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Susanna Schwarzmann
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2020 – today
- 2024
- [j4]Sayantini Majumdar, Susanna Schwarzmann, Riccardo Trivisonno, Georg Carle:
Toward Massive Distribution of Intelligence for 6G Network Management Using Double Deep Q-Networks. IEEE Trans. Netw. Serv. Manag. 21(2): 2077-2094 (2024) - [c20]Mattia Giovanni Spina, D. V. Soto Lebron, Susanna Schwarzmann, Riccardo Guerzoni, Riccardo Trivisonno, Antonio Iera, Floriano De Rango, George T. Karetsos, Thomas Zinner, Daniel Corujo:
In-Network Computing and Split-AI in 6G: Enablers and Proof-of-Concept Studies. 6GNet 2024: 135-143 - [c19]Javad Sameri, Sam Van Damme, Susanna Schwarzmann, Qing Wei, Riccardo Trivisonno, Filip De Turck, Maria Torres Vega:
Collaborative Cooking in VR: Effects of Network Distortion in Multi-User Virtual Environments. MMSys 2024: 509-515 - [c18]Sayantini Majumdar, Susanna Schwarzmann, Riccardo Trivisonno, Georg Carle:
Distributed Intelligence for Dynamic Task Migration in the 6G User Plane using Deep Reinforcement Learning. NOMS 2024: 1-9 - [c17]Sayantini Majumdar, Susanna Schwarzmann, Riccardo Trivisonno, Georg Carle:
Distributed Intelligence for Automated 6G Network Management Using Reinforcement Learning. NOMS 2024: 1-4 - [c16]Susanna Schwarzmann, Tugce Erkilic Civelek, Antonio Iera, Daniel Corujo, George T. Karetsos, Riccardo Guerzoni, Osama Abboud, Andres Meseguer Valenzuela, Riccardo Trivisonno, Mattia Giovanni Spina, Thomas Zinner, Toktam Mahmoodi:
Native Support of AI Applications in 6G Mobile Networks Via an Intelligent User Plane. WCNC 2024: 1-6 - 2023
- [c15]Susanna Schwarzmann, Riccardo Trivisonno, Stanislav Lange, Tugce Erkilic Civelek, Daniel Corujo, Riccardo Guerzoni, Thomas Zinner, Toktam Mahmoodi:
An Intelligent User Plane to Support In-Network Computing in 6G Networks. ICC 2023: 1100-1105 - [c14]Priyanka Pathak, Susanna Schwarzmann, Riccardo Trivisonno, Marius Pesavento:
Intelligent 6G Admission Control Leveraging LSTM-Based Request Forecasting. ICC 2023: 5154-5159 - 2022
- [b1]Susanna Schwarzmann:
Modeling and design of novel QoE management strategies for adaptive video streaming. Technical University of Berlin, Germany, 2022 - [j3]Susanna Schwarzmann, Clarissa Cassales Marquezan, Riccardo Trivisonno, Shinichi Nakajima, Vincent Barriac, Thomas Zinner:
ML-Based QoE Estimation in 5G Networks Using Different Regression Techniques. IEEE Trans. Netw. Serv. Manag. 19(3): 3516-3532 (2022) - [c13]Priyanka Pathak, Susanna Schwarzmann, Riccardo Trivisonno, Marius Pesavento:
Intelligent Admission Control in 6G Networks for Resource-efficient Reliable Connectivity. GLOBECOM 2022: 3851-3856 - [c12]Marija Gajic, Marcin Bosk, Susanna Schwarzmann, Stanislav Lange, Thomas Zinner:
Demonstrating QoE-aware 5G Network Slicing Emulated with HTB in OMNeT++. INFOCOM Workshops 2022: 1-2 - [p2]Susanna Schwarzmann:
QoE Management Strategien für adaptives Videostreaming. Ausgezeichnete Informatikdissertationen 2022: 271-280 - 2021
- [c11]Marcin Bosk, Marija Gajic, Susanna Schwarzmann, Stanislav Lange, Riccardo Trivisonno, Clarissa Cassales Marquezan, Thomas Zinner:
