论文标题
用于5G网络系统级模拟的新无线电物理层抽象
New Radio Physical Layer Abstraction for System-Level Simulations of 5G Networks
论文作者
论文摘要
物理层（PHY）抽象模型估计系统级模拟器中的PHY性能，以加快模拟。本文提出了5G新无线电（NR）的PHY抽象模型，并将其集成到基于开源的NS-3基于NS-3的NR系统级模拟器中。该模型利用指数有效的信号与互级 - 噪声比率（SINR）映射（EESM），并考虑了最新的NR规范。为了生成它，我们使用了符合NR的链接级模拟器来校准EESM方法，并获得用于各种NR配置的Sinr-Block错误率（BLER）查找表。我们还通过NS-3中的端到端仿真来说明开发模型的可用性，在调制和编码方案的不同NR设置下，混合自动重复请求结合方法以及链接适应方法。
A physical layer (PHY) abstraction model estimates the PHY performance in system-level simulators to speed up the simulations. This paper presents a PHY abstraction model for 5G New Radio (NR) and its integration into an open-source ns-3 based NR system-level simulator. The model capitalizes on the exponential effective signal-to-interference-plus-noise ratio (SINR) mapping (EESM) and considers the latest NR specification. To generate it, we used an NR-compliant link-level simulator to calibrate the EESM method as well as to obtain SINR-block error rate (BLER) lookup tables for various NR configurations. We also illustrate the usability of the developed model through end-to-end simulations in ns-3, under different NR settings of modulation and coding schemes, hybrid automatic repeat request combining methods, and link adaptation approaches.
