TY - JOUR
T1 - A Tutorial on Radio System-Level Simulations With Emphasis on 3GPP 5G-Advanced and Beyond
AU - Pedersen, Klaus Ingemann
AU - Maldonado, Roberto
AU - Pocovi, Guillermo
AU - Martinez, Enric Juan
AU - Lauridsen, Mads
AU - Kovács, Istvan
AU - Brix, Mads
PY - 2024
Y1 - 2024
N2 - In this tutorial we present recipes for dynamic system-level 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.
AB - In this tutorial we present recipes for dynamic system-level 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.
KW - 3GPP
KW - 3GPP NR
KW - 5G mobile communication
KW - 5G-Advanced 6G
KW - 6G mobile communication
KW - Atmospheric modeling
KW - Computational modeling
KW - Load modeling
KW - Simulation methodologies
KW - Tutorials
KW - best practices
KW - simulation models
KW - software development
UR - http://www.scopus.com/inward/record.url?scp=85189175366&partnerID=8YFLogxK
U2 - 10.1109/COMST.2024.3381669
DO - 10.1109/COMST.2024.3381669
M3 - Journal article
SN - 2373-745X
VL - 26
SP - 2290
EP - 2325
JO - IEEE Communications Surveys & Tutorials
JF - IEEE Communications Surveys & Tutorials
IS - 4
M1 - 10.1109/COMST.2024.3381669
ER -