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Modules
mmWave Cellular Network Simulator
A millimeter wave module that can be used to evaluate cross-layer and end-to-end performance of 5G mmWave networks.
mmWave Cellular Network Simulator
A millimeter wave module that can be used to evaluate cross-layer and end-to-end performance of 5G mmWave networks.
(18)
5G-LENA
ns-3 module to simulate 5G NR networks
5G-LENA
ns-3 module to simulate 5G NR networks
(8)
if77 model for ns-3
Wrapper around the if77 propagation model.
if77 model for ns-3
Wrapper around the if77 propagation model.
(0)
Wi-Fi Link-to-System Error Models
Additional Wi-Fi error models for multipath fading channels
Wi-Fi Link-to-System Error Models
Additional Wi-Fi error models for multipath fading channels
(0)
WiGig
Models of the IEEE 802.11ad/ay standard
WiGig
Models of the IEEE 802.11ad/ay standard
(0)
5G NR ProSe
Models to support 5G NR SL Proximity-based Services
5G NR ProSe
Models to support 5G NR SL Proximity-based Services
(0)
TeraSim
TeraSim is the first module for the simulation of Terahertz(THz)-band communication networks which captures the capabilities of THz devices and the peculiarities of the THz channel.
TeraSim
TeraSim is the first module for the simulation of Terahertz(THz)-band communication networks which captures the capabilities of THz devices and the peculiarities of the THz channel.
(4)
EMPIRE Shim
Shim to enable use of the EMPIRE propagation suite in ns-3 simulations.
EMPIRE Shim
Shim to enable use of the EMPIRE propagation suite in ns-3 simulations.
(0)
QD channel model
Code for the ns-3 integration of the QD channel model implementation from NIST and University of Padova
QD channel model
Code for the ns-3 integration of the QD channel model implementation from NIST and University of Padova
(0)
NYUSIM
Sub-Terahertz and Millimeter Wave Channel Simulator for 5G and 6G
NYUSIM
Sub-Terahertz and Millimeter Wave Channel Simulator for 5G and 6G
(0)
ML Propagation Loss Model
The Machine Learning based Propagation Loss (MLPL) model is a module for ns-3 that uses ML to train a propagation loss model to reproduce the physical conditions of an experimental testbed
ML Propagation Loss Model
The Machine Learning based Propagation Loss (MLPL) model is a module for ns-3 that uses ML to train a propagation loss model to reproduce the physical conditions of an experimental testbed
(0)