Dynamic Adaptation and Multi-Domain Learning for Optimized Interoperability between Heterogeneous Satellite Communication Systems

Abstract

With the rising demand for seamless global connectivity, heterogeneous satellite systems (i.e. satellite systems operated by different providers) are integrated. This study introduces a new approach to optimizing interoperability between satellite constellations using dynamic adaptation and multi-domain learning. To improve QoS and environment understanding, the framework employs intelligent protocol conversion, real-time network switching, and collaborative learning. The proposed system demonstrates considerable improvement in user satisfaction, QoS metrics, and learning efficiency from the simulation results. The findings underscore the transformational potential of multi-domain learning in the pursuit of satellite network interoperability and scalable, efficient communication systems.