QuaDRiGa, short for QUAsi Deterministic RadIo channel GenerAtor, is used for generating realistic radio channel impulse responses for system-level simulations of mobile radio networks. These simulations are used to determine the performance of new technologies in order to provide an objective indicator for the standardization process in bodies like the third generation partnership program 3GPP.
QuaDRiGa was developed at Fraunhofer HHI to enable the modeling of MIMO radio channels for specific network configurations, such as indoor, satellite or heterogeneous configurations. Besides being a fully-fledged three dimensional geometry-based stochastic channel model, QuaDRiGa contains a collection of features created in SCM(e) and WINNER channel models along with novel modeling approaches which provide features to enable quasi-deterministic multi-link tracking of users (receiver) movements in changing environments.
The new version (v2.0) of QuaDRiGa contains a couple of new features and is furthermore calibrated against 3GPP channel models like 3GPP-3D and the latest New Radio channel model. The supported (standardized) channel models are:
Added features in version 2.0:
Features of version 1.4:
Quadriga Version: 2.0.0-664
QuaDRiGa is free software: you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. The details can be seen below. Please free to contact us for technical requests under: QuaDRiGa team.
|2.0.0||01.08.2017||Supports 3GPP 38.901 channel model (including spatial consistency and multi-frequency simulations) and final mmMAGIC channel model.|
|1.4.1||22.03.2016||Supports 3GPP-3D (3GPP TR 36.873) simulations and initial mm-wave channels up to 80 GHz.|
Please see latest GNU LGPL version here.
The technical documentation gives a detailed overview of the QuaDRiGa channel model, its implementation details and tutorials providing examples for usage. The model has been evolved from the WINNER channel model described in WINNER II deliverable D1.1.2 v.1.2. This document covers only the model itself. Measurement campaigns covering the extraction of suitable parameters can be found in the WINNER documentation. Furthermore, the MIMOSA project covers the model development and parameter extraction for land-mobile satellite channels.
The channel model is parametrized for various applications and scenarios, e.g. urban macrocellular (UMa) or urban microcellular (UMi). The model parameters for these scenarios are either based on measurement campaigns or on standardized models. While a multitude of common configuration files comes with the QuaDRiGa implementation, additional parameterizations based on single measurement campaigns are available here.
|BERLIN UMi Campus LOS||Urban micro campus LOS configuration according to measurements conducted at 3.675 GHz in Berlin, Germany.|
|BERLIN UMi Campus NLOS||Urban micro campus NLOS configuration according to measurements conducted at 3.675 GHz in Berlin, Germany.|
|BERLIN UMi Square LOS||Urban micro open-square LOS configuration according to measurements conducted at 3.675 GHz in Berlin, Germany.|
|BERLIN UMi Square NLOS||Urban micro open-square NLOS configuration according to measurements conducted at 3.675 GHz in Berlin, Germany.|
Please change the file extension .txt to .conf after downloading
|Jaeckel, S.; Quasi-deterministic channel modeling and experimental validation in cooperative and massive MIMO deployment topologies; TU Ilmenau, 2017||http://www.db-thueringen.de/receive/dbt_mods_00032895|
|F. Burkhardt, E. Eberlein, S. Jaeckel, G. Sommerkorn and R. Prieto-Cerdeira, "MIMOSA–a dual approach to detailed land mobile satellite channel modeling", International Journal of Satellite Communications and Networking, 2014.||http://onlinelibrary.wiley.com/doi/10.1002/sat.1045/abstract|
|K. Börner, J. Dommel, S. Jaeckel and L. Thiele, "On The Requirements for Quasi-Deterministic Radio Channel Models for Heterogeneous Networks", 2012 International Symposium on Signals, Systems and Electronics (ISSSE), pp.1-5, 3-5 Oct. 2012.||http://dx.doi.org/10.1109/ISSSE.2012.6374332|
|S. Jaeckel, K. Börner, L. Thiele and V. Jungnickel, "A Geometric Polarization Rotation Model for the 3D Spatial Channel Model", IEEE Transactions on Antennas and Propagation, vol.60, no.12, pp.5966-5977, Dec. 2012.||http://dx.doi.org/10.1109/TAP.2012.2214017|
|S. Jaeckel, L. Raschkowski, K. Börner and L. Thiele, "QuaDRiGa: A 3-D Multicell Channel Model with Time Evolution for Enabling Virtual Field Trials", IEEE Transactions on Antennas Propagation, 2014.||http://dx.doi.org/10.1109/TAP.2014.2310220|
|F. Burkhardt, E. Eberlein, S. Jaeckel, G. Sommerkorn and R. Prieto-Cerdeira, "QuaDRiGa: a MIMO Channel Model for Land Mobile Satellite", 2014 8th European Conference on Antennas and Propagation (EuCAP), 2014.||http://dx.doi.org/10.1109/EuCAP.2014.6902008|
This work is supported by:
European Space Research and Technology Centre (ESTEC) under contract AO/1-5985/09/08/NL/LvH (Acronym: MIMOSA) | 01.06.10 – 18.12.13
Federal Ministry for Economic Affairs and Energy (BMWi) in the national collaborative project IntelliSpektrum under contract 01ME11024. | 01.04.11 – 30.09.14
European Commission co-funded the project METIS as an Integrated Project under the Seventh Framework Programme for research and development (FP7) | 01.11.12 – 30.04.15
GreenTouch within the funded project “LSAS Channel Modelling” | 01.10.13 – 31.03.15
European Commission funded project 5G PPP mmMAGIC (Millimetre-Wave Based Mobile Radio Access Network for Fifth Generation Integrated Communications) | 01.07.15 – 30.06.17