OptiCommPy: Fiber Optic Communications with Python

Simulate optical communications systems with Python. This repository is a Python-based framework to simulate systems, subsystems and components of fiber optic communication systems, for educational and research purposes.

Available features

• QAM/PSK signal generation with CommPy
• Numerical models to simulate optical transmitters, nonlinear propagation over optical fibers, and optical receivers.
• CPU and GPU-based implementations of the split-step Fourier Method to simulate polarization multiplexed WDM transmission.
• Standard digital signal processing (DSP) blocks employed in coherent optical receivers. For most of the cases, Numba is used to speed up the core functions.
• Tools to evaluate transmission performance metrics such as bit-error-rate (BER), symbol-error-rate (SER), error vector magnitude (EVM), mutual information (MI), generalized mutual information (GMI).

How can I contribute?

If you want to contribute to this project, just implement the feature you want and send me a pull request. If you want to suggest new features or discuss anything related to OptiCommPy, please get in touch with me (edsonporto88@gmail.com).

Requirements/Dependencies

• python 3.2 or above
• numpy 1.10 or above
• scipy 0.15 or above
• matplotlib 1.4 or above
• Commpy 0.7.0 or above
• numba 0.54.1 or above
• tqdm

Installation

Clone from github and install as follows::

$ git clone https://github.com/edsonportosilva/OptiCommPy.git
$ cd OptiCommPy
$ python setup.py install

Citing this repository

Edson Porto da Silva, & Adolfo Herbster. (2021). edsonportosilva/OptiCommpy: First release (alpha version) (v0.1.0-alpha).