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A physical layer (PHY) abstraction model estimates the PHY performance insystem-level simulators to speed up the simulations. This paper presents a PHYabstraction model for 5G New Radio (NR) and its integration into an open-sourcens-3 based NR system-level simulator. The model capitalizes on the exponentialeffective signal-to-interference-plus-noise ratio (SINR) mapping (EESM) andconsiders the latest NR specification. To generate it, we used an NR-compliantlink-level simulator to calibrate the EESM method as well as to obtainSINR-block error rate (BLER) lookup tables for various NR configurations. Wealso illustrate the usability of the developed model through end-to-endsimulations in ns-3, under different NR settings of modulation and codingschemes, hybrid automatic repeat request combining methods, and link adaptationapproaches.

New Radio Physical Layer Abstraction for System-Level Simulations of 5G Networks