channel decoding 1foundation model 1neural receiver 1pre-training 1transformer 1zero-shot generalization 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.IT2026
CARNet: Channel-Adaptive Receiver Network for Robust NextG Communications
Chao Jiang, Zhuo Xu, Yongli Yan
Neural receivers have been recognized as a promising paradigm for the next-generation (NextG) communications. However, due to the reliance on a static network optimized for specifi…
cs.IT2026
FM-Receiver: A Foundation Model Enabled Unified Inner and Outer Neural Receiver Towards AI-Native Wireless Communications
Tianyue Zheng, Chao Jiang, Linglong Dai
The paper introduces FM-Receiver, a unified neural receiver that leverages a foundation model to jointly perform outer and inner decoding of wireless signals, enabling end‑to‑end A…
cs.IT2025
Unified Error Correction Code Transformer with Low Complexity
Yongli Yan, Jieao Zhu, Tianyue Zheng +3
Channel coding is vital for reliable sixth-generation (6G) data transmission, employing diverse error correction codes for various application scenarios. Traditional decoders requi…