Authors: Cong T. Nguyen, Yuris Mulya Saputra, Nguyen Van Huynh, Tan N. Nguyen, Dinh Thai Hoang, Diep N Nguyen, Van-Quan Pham, Miroslav Voznak, Symeon Chatzinotas, Dinh-Hieu Tran

Published on: March 12, 2024

Impact Score: 7.6

Arxiv code: Arxiv:2403.07763

Summary

• What is new: The article introduces innovative applications of network slicing, AI/ML, and ORAN to address Non-terrestrial Network (NTN) challenges, specifically for the upcoming 6G era.
• Why this is important: Terrestrial networks are struggling with coverage, reliability, interference, and congestion issues, which are expected to exacerbate in the 6G era.
• What the research proposes: Non-terrestrial Networks (NTNs) utilizing network slicing, AI/ML, and ORAN technologies offer promising solutions to enhance reliability, coverage, and efficiency of future communication systems.
• Results: The survey presents a comprehensive overview of how network slicing and AI/ML can address NTN challenges and proposes the use of ORAN as a viable solution, while also pointing out the existing gaps and future research directions.

Technical Details

Technological frameworks used: Network slicing, AI/ML, ORAN

Models used: Not specified

Data used: Comprehensive surveys from academia and industry

Potential Impact

Telecommunications, Satellite Communication Providers, companies involved in unmanned aerial vehicles (UAVs), and tech firms focusing on 6G technology.

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