面向6G无线环境可预测的感知重构、语义表征及应用  

Sensing Reconstruction,Semantic Representation and Application Towards 6G Predictive W ireless Environment

作　　者：张建华[1] 田艺璇 孙语瞳 于力[1] ZHANG Jianhua;TIAN Yixuan;SUN Yutong;YU Li(Beijing University of Posts and Telecommunications,State Key Lab of Networking and Switching Technology,Beijing 100876,China)

机构地区：[1]北京邮电大学网络与交换技术国家重点实验室,中国北京100876

出　　处：《中兴通讯技术》2023年第5期38-44,共7页ZTE Technology Journal

基　　金：国家自然科学基金项目(92167202、61925102、62201086、62101069、62201087)。

摘　　要：面对6G通信多样复杂的应用场景,精确低复杂的环境信息和信道模型是实现6G智简传输和组网的基础。面向6G无线环境可预测,对无线环境的感知重构、语义表征与应用展开研究,分析了现有的环境感知技术与重构算法,并对无线环境可预测的语义表征方法进行总结。围绕目前存在的信道建模与预测难题,介绍了信道在线预测的6G网络设计与感知重构平台。相关实验验证了该平台的可行性和准确性。认为未来无线环境可预测的关键是提高无线环境感知精度,提升无线环境语义的可解释性,建立一个面向6G信道的通用性系统模型。In view of the diverse and complex application scenarios of 6G communications,accurate and low-complexity environment infor⁃mation,and channel models are the basis for achieving the 6G wisdom-evolutionary and primitive-concise network.The sensing recon⁃struction,semantic representation,and application of wireless environments toward 6G predictive wireless environment are investigated.The existing environment sensing techniques and reconstruction algorithms are analyzed,and the semantic representation methods are sum⁃marized for a predictive wireless environment.Focusing on the existing channel modeling and prediction challenges,we introduce the 6G network design method for channel online prediction and the predictive radio environment for digital twin communication platform.The key to future predictive wireless environment is to improve the accuracy of wireless environment sensing,enhance the interpretability of wire⁃less environment semantics,and establish a universal system model for 6G channels.

关 键 词：无线环境 环境感知 环境重构 语义表征 可预测信道 

分 类 号：TN929.5[电子电信—通信与信息系统]