242 citations · 274 across the 16 of their papers we have counts for
16 papers
SCSC: A Novel Standards-Compatible Semantic Communication Framework for Image Transmission
Xue Han, Yongpeng Wu, Zhen Gao +4
Joint source-channel coding (JSCC) is a promising paradigm for next-generation communication systems, particularly in challenging transmission environments. In this paper, we propo…
AI Empowered Channel Semantic Acquisition for 6G Integrated Sensing and Communication Networks
Yifei Zhang, Zhen Gao, Jingjing Zhao +4
Motivated by the need for increased spectral efficiency and the proliferation of intelligent applications, the sixth-generation (6G) mobile network is anticipated to integrate the…
UAV Trajectory Planning for AoI-Minimal Data Collection in UAV-Aided IoT Networks by Transformer
Botao Zhu, Ebrahim Bedeer, Ha H. Nguyen +2
Maintaining freshness of data collection in Internet-of-Things (IoT) networks has attracted increasing attention. By taking into account age-of-information (AoI), we investigate th…
Hybrid Knowledge-Data Driven Channel Semantic Acquisition and Beamforming for Cell-Free Massive MIMO
Zhen Gao, Shicong Liu, Yu Su +2
This paper focuses on advancing outdoor wireless systems to better support ubiquitous extended reality (XR) applications, and close the gap with current indoor wireless transmissio…
R-PMAC: A Robust Preamble Based MAC Mechanism Applied in Industrial Internet of Things
Kai Song, Biqian Feng, Yongpeng Wu +2
This paper proposes a novel media access control (MAC) mechanism, called the robust preamble-based MAC mechanism (R-PMAC), which can be applied to power line communication (PLC) ne…
Unsourced Massive Access-Based Digital Over-the-Air Computation for Efficient Federated Edge Learning
Li Qiao, Zhen Gao, Zhongxiang Li +1
Over-the-air computation (OAC) is a promising technique to achieve fast model aggregation across multiple devices in federated edge learning (FEEL). In addition to the analog schem…
Next-Generation URLLC with Massive Devices: A Unified Semi-Blind Detection Framework for Sourced and Unsourced Random Access
Malong Ke, Zhen Gao, Mingyu Zhou +3
This paper proposes a unified semi-blind detection framework for sourced and unsourced random access (RA), which enables next-generation ultra-reliable low-latency communications (…
Grant-Free NOMA-OTFS Paradigm: Enabling Efficient Ubiquitous Access for LEO Satellite Internet-of-Things
Zhen Gao, Xingyu Zhou, Jingjing Zhao +7
With the blooming of Internet-of-Things (IoT), we are witnessing an explosion in the number of IoT terminals, triggering an unprecedented demand for ubiquitous wireless access glob…
The Road to Industry 4.0 and Beyond: A Communications-, Information-, and Operation Technology Collaboration Perspective
Ziwei Wan, Zhen Gao, Marco Di Renzo +1
The fourth industrial revolution, i.e., Industry 4.0, is evolving all around the globe. In this article, we introduce the landscape of Industry 4.0 and beyond empowered by the seam…
Transformer-Empowered 6G Intelligent Networks: From Massive MIMO Processing to Semantic Communication
Yang Wang, Zhen Gao, Dezhi Zheng +3
It is anticipated that 6G wireless networks will accelerate the convergence of the physical and cyber worlds and enable a paradigm-shift in the way we deploy and exploit communicat…
Joint Activity and Blind Information Detection for UAV-Assisted Massive IoT Access
Li Qiao, Jun Zhang, Zhen Gao +5
Grant-free non-coherent index-modulation (NC-IM) has been recently considered as an efficient massive access scheme for enabling cost- and energy-limited Internet-of-Things (IoT) d…
Data-Driven Deep Learning Based Hybrid Beamforming for Aerial Massive MIMO-OFDM Systems with Implicit CSI
Zhen Gao, Minghui Wu, Chun Hu +4
In an aerial hybrid massive multiple-input multiple-output (MIMO) and orthogonal frequency division multiplexing (OFDM) system, how to design a spectral-efficient broadband multi-u…
Active Terminal Identification, Channel Estimation, and Signal Detection for Grant-Free NOMA-OTFS in LEO Satellite Internet-of-Things
Xingyu Zhou, Keke Ying, Zhen Gao +5
This paper investigates the massive connectivity of low Earth orbit (LEO) satellite-based Internet-of-Things (IoT) for seamless global coverage. We propose to integrate the grant-f…
Trajectory Design for UAV-Based Internet-of-Things Data Collection: A Deep Reinforcement Learning Approach
Yang Wang, Zhen Gao, Jun Zhang +5
In this paper, we investigate an unmanned aerial vehicle (UAV)-assisted Internet-of-Things (IoT) system in a sophisticated three-dimensional (3D) environment, where the UAV's traje…
Deep Reinforcement Learning for Smart Grid Protection Against Coordinated Multistage Transmission Line Attacks
Liang Yu, Zhen Gao, Shuqi Qin +4
With the increase of connectivity in power grid, a cascading failure may be triggered by the failure of a transmission line, which can lead to substantial economic losses and serio…
High order low-bit Sigma-Delta quantization for fusion frames
Zhen Gao, Felix Krahmer, Alexander M. Powell
We construct high order low-bit Sigma-Delta quantizers for the vector-valued setting of fusion frames. We prove that these quantizers can be stably implemented to quant…