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muhadafa's Projects

5g-nr-pusch icon 5g-nr-pusch

MATLAB implementation of a transmitter and receiver chain of the 5G NR Physical Uplink Shared Channel (PUSCH) defined by 3GPP rel 15.

cnn-radio-channel-estimation-and-phase-noise-modeling-with-dm-rs-and-pt-rs icon cnn-radio-channel-estimation-and-phase-noise-modeling-with-dm-rs-and-pt-rs

This project consists of two main parts: NR Channel Estimation with CNN, and NR Phase Noise Modeling and Compensation. Simple simulations and experiments are done to understand two main concepts: How demodulation reference signal (DM-RS) is used for channel estimation and how a Convolutional Neural Network can be trained and used to improve the rad

dataset icon dataset

Open RadioML Synthetic Benchmark Dataset

enhancing_least_square_channel_estimation_using_deep_learning icon enhancing_least_square_channel_estimation_using_deep_learning

This repository includes the source code of the LS-DNN based channel estimators proposed in "Enhancing Least Square Channel Estimation Using Deep Learning" paper that is published in the proceedings of the 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring) virtual conference.

flowise icon flowise

Drag & drop UI to build your customized LLM flow

graphical-user-interface-for-path-loss-models icon graphical-user-interface-for-path-loss-models

Through this project, I aim to create an open access tool with an interactive user interface that can be accessed by researchers from all over the world for calculating path loss and obtaining channel coefficients for a particular scenario.

kimios icon kimios

Open Source Document Management

mmreliable icon mmreliable

Artifacts for Sigcomm'21 paper "Two beams are better than one: Enabling reliable and high throughput mmWave links."

model-channel icon model-channel

The module receive the parameters; tx/rx power, antenna gain and the distance as parameters to model path loss and obtain an optimized link budget.

ns3-mmwave icon ns3-mmwave

ns-3 module for simulating mmWave-based cellular systems. See https://ieeexplore.ieee.org/document/8344116/ (open access) as a reference.

ns3-mmwave-hbf icon ns3-mmwave-hbf

Hybrid Beamforming in 5G mmWave Networks: a Full-stack Perspective

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