Daniel Stolpmann

Daniel Stolpmann
Technische Universität Hamburg | TUHH · Institute of Communication Networks

Master of Science
Machine Learning for Communication Networks, Congestion Control & Active Queue Management, Network Coding

About

4
Publications
52
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
10
Citations

Publications

Publications (4)
Article
Full-text available
When analyzing the impact of a communication system on the Quality of Experience (QoE) of an interactive application, simulation and mathematical modeling typically require reimplementation or modeling of the application under test and only provide insights in terms of selected Key Performance Indicators (KPIs), which raises the need for network em...
Article
Full-text available
Upcoming communication systems increasingly often tackle the spectrum scarcity problem through the coexistence with legacy systems in the same frequency band. Cognitive Radio presents popular methods for Dynamic Spectrum Access (DSA) that enable coexistence. Historically, DSA meant a separation solely in the frequency domain, while in recent years...
Conference Paper
This paper aims to share the experiences during online teaching of two different project-based learning courses at Hamburg University of Technology (TUHH) during the COVID-19 (Corona) pandemic 2020. The success of project-based learning courses relies on how freely and openly students can discuss their task-oriented problems in small teams. The mos...
Conference Paper
Still today, aircraft disappear and crash without communicating their last position. Looking into details, satellite communications currently seems to be the only reliable way to connect and send data on long-distance flights. However, geostationary satellite systems suffer from high propagation delays making Forward Error Correction (FEC) schemes...

Projects

Project (1)
Project
FlowEmu is an open-source network emulator, which is based on the concepts of flow-based programming and allows the user to model a communication system via freely connectable modules that implement different types of impairments, queues and departure processes. It comes with a Python toolchain that supports running experiments in a virtual Docker environment or on a hardware testbed. FlowEmu features a web-based Graphical User Interface (GUI) as well as a Message Queuing Telemetry Transport (MQTT) interface. Via these interfaces, the user can change the structure and parameters of the model at runtime and get real-time statistics.