Enabling Continuous 5G Connectivity in Aircraft through Low Earth Orbit Satellites
Raúl Parada, Victor Monzon Baeza, Carlos Horcajo Fernández de Gamboa, Rocío Serrano Camacho, Carlos Monzo
TL;DR
The paper investigates enabling continuous 5G connectivity for aircraft via Low Earth Orbit satellites. Using a Matlab/Simulink framework, it models dynamic satellite constellations, aircraft trajectories, sequential handovers, and ray-traced in-cabin signal distribution to assess end-to-end performance. Key contributions include a feasibility evaluation of LEO deployments, a sequential satellite insertion and handover mechanism, and an in-cabin 5G distribution strategy using MIMO and ray-tracing, validated through a NY–SD PoF. Results show substantial coverage improvements (up to ~98% on some routes) and enhanced in-cabin signal quality, though synchronization and simulation-time challenges remain. The work provides a scalable framework and practical guidance for deploying continuous in-flight 5G using LEO NTN, with implications for passenger experience and global connectivity.
Abstract
As air travel demand increases, uninterrupted high-speed internet access becomes essential. However, current satellite-based systems face latency and connectivity challenges. While prior research has focused on terrestrial 5G and geostationary satellites, there is a gap in optimizing Low Earth Orbit (LEO)-based 5G systems for aircraft. This study evaluates the feasibility of deployment strategies and improving signal quality with LEO satellites for seamless in-flight 5G connectivity. Using Matlab and Simulink, we model satellite trajectories, aircraft movement, and handover mechanisms, complemented by ray-tracing techniques for in-cabin signal analysis. Results show that proposed LEO satellite configurations enhance coverage and reduce latency, with sequential handovers minimizing service interruptions. These findings contribute to advancing in-flight 5G networks, improving passenger experience, and supporting real-time global connectivity solutions.
