Blar i NTNU Open på forfatter "Schwarzmann, Susanna"

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    • Accuracy vs. Cost Trade-off for Machine Learning Based QoE Estimation in 5G Networks 

      Schwarzmann, Susanna; Marquezan, Clarissa Cassales; Trivisonno, Riccardo; Nakajima, Shinichi; Zinner, Thomas (Chapter, 2020)
      Since their first release, 5G systems have been enhanced with Network Data Analytics Functionalities (NWDAF) as well as with the ability to interact with 3rd parties' Application Functions (AFs). Such capabilities enable ...

    • Comparing fixed and variable segment durations for adaptive video streaming: a holistic analysis 

      Schwarzmann, Susanna; Hainke, Nick; Zinner, Thomas; Sieber, Christian; Robitza, Werner; Raake, Alexander (Chapter, 2020)
      HTTP Adaptive Streaming (HAS) is the de-facto standard for video delivery over the Internet. It enables dynamic adaptation of video quality by splitting a video into small segments and providing multiple quality levels per ...

    • Computing QoE-Relevant Adaptive Video Streaming Metrics Using Discrete-Time Analysis 

      Schwarzmann, Susanna; Breitbach, Paula; Zinner, Thomas Erich (Chapter, 2019)
      HTTP Adaptive Streaming (HAS) is the de-facto standard for video delivery over the Internet. Splitting the video clip into small segments and providing multiple quality levels per segment allows the client to dynamically ...

    • Demonstrating QoE-aware 5G Network Slicing Emulated with HTB in OMNeT++ 

      Gajic, Marija; Bosk, Marcin; Schwarzmann, Susanna; Lange, Stanislav; Zinner, Thomas Erich (Chapter, 2022)
      Today’s networks support a great variety of services with different bandwidth and latency requirements. To maintain high user satisfaction and efficient resource utilization, providers employ traffic shaping. One such ...

    • Estimating Video Streaming QoE in the 5G Architecture Using Machine Learning 

      Schwarzmann, Susanna; Marquezan, Clarissa; Bosk, Marcin; Liu, Huiran; Trivisonno, Riccardo; Zinner, Thomas Erich (Chapter, 2019)
      Compared to earlier mobile network generations, the 5G system architecture has been significantly enhanced by the introduction of network analytics functionalities and ex- tended capabilities of interacting with third party ...

    • Linking QoE and Performance Models for DASH-based Video Streaming 

      Schwarzmann, Susanna; Zinner, Thomas (Chapter, 2020)
      HTTP Adaptive Streaming (HAS) is the de-facto standard for video delivery over the Internet. Splitting the video clip into small segments and providing multiple quality levels per segment allows the client to dynamically ...

    • ML-based QoE Estimation in 5G Networks Using Different Regression Techniques 

      Schwarzmann, Susanna; Marquezan, Clarissa Cassales; Trivisonno, Riccardo; Nakajima, Shinichi; Barriac, Vincent; Zinner, Thomas (Journal article; Peer reviewed, 2022)
      Monitoring and providing customers with a satisfying Quality of Experience (QoE) is a crucial business incentive for mobile network operators (MNOs). While the MNO is capable of monitoring a vast amount of network-related ...

    • Using 5G QoS Mechanisms to Achieve QoE-Aware Resource Allocation 

      Bosk, Marcin; Gajic, Marija; Schwarzmann, Susanna; Lange, Stanislav; Trivisonno, Riccardo; Marquezan, Clarissa; Zinner, Thomas Erich (Chapter, 2021)
      Network operators generally aim at providing a good level of satisfaction to their customers. Diverse application demands require the usage of beyond best-effort resource allocation mechanisms, particularly in resource-constrained ...