Swift harq based on machine learning for latency minimization in urllc

S Almarshed, D Triantafyllopoulou, K Moessner - IEEE access, 2023 - ieeexplore.ieee.org
Ultra-reliable low-latency communication (URLLC) has been introduced in the 5th
Generation (5G) radios for mission-critical applications that demand strict reliability and …

Real-Time Flow Scheduling in Industrial 5G New Radio

T Zhang, J Wang, XS Hu, S Han - 2023 IEEE Real-Time …, 2023 - ieeexplore.ieee.org
Among the many industrial wireless solution candidates, 5G New Radio (NR) has drawn
significant attention in recent years due to its capabilities to support ultra-high-speed …

Distributed machine-learning for early harq feedback prediction in cloud rans

B Göktepe, C Hellge, T Schierl… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
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 …

A hybrid HARQ feedback prediction approach for Single-and Cloud-RANs in the sub-THz regime

B Göktepe, C Hellge, T Schierl… - GLOBECOM 2022-2022 …, 2022 - ieeexplore.ieee.org
In this work, we extend two autoencoder-based HARQ prediction schemes to exploit
subcode-based features and SNR-based features jointly. We apply the proposed HARQ …

On the Limits of HARQ Prediction for Short Deterministic Codes with Error Detection in Memoryless Channels

B Göktepe, C Hellge, T Rykova… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
We provide a mathematical framework to analyze the limits of Hybrid Automatic Repeat
reQuest (HARQ) and derive analytical expressions for the most powerful test for estimating …

Efficient Immediate-Transmission Scheme for Emergency Packets in Closed Area Wireless Access Networks

H So, D Murayama - IEEE Access, 2021 - ieeexplore.ieee.org
This paper proposes an efficient immediate-transmission scheme for highly reliable and low-
latency wireless communication without waiting for radio resource allocation. In the …