activity
20172024
most citedMessage Passing Based Structured Sparse Signal Recovery for Estimation of OTFS Channels with Fractional Doppler Shifts

5 citations · 11 across the 11 of their papers we have counts for

collaborators

14 papers

cs.IT2024

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…

cs.IT2024

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…

cs.IT2024

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…

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…

eess.SP2022★ 2 cited

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…