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eess.SP2022★ 12 cited
Distributed Machine-Learning for Early HARQ Feedback Prediction in Cloud RANs
Barış Göktepe, Cornelius Hellge, Thomas Schierl +1
In this work, we propose novel HARQ prediction schemes for Cloud RANs (C-RANs) that use feedback over a rate-limited feedback channel (2 - 6 bits) from the Remote Radio Heads (RRHs…
eess.SP2020
Feedback Prediction for Proactive HARQ in the Context of Industrial Internet of Things
Baris Göktepe, Tatiana Rykova, Thomas Fehrenbach +2
In this work, we investigate proactive Hybrid Automatic Repeat reQuest (HARQ) using link-level simulations for multiple packet sizes, modulation orders, BLock Error Rate (BLER) tar…