Official implementation of the neural decoder based on mutual information maximization
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Updated
Sep 21, 2022 - Python
Official implementation of the neural decoder based on mutual information maximization
Train and evaluate autoencoders able to transmit data over a wireless channel, using TensorFlow and Keras frameworks.
A conversion code from digital data elements to digital signals according to Line Coding Schemes in Python.
Covert data exfiltration and detection using 802.11 beacon stuffing
Python module for 5G NR sync signals and decoding.
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.
Implementation of the performance evaluation of "On the Impact of Control Signaling in RIS-Empowered Wireless Communications"
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
Simulation of Digital Communication (physical layer) in Python.
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