528 citations · 3.1k across the 49 of their papers we have counts for
49 papers
Sensing User's Activity, Channel, and Location with Near-Field Extra-Large-Scale MIMO
Li Qiao, Anwen Liao, Zhuoran Li +7
This paper proposes a grant-free massive access scheme based on the millimeter wave (mmWave) extra-large-scale multiple-input multiple-output (XL-MIMO) to support massive Internet-…
Sensing User's Channel and Location with Terahertz Extra-Large Reconfigurable Intelligent Surface under Hybrid-Field Beam Squint Effect
Zhuoran Li, Zhen Gao, Tuan Li
This paper investigates the sensing of user's uplink channel and location in terahertz extra-large reconfigurable intelligent surface (XL-RIS) systems, where the unique hybrid far-…
Quasi-Synchronous Random Access for Massive MIMO-Based LEO Satellite Constellations
Keke Ying, Zhen Gao, Sheng Chen +5
Low earth orbit (LEO) satellite constellation-enabled communication networks are expected to be an important part of many Internet of Things (IoT) deployments due to their unique a…
Reconfigurable Massive MIMO: Harnessing the Power of the Electromagnetic Domain for Enhanced Information Transfer
Keke Ying, Zhen Gao, Sheng Chen +4
The capacity of commercial massive multiple-input multiple-output (mMIMO) systems is constrained by the limited array aperture at the base station, and cannot meet the ever-increas…
Joint Activity Detection and Channel Estimation for Massive IoT Access Based on Millimeter-Wave/Terahertz Multi-Panel Massive MIMO
Hanlin Xiu, Zhen Gao, Anwen Liao +5
The multi-panel array, as a state-of-the-art antenna-in-package technology, is very suitable for millimeter-wave (mmWave)/terahertz (THz) systems, due to its low-cost deployment an…
Deep Learning-Based Rate-Splitting Multiple Access for Reconfigurable Intelligent Surface-Aided Tera-Hertz Massive MIMO
Minghui Wu, Zhen Gao, Yang Huang +3
Reconfigurable intelligent surface (RIS) can significantly enhance the service coverage of Tera-Hertz massive multiple-input multiple-output (MIMO) communication systems. However,…
Massive Access in Extra Large-Scale MIMO with Mixed-ADC over Near Field Channels
Yikun Mei, Zhen Gao, De Mi +5
Massive connectivity for extra large-scale multi-input multi-output (XL-MIMO) systems is a challenging issue due to the near-field access channels and the prohibitive cost. In this…
Integrated Sensing and Communication with mmWave Massive MIMO: A Compressed Sampling Perspective
Zhen Gao, Ziwei Wan, Dezhi Zheng +4
Integrated sensing and communication (ISAC) has opened up numerous game-changing opportunities for realizing future wireless systems. In this paper, we propose an ISAC processing f…
CS-Based CSIT Estimation for Downlink Pilot Decontamination in Multi-Cell FDD Massive MIMO
Yikun Mei, Zhen Gao
Efficient channel state information at transmitter (CSIT) for frequency division duplex (FDD) massive MIMO can facilitate its backward compatibility with existing FDD cellular netw…
Angle Estimation for Terahertz Ultra-Massive MIMO-Based Space-to-Air Communications
Anwen Liao, Zhen Gao, Yang Yang +3
This paper investigates terahertz ultra-massive (UM)-MIMO-based angle estimation for space-to-air communications, which can solve the performance degradation problem caused by the…
An Edge Computing Paradigm for Massive IoT Connectivity over High-Altitude Platform Networks
Malong Ke, Zhen Gao, Yang Huang +4
With the advent of the Internet-of-Things (IoT) era, the ever-increasing number of devices and emerging applications have triggered the need for ubiquitous connectivity and more ef…
LEO Satellite Constellations for 5G and Beyond: How Will They Reshape Vertical Domains?
