82 citations · 416 across the 34 of their papers we have counts for
26 papers · 1 filter
Matrix Factorization Based Blind Bayesian Receiver for Grant-Free Random Access in mmWave MIMO mMTC
Zhengdao Yuan, Fei Liu, Qinghua Guo +3
Grant-free random access is promising for massive connectivity with sporadic transmissions in massive machine type communications (mMTC), where the hand-shaking between the access…
A Unitary Transform Based Generalized Approximate Message Passing
Jiang Zhu, Xiangming Meng, Xupeng Lei +1
We consider the problem of recovering an unknown signal from general nonlinear measurements obtained through a generalized linear model (GLM), i.e.,…
A Relaxed Energy Function Based Analog Neural Network Approach to Target Localization in Distributed MIMO Radar
Xiaoyu Zhao, Jun Li, Qinghua Guo
Analog neural networks are highly effective to solve some optimization problems, and they have been used for target localization in distributed multiple-input multiple-output (MIMO…
Efficient Channel Estimation for RIS-Aided MIMO Communications with Unitary Approximate Message Passing
Yabo Guo, Peng Sun, Zhengdao Yuan +4
Reconfigurable intelligent surface (RIS) is very promising for wireless networks to achieve high energy efficiency, extended coverage, improved capacity, massive connectivity, etc.…
Grant Free MIMO-NOMA with Differential Modulation for Machine Type Communications
Yuanyuan Zhang, Zhengdao Yuan, Qinghua Guo +4
This paper considers a challenging scenario of machine type communications, where we assume internet of things (IoT) devices send short packets sporadically to an access point (AP)…
Joint Channel Estimation and Signal Recovery for RIS-Empowered Multi-User Communications
Li Wei, Chongwen Huang, Qinghua Guo +5
Reconfigurable intelligent surfaces (RISs) have been recently considered as a promising candidate for energy-efficient solutions in future wireless networks. Their dynamic and lowp…
Message Passing Based Structured Sparse Signal Recovery for Estimation of OTFS Channels with Fractional Doppler Shifts
Fei Liu, Zhengdao Yuan, Qinghua Guo +2
The orthogonal time frequency space (OTFS) modulation has emerged as a promising modulation scheme for high mobility wireless communications. To enable efficient OTFS detection in…
Iterative Detection for Orthogonal Time Frequency Space Modulation with Unitary Approximate Message Passing
Zhengdao Yuan, Fei Liu, Weijie Yuan +3
The orthogonal-time-frequency-space (OTFS) modulation has emerged as a promising modulation scheme for high mobility wireless communications. To harvest the time and frequency dive…
User Activity Detection and Channel Estimation for Grant-Free Random Access in LEO Satellite-Enabled Internet-of-Things
Zhaoji Zhang, Ying Li, Chongwen Huang +4
With recent advances on the dense low-earth orbit (LEO) constellation, LEO satellite network has become one promising solution to providing global coverage for Internet-of-Things (…
Approximate Message Passing with Unitary Transformation for Robust Bilinear Recovery
Zhengdao Yuan, Qinghua Guo, Man Luo
Recently, several promising approximate message passing (AMP) based algorithms have been developed for bilinear recovery with model $\boldsymbol{Y}=\sum_{k=1}^K b_k \boldsymbol{A}_…
Bayesian Receiver Design for Grant-Free NOMA with Message Passing Based Structured Signal Estimation
Yuanyuan Zhang, Zhengdao Yuan, Qinghua Guo +3
Grant-free non-orthogonal multiple access (NOMA) is promising to achieve low latency massive access in Internet of Things (IoT) applications. In grant-free NOMA, pilot signals are…
DNN-Aided Block Sparse Bayesian Learning for User Activity Detection and Channel Estimation in Grant-Free Non-Orthogonal Random Access
Zhaoji Zhang, Ying Li, Chongwen Huang +3
In the upcoming Internet-of-Things (IoT) era, the communication is often featured by massive connection, sporadic transmission, and small-sized data packets, which poses new requir…
