Ns-3 Implementation of Sub-Terahertz and Millimeter Wave Drop-based NYU Channel Model (NYUSIM)

Hitesh Poddar, Tomoki Yoshimura, Matteo Pagin, Theodore Rappaport, Art Ishii, Michele Zorzi

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


The next generation of wireless networks will use sub-THz frequencies alongside mmWave frequencies to enable multi-Gbps and low latency applications. To enable different verticals and use cases, engineers must take a holistic approach to build, analyze, and study different parts of the network and the interplay among the lower and higher layers of the protocol stack. It is of paramount importance to accurately characterize the radio propagation in diverse scenarios such as urban microcell (UMi), urban macrocell (UMa), rural macrocell (RMa), indoor hotspot (InH), and indoor factory (InF) for a wide range of frequencies. The 3GPP statistical channel model (SCM) is oversimplified and restricted to the frequency range of 0.5-100 GHz. Thus, to overcome these limitations, this paper presents a detailed implementation of the drop-based NYU channel model (NYUSIM) for the frequency range of 0.5-150 GHz for the UMi, UMa, RMa, InH, and InF scenarios. NYUSIM allows researchers to design and evaluate new algorithms and protocols for future sub-THz wireless networks in ns-3.

Original languageEnglish (US)
Title of host publicationProceedings of the 2023 Workshop on ns-3, WNS3 2023
PublisherAssociation for Computing Machinery
Number of pages9
ISBN (Electronic)9798400707476
StatePublished - Jun 28 2023
Event15th Workshop on Network Simulator, WNS3 2023 - Arlington, United States
Duration: Jun 28 2023Jun 29 2023

Publication series

NameACM International Conference Proceeding Series


Conference15th Workshop on Network Simulator, WNS3 2023
Country/TerritoryUnited States


  • 3GPP
  • 5G
  • 6G
  • B5G
  • channel model
  • sub-THz
  • system simulation

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software


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