SOURCE-LINKED INTELLIGENCE
Improving 5G AI-RAN MCS Selection by Predicting Retransmissions
Link Adaptation (LA) in 5G NR is inherently reactive, relying on channel measurements and HARQ feedback that may become quickly obsolete when the channel changes quickly. This data is also noisy, making it hard to track accurately, and has to be fed to real-time controllers with feedback-loop effects which are hard to troubleshoot. This explains why most practical deployments select simple but robust algorithms, which accept that the lag can leave the scheduler operating at overly aggressive or unnecessarily conservative rates, trading spectrum efficiency for predictable performance. In this p
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-08T18:10:30.000Z
First collected: 2026-09-20T19:52:05.078Z. This is not the publication date.