activity
20162023
most citedLow Complexity Sparse Bayesian Learning Using Combined BP and MF with a Stretched Factor Graph

33 citations · 79 across the 18 of their papers we have counts for

collaborators

18 papers

cs.IT2023

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…

cs.IT2023

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…

cs.IT2022

Hybrid Message Passing Algorithm for Downlink FDD Massive MIMO-OFDM Channel Estimation

Yi Song, Chuanzong Zhang, Xinhua Lu +2

The design of message passing (MP) algorithms on factor graphs is an effective manner to implement channel estimation (CE) in wireless communication systems, which performance can…

cs.IT2021

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.…

cs.IT2021★ 2 cited

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)…

cs.IT2020★ 5 cited

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…

cs.IT2020★ 1 cited

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…

cs.IT2020

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…

cs.IT2018★ 21 cited

Joint Channel-Estimation/Decoding with Frequency-Selective Channels and Few-Bit ADCs

Peng Sun, Zhongyong Wang, Robert W. Heath +1

We propose a fast and near-optimal approach to joint channel-estimation, equalization, and decoding of coded single-carrier (SC) transmissions over frequency-selective channels wit…

cs.IT2018

AN-aided Secure Transmission in Multi-user MIMO SWIPT Systems

Zhengyu Zhu, Ning Wang, Zheng Chu +2

In this paper, an energy harvesting scheme for a multi-user multiple-input-multiple-output (MIMO) secrecy channel with artificial noise (AN) transmission is investigated. Joint opt…

cs.IT2018

Energy Harvesting Fairness in AN-aided Secure MU-MIMO SWIPT Systems with Cooperative Jammer

Zhengyu Zhu, Zheng Chu, Ning Wang +2

In this paper, we study a multi-user multiple-input-multiple-output secrecy simultaneous wireless information and power transfer (SWIPT) channel which consists of one transmitter,…

cs.IT2017★ 1 cited

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…

cs.IT2017

Beamforming and Power Splitting Designs for AN-aided Secure Multi-user MIMO SWIPT Systems

Zhengyu Zhu, Zheng Chu, Ning Wang +3

In this paper, an energy harvesting scheme for a multi-user multiple-input-multiple-output (MIMO) secrecy channel with artificial noise (AN) transmission is investigated. Joint opt…

cs.IT2017★ 1 cited

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…

cs.IT2016★ 9 cited

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…

cs.IT2016★ 2 cited

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-…

cs.IT2016★ 33 cited

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…

cs.IT2016★ 4 cited

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…