Our research philosophy can be described as “Theory that matters!”. Theoretical fundamental research results are tested using different approaches such as simulations, software in the loop, hardware in the loop, and testbeds. Important, implementations are not merely used to show feasibility, but rather to derive further relevant research questions by exposing theory to the real world.
Our overall research interest is in the field of the upcoming fifth generation of mobile communication systems named 5G. In contrast to the existing 4G networks, 5G will not target the ubiquitous communication among 7 billion humans, but 5G will focus on the control and steering of 500 billion devices knows as the Internet of Things (IoT). The technical requirements for 5G is not only higher throughput (per user and per area), but the low latency for the control and steering in the range of 1ms is the most critical technical requirement. Furthermore as we want to steer and control e.g. robots and cars, security and resilience become even more important. In order to realize those requirements our following research fields are needed to realize the 5G view we develop here at TU Dresden.
Since more than a decade we are working on network coding, which is a versatile coding technique for upcoming dynamic transport and cloud architectures. It is a magic juice for wireless mesh, distributed storage, multipath communication, peer-to-peer networks, and many more. Several testbeds and demonstrators have been built to show the benefits of network coding over the old generation of static end to end codes. We are proud to have our own teaching module solely on network coding together with Professor Jorswieck from TUD and hold occasionally tutorials at ICC with Professor Muriel Medard from MIT.
Compressed sensing is the theory that breaks with the Shannon-Nyquist sampling rates and advocates for signal reconstructions from far fewer samples, by solving sparse under-determined systems under certain conditions. Our vision does not emphasize compressed sensing as a signal processing toolkit but rather an intelligent enabler to reduce the massive amount of data transmissions, especially in wireless sensor networks. Sparsity and incoherence are its crux, and this is guaranteed by the temporal and spatial correlations found by default in such networks.
Cooperation techniques are a powerful tool to boost the performance in communication networks such as relaying, wireless mesh, virtual antenna fields, etc. We are interested in basic rules of cooperation and adopt those mechanisms to communication networks. Besides the well-known wireless mesh networks, we have carried out research in the field of mobile clouds enabling wireless devices to share physically resources.
In contrast to cloud solutions that are placed at the end of the network architecture, here we investigate agile cloud solutions that are constantly moved at the edge of the network close to the user to facility low latency communication in the range of 1ms for control and steering applications. Our solutions are realized in openstack. Learn more about the Mobile Edge Cloud in our white paper.
In the future cloud storage and cloud computing will not only be placed in one single place, it will be distributed over several entities, to save energy, to reduce transmission delays, to improve security, and to increase the reliability of a service. In combination with network coding we are interested in developing solutions for a distributed world.
In most of the aforementioned research topics, we collaborate with Massachusetts Institute of Technology (MIT), Aalborg University (AAU), and Budapest University of Technology and Economics (BUTE). Several projects are carried out with our partners from acticom GmbH, Chocolate Cloud ApS, O&O Software, and Steinwurf ApS.
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Technische Universität Dresden
Faculty of Electrical and Computer Engineering
Institute of Communication Technology
Deutsche Telekom Chair of Communication Networks
01062 Dresden, Germany