New Radio Physical Layer Abstraction for System-Level Simulations of 5G Networks
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Abstract (arXiv)
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.
Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). First posted on arXiv 28 Jan 2020.
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Citing papers per year: 2022: 3; 2023: 0; 2024: 0; 2025: 1; 2026: 3.
7 papers.
- 2022A Synthetic Dataset for 5G UAV Attacks Based on Observable Network Parameterscited by 2
- 2022Bit-Metric Decoding Rate in Multi-User MIMO Systems: Theorycited by 1
- 2026LOLLA: Deep Reinforcement Learning for Closed-Loop Link Adaptation Towards a GPU-Accelerated AI-RANcited by 1
- 2022Bit-Metric Decoding Rate in Multi-User MIMO Systems: Applicationscited by 0
- 2025Robust Nonlinear Transform Coding: A Framework for Generalizable Joint Source-Channel Codingcited by 0
- 2026NS3Learn: Transferring 5G NR Mode-2 Reception Realism from ns-3 to the Veins/SUMO Stack for Connected-Vehicle Safety Assessmentcited by 0
- 2026Network-in-the-Loop at Scale: GPU-Batched 5G Simulation for Massively Parallel Robot Learningcited by 0
- 2026Network-in-the-Loop at Scale: GPU-Batched 5G Simulation for Massively Parallel Robot Learning1 Oct 2026
- 2026NS3Learn: Transferring 5G NR Mode-2 Reception Realism from ns-3 to the Veins/SUMO Stack for Connected-Vehicle Safety Assessment17 Sep 2026
- 2026LOLLA: Deep Reinforcement Learning for Closed-Loop Link Adaptation Towards a GPU-Accelerated AI-RAN22 Jun 2026
- 2025Robust Nonlinear Transform Coding: A Framework for Generalizable Joint Source-Channel Coding24 Nov 2025
- 2022A Synthetic Dataset for 5G UAV Attacks Based on Observable Network Parameters5 Nov 2022
- 2022Bit-Metric Decoding Rate in Multi-User MIMO Systems: Applications11 Mar 2022
- 2022Bit-Metric Decoding Rate in Multi-User MIMO Systems: Theory11 Mar 2022