Susanna Schwarzmann

Orcid: 0000-0002-3705-7559

According to our database1, Susanna Schwarzmann authored at least 37 papers between 2014 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
In-Network Computing: An Architectural Framework for the 6G Core.
IEEE Commun. Stand. Mag., June, 2026

Memory-R2: Fair Credit Assignment for Long-Horizon Memory-Augmented LLM Agents.
CoRR, May, 2026

PyraVid: Hierarchical Multimodal Memory for Long-Horizon Video Reasoning.
CoRR, May, 2026

Toward AI-Native 6G Systems: Standards Enablers for 6G Network Automation.
IEEE Commun. Stand. Mag., March, 2026

Leveraging User Perception for 6G Edge-Cloud Orchestration of Networked Extended Reality.
IEEE Commun. Mag., February, 2026

2025
Physiology-Driven User Perception Prediction for Networked Collaborative Virtual Reality.
IEEE Access, 2025

GPU-accelerated In-Network Computing for Split-AI in 6G: A Trade-Off Between Inference Time and Energy Consumption.
Proceedings of the 2025 IEEE Global Communications Conference, 2025

Towards a Hybrid Hierarchical Digital Twin Architecture for the 6G Compute Continuum.
Proceedings of the 21st International Conference on Network and Service Management, 2025

Reinforcement Learning-based Orchestration of XR applications in Distributed 6G Cloud Infrastructures.
Proceedings of the 21st International Conference on Network and Service Management, 2025

2024
Toward Massive Distribution of Intelligence for 6G Network Management Using Double Deep Q-Networks.
IEEE Trans. Netw. Serv. Manag., April, 2024

Native Support of AI Applications in 6G Mobile Networks Via an Intelligent User Plane.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

Distributed Intelligence for Automated 6G Network Management Using Reinforcement Learning.
Proceedings of the NOMS 2024 IEEE Network Operations and Management Symposium, 2024

Distributed Intelligence for Dynamic Task Migration in the 6G User Plane using Deep Reinforcement Learning.
Proceedings of the NOMS 2024 IEEE Network Operations and Management Symposium, 2024

Collaborative Cooking in VR: Effects of Network Distortion in Multi-User Virtual Environments.
Proceedings of the 15th ACM Multimedia Systems Conference, 2024

In-Network Computing and Split-AI in 6G: Enablers and Proof-of-Concept Studies.
Proceedings of the 2nd International Conference on 6G Networking, 2024

2023
An Intelligent User Plane to Support In-Network Computing in 6G Networks.
Proceedings of the IEEE International Conference on Communications, 2023

Intelligent 6G Admission Control Leveraging LSTM-Based Request Forecasting.
Proceedings of the IEEE International Conference on Communications, 2023

2022
QoE Management Strategien für adaptives Videostreaming.
Ausgezeichnete Informatikdissertationen, 2022

Modeling and design of novel QoE management strategies for adaptive video streaming.
PhD thesis, 2022

ML-Based QoE Estimation in 5G Networks Using Different Regression Techniques.
IEEE Trans. Netw. Serv. Manag., 2022

Demonstrating QoE-aware 5G Network Slicing Emulated with HTB in OMNeT++.
Proceedings of the IEEE INFOCOM 2022, 2022

Intelligent Admission Control in 6G Networks for Resource-efficient Reliable Connectivity.
Proceedings of the IEEE Global Communications Conference, 2022

2021
HTBQueue: A Hierarchical Token Bucket Implementation for the OMNeT++/INET Framework.
CoRR, 2021

Using 5G QoS Mechanisms to Achieve QoE-Aware Resource Allocation.
Proceedings of the 17th International Conference on Network and Service Management, 2021

2020
Scalable Application- and User-aware Resource Allocation in Enterprise Networks Using End-Host Pacing.
ACM Trans. Model. Perform. Evaluation Comput. Syst., 2020

Linking QoE and Performance Models for DASH-based Video Streaming.
Proceedings of the 6th IEEE Conference on Network Softwarization, 2020

Comparing fixed and variable segment durations for adaptive video streaming: a holistic analysis.
Proceedings of the 11th ACM Multimedia Systems Conference, 2020

Accuracy vs. Cost Trade-off for Machine Learning Based QoE Estimation in 5G Networks.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

2019
Modeling Adaptive Video Streaming Using Discrete-Time Analysis.
Proceedings of the 31st International Teletraffic Congress, 2019

Estimating Video Streaming QoE in the 5G Architecture Using Machine Learning.
Proceedings of the 4th Internet-QoE Workshop on QoE-based Analysis and Management of Data Communication Networks, 2019

Computing QoE-Relevant Adaptive Video Streaming Metrics Using Discrete-Time Analysis.
Proceedings of the 22nd Conference on Innovation in Clouds, 2019

2018
QoE Management for Future Networks.
Proceedings of the Autonomous Control for a Reliable Internet of Services, 2018

Evaluation of the Benefits of Variable Segment Durations for Adaptive Streaming.
Proceedings of the Tenth International Conference on Quality of Multimedia Experience, 2018

2017
Quantitative comparison of application-network interaction: a case study of adaptive video streaming.
Qual. User Exp., 2017

2016
Towards a Framework for Comparing Application-Network Interaction Mechanisms.
Proceedings of the Fourth International IEEE Workshop on Quality of Experience Centric Management, 2016

2015
Text Categorization for Deriving the Application Quality in Enterprises Using Ticketing Systems.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2015

2014
Deriving the Employee-Perceived Application Quality in Enterprise IT Infrastructures using Information from Ticketing Systems.
Proceedings of the 16th LWA Workshops: KDML, 2014


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