collaborators

12 papers

eess.SP2026

Learning or Modeling? Virtual XL-RIS Observation Reconstruction for Near-Field Sensing

Tuo Wu, Jie Tang, Jiacheng Wang +5

A passive extremely large-scale reconfigurable intelligent surface (XL-RIS) offers a position-sensitive aperture for near-field sensing, but its element-wise signals are not direct…

eess.SP2026

Electromagnetic Twin: From Sparse Measurements to Persistent Wireless Intelligence

Tuo Wu, Lifeng Mai, Jie Tang +7

Radio maps and channel knowledge maps provide reusable propagation knowledge, but a stored map can become locally outdated after persistent changes to doors, partitions, furniture,…

eess.SP2026

Sparse Fluid Antenna Arrays: Continuous Position Design Beyond Classical DOF Limits

Tuo Wu, Jie Tang, Ye Tian +3

Fluid antenna system (FAS), which continuously repositions a single physical element across a deployment region , breaks this limit by freeing antenna positions from the di…

eess.SP2026

Hybrid Architecture Gets Fluid: A New Paradigm for Direction-of-arrival Estimation in 6G Networks

Ye Tian, Jiaji Ren, Tuo Wu +5

High-precision direction-of-arrival (DOA) estimation, as a key sensing capability for 6G-enabled applications such as autonomous driving and extended reality, is increasingly depen…

eess.SP2026

Fundamental Analysis of Scalable Fluid Antenna Systems: Identifiability Limits, Information Theory, and Joint Processing

Tuo Wu, Kai-Kit Wong, Jie Tang +8

Unlike fixed-position arrays with static observation entropy, the scalable fluid antenna system (S-FAS) can dynamically adjust its aperture to form different observation spaces wit…

eess.SP2026

Beyond : Can Arbitrary EMVS Arrays Achieve Unambiguous NLOS Localization?

Hua Chen, Zhenhao Yu, Tuo Wu +5

Conventional radar array design mandates interelement spacing not exceeding half a wavelength () to avoid spatial ambiguity, fundamentally limiting array aperture and angular…

eess.SP2025

Reimagining Wireless Connectivity: The FAS-RIS Synergy for 6G Smart Cities

Tuo Wu, Kai-Kit Wong, Jie Tang +6

Fluid antenna system (FAS) represents the concept of treating antenna as a reconfigurable physical-layer resource to broaden system design and network optimization and inspire next…

eess.SP2025

FAS-RIS for V2X: Unlocking Realistic Performance Analysis with Finite Elements

Tuo Wu, Xiazhi Lai, Maged Elkashlan +3

The synergy of fluid antenna systems (FAS) and reconfigurable intelligent surfaces (RIS) is poised to unlock robust Vehicle-to-Everything (V2X) communications. However, a critical…

eess.SP2025

The Future is Fluid: Revolutionizing DOA Estimation with Sparse Fluid Antennas

He Xu, Tuo Wu, Ye Tian +8

This paper investigates a design framework for sparse fluid antenna systems (FAS) enabling high-performance direction-of-arrival (DOA) estimation, particularly in challenging milli…

eess.SP2025

Scalable Fluid Antenna Systems: A New Paradigm for Array Signal Processing

Tuo Wu, Ye Tian, Jie Tang +8

Most existing antenna array-based source localization methods rely on fixed-position arrays (FPAs) and strict assumptions about source field conditions (near-field or far-field), w…

eess.SP2025

A Hybrid Dynamic Subarray Architecture for Efficient DOA Estimation in THz Ultra-Massive Hybrid MIMO Systems

Ye Tian, Jiaji Ren, Tuo Wu +7

Terahertz (THz) communication combined with ultra-massive multiple-input multiple-output (UM-MIMO) technology is promising for 6G wireless systems, where fast and precise direction…

eess.SP2025

Towards Intelligent Antenna Positioning: Leveraging DRL for FAS-Aided ISAC Systems

Shunxing Yang, Junteng Yao, Jie Tang +6

Fluid antenna systems (FAS) enable dynamic antenna positioning, offering new opportunities to enhance integrated sensing and communication (ISAC) performance. However, existing stu…