Enhancing 6G-Satellite Network Integration with Artificial Intelligence: A Future Communication Paradigm

The integration of 6G networks and satellite communications is set to revolutionize global connectivity, offering seamless coverage across terrestrial and non-terrestrial environments. Artificial Intelligence (AI) is essential for improving this integration, addressing challenges such as dynamic resource management, latency reduction, and network optimization. AI techniques like machine learning, deep learning, and reinforcement learning offer innovative solutions to handle the complexities of 6G-satellite networks. These advancements promise to significantly improve network efficiency, enhance data transmission reliability, and ensure seamless connectivity across different areas. Potential use cases include smart cities, autonomous vehicles, and Internet of Things (IoT) applications, where AI-driven 6G-satellite integration will be crucial. The proposed AI-enhanced 6G-satellite framework not only addresses current challenges but also lays the groundwork for a resilient, scalable, and globally interconnected communication infrastructure, offering a promising future.

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Publication Details

Published
2025-01-15
DOI
https://doi.org/10.1109/lt64002.2025.10941672
Citations
1
Primary Topic
Satellite Communication Systems
Type
article
Field-Weighted Citation Impact
4.99
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article

Enhancing 6G-Satellite Network Integration with Artificial Intelligence: A Future Communication Paradigm

M. Mourad Mabrook, Mostafa Wageh Lotfy, Ibrahim Salah, Aziza I. Hussein
1 citations
Satellite Communication Systems
4.99
article

Enhancing 6G-Satellite Network Integration with Artificial Intelligence: A Future Communication Paradigm

M. Mourad Mabrook, Mostafa Wageh Lotfy, Ibrahim Salah, Aziza I. Hussein
article en
1 citations

Abstract

The integration of 6G networks and satellite communications is set to revolutionize global connectivity, offering seamless coverage across terrestrial and non-terrestrial environments. Artificial Intelligence (AI) is essential for improving this integration, addressing challenges such as dynamic resource management, latency reduction, and network optimization. AI techniques like machine learning, deep learning, and reinforcement learning offer innovative solutions to handle the complexities of 6G-satellite networks. These advancements promise to significantly improve network efficiency, enhance data transmission reliability, and ensure seamless connectivity across different areas. Potential use cases include smart cities, autonomous vehicles, and Internet of Things (IoT) applications, where AI-driven 6G-satellite integration will be crucial. The proposed AI-enhanced 6G-satellite framework not only addresses current challenges but also lays the groundwork for a resilient, scalable, and globally interconnected communication infrastructure, offering a promising future.

Beni-Suef University (EG), Effat University (SA), Iraq University College (IQ)
Openalex Percentile: Top 7%
Satellite Communication Systems
4.99
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Enhancing 6G-Satellite Network Integration with Artificial Intelligence: A Future Communication Paradigm — M. Mourad Mabrook, Mostafa Wageh Lotfy, et al. · (2025) | TGRS Research Map | TGRS