16 citations · 25 across the 11 of their papers we have counts for
11 papers
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…
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…
Signal Detection in MIMO Systems with Hardware Imperfections: Message Passing on Neural Networks
Dawei Gao, Qinghua Guo, Guisheng Liao +4
In this paper, we investigate signal detection in multiple-input-multiple-output (MIMO) communication systems with hardware impairments, such as power amplifier nonlinearity and in…
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…
Spatio-Temporal-Frequency Graph Attention Convolutional Network for Aircraft Recognition Based on Heterogeneous Radar Network
Han Meng, Yuexing Peng, Wenbo Wang +3
This paper proposes a knowledge-and-data-driven graph neural network-based collaboration learning model for reliable aircraft recognition in a heterogeneous radar network. The airc…
Reconfigurable MIMO towards Electro-magnetic Information Theory: Capacity Maximization Pattern Design
Haonan Wang, Ang Li, Ya-feng Liu +3
In this paper, we focus on the pattern reconfigurable multiple-input multiple-output (PR-MIMO), a technique that has the potential to bridge the gap between electro-magnetics and c…
Predictive Beamforming for Integrated Sensing and Communication in Vehicular Networks: A Deep Learning Approach
Chang Liu, Weijie Yuan, Shuangyang Li +3
The implementation of integrated sensing and communication (ISAC) highly depends on the effective beamforming design exploiting accurate instantaneous channel state information (IC…
NOMA Joint Channel Estimation and Signal Detection using Rotational Invariant Codes and GMM-based Clustering
Ayoob Salari, Mahyar Shirvanimoghaddam, Muhammad Basit Shahab +2
This paper studies the joint channel estimation and signal detection for the uplink power-domain non-orthogonal multiple access. The proposed technique performs both detection and…
Density Evolution Analysis of the Iterative Joint Ordered-Statistics Decoding for NOMA
Chentao Yue, Mahyar Shirvanimoghaddam, Alva Kosasih +5
In this paper, we develop a density evolution (DE) framework for analyzing the iterative joint decoding (JD) for non-orthogonal multiple access (NOMA) systems, where the ordered-st…
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)…
Learning-based Predictive Beamforming for Integrated Sensing and Communication in Vehicular Networks
Chang Liu, Weijie Yuan, Shuangyang Li +4
This paper investigates the integrated sensing and communication (ISAC) in vehicle-to-infrastructure (V2I) networks. To realize ISAC, an effective beamforming design is essential w…