Machine Learning for Communication Networks, Congestion Control & Active Queue Management, Network Coding
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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...
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...
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...
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...
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.