116 citations · 240 across the 13 of their papers we have counts for
13 papers
Model-driven deep neural network for enhanced direction finding with commodity 5G gNodeB
Shengheng Liu, Zihuan Mao, Xingkang Li +4
Pervasive and high-accuracy positioning has become increasingly important as a fundamental enabler for intelligent connected devices in mobile networks. Nevertheless, current wirel…
5G NR monostatic positioning with array impairments: Data-and-model-driven framework and experiment results
Shengheng Liu, Hao Wang, Mengguan Pan +3
In this article, we present an intelligent framework for 5G new radio (NR) indoor positioning under a monostatic configuration. The primary objective is to estimate both the angle…
Model-Driven Deep Neural Network for Enhanced AoA Estimation Using 5G gNB
Shengheng Liu, Xingkang Li, Zihuan Mao +2
High-accuracy positioning has become a fundamental enabler for intelligent connected devices. Nevertheless, the present wireless networks still rely on model-driven approaches to a…
Fine-grained graph representation learning for heterogeneous mobile networks with attentive fusion and contrastive learning
Shengheng Liu, Tianqi Zhang, Ningning Fu +1
AI becomes increasingly vital for telecom industry, as the burgeoning complexity of upcoming mobile communication networks places immense pressure on network operators. While there…
In-Situ Calibration of Antenna Arrays for Positioning With 5G Networks
Mengguan Pan, Shengheng Liu, Peng Liu +5
Owing to the ubiquity of cellular communication signals, positioning with the fifth generation (5G) signal has emerged as a promising solution in global navigation satellite system…
Fast Direct Localization for Millimeter Wave MIMO Systems via Deep ADMM Unfolding
Wenzhe Fan, Shengheng Liu, Chunguo Li +1
Massive arrays deployed in millimeter-wave systems enable high angular resolution performance, which in turn facilitates sub-meter localization services. Albeit suboptimal, up to n…
Secure Communication for Spatially Correlated RIS-Aided Multiuser Massive MIMO Systems: Analysis and Optimization
Dan Yang, Jindan Xu, Wei Xu +2
This letter investigates the secure communication in a reconfigurable intelligent surface (RIS)-aided multiuser massive multiple-input multiple-output (MIMO) system exploiting arti…
Link-level simulator for 5G localization
Xinghua Jia, Peng Liu, Wangdong Qi +5
Channel-state-information-based localization in 5G networks has been a promising way to obtain highly accurate positions compared to previous communication networks. However, there…
Unsupervised Recurrent Federated Learning for Edge Popularity Prediction in Privacy-Preserving Mobile Edge Computing Networks
Chong Zheng, Shengheng Liu, Yongming Huang +2
Nowadays wireless communication is rapidly reshaping entire industry sectors. In particular, mobile edge computing (MEC) as an enabling technology for industrial Internet of things…
Learnable Model-Driven Performance Prediction and Optimization for Imperfect MIMO System: Framework and Application
Fan Meng, Shengheng Liu, Yongming Huang +1
State-of-the-art schemes for performance analysis and optimization of multiple-input multiple-output systems generally experience degradation or even become invalid in dynamic comp…
Efficient Joint DOA and TOA Estimation for Indoor Positioning with 5G Picocell Base Stations
Mengguan Pan, Peng Liu, Shengheng Liu +5
The ubiquity, large bandwidth, and spatial diversity of the fifth generation (5G) cellular signal render it a promising candidate for accurate positioning in indoor environments wh…
Joint DoA-Range Estimation Using Space-Frequency Virtual Difference Coarray
Zihuan Mao, Shengheng Liu, Yimin D. Zhang +2
In this paper, we address the problem of joint direction-of-arrival (DoA) and range estimation using frequency diverse coprime array (FDCA). By incorporating the coprime array stru…
Joint User Scheduling and Beamforming Design for Multiuser MISO Downlink Systems
S. He, J. Yuan, Z. An +3
In multiuser communication systems, user scheduling and beamforming (US-BF) design are two fundamental problems that are usually studied separately in the existing literature. In t…