channel decoding 1foundation model 1neural receiver 1pre-training 1transformer 1zero-shot generalization 1
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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.IT2026
MUSE-FM: Multi-task Environment-aware Foundation Model for Wireless Communications
Tianyue Zheng, Jiajia Guo, Linglong Dai +2
Recent advancements in foundation models (FMs) have attracted increasing attention in the wireless communication domain. Leveraging the powerful multi-task learning capability, FMs…
cs.IT2025
Large Language Model Enabled Multi-Task Physical Layer Network
Tianyue Zheng, Linglong Dai
The advance of Artificial Intelligence (AI) is continuously reshaping the future 6G wireless communications. Particularly, the development of Large Language Models (LLMs) offers a…