Using 5G QoS Mechanisms to Achieve QoE-Aware Resource Allocation. CNSM 2021: 283-291 - [i2]Marcin Bosk, Marija Gajic, Susanna Schwarzmann, Stanislav Lange, Thomas Zinner:
HTBQueue: A Hierarchical Token Bucket Implementation for the OMNeT++/INET Framework. CoRR abs/2109.12879 (2021) - 2020
- [j2]Christian Sieber, Susanna Schwarzmann, Andreas Blenk, Thomas Zinner, Wolfgang Kellerer:
Scalable Application- and User-aware Resource Allocation in Enterprise Networks Using End-Host Pacing. ACM Trans. Model. Perform. Evaluation Comput. Syst. 5(3): 11:1-11:41 (2020) - [c10]Susanna Schwarzmann, Clarissa Cassales Marquezan, Riccardo Trivisonno, Shinichi Nakajima, Thomas Zinner:
Accuracy vs. Cost Trade-off for Machine Learning Based QoE Estimation in 5G Networks. ICC 2020: 1-6 - [c9]Susanna Schwarzmann, Nick Hainke, Thomas Zinner, Christian Sieber, Werner Robitza, Alexander Raake:
Comparing fixed and variable segment durations for adaptive video streaming: a holistic analysis. MMSys 2020: 38-53 - [c8]Susanna Schwarzmann, Thomas Zinner:
Linking QoE and Performance Models for DASH-based Video Streaming. NetSoft 2020: 65-71
2010 – 2019
- 2019
- [c7]Susanna Schwarzmann, Paula Breitbach, Thomas Zinner:
Computing QoE-Relevant Adaptive Video Streaming Metrics Using Discrete-Time Analysis. ICIN 2019: 1-6 - [c6]Susanna Schwarzmann, Clarissa Cassales Marquezan, Marcin Bosk, Huiran Liu, Riccardo Trivisonno, Thomas Zinner:
Estimating Video Streaming QoE in the 5G Architecture Using Machine Learning. Internet-QoE@MOBICOM 2019: 7-12 - [c5]Susanna Schwarzmann, Paula Breitbach, Thomas Zinner, Matthias Rost:
Modeling Adaptive Video Streaming Using Discrete-Time Analysis. ITC 2019: 121-129 - 2018
- [c4]Susanna Schwarzmann, Thomas Zinner, Stefan Geissler, Christian Sieber:
Evaluation of the Benefits of Variable Segment Durations for Adaptive Streaming. QoMEX 2018: 1-6 - [p1]Raimund Schatz, Susanna Schwarzmann, Thomas Zinner, Ognjen Dobrijevic, Eirini Liotou, Peter Pocta, Sabina Barakovic, Jasmina Barakovic Husic, Lea Skorin-Kapov:
QoE Management for Future Networks. Autonomous Control for a Reliable Internet of Services 2018: 49-80 - [i1]Christian Sieber, Susanna Schwarzmann, Andreas Blenk, Thomas Zinner, Wolfgang Kellerer:
Scalable Application- and User-aware Resource Allocation in Enterprise Networks Using End-host Pacing. CoRR abs/1811.02367 (2018) - 2017
- [j1]Susanna Schwarzmann, Thomas Zinner, Ognjen Dobrijevic:
Quantitative comparison of application-network interaction: a case study of adaptive video streaming. Qual. User Exp. 2(1) (2017) - 2016
- [c3]Susanna Schwarzmann, Thomas Zinner, Ognjen Dobrijevic:
Towards a Framework for Comparing Application-Network Interaction Mechanisms. QCMan@ITC 2016: 13-18 - 2015
- [c2]Thomas Zinner, Florian Lemmerich, Susanna Schwarzmann, Matthias Hirth, Peter Karg, Andreas Hotho:
Text Categorization for Deriving the Application Quality in Enterprises Using Ticketing Systems. DaWaK 2015: 325-336 - 2014
- [c1]Susanna Schwarzmann, Thomas Zinner, Matthias Hirth:
Deriving the Employee-Perceived Application Quality in Enterprise IT Infrastructures using Information from Ticketing Systems. LWA 2014: 69-70
Coauthor Index
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