Simulation of Digital Communication (physical layer) in Python.
Source code for paper "MIMO Channel Estimation using Score-Based Generative Models", published in IEEE Transactions on Wireless Communications.
This repository contains Physical layer utilities based on 3GPP specs for NR 5G
Covert data exfiltration and detection using 802.11 beacon stuffing
Python 5G toolbox provide 3GPP 5G NR physical layer high-phy and low-phy libraries. It has passed 60K+ testcases which were generated from Matlab 5G toolbox.
Implementation of the performance evaluation of "On the Impact of Control Signaling in RIS-Empowered Wireless Communications"
Python module for 5G NR sync signals and decoding.
Train and evaluate autoencoders able to transmit data over a wireless channel, using TensorFlow and Keras frameworks.
Physical and Data Link Layer funtionalities of the TCP/IP Model. Manchester Encoding, Cyclic Redundancy Check (CRC), Frame by Frame communication and plotting graphs by PyLab.
Official implementation of the neural decoder based on mutual information maximization
Line coding schemes are used at OSI Layer 1 (Physical Layer) to transform digital data into digital signals and vice versa.
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