浅析基于AI的信道信息预测在6G中的应用

发布时间:2024-06-24 作者:肖华华,鲁照华,胡留军 阅读量:

 

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

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