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Postal Address
(Letters)
TU Dresden
Vodafone Chair Mobile Communications Systems
01062 Dresden

(Parcels)
TU Dresden
Vodafone Chair Mobile Communications Systems
Helmholtzstr. 10
01069 Dresden

Visit Address
Office complex Falkenbrunnen
Chemnitzer Str. 50
2nd floor,
01187 Dresden

Thesis Topics Thesis Topics

 Thesis Topics

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Diploma Thesis / Master Thesis

Power Allocation in 5G Ad-hoc Mesh Networks

With Ad-hoc mesh networks, a new decentralized communication system has recently emerged which overcomes the need for additional backbone infrastructure. This allows for new ways of communication and many innovative applications for 5G (e.g., off-the-grid messaging, wireless communication for disaster recovery). However, nodes need to perform cooperative tasks under strong constraints in terms of energy resources, lifetime and latency. Power Allocation as a tool to redistribute energy resources in Ad-hoc mesh networks is expected to tremendously reduce outage probability and increase lifetime of the Ad-hoc mesh networks. 


Goal of the thesis:

  • ​Performance analysis of Ad-hoc mesh networks with respect to energy resources distribution for unicast scenarios,
  • Consider novel approaches such as data-gathering Ad-hoc mesh networks,
  • Design of an efficient power-allocation algorithm.
Your Skills:
  • Interested in theoretical work and wireless networks,
  • Basic programming skills in Matlab,
  • Fundamental understanding of mathematics, preferably optimization and information theory. 
Language:
  • German or English.
Project:
This topic is part of the research project “RESCUE”. http://www.ict-rescue.eu/


Contact: Dipl.-Ing. Albrecht Wolf

Student Project / Diploma Thesis / Master Thesis

Machine Learning for Relay Selection in 5G Ad-hoc Mesh Networks

With Ad-hoc mesh networks, a new decentralized communication system has recently emerged which overcomes the need for additional backbone infrastructure. This allows for new ways of communication and many innovative applications for 5G (e.g., off-the-grid messaging, wireless communication for disaster recovery). Both, reliability and spectrum efficiency are important requirements to enable innovative applications. However, a trade-off between both requirements is inevitable. Relay selection based on machine learning as a tool is expected to provide the optimal saturation for reliability and spectrum efficiency in ad-hoc mesh networks.​

Goal of the thesis:​

  • Performance analysis of Ad-hoc mesh networks with respect to relay selection for cooperative communication,
  • Consider novel approaches such as data-gathering Ad-hoc mesh networks,
  • Design of an efficient relay selection method based on machine learning.​
​Your Skills:​

  • Interested in theoretical work and wireless networks,
  • Basic programming skills in Matlab,
  • Fundamental understanding of mathematics, preferably statistical lerning and information theory. 
Language:​
  • German or English.
​Project:​

This topic is part of the research project “RESCUE”. http://www.ict-rescue.eu/​

Contact: Dipl.-Ing. Albrecht Wolf

Student Project

Studies on dynamic coexistence management algorithms for industrial automation

Untersuchungen zu Algorithmen eines dynamischen Koexistenzmanagements für den Einsatz in der Industrieautomation

Im Forschungsprojekt fast automation wird eine Funktechnologie in lizenzfreien Frequenzbändern erforscht und entwickelt, die sich aufgrund extrem niedriger Übertragungslatenzen und hoher Zuverlässigkeit für den Einsatz in der Industrieautomation anbieten soll. Dazu werden an der TU Dresden Algorithmen und Konzepte für ein Koexistenzmanagement mit kooperativer Selbstorganisation erarbeitet. 


Im Rahmen einer Studienarbeit sollen Algorithmen zur Ressourcenallokation ausgewählt und verglichen werden. Dabei sollen eine sehr hohe Zuverlässigkeit sowie die dynamische Adaption an die Umgebung im Mittelpunkt stehen. Darüber hinaus ist die Übertragbarkeit der entsprechenden Architekturansätze auf ein hierarchisches Koexistenzmanagement in Anlehnung an fast automation von Interesse.
Die Studienarbeit umfasst folgende Teilaufgaben:

  • Literaturrecherche zu problembezogenen Algorithmen zur Ressourcenallokation,
  • Auswahl, Implementierung, Dokumentation und Optimierung geeigneter Verfahren,
  • Vergleich im Hinblick auf Zuverlässigkeit und Adaption,
  • Gegenüberstellung der Architekturansätze.

