wiphy 0.8

The fundamental Python package for wireless signal processing at the physical layer

WiPhy

WiPhy is a Python package for wireless signal processing at the physical layer. This package attempts to facilitate reproducible research in wireless communications.

Key Features

The major advantages of this package are highlighted as follows:

• Incredibly fast. It accelerates bit error ratio and average mutual information simulations by using a state-of-the-art Nvidia GPU and the massively parallel algorithms proposed in [1].
• Numba friendly. Different from the conventional IMToolkit, it dose not rely on any class and object-oriented programming. Thus, users are free from the nightmare of complex @jitclass decorations.
• Highly reliable. As with other high-quality packages, it has been maintained based on test-driven development. The simulation results have been used by IEEE journal papers.
• Reproducible. As given in examples, it is capable of reproducing results reported in a number of academic papers.

Supported State-of-the-Art Concepts

• Nonsquare differential signaling.
• Index modulation.

Disadvantages

• Some methods are not well documented.

Installation Guide

pip users

> pip install wiphy

Anaconda users

> git clone https://github.com/ishikawalab/wiphy/
> conda develop ./wiphy