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
With the development of artificial intelligence (AI) techniques, neural receivers, which apply AI to improve wireless receivers have been developed. However, most existing neural r…
cs.IT2024
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…