HitchHiking measures LEO satellite network characteristics at scale.

End-to-end ns-3.43 simulator for 6G non-terrestrial networks: measured NR-NTN data plane under SGP4 mobility, NTN/O-RAN application layer with in-band QoS KPIs, E2SM-KPM flow monitor, multi-tier RIC, regenerative payloads, TR 38.821-calibrated radio, all 5 NTN handover trigger classes, THz, Sionna RT, AI/ML, digital twin.

A Webhook for SWARM IoT Satellites

Python package for characterising potential radio frequency interference (RFI) from Low Earth Orbit (LEO) satellite constellations, like Starlink, in wide-field radio astronomy.

MATLAB framework for Q-band LEO satellite link budget modeling with adaptive coding and modulation (ACM). Includes time-varying propagation and realistic noise modeling.

End-to-end LEO satellite comms simulator: ITU-R P.618 link budget, CCSDS LDPC coding, T4B GNSS ranging, and OTFS waveform over ETU channel — all in MATLAB.

Open-source satellite constellation management and AI-assisted operations platform. Unified control plane for fleet visualization, pass scheduling, data routing, and intelligent operations assistance.

TASA SatNet Pipeline: OASIS→NS-3/SNS3 satellite-ground communication pipeline with TLE integration, multi-constellation support, K8s deployment, and visualization

CubeSat Flight Software and GNC implementations in C++

Study of Accumulated Doppler effect on LoRa symbols for LEO satellite communication

MATLAB simulations covering channel coding, CDMA, OFDM adaptive bit loading, and LEO satellite link budgets. Analytical derivations validated by Monte Carlo.

MATLAB-based Ground Resource Management scheduler for LEO satellite tracking

Framework for simulating LEO satellite links with real meteorological data, estimating Q/V-band excess path loss, and forecasting it with an LSTM neural network.

The project explores fundamental concepts in orbital mechanics, antenna dynamics, and PID control, combining these elements to simulate a Low Earth Orbit (LEO) satellite. It is designed for beginners interested in entering the space industry, particularly in the field of satellite communications.

Turkish NetSatBench lab guide for setting up and troubleshooting LEO satellite network emulation with Docker, Etcd, VXLAN, tc/netem, and Ubuntu.

Design an early warning system showing how orbital factors and space weather influence the satellite drag using a Machine Learning model

U(1) Solar Phase → Thermospheric Density → LEO Satellite Drag