4 papers
TCLNet: A Hybrid Transformer-CNN Framework Leveraging Language Models as Lossless Compressors for CSI Feedback
Zijiu Yang, Qianqian Yang, Shunpu Tang +2
In frequency division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems, downlink channel state information (CSI) plays a crucial role in achieving high spectru…
Filter-and-Attend: Wireless Channel Foundation Model with Noise-Plus-Interference Suppression Structure
Yuwei Wang, Li Sun, Tingting Yang +3
Wireless channel foundation model (WCFM) is a task-agnostic AI model that is pre-trained to learn a universal channel representation for a wide range of communications and sensing…
Communication-Efficient Collaborative LLM Inference via Distributed Speculative Decoding
Ce Zheng, Tingting Yang
Speculative decoding is an emerging technique that accelerates large language model (LLM) inference by allowing a smaller draft model to predict multiple tokens in advance, which a…
CE-LSLM: Efficient Large-Small Language Model Inference and Communication via Cloud-Edge Collaboration
Pengyan Zhu, Tingting Yang
Emerging intelligent service scenarios in 6G communication impose stringent requirements for low latency, high reliability, and privacy preservation. Generative large language mode…