浅析基于AI的信道信息预测在6G中的应用

摘要：深入探讨了基于AI的信道信息预测在6G通信系统中的应用，并从信道信息预测的信道模型、信道信息预测方案、数据收集方法、模型监控技术、仿真验证结果，以及基于AI的信道信息预测所面临的机会与挑战这7个维度展开分析。在信道信息预测方案的分析中，广泛探索了多种信道信息预测策略；在数据收集部分，详细分析了不同参考信号传输类型及数据收集范围的影响；在模型监控方面，讨论了3种可能的监控方式。此外，通过仿真验证，充分展示了基于AI的信道信息预测技术的有效性和优越性。

关键词：多输入多输出；信道信息预测；人工智能；模型监控；模型训练

Abstract:: The application of AI-based channel information prediction in the 6G communication system is deeply discussed from the following seven dimensions: the channel model of channel information prediction, channel information prediction scheme, data collection method, model monitoring technology, validation results, and opportunities and challenges of AI-based channel information prediction. In the analysis of channel information prediction schemes, various channel information prediction strategies are widely explored; in the data collection section, the influence of different reference signal transmission types and data collection ranges are analyzed in detail; in the model monitoring, three possible monitoring methods are discussed. In addition, the effectiveness and superiority of AI-based channel information prediction technology.

Keywords: multi-input multi-output; channel information prediction; artificial intelligence; model monitoring; model training