activity
20182023
most citedEnhanced Machine Learning Techniques for Early HARQ Feedback Prediction in 5G

71 citations · 229 across the 8 of their papers we have counts for

collaborators

9 papers

cs.IT2023

On the Limits of HARQ Prediction for Short Deterministic Codes with Error Detection in Memoryless Channels (Extended Version with Proofs)

Barış Göktepe, Cornelius Hellge, Tatiana Rykova +2

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 the…

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.IV2021

Open GOP Resolution Switching in HTTP Adaptive Streaming with VVC

Robert Skupin, Christian Bartnik, Adam Wieckowski +4

The user experience in adaptive HTTP streaming relies on offering bitrate ladders with suitable operation points for all users and typically involves multiple resolutions. While op…

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…

cs.MM2020★ 36 cited

Kalman Filter-based Head Motion Prediction for Cloud-based Mixed Reality

Serhan Gül, Sebastian Bosse, Dimitri Podborski +2

Volumetric video allows viewers to experience highly-realistic 3D content with six degrees of freedom in mixed reality (MR) environments. Rendering complex volumetric videos can re…

cs.MM2020★ 41 cited

Cloud Rendering-based Volumetric Video Streaming System for Mixed Reality Services

Serhan Gül, Dimitri Podborski, Jangwoo Son +4

Volumetric video is an emerging technology for immersive representation of 3D spaces that captures objects from all directions using multiple cameras and creates a dynamic 3D model…

cs.MM2020★ 61 cited

Low-latency Cloud-based Volumetric Video Streaming Using Head Motion Prediction

Serhan Gül, Dimitri Podborski, Thomas Buchholz +2

Volumetric video is an emerging key technology for immersive representation of 3D spaces and objects. Rendering volumetric video requires lots of computational power which is chall…

cs.MM2019★ 8 cited

HTML5 MSE Playback of MPEG 360 VR Tiled Streaming

Dimitri Podborski, Jangwoo Son, Gurdeep Singh Bhullar +4

Virtual Reality (VR) and 360-degree video streaming have gained significant attention in recent years. First standards have been published in order to avoid market fragmentation. F…

cs.IT2018★ 71 cited

Enhanced Machine Learning Techniques for Early HARQ Feedback Prediction in 5G

Nils Strodthoff, Barış Göktepe, Thomas Schierl +2

We investigate Early Hybrid Automatic Repeat reQuest (E-HARQ) feedback schemes enhanced by machine learning techniques as a path towards ultra-reliable and low-latency communicatio…