6g communications 1generative ai receiver 1lightweight coding 1power allocation 1semantic communication 1uplink transmission 1
From the 1 of 3 linked papers with an AI index.
3 papers
eess.SP2026
LiTCom: A Lightweight Transmitter and Inference-Capable Receiver Framework for 6G Uplink
Chunmei Xu, Siqi Zhang, Zhi Ding +2
LiTCom is a framework that uses a very simple transmitter with low‑pass filtering and minimal channel coding, while relying on large generative AI models at the receiver to reconst…
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…
eess.SP2025
Leveraging Bi-Directional Channel Reciprocity for Robust Ultra-Low-Rate Implicit CSI Feedback with Deep Learning
Zhenyu Liu, Yi Ma, Rahim Tafazolli +1
Deep learning-based implicit channel state information (CSI) feedback has been introduced to enhance spectral efficiency in massive MIMO systems. Existing methods often show perfor…