In this tutorial we present recipes for dynamic systemlevel simulations (SLSs) of 5G and beyond cellular radio systems. A key ingredient for such SLSs is selection of proper models to make sure that the performance determining effects are properly reflected to ensure output of realistic radio performance results. We therefore present a significant number of SLS models and related methodologies for a variety of use cases. Our focus is on generally accepted models that are largely supported by academia and industrial players and adopted by 3GPP as being realistic. Among others, we touch on deployment models, traffic models, non-terrestrial cellular networks with satellites, SLS methodologies for Machine Learning (ML) enabled air-interface solutions, and many more. We also present several recommendations for best practices related to preparing and running detailed SLS campaigns, and agile software engineering considerations. Throughout the article we use the 3GPP defined 5G and 5G-Advanced systems to illustrate our points, extending it also into the 6G-era that is predicted to build on alike SLS methodologies and best practices.

中文翻译：

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无线电系统级仿真教程，重点关注 3GPP 5G-Advanced 及以上


在本教程中，我们介绍 5G 及其他蜂窝无线电系统的动态系统级仿真 (SLS) 的方法。此类 SLS 的一个关键因素是选择适当的模型，以确保正确反映性能决定效应，从而确保输出真实的无线电性能结果。因此，我们针对各种用例提供​​了大量的 SLS 模型和相关方法。我们的重点是广泛接受的模型，这些模型在很大程度上得到学术界和工业界参与者的支持，并被 3GPP 视为现实而采用。其中，我们涉及部署模型、流量模型、卫星非地面蜂窝网络、支持机器学习 (ML) 的空中接口解决方案的 SLS 方法等等。我们还提出了一些与准备和运行详细的 SLS 活动相关的最佳实践建议，以及敏捷软件工程注意事项。在整篇文章中，我们使用 3GPP 定义的 5G 和 5G-Advanced 系统来说明我们的观点，并将其扩展到预计将建立在类似的 SLS 方法和最佳实践基础上的 6G 时代。