuning for Sparse Bayesian Learning
Choosing the values of hyper-parameters in sparse Bayesian learning (SBL...
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10/25/2022
Variational Bayesian Inference Clustering Based Joint User Activity and Data Detection for Grant-Free Random Access in mMTC
Tailor-made for massive connectivity and sporadic access, grant-free ran...
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10/17/2022
A Unitary Transform Based Generalized Approximate Message Passing
We consider the problem of recovering an unknown signal 𝐱∈ℝ^n from gener...
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10/08/2022
Signal Detection in MIMO Systems with Hardware Imperfections: Message Passing on Neural Networks
In this paper, we investigate signal detection in multiple-input-multipl...
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07/31/2022
Unitary Approximate Message Passing for Matrix Factorization
We consider matrix factorization (MF) with certain constraints, which fi...
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01/01/2022
A Relaxed Energy Function Based Analog Neural Network Approach to Target Localization in Distributed MIMO Radar
Analog neural networks are highly effective to solve some optimization p...
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12/31/2021
Efficient Channel Estimation for RIS-Aided MIMO Communications with Unitary Approximate Message Passing
Reconfigurable intelligent surface (RIS) is very promising for wireless ...
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12/14/2021
Grant Free MIMO-NOMA with Differential Modulation for Machine Type Communications
This paper considers a challenging scenario of machine type communicatio...
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12/13/2021
Hformer: Hybrid CNN-Transformer for Fringe Order Prediction in Phase Unwrapping of Fringe Projection
Recently, deep learning has attracted more and more attention in phase u...
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07/21/2021
Bidirectional Approximate Message Passing for RIS-Assisted Multi-User MISO Communications
Reconfigurable intelligent surfaces (RISs) have been recently considered...
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06/28/2021
Channel Estimation and Signal Recovery for RIS-empowered Communications
Reconfigurable intelligent surfaces (RISs) have been recently considered...
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11/30/2020
Message Passing Based Structured Sparse Signal Recovery for Estimation of OTFS Channels with Fractional Doppler Shifts
The orthogonal time frequency space (OTFS) modulation has emerged as a p...
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08/15/2020
Iterative Detection for Orthogonal Time Frequency Space Modulation Using Approximate Message Passing with Unitary Transformation
The orthogonal time frequency space (OTFS) modulation has emerged as a p...
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07/01/2020
Massive MIMO As Extreme Learning Machine
This work shows that massive multiple-input multiple-output (MIMO) with ...
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05/28/2020
Approximate Message Passing with Unitary Transformation for Robust Bilinear Recovery
Recently, several promising approximate message passing (AMP) based algo...
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05/20/2020
User Activity Detection and Channel Estimation for Grant-Free Random Access in LEO Satellite-Enabled Internet-of-Things
With recent advances on the dense low-earth orbit (LEO) constellation, L...
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10/08/2019
DNN-Aided Message Passing Based Block Sparse Bayesian Learning for Joint User Activity Detection and Channel Estimation
Faced with the massive connection, sporadic transmission, and small-size...
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10/07/2019
DNN-Aided Block Sparse Bayesian Learning for User Activity Detection and Channel Estimation in Grant-Free Non-Orthogonal Random Access
In the upcoming Internet-of-Things (IoT) era, the communication is often...
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08/17/2019
Sparse Bayesian Learning Using Approximate Message Passing with Unitary Transformation
Sparse Bayesian learning (SBL) can be implemented with low complexity ba...
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06/24/2019
On the Performance of Massive MIMO Systems With Low-Resolution ADCs Over Rician Fading Channels
This paper considers uplink massive multiple-input multiple-output (MIMO...
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02/27/2019
Extreme Learning Machine-Based Receiver for MIMO LED Communications
This work concerns receiver design for light-emitting diode (LED) multip...
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10/19/2018
Linear Shrinkage Estimation of Covariance Matrices Using Low-Complexity Cross-Validation
Shrinkage can effectively improve the condition number and accuracy of c...
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10/10/2018