AI/ML Life Cycle Management for Interoperable AI Native RAN

arXiv:2507.18538 · cs.IT, cs.LG, math.IT · Submitted 2025-07-24 · Read on arXiv

cs.IT, cs.LG, math.IT

Submitted: 2025-07-24

Updated: 2026-08-26

Comments: This article has been accepted for publication in IEEE Communications Standards Magazine

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Adaptation — 12× in this paper · explained in 1 episode
• Machine Learning — 8× in this paper
• Accuracy — 5× in this paper · explained in 1 episode
• Alignment — 5× in this paper · explained in 1 episode
• Robustness — 5× in this paper · explained in 5 episodes
• Artificial Intelligence (AI) — 4× in this paper · explained in 2 episodes
• Core — 4× in this paper · explained in 2 episodes
• Study on Artificial Intelligence — 4× in this paper
• Model Drift — 3× in this paper · explained in 4 episodes
• Federated Learning — 2× in this paper · explained in 14 episodes
• Provenance — 2× in this paper · explained in 3 episodes
• Verification — 2× in this paper · explained in 2 episodes
• Work Item — 2× in this paper
• Adaptive Response — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Cooperation — 1× in this paper · explained in 2 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Distribution Shift — 1× in this paper · explained in 5 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• G Core Network — 1× in this paper
• G Radio Access Network — 1× in this paper
• Latent Representation — 1× in this paper · explained in 2 episodes
• Latent Representations — 1× in this paper · explained in 3 episodes
• RAN Intelligent Controller — 1× in this paper
• Radio Resource Control — 1× in this paper
• Study Item — 1× in this paper
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• Demonstrating Interoperable Channel State Feedback Compression with Machine Learning

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