Current Volume 8
Abstract
The integration of Generative Artificial Intelligence (AI) in satellite-based internet services presents a transformative approach to optimizing predictive beamforming for enhanced connectivity and efficiency. Traditional beamforming techniques rely on deterministic models and historical data, often struggling to adapt to dynamic environmental conditions, network congestion, and user mobility. This paper explores the potential of generative AI models, such as variational autoencoders (VAEs), generative adversarial networks (GANs), and transformer-based architectures, to predict optimal beam configurations in real time. By leveraging vast amounts of satellite telemetry, weather patterns, and user traffic data, generative AI can synthesize realistic future network states, mitigate latency, and improve signal coverage. We discuss the architectural considerations, training methodologies, and deployment challenges associated with AI-driven beamforming. Furthermore, we evaluate performance metrics, including beam alignment accuracy, spectral efficiency, and adaptability to disruptions, comparing AI-enhanced approaches with conventional predictive models. The findings suggest that generative AI can significantly enhance satellite internet services by improving coverage, reducing handover failures, and optimizing power allocation, paving the way for next-generation, AI-native satellite communication systems.
Keywords
Generative AI, Predictive Beamforming, Satellite Internet, AI-Driven Beam Steering, and Dynamic Beam Allocation.
Citations
IRE Journals:
Mohammad Serajuddin , Prabhdeep Singh
"Enhancing Satellite Internet with Generative AI-Driven Predictive Beamforming" Iconic Research And Engineering Journals Volume 8 Issue 9 2025 Page 1530-1543
IEEE:
Mohammad Serajuddin , Prabhdeep Singh
"Enhancing Satellite Internet with Generative AI-Driven Predictive Beamforming" Iconic Research And Engineering Journals, 8(9)
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IRE Journals is an open access online journals established with an aim to publish high quality of research work in various diciplines. We have more than 6 years in publications. Over 2500+ papers already published.
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