6G物理层原生AI技术

6G AI-Zation in Physical Layer

针对6G系统的空口AI化演进,需要对研究的路线、所受的限制条件、基础问题、技术趋势,以及期待的突破与改变做出客观和明确的判断,以便在不同层面和维度上获得理论与工程上的增益与突破,具体包括:引入AI的6G一体化、系统化构建,形成基于AI的新传输方案与新空口设计,考虑面向AI的生命周期管理与解决方案。在物理层原生AI技术方面,具体分析了零开销叠加导频设计、信道与无线环境语义通信,以及两项重点6G AI潜在技术方向。本研究可对未来6G系统AI化的技术推进和标准化提供有益参考。

To achieve theoretical and engineering gains and breakthroughs across different levels and dimensions in 6G AI-zation,a clear un⁃derstanding on the research route,constraints,fundamental problems,technological trends,and expected breakthroughs and new changes is required.Specific aspects include the integration and systematic construction of AI in 6G,the forming of new AI-based transmission schemes and air interface designs,and AI lifecycle management solutions.Around physical layer native AI technologies,detailed analysis in⁃cludes:zero-overhead superimposed pilot design,semantic communication for channels and wireless environment,and two key potential technology directions for 6G AI-zation.This research can provide valuable reference for future technical advancement and standardization of AI in 6G systems.