collaborators

10 papers

cs.IT2026

Artificial-Noise-Aided Secure Near-Field MIMO With Fluid Antenna Systems

Peng Zhang, Jian Dang, Miaowen Wen +5

With the evolution of mobile communication systems toward large-scale arrays, high-frequency operation, and reconfigurable antenna architectures, fluid antenna systems (FAS) operat…

cs.IT2026

Fluid Reconfigurable Intelligent Surface Enabling Index Modulation

Peng Zhang, Jian Dang, Miaowen Wen +5

Fluid reconfigurable intelligent surfaces (FRIS) enable joint position and phase reconfigurability by integrating fluid antennas (FA) with conventional reconfigurable intelligent s…

cs.IT2025

Iterative Gaussian Approximation for Random Spreading Unsourced Random Access

Liandong Hu, Jian Dang, Zaichen Zhang

Massive machine-type communications (mMTC) demand robust solutions to support extensive connectivity efficiently. Unsourced random access (URA) has emerged as a promising approach,…

cs.IT2025

Joint Activity Detection and Channel Estimation For Fluid Antenna System Exploiting Geographical and Angular Information

Zhentian Zhang, Jian Dang, David Morales-Jimenez +4

The fluid antenna system (FAS) refers to a family of reconfigurable antenna technologies that provide substantial spatial gains within a compact, predefined small space, thereby of…

cs.IT2025

Probabilistic ODMA Receiver with Low-Complexity Algorithm for MIMO Unsourced Random Access

Zhentian Zhang, Jian Dang, Zaichen Zhang

In this work, we present the design for both pilot-uncoupled and pilot-free on-off multiple access (ODMA) receivers in unsourced random access (URA) for multiple-input multiple-out…

cs.IT2025

Sparse Code Transceiver Design for Unsourced Random Access with Analytical Power Division in Gaussian MAC

Zhentian Zhang, Mohammad Javad Ahmadi, Jian Dang +3

In this work, we discuss the problem of unsourced random access (URA) over a Gaussian multiple access channel (GMAC). To address the challenges posed by emerging massive machine-ty…