activity
20242026
collaborators

18 papers

math-ph2026

Model-Consistent Structured-Hankel Matrix Completion for 3D Sparse Multi-frequency Electromagnetic Source Reconstruction

Shujaat Khan, Abdul Wahab

Reconstruction of 3D electromagnetic currents from sparse, multi-frequency, far-field radiation data is severely ill-posed because sparse sampling masks specific current Fourier mo…

eess.SP2026

Tensor Train Decomposition Based Noise Reduction and Enhanced Parameter Estimation for FMCW MIMO Radar Systems

Luoyan Zhu, Sergiy A. Vorobyov, Jie Wang +2

Frequency modulated continuous wave (FMCW) radar is widely used in autonomous driving and industrial inspection due to its high-resolution target location and velocity estimation c…

eess.SP2026

Delay-Doppler Domain Signal Processing Aided OFDM (DD-a-OFDM) for 6G and Beyond

Yiyan Ma, Bo Ai, Jinhong Yuan +10

High-mobility scenarios will be a critical part of 6G systems. Since the widely deployed orthogonal frequency division multiplexing (OFDM) waveform suffers from subcarrier orthogon…

cs.IT2026

Robust Transmission Design for RIS-Assisted High-Speed Train Communication Coverage Enhancement With Imperfect Cascaded Channels

Changzhu Liu, Ruisi He, Haoxiang Zhang +4

Reconfigurable intelligent surface (RIS) has recently been gained attention as an effective technique improving the coverage and performance of communication systems by creating ad…

eess.IV2026

Deep Learning-Based Site-Specific Channel Modeling and Inference

Junzhe Song, Ruisi He, Mi Yang +4

Site-specific channel inference plays a critical role in the design and evaluation of next-generation wireless communication systems by considering the surrounding propagation envi…

eess.SP2026

Artificial Intelligence Empowered Channel Prediction: A New Paradigm for Propagation Channel Modeling

Ruisi He, Mi Yang, Zhengyu Zhang +2

This paper proposes a novel paradigm centered on Artificial Intelligence (AI)-empowered propagation channel prediction to address the limitations of traditional channel modeling. W…