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Artificial Intelligence in 3GPP 5G-Advanced: A Survey

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arxiv 2305.05092 v1 pith:IQWFR5NT submitted 2023-05-08 cs.NI cs.AI

classification cs.NIcs.AI
keywords g-advancedartificialdesignindustryintelligencereleasestandardizationtelecom
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Industries worldwide are being transformed by artificial intelligence (AI), and the telecom industry is no different. Standardization is critical for industry alignment to achieve widespread adoption of AI in telecom. The 3rd generation partnership project (3GPP) Release 18 is the first release of 5G-Advanced, which includes a diverse set of study and work items dedicated to AI. This article provides a holistic overview of the state of the art in the 3GPP work on AI in 5G-Advanced, by presenting the various 3GPP Release-18 activities on AI as an organic whole, explaining in detail the design aspects, and sharing various design rationales influencing standardization.

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Cited by 2 Pith papers

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  1. Graph Reinforcement Learning for QoS-Aware Load Balancing in Open Radio Access Networks

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    A graph reinforcement learning load balancer for multi-band O-RAN reduces QoS violations by 53% and increases the 5th percentile best-effort rate fourfold in simulation.

  2. A Tutorial on Non-Terrestrial Networks: Towards Global and Ubiquitous 6G Connectivity

    eess.SP 2024-12 conditional novelty 1.0 of 10

    A tutorial that consolidates the case for non-terrestrial networks in 6G and reviews enabling technologies, standards, and open problems.

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