| Name | AIMM-simulator JSON |
| Version |
2.0.3
JSON |
| download |
| home_page | |
| Summary | AIMM 5G system-level simulator (development for the AIMM project https://aimm.celticnext.eu) |
| upload_time | 2023-07-09 10:54:05 |
| maintainer | |
| docs_url | None |
| author | |
| requires_python | >=3.8 |
| license | |
| keywords |
5g
cellular radio
simulation
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
AIMM 5G system simulator
------------------------
The AIMM simulator emulates a cellular radio system roughly following 5G concepts and channel models. The intention is to have an easy-to-use and fast system written in pure Python with minimal dependencies. It is especially designed to be suitable for interfacing to AI engines such as ``tensorflow`` or ``pytorch``, and it is not a principal aim for it to be extremely accurate at the level of the radio channel. The simulator was developed for the AIMM project (<https://aimm.celticnext.eu>) by Keith Briggs (<https://keithbriggs.info>).
The full documentation is at <https://aimm-simulator.readthedocs.io/en/latest/>.
Software dependencies
---------------------
1. Python 3.8 or higher <https://python.org>.
2. NumPy <https://numpy.org/>.
3. Simpy <https://pypi.org/project/simpy/>.
4. If real-time plotting is needed, matplotlib <https://matplotlib.org>.
Installation
------------
Three ways are possible:
* The simplest way, direct from PyPI: ``pip install AIMM-simulator``. This will not always get the latest version.
* Download the wheel, typically ``dist/aimm_simulator-2.x.y-py3-none-any.whl`` from github, and run ``pip install <wheel>``.
* Alternatively, the package can be installed by downloading the complete repository (using the green ``<> Code ⌄`` button) as a zip, unpacking it, and then doing ``make install_local`` from inside the unpacked zip.
After installation, run a test with ``python3 examples/basic_test.py``.
Simulator block diagram
-----------------------
The diagram below (not visible on pypi.org) shows the main classes in the code and the relationships between them.
Raw data
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