TU Berlin

Department of Telecommunication SystemsJohannes Dommel, Dipl.-Ing.

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Johannes Dommel, Dipl.-Ing.


Johannes Dommel was born in Lübben (Spreewald), German Democratic Republic, in 1984. He received the Dipl.-Ing. degree