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

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...

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Bibliographic Details
Published inICC 2020 - 2020 IEEE International Conference on Communications (ICC) pp. 1 - 7
Main Authors Lagen, Sandra, Wanuga, Kevin, Elkotby, Hussain, Goyal, Sanjay, Patriciello, Natale, Giupponi, Lorenza
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2020
Subjects
3GPP NR
5G mobile communication
5G network simulations
Adaptation models
EESM method
error models
Indexes
Interference
OFDM
Parity check codes
PHY abstraction
Signal to noise ratio
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Summary: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.
ISSN:1938-1883
DOI:10.1109/ICC40277.2020.9149444