activity
20232026
most citedA Physical Layer Security Framework for IRS-Assisted Integrated Sensing and Semantic Communication Systems

7 citations · 12 across the 39 of their papers we have counts for

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Showing 2025 · cs.ITShow all

7 papers · 2 filters

cs.IT2025

Resi-VidTok: An Efficient and Decomposed Progressive Tokenization Framework for Ultra-Low-Rate and Lightweight Video Transmission

Zhenyu Liu, Yi Ma, Rahim Tafazolli +1

Real-time transmission of video over wireless networks remains highly challenging, even with advanced deep models, particularly under severe channel conditions such as limited band…

cs.IT2025

Deep Learning-Based Rate-Adaptive CSI Feedback for Wideband XL-MIMO Systems in the Near-Field Domain

Zhenyu Liu, Yi Ma, Rahim Tafazolli

Accurate and efficient channel state information (CSI) feedback is crucial for unlocking the substantial spectral efficiency gains of extremely large-scale MIMO (XL-MIMO) systems i…

cs.IT2025

LO-Aware Adaptive Modulation for Rydberg Atomic Receivers

Jiuyu Liu, Yi Ma, Rahim Tafazolli

Rydberg atomic (RA) receivers represent a revolutionary quantum technology for wireless communications, offering unprecedented sensitivity beyond conventional radio frequency (RF)…

cs.IT2025

Cluster-Aware Two-Stage Method for Fast Iterative MIMO Detection in LEO Satellite Communications

Jiuyu Liu, Yi Ma, Qihao Peng +1

In this paper, a cluster-aware two-stage multiple-input multiple-output (MIMO) detection method is proposed for direct-to-cell satellite communications. The method achieves computa…

cs.IT2025

SA-MIMO: Scalable Quantum-Based Wireless Communications

Jiuyu Liu, Yi Ma, Rahim Tafazolli

Rydberg atomic receivers offer a quantum-native alternative to conventional RF front-ends by directly detecting electromagnetic fields via highly excited atomic states. While their…

cs.IT2025

ResiTok: A Resilient Tokenization-Enabled Framework for Ultra-Low-Rate and Robust Image Transmission

Zhenyu Liu, Yi Ma, Rahim Tafazolli

Real-time transmission of visual data over wireless networks remains highly challenging, even when leveraging advanced deep neural networks, particularly under severe channel condi…

cs.IT2025

ELAA-ISAC: Environmental Mapping Utilizing the LoS State of Communication Channel

Jiuyu Liu, Chunmei Xu, Yi Ma +2

In this paper, a novel environmental mapping method is proposed to outline the indoor layout utilizing the line-of-sight (LoS) state information of extremely large aperture array (…