Simulation of Digital Communication (physical layer) in Python.

Tensorflow Implementation and result of Auto-encoder Based Communication System From Research Paper : "An Introduction to Deep Learning for the Physical Layer" http://ieeexplore.ieee.org/document/8054694/

This repository contains Physical layer utilities based on 3GPP specs for NR 5G

Source code for paper "MIMO Channel Estimation using Score-Based Generative Models", published in IEEE Transactions on Wireless Communications.

This repository will contains my learnings and quiz answers for Bits and Bytes of Networking course.

Implementation of the PCIe physical layer

5G Tookit provides a rich set of 3GPP standards compliant modules and libraries. These modules can be used for reseach and development on physical channels and procedures in uplink and downlink communication.

Covert data exfiltration and detection using 802.11 beacon stuffing

FPGA implementation of the eNodeB and gNB physical layers

Implementation of the performance evaluation of "On the Impact of Control Signaling in RIS-Empowered Wireless Communications"

Train and evaluate autoencoders able to transmit data over a wireless channel, using TensorFlow and Keras frameworks.

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.

Simulations, Paper Submission Drafts and Patent Applications for Research on Hierarchical Modulations

Record results of 5G NR downlink baseband algorithm research

"This repository is a comprehensive implementation of data link layer protocols in the field of networking. Also showcases a meticulous approach towards implementing various protocols at the data link layer, enabling developers to understand, experiment."

A conversion code from digital data elements to digital signals according to Line Coding Schemes in Python.

"This repository focuses on implementing data link layer error detection codes. Providarious error detection techniques used in data communices methods for vations at the data link layer."

Official implementation of the neural decoder based on mutual information maximization