DNN-Aided Message Passing Based Block Sparse Bayesian Learning for Joint User Activity Detection and Channel Estimation
Zhaoji Zhang, Ying Li, Chongwen Huang +3
Faced with the massive connection, sporadic transmission, and small-sized data packets in future cellular communication, a grant-free non-orthogonal random access (NORA) system is…
Sparse Bayesian Learning Using Approximate Message Passing with Unitary Transformation
Man Luo, Qinghua Guo
Sparse Bayesian learning (SBL) can be implemented with low complexity based on the approximate message passing (AMP) algorithm. However, it is vulnerable to `difficult' measurement…
Linear Shrinkage Estimation of Covariance Matrices Using Low-Complexity Cross-Validation
Jun Tong, Rui Hu, Jiangtao Xi +3
Shrinkage can effectively improve the condition number and accuracy of covariance matrix estimation, especially for low-sample-support applications with the number of training samp…
Matrix Completion-Based Channel Estimation for MmWave Communication Systems With Array-Inherent Impairments
Rui Hu, Jun Tong, Jiangtao Xi +2
Hybrid massive MIMO structures with reduced hardware complexity and power consumption have been widely studied as a potential candidate for millimeter wave (mmWave) communications.…
Iterative Receivers for Downlink MIMO-SCMA: Message Passing and Distributed Cooperative Detection
Weijie Yuan, Nan Wu, Qinghua Guo +3
The rapid development of the mobile communications requires ever higher spectral efficiency. The non-orthogonal multiple access (NOMA) has emerged as a promising technology to furt…
Low-Complexity Message Passing Based Massive MIMO Channel Estimation by Exploiting Unknown Sparse Common Support with Dirichlet Process
Zhengdao Yuan, Chuanzong Zhang, Zhongyong Wang +1
This paper investigates the problem of estimating sparse channels in massive MIMO systems. Most wireless channels are sparse with large delay spread, while some channels can be obs…
A New Combination of Message Passing Techniques for Receiver Design in MIMO-OFDM Systems
Chuanzong Zhang, Zhengdao Yuan, Zhongyong Wang +1
In this paper, we propose a new combined message passing algorithm which allows belief propagation (BP) and mean filed (MF) applied on a same factor node, so that MF can be applied…
Low-Complexity and Basis-Free Channel Estimation for Switch-Based mmWave MIMO Systems via Matrix Completion
Rui Hu, Jun Tong, Jiangtao Xi +2
Recently, a switch-based hybrid massive MIMO structure that aims to reduce the hardware complexity and power consumption has been proposed as a potential candidate for millimeter w…
A BP-MF-EP Based Iterative Receiver for Joint Phase Noise Estimation, Equalization and Decoding
Wei Wang, Zhongyong Wang, Chuanzong Zhang +3
In this work, with combined belief propagation (BP), mean field (MF) and expectation propagation (EP), an iterative receiver is designed for joint phase noise (PN) estimation, equa…
Turbo-Equalization Using Partial Gaussian Approximation
Chuanzong Zhang, Zhongyong Wang, Carles Navarro Manchón +3
This paper deals with turbo-equalization for coded data transmission over intersymbol interference (ISI) channels. We propose a message-passing algorithm that uses the expectation-…
Low Complexity Sparse Bayesian Learning Using Combined BP and MF with a Stretched Factor Graph
Chuanzong Zhang, Zhengdao Yuan, Zhongyong Wang +1
This paper concerns message passing based approaches to sparse Bayesian learning (SBL) with a linear model corrupted by additive white Gaussian noise with unknown variance. With th…
A Low Complexity OFDM Receiver with Combined GAMP and MF Message Passing
Zhengdao Yuan, Chuanzong Zhang, Zhongyong Wang +3
With a unified belief propagation (BP) and mean field (MF) framework, we propose an iterative message passing receiver, which performs joint channel state and noise precision (the…