3 papers
eess.SP2026
Reading Radio from Camera: Visually-Grounded, Lightweight, and Interpretable RSSI Prediction
Sen Yan, Tianyu Hu, Brahim Mefgouda +2
Accurate, real-time wireless signal prediction is essential for next-generation networks. However, existing vision-based frameworks often rely on computationally intensive models a…
eess.SP2026
Diffusion Inpainting MIMO-OFDM Channels with Limited Noisy Observations
Weijie Zhou, Zhaoyang Zhang, Yuzhi Yang +3
Acquiring the channel state information from limited and noisy observations at pilot positions is critical for wireless multiple-input multiple-output (MIMO)-orthogonal frequency d…
eess.SP2025
Diffusion Models for Wireless Transceivers: From Pilot-Efficient Channel Estimation to AI-Native 6G Receivers
Yuzhi Yang, Sen Yan, Weijie Zhou +4
With the development of artificial intelligence (AI) techniques, implementing AI-based techniques to improve wireless transceivers becomes an emerging research topic. Within this c…