面向6G无线环境可预测的感知重构、语义表征及应用

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。

关键词：无线环境；环境感知；环境重构；语义表征；可预测信道

Abstract: In view of the diverse and complex application scenarios of 6G communications, accurate and low-complexity environment information, and channel models are the basis for achieving the 6G wisdom-evolutionary and primitive-concise network. The sensing reconstruction, 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 summarized 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 wireless environment semantics, and establish a universal system model for 6G channels.

Keywords: wireless environments; environment sensing; environment reconstruction; semantic representation; predictive channel