天地一体化信息网络2025，Vol.6Issue(3)：59-73,15.DOI:10.11959/j.issn.1000-0801.2025029
大型语言模型赋能的无线智能感知技术、应用与趋势综述
Review of Wireless Intelligent Sensing Technology,Applications and Trends Enabled by Large Language Models
摘要
Abstract
Large language models(LLM)are catalyzing a profound paradigm shift in wireless intelligent sensing:elevating the field from signal processing to high-level semantic understanding.This review offers a systematic analysis framework for this emerging field,Its core contribution is to structure the field's technical evolution along two principal axes:achieving generalized semantic recog-nition of signals via cross-modal alignment,and resolving edge deployment challenges of models through parameter-efficient fine-tuning(PEFT).Within this framework,this paper examines key applications in scenarios such as smart healthcare and homes,analyzes core challenges like data scarcity and cross-domain generalization,and outlines future trends toward multi-modal fusion and proactive intelligent environments,aiming to provide valuable insights and a roadmap for related research.关键词
无线智能感知/大型语言模型/无线信号处理/语义理解Key words
wireless intelligent sensing/large language models/wireless signal processing/semantic understanding分类
信息技术与安全科学引用本文复制引用
颜雨,刘江湖,李晓帆..大型语言模型赋能的无线智能感知技术、应用与趋势综述[J].天地一体化信息网络,2025,6(3):59-73,15.基金项目
国家自然科学基金资助项目(No.62271232) The National Natural Science Foundation of China(No.62271232) （No.62271232）
