6 papers
Rydberg Atomic Quantum Receivers for Wireless Communications: Two-Color vs. Three-Color Excitation
Jian Xiao, Tierui Gong, Ji Wang +2
An efficient three-color (3C) laser excitation-based Rydberg atomic quantum receiver (RAQR) architecture is investigated for wireless communications, utilizing a five-level (5L) el…
Channel Estimation for Rydberg Atomic Quantum Receivers: Unrolled Phase Retrieval from Holographic Snapshots
Jian Xiao, Ji Wang, Ming Zeng +3
A model-driven deep learning framework is proposed for channel estimation in Rydberg atomic quantum receivers (RAQRs) based on the measurement of holographic snapshots. Specificall…
Channel Estimation for Flexible Intelligent Metasurfaces: From Model-Based Approaches to Neural Operators
Jian Xiao, Ji Wang, Qimei Cui +4
Flexible intelligent metasurfaces (FIMs) offer a new solution for wireless communications by introducing morphological degrees of freedom, dynamically morphing their three-dimensio…
Wireless AI Evolution: From Statistical Learners to Electromagnetic-Guided Foundation Models
Jian Xiao, Ji Wang, Kunrui Cao +3
While initial applications of artificial intelligence (AI) in wireless communications over the past decade have demonstrated considerable potential using specialized models for tar…
Two-Timescale Learning for Pilot-Free ISAC Systems
Jian Xiao, Ji Wang, Qimei Cui +4
A pilot-free integrated sensing and communication (ISAC) system is investigated, in which phase-modulated continuous wave (PMCW) and non-orthogonal multiple access (NOMA) waveforms…
When Vision-Language Model (VLM) Meets Beam Prediction: A Multimodal Contrastive Learning Framework
Ji Wang, Bin Tang, Jian Xiao +3
As the real propagation environment becomes in creasingly complex and dynamic, millimeter wave beam prediction faces huge challenges. However, the powerful cross modal representati…