Investigation and comparison of 3GPP and NYUSIM channel models for 5G wireless communications

Theodore S. Rappaport, Shu Sun, Mansoor Shafi

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Channel models describe how wireless channel parameters behave in a given scenario, and help evaluate link-and systemlevel performance. A proper channel model should be able to faithfully reproduce the channel parameters obtained in field measurements and accurately predict the spatial and temporal channel impulse response along with large-scale fading. This paper compares two popular channel models for next generation wireless communications: the 3rd Generation Partnership Project (3GPP) TR 38.900 Release 14 channel model and the statistical spatial channel model NYUSIM developed by New York University (NYU). The two channel models employ different modeling approaches in many aspects, such as the line-of-sight probability, path loss, and clustering methodology. Simulations are performed using the two channel models to analyze the channel eigenvalue distribution and spectral efficiency leveraging the analog/digital hybrid beamforming methods found in the literature. Simulation results show that the 3GPP model produces different eigenvalue and spectral efficiency distributions for mmWave bands, as compared to the outcome from NYUSIM that is based on massive amounts of real-world measured data in New York City. This work shows NYUSIM is more accurate for realistic simulations than 3GPP in urban environments.

Original languageEnglish (US)
Title of host publication2017 IEEE 86th Vehicular Technology Conference, VTC Fall 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages5
ISBN (Electronic)9781509059355
StatePublished - Jul 2 2017
Event86th IEEE Vehicular Technology Conference, VTC Fall 2017 - Toronto, Canada
Duration: Sep 24 2017Sep 27 2017

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252


Other86th IEEE Vehicular Technology Conference, VTC Fall 2017

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics


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