https://github.com/arturandre/ns3-mmwave
ns-3 module for simulating mmWave-based cellular systems. See https://ieeexplore.ieee.org/document/8344116/ (open access) as a reference.
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ns-3 module for simulating mmWave-based cellular systems. See https://ieeexplore.ieee.org/document/8344116/ (open access) as a reference.
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Fork of nyuwireless-unipd/ns3-mmwave
Created about 7 years ago
· Last pushed about 7 years ago
https://github.com/arturandre/ns3-mmwave/blob/new-handover/
# mmWave ns-3 module #
This is an [ns-3](https://www.nsnam.org "ns-3 Website") mmWave module for the simulation
of 5G mmWave cellular networks. A description of this module can be found on [IEEExplore (open access)](https://ieeexplore.ieee.org/document/8344116/ "mmwave paper").
The mmWave module for ns-3 can be used to simulate 5G cellular networks at mmWave frequencies.
This module builds on top of the LTE one, and currently includes features such as:
- Support of a wide range of channel models, including the latest 3GPP model for frequency spectrum above 6 GHz. Ray tracing and measured traces can also be modeled.
- Custom PHY and MAC classes, inspired to the PHY and MAC of 3GPP NR. They support dynamic TDD, and are parameterized and highly customizable in order to be flexible enough for testing different designs.
- Custom schedulers for the dynamic TDD format
- Carrier Aggregation at the MAC layer
- Enhancements to the RLC layer with re-segmentation of packets for retransmissions
- Dual Connectivity with LTE base stations, with fast secondary cell handover and channel tracking
- Simulation of core network elements (with also the MME as a real node)
The following papers describe in detail the features implemented in the mmWave module:
- [End-to-End Simulation of 5G mmWave Networks](https://ieeexplore.ieee.org/document/8344116/ "comst paper") is a comprehensive tutorial with a detailed description of the whole module. We advise the researchers interested in this module to start reading from this paper;
- [Integration of Carrier Aggregation and Dual Connectivity for the ns-3 mmWave Module](https://arxiv.org/abs/1802.06706 "wns3 2018") describes the Carrier Aggregation implementation;
- [ns-3 Implementation of the 3GPP MIMO Channel Model for Frequency Spectrum above 6 GHz](https://dl.acm.org/citation.cfm?id=3067678 "wns3 2017") describes the implementation of the 3GPP channel model;
- [Multi-Sector and Multi-Panel Performance in 5G mmWave Cellular Networks](https://arxiv.org/abs/1808.04905 "globecom2018") describes the multi-sector addition to the 3GPP channel model;
- [Performance Comparison of Dual Connectivity and Hard Handover for LTE-5G Tight Integration](https://arxiv.org/abs/1607.05425 "simutools paper") describes the Dual Connectivity feature.
If you use this module in your research, please cite
M. Mezzavilla, M. Zhang, M. Polese, R. Ford, S. Dutta, S. Rangan, M. Zorzi, _"End-to-End Simulation of 5G mmWave Networks,"_ in IEEE Communications Surveys & Tutorials, vol. 20, no. 3, pp. 2237-2263, thirdquarter 2018. [bibtex available here](https://ieeexplore.ieee.org/document/8344116/)
## Future work
We are actively developing new features for the mmWave module, including:
- 3GPP NR beam tracking
- 3GPP NR Integrated Access and Backhaul feature (see [this repo](https://github.com/signetlabdei/ns3-mmwave-iab) for more details)
## About
This module is being developed by [NYU Wireless](http://wireless.engineering.nyu.edu/) and the [University of Padova](http://mmwave.dei.unipd.it/).
This work was supported in part by the U.S. Department of Commerce National Institute of Standards and Technology through the Project An End-to-End Research Platform for Public Safety Communications above 6 GHz under Award 70NANB17H16.