Shicong Liu, Zhen Gao, Yongpeng Wu +5
The rapid development of communication technologies in the past decades has provided immense vertical opportunities for individuals and enterprises. However, conventional terrestri…
Model-Driven Deep Learning Based Channel Estimation and Feedback for Millimeter-Wave Massive Hybrid MIMO Systems
Xisuo Ma, Zhen Gao, Feifei Gao +1
This paper proposes a model-driven deep learning (MDDL)-based channel estimation and feedback scheme for wideband millimeter-wave (mmWave) massive hybrid multiple-input multiple-ou…
Massive Access in Media Modulation Based Massive Machine-Type Communications
Li Qiao, Jun Zhang, Zhen Gao +3
The massive machine-type communications (mMTC) paradigm based on media modulation in conjunction with massive MIMO base stations (BSs) is emerging as a viable solution to support t…
Terahertz Ultra-Massive MIMO-Based Aeronautical Communications in Space-Air-Ground Integrated Networks
Anwen Liao, Zhen Gao, Dongming Wang +4
The emerging space-air-ground integrated network has attracted intensive research and necessitates reliable and efficient aeronautical communications. This paper investigates terah…
Compressive Sensing Based Joint Activity and Data Detection for Grant-Free Massive IoT Access
Yikun Mei, Zhen Gao, Yongpeng Wu +4
Massive machine-type communications (mMTC) are poised to provide ubiquitous connectivity for billions of Internet-of-Things (IoT) devices. However, the required low-latency massive…
Terahertz Massive MIMO with Holographic Reconfigurable Intelligent Surfaces
Ziwei Wan, Zhen Gao, Feifei Gao +2
We propose a holographic version of a reconfigurable intelligent surface (RIS) and investigate its application to terahertz (THz) massive multiple-input multiple-output systems. Ca…
Massive Access in Cell-Free Massive MIMO-Based Internet of Things: Cloud Computing and Edge Computing Paradigms
Malong Ke, Zhen Gao, Yongpeng Wu +2
This paper studies massive access in cell-free massive multi-input multi-output (MIMO) based Internet of Things and solves the challenging active user detection (AUD) and channel e…
Deep Denoising Neural Network Assisted Compressive Channel Estimation for mmWave Intelligent Reflecting Surfaces
Shicong Liu, Zhen Gao, Jun Zhang +2
Integrating large intelligent reflecting surfaces (IRS) into millimeter-wave (mmWave) massive multi-input-multi-ouput (MIMO) has been a promising approach for improved coverage and…
Data-Driven Deep Learning to Design Pilot and Channel Estimator For Massive MIMO
Xisuo Ma, Zhen Gao
In this paper, we propose a data-driven deep learning (DL) approach to jointly design the pilot signals and channel estimator for wideband massive multiple-input multiple-output (M…
Compressive Sensing Based Massive Access for IoT Relying on Media Modulation Aided Machine Type Communications
Li Qiao, Jun Zhang, Zhen Gao +2
A fundamental challenge of the large-scale Internet-of-Things lies in how to support massive machine-type communications (mMTC). This letter proposes a media modulation based mMTC…
Compressive Massive Access for Internet of Things: Cloud Computing or Fog Computing?
Malong Ke, Zhen Gao, Yongpeng Wu
This paper considers the support of grant-free massive access and solves the challenge of active user detection and channel estimation in the case of a massive number of users. By…
Broadband Channel Estimation for Intelligent Reflecting Surface Aided mmWave Massive MIMO Systems
Ziwei Wan, Zhen Gao, Mohamed-Slim Alouini
This paper investigates the broadband channel estimation (CE) for intelligent reflecting surface (IRS)-aided millimeter-wave (mmWave) massive MIMO systems. The CE for such systems…
GMD-Based Hybrid Beamforming for Large Reconfigurable Intelligent Surface Assisted Millimeter-Wave Massive MIMO
Keke Ying, Zhen Gao, Shanxiang Lyu +3
Reconfigurable intelligent surface (RIS) is considered to be an energy-efficient approach to reshape the wireless environment for improved throughput. Its passive feature greatly r…