57 citations · 106 across the 16 of their papers we have counts for
16 papers
Neural Network-Assisted Hybrid Model Based Message Passing for Parametric Holographic MIMO Near Field Channel Estimation
Zhengdao Yuan, Yabo Guo, Dawei Gao +5
Holographic multiple-input and multiple-output (HMIMO) is a promising technology with the potential to achieve high energy and spectral efficiencies, enhance system capacity and di…
Integrated Near Field Sensing and Communications Using Unitary Approximate Message Passing Based Matrix Factorization
Zhengdao Yuan, Qinghua Guo, Yonina C. Eldar +1
Due to the utilization of large antenna arrays at base stations (BSs) and the operations of wireless communications in high frequency bands, mobile terminals often find themselves…
Joint Near Field Uplink Communication and Localization Using Message Passing-Based Sparse Bayesian Learning
Fei Liu, Zhengdao Yuan, Qinghua Guo +3
This work deals with the problem of uplink communication and localization in an integrated sensing and communication system, where users are in the near field (NF) of antenna apert…
Hierarchically Structured Matrix Recovery-Based Channel Estimation for RIS-Aided Communications
Yabo Guo, Peng Sun, Zhengdao Yuan +2
Reconfigurable intelligent surface (RIS) has emerged as a promising technology for improving capacity and extending coverage of wireless networks. In this work, we consider RIS-aid…
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…
Unitary Approximate Message Passing for Matrix Factorization
Zhengdao Yuan, Qinghua Guo, Yonina C. Eldar +1
We consider matrix factorization (MF) with certain constraints, which finds wide applications in various areas. Leveraging variational inference (VI) and unitary approximate messag…
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)…
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…
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…
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 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…