Language: German or English

Contact: Dipl.-Ing. Tom Hößler

Student Project / Diploma Thesis / Master Thesis

Channel Model Framework for Communications Systems in Industrial Environments

For evaluating the performance of different radio air transmission concepts as well as PHY (physical layer) implementation concepts, it is essential to analyze these concepts considering the specific radio propagation characteristics of the operating environments. Therefore, in this work, a flexible channel modelling framework will be developed which can be adapted to different frequency bands and environmental conditions. A special focus is set on channel models for unlicensed frequency bands (below 6 GHz and 60 GHz) which are here used for WLAN-based industrial communications. After the successful implementation of the framework, the results/channel models could be integrated into a laboratory test bed for evaluation of real hardware PHY implementations.

Goal of the thesis:

  • State-of-the-art literature research of existing channel measurements and channel models for industrial environments
  • Design and implementation of a flexible framework for channel model simulation in Matlab
  • Integration of the framework results into a test chain hardware of national instrument (optional)

Your skills:

  • Interested in wireless communications and theoretical work
  • Understanding of radio propagation characteristics (attended MNS I or comparable lectures)
  • Basic programming skills in Matlab
  • First experience with LabVIEW​​

Languages:

  • German or English

Background information/projects:

In order to replace current wired technologies (e.g. fieldbus systems) in industrial communications networks, new radio air interfaces have to be developed which are capable to guarantee the same transmission (Quality of Service) requirements as the already existing wired solutions. The main challenges here come along with very dynamic and time-dispersive behavior of the propagation channels due to the extraordinary characteristics of industrial environments (e.g. excessive multipath scattering effects due to the abundance of many metallic scatterer, moving metallic objects like robots etc.). Therefore, the goal of the research project proWiLAN is to develop new techniques and methods for wireless local area network technologies in order to address the varying demands of different human-to-machine applications (e.g. augmented reality or mobile panel control) for industrial usage. ​

Contact: Dipl.-Ing. Thomas Augustin

Dr.-Ing. Norman Franchi

Student Project / Diploma Thesis / Master Thesis

Investigation of deadlock recovery schemes in Network-on-chip.

Network-on-chip (NoC) is the highly scalable and bandwidth efficient packet-switched communication network for multi-processor systems-on-chip (MPSoCs). It consists of routers connected to each other via links and arranged in any arbitrary topology. The flit is the smallest unit of transmission is the flow control digit flit. The routing algorithm determines the path of the flit over the NoC from the source to the destination. With deterministic routing, the same path is always followed from a source to a destination and is therefore, quite simple to implement. However, in the presence of faulty components or congested links, adaptive routing is more desirable to bypass faulty links or routers or to balance the load the over network. The switching of packets in the NoC router is wormhole, in which a larger message packet is broken down into smaller flits. The header flit always goes first and then the remaining flits follow in a pipeline fashion, resulting in reduced latency as well smaller storage buffers at the routers. With adaptive routing and wormhole switching, it is possible to have deadlock, a situation in which flits are locked in a dependency cycle. Deadlock causes the network to become blocked as flits cannot move forward.

The task of this thesis is to implement and evaluate deadlock recovery schemes for the mesh and hexagonal NoC topology. For this it is necessary to implement a module to detect the presence of deadlock and to resolve it. The cost of the scheme on the overall network performance i.e. increase in average packet latencies will be evaluated via simulations in a cycle-accurate NoC traffic simulator. Moreover, hardware cost estimates in terms of area and achievable frequency of the deadlock resolution unit will also be estimated.

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Contact: M.Sc. EE Sadia Moriam

Diploma Thesis / Master Thesis

Massive MIMO for 5G Cloud Networks

Massive Multiple-Input/Multiple-Output (MIMO) techniques are a hotly discussed topic for 5G mobile networks that will be deployed starting from 2020. In massive MIMO, large antenna arrays with hundreds of antennas are used to increase data rates transmitted to users. At the same time, centralized processing in centralized cloud–based data centers becomes more and more important. The problem in bringing the two together is how to transport the large number of data streams from the massive antenna arrays to the central cloud.

Th​e topic of the thesis is to investigate different techniques to implement massive MIMO under the constraints posed by a cloud-based infrastructure. This can include (based on your personal interests and skills) theoretic analysis, implementation, simulation, as well as case studies. The proposed topic offers the chance to actively participate in a cutting-edge research field with a very high relevance for application in upcoming 5G mobile networks.

Language: German or English
Usefull skills: MATLAB, Communications, Antennas

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Contact: Dipl.-Ing. Jens Bartelt