22 citations · 25 across the 18 of their papers we have counts for
18 papers
RIS-Enabled Energy-Efficient ISAC for Vehicular Applications
Shengyu Yang, Yuhan Wang, Shuhao Zeng +3
By incorporating integrated sensing and communication (ISAC) into vehicle-to-infrastructure (V2I) networks, roadside units (RSUs) can support data transmission while providing addi…
Diffusion Models for Radio Map Estimation: Theoretical Performance Analysis and Sampling Rate Guideline
Zhiyuan Liu, Qingyu Liu, Shuhang Zhang +2
Radio maps, which characterize the spatial distribution of radio frequency metrics, such as the received signal strength, are essential for a wide range of wireless applications. T…
Holographic Beamforming for Semantic Communication
Shuhao Zeng, Haobo Zhang, Su Wang +5
Holographic beamforming enabled by metamaterial antennas has been proposed to facilitate spatial multiplexing at low hardware cost and low power consumption. However, existing holo…
Hybrid Digital and Analog Airy Beamforming for Near-Field Multi-User Communications
Shupei Zhang, Boya Di, Lingyang Song
The demands for high data rates in 6G networks have driven the transition toward higher frequencies and larger antenna apertures, giving rise to the near-field communications. In t…
Holographic Airy Beamforming: Curved Trajectory Optimization for Blockage-Resilient Terahertz Communications
Xinyuan Hu, Boya Di, Lingyang Song
Terahertz communication offers vast bandwidth for high-speed transmission in the 6G networks but faces severe blockage challenges in the near-field region due to large antenna arra…
Holographic Surface Enabled Integrated Sensing and Communications
Haobo Zhang, Shuhao Zeng, Xinyuan Hu +12
Integrated sensing and communications (ISAC) is an essential 6G capability for joint data transmission and environmental sensing. To support 6G scenarios with stringent ISAC perfor…
Breaking Near-Field Communication Barriers: Focused, Curved, or Airy Beamforming?
Shupei Zhang, Boya Di, Lingyang Song
To meet the requirements for high data rates and ubiquitous connectivity in 6G networks, higher frequencies and larger array apertures are employed to enhance spatial resolution an…
Tri-Hybrid Holographic Beamforming for Integrated Sensing and Communication
Shupei Zhang, Shuhao Zeng, Boya Di +1
Integrated sensing and communication (ISAC) can perform both communication and sensing tasks using the same frequency band and hardware, making it a key technology for 6G. As a low…
RIS-Aided Wireless Amodal Sensing for Single-View 3D Reconstruction
Yuhan Wang, Haobo Zhang, Qingyu Liu +2
Amodal sensing is critical for various real-world sensing applications because it can recover the complete shapes of partially occluded objects in complex environments. Among vario…
RadioPiT: Radio Map Generation with Pixel Transformer Driven by Ultra-Sparse Real-World Data
Zeyao Sun, Bohao Fan, Qingyu Liu +2
As wireless communication networks rapidly evolve, spectrum resources are increasingly scarce, making effective spectrum management critically important. Radio map is a spatial rep…
Holographic Beamforming for Integrated Sensing and Communication with Mutual Coupling Effects
Shuhao Zeng, Haobo Zhang, Boya Di +5
Integrated sensing and communication (ISAC) is envisioned as a key technology in 6G networks, owing to its potential for high spectral and cost efficiency. As a promising solution…
A Fine-Grained 3D Radio Map Construction Paradigm with Ultra-Low Sampling Rates by Large Generative Models
Zhiyuan Liu, Qingyu Liu, Shuhang Zhang +2
A radio map captures the spatial distribution of wireless channel parameters, such as the strength of the signal received, across a geographic area. The problem of fine-grained thr…
RadioFormer: A Multiple-Granularity Radio Map Estimation Transformer with 1\textpertenthousand Spatial Sampling
Zheng Fang, Kangjun Liu, Ke Chen +4
The task of radio map estimation aims to generate a dense representation of electromagnetic spectrum quantities, such as the received signal strength at each grid point within a ge…
End-Edge Model Collaboration: Bandwidth Allocation for Data Upload and Model Transmission
Dailin Yang, Shuhang Zhang, Hongliang Zhang +1
The widespread adoption of large artificial intelligence (AI) models has enabled numerous applications of the Internet of Things (IoT). However, large AI models require substantial…
WiFi-Diffusion: Achieving Fine-Grained WiFi Radio Map Estimation With Ultra-Low Sampling Rate by Diffusion Models
Zhiyuan Liu, Shuhang Zhang, Qingyu Liu +2
Fine-grained radio map presents communication parameters of interest, e.g., received signal strength, at every point across a large geographical region. It can be leveraged to impr…
Reconfigurable Holographic Surface: A New Paradigm for Ultra-Massive MIMO
Boya Di, Hongliang Zhang, Rui Zhang +2
Evolving from massive multiple-input multiple-output (MIMO) in current 5G communications, ultra-massive MIMO emerges as a seminal technology for fulfilling more stringent requireme…
Reconfigurable Holographic Surface Aided Wireless Simultaneous Localization and Mapping
Haobo Zhang, Ziang Yang, Hongliang Zhang +2
As a crucial facilitator of future autonomous driving applications, wireless simultaneous localization and mapping (SLAM) has drawn growing attention recently. However, the accurac…
Intelligent Surfaces Empowered Wireless Network: Recent Advances and The Road to 6G
Qingqing Wu, Beixiong Zheng, Changsheng You +11
Intelligent surfaces (ISs) have emerged as a key technology to empower a wide range of appealing applications for wireless networks, due to their low cost, high energy efficiency,…