## Authors ##
The authors of the mmWave module are listed in [this file](https://github.com/nyuwireless-unipd/ns3-mmwave/blob/new-handover/src/mmwave/AUTHORS).
## License ##
This software is licensed under the terms of the GNU GPLv2, as like as ns-3. See the LICENSE file for more details.
## The Network Simulator, Version 3 ##
Table of Contents:
------------------
1) An overview
2) Building ns-3
3) Running ns-3
4) Getting access to the ns-3 documentation
5) Working with the development version of ns-3
Note: Much more substantial information about ns-3 can be found at
http://www.nsnam.org
1) An Open Source project
-------------------------
ns-3 is a free open source project aiming to build a discrete-event
network simulator targeted for simulation research and education.
This is a collaborative project; we hope that
the missing pieces of the models we have not yet implemented
will be contributed by the community in an open collaboration
process.
The process of contributing to the ns-3 project varies with
the people involved, the amount of time they can invest
and the type of model they want to work on, but the current
process that the project tries to follow is described here:
http://www.nsnam.org/developers/contributing-code/
This README excerpts some details from a more extensive
tutorial that is maintained at:
http://www.nsnam.org/documentation/latest/
2) Building ns-3
----------------
The code for the framework and the default models provided
by ns-3 is built as a set of libraries. User simulations
are expected to be written as simple programs that make
use of these ns-3 libraries.
To build the set of default libraries and the example
programs included in this package, you need to use the
tool 'waf'. Detailed information on how use waf is
included in the file doc/build.txt
However, the real quick and dirty way to get started is to
type the command
./waf configure --enable-examples
followed by
./waf
(If errors occurred during the build process, type the following command
CXXFLAGS="-Wall" ./waf configure --enable-examples
followed by
./waf)
in the the directory which contains
this README file. The files built will be copied in the
build/ directory.
The current codebase is expected to build and run on the
set of platforms listed in the RELEASE_NOTES file.
Other platforms may or may not work: we welcome patches to
improve the portability of the code to these other platforms.
3) Running ns-3
---------------
On recent Linux systems, once you have built ns-3 (with examples
enabled), it should be easy to run the sample programs with the
following command, such as:
./waf --run simple-global-routing
That program should generate a simple-global-routing.tr text
trace file and a set of simple-global-routing-xx-xx.pcap binary
pcap trace files, which can be read by tcpdump -tt -r filename.pcap
The program source can be found in the examples/routing directory.
4) Getting access to the ns-3 documentation
-------------------------------------------
Once you have verified that your build of ns-3 works by running
the simple-point-to-point example as outlined in 4) above, it is
quite likely that you will want to get started on reading
some ns-3 documentation.
All of that documentation should always be available from
the ns-3 website: http:://www.nsnam.org/documentation/.
This documentation includes:
- a tutorial
- a reference manual
- models in the ns-3 model library
- a wiki for user-contributed tips: http://www.nsnam.org/wiki/
- API documentation generated using doxygen: this is
a reference manual, most likely not very well suited
as introductory text:
http://www.nsnam.org/doxygen/index.html
5) Working with the development version of ns-3
-----------------------------------------------
If you want to download and use the development version
of ns-3, you need to use the tool 'mercurial'. A quick and
dirty cheat sheet is included in doc/mercurial.txt but
reading through the mercurial tutorials included on the
mercurial website is usually a good idea if you are not
familiar with it.
If you have successfully installed mercurial, you can get
a copy of the development version with the following command:
"hg clone http://code.nsnam.org/ns-3-dev"
Owner
- Name: Artur André A. M. Oliveira
- Login: arturandre
- Kind: user
- Location: R. do Matão, 1010 - Vila Universitaria, São Paulo - SP, 05508-090
- Company: University of São Paulo
- Website: http://vision.ime.usp.br/~arturao/
- Repositories: 3
- Profile: https://github.com/arturandre
Ph.D. in Computer Science, passionate about Deep Learning, Computers, Vision and both mixed =D