Artificial Intelligence-Enabled Satellite Communication Framework for Secure, Scalable, and High-Performance Global Internet Connectivity
ABSTRACT The growing demand for universal internet access has highlighted the limitations of conventional terrestrial communication infrastructures, particularly in remote, rural, maritime, and disaster-affected regions. Satellite-Based Internet Communication Systems have emerged as a transformative solution capable of delivering broadband connectivity across vast geographical areas where traditional wired and wireless networks are either unavailable or economically infeasible. Recent advancements in Low Earth Orbit (LEO), Medium Earth Orbit (MEO), and Geostationary Earth Orbit (GEO) satellite technologies have significantly improved communication speed, coverage, latency, and network reliability. Furthermore, the integration of Artificial Intelligence (AI), Software Defined Networking (SDN), and advanced signal processing techniques has enhanced satellite network performance and resource utilization. This paper presents a comprehensive study of Satellite-Based Internet Communication Systems and proposes an Artificial Intelligence-Enabled Satellite Communication Framework (AI-SCF) designed to optimize network efficiency, coverage, and service quality. The proposed framework integrates intelligent routing, adaptive bandwidth allocation, machine learning-based traffic prediction, and dynamic satellite resource management. Performance evaluation demonstrates significant improvements in throughput, latency reduction, coverage reliability, and network scalability compared with conventional satellite communication architectures. The findings indicate that satellite internet systems will serve as a fundamental pillar of future 6G communication ecosystems and global digital inclusion initiatives. Keywords— Satellite Internet Communication, LEO Satellites, Broadband Connectivity, Artificial Intelligence, 6G Networks, Space Communication, Global Internet Access, Satellite Networking.