Sebastian Lindner

Sebastian Lindner
Technische Universität Hamburg | TUHH · Institute of Communication Networks

M.Sc.

About

11
Publications
1,831
Reads
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228
Citations
Introduction
Machine Learning for communication networks, distributed algorithms, medium access for ad-hoc networks, modeling, optimization
Additional affiliations
September 2018 - present
Technische Universität Hamburg
Position
  • Research Assistant
Description
  • Hold lab exercises in teaching traffic engineering.
May 2018 - present
Technische Universität Hamburg
Position
  • PhD Student
May 2018 - present
Technische Universität Hamburg
Position
  • Research Assistant
Description
  • Hold lab exercises in teaching modeling and analysis of communication networks using simulator software and statistical analysis.
Education
April 2015 - March 2018
Technische Universität Hamburg
Field of study
  • Computer Science
September 2011 - March 2014
Georg-August-Universität Göttingen
Field of study
  • Computer Science

Publications

Publications (11)
Preprint
The OMNeT++ simulator is well-suited for the simulation of randomized user behavior in communication networks. However, there are scenarios, where such a random model is unsuited to evaluate a communication system, and this paper attempts to highlight such a case. Using this example of ad-hoc communication between aircraft mid-flight, a tutorial-st...
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
Full-text available
The Limited Relative Error algorithm is an alternative statistical method for data evaluation. Through online result analysis it continuously requests more samples until it deems the evaluation confident enough. With this it allows researchers to hand over the control of simulation time to the algorithm, and through a-priori configuration the targe...
Conference Paper
Full-text available
At the Hamburg University of Technology, Germany, the modelling of communication networks using the OMNeT++ simulator and the INET framework is taught for Master students. Teaching the concepts of simulation and modelling while letting the students obtain a hands-on experience during a 14-week (4h/week) period (single semester) is a challenging tas...
Article
Full-text available
In this article, we present a user-friendly web interface for two alignment-free sequence-comparison methods that we recently developed. Most alignment-free methods rely on exact word matches to estimate pairwise similarities or distances between the input sequences. By contrast, our new algorithms are based on inexact word matches. The first of th...
Article
Full-text available
MOTIVATION Alignment-free methods for sequence comparison are increasingly used for genome analysis and phylogeny reconstruction; they circumvent various difficulties of traditional alignment-based approaches. In particular, alignment-free methods are much faster than pairwise or multiple alignments. They are, however, less accurate than methods ba...
Conference Paper
Full-text available
Alignment-free methods are increasingly used for genome analysis and phylogeny reconstruction since they circumvent various difficulties of traditional approaches that rely on multiple sequence alignments. In particular, they are much faster than alignment-based methods. Most alignment-free approaches work by analyzing the k-mer composition of sequ...

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Projects

Projects (2)
Project
A distributed approach to medium access organization / resource scheduling for devices in wireless communication networks is investigated. No support of infrastructure (base stations) is given, so devices organize themselves autonomously in a cooperative manner, while co-existence with other communication technologies is possible.
Archived project
We want to evaluate current device-to-device schedulers through system-level simulation in the OMNeT++ simulator with the SimuLTE framework. The simulator needs to be adjusted to do that, especially considering an omniscient approach to scheduling so that an upper performance bound can be investigated and scheduling algorithms can be compared to baseline algorithms (randomly, round robin, ...) and to an optimal solution through linear programming.