ZiadAtya's starred repositories
project-based-learning
Curated list of project-based tutorials
DevOps-Roadmap
DevOps Roadmap for 2024. with learning resources
cake-autorate
Eliminate the excess latency and jitter terrorizing your 4G, 5G, LTE, Starlink or other variable rate connection!
RIS-MISO-Deep-Reinforcement-Learning
Joint Transmit Beamforming and Phase Shifts Design with Deep Reinforcement Learning
mmWave-localization-learning
🎯 ML-based positioning method from mmWave transmissions - with high accuracy and energy efficiency
my5G-RANTester
my5G-RANTester is a gNB/UE simulator for studying 3GPP standards and stressing a 5G core.
RIS-MISO-PDA-Deep-Reinforcement-Learning
Joint Transmit Beamforming and Phase Shifts Design with Deep Reinforcement Learning Under the Phase-Dependent Amplitude Model
wireless-network-simulator
4G/5G network simulation with UE handovers
awesome-5g
knowledge base for 5G
DeepMIMO-5GNR
DeepMIMO 5G NR dataset codes for mmWave and massive MIMO applications
nr-dimensioning
Simulations and figures for 5G NR radio resource properties planning. Built for educational purposes.
5G_NR_Simulations
5G New Radio Simulations written in Python with descriptive Plots
pensieve-5G
Pensieve for 5G datasets.
mobile-network-datasets-ns3
This project contains scripts to generate datasets from 4G and 5G mobile networks. It comes packaged with the base ns-3 module along with additional third party ns-3 modules that are required to generate diverse datasets.
amazon-lookout-for-equipment-python-sdk
The Amazon Lookout for Equipment Python SDK is an open-source library that allows you to easily build, train and deploy anomaly detection models for industrial time series data using Amazon Lookout for Equipment
Provide-Insights-to-Executive-team-in-Telecom-Domain-5G-
This was a Challenge put up by a famous YouTuber Codebasics and he provided all the datasets and also provided a mock-up. We had to create a dashboard similar to the mock-up for the Executive Team in the telecom Domain of AtliQo regards to launching of 5G. #codebasicsresumeprojectchallenge
pensieve-5G
Pensieve for 5G datasets.
synthetic_vehicular_5g_dataset
The synthetic_vehicular_5g_dataset consists of 10,000 records, each representing a unique vehicular edge computing scenario within a 5G network. The dataset is synthetic, meaning it is algorithmically generated to emulate real-world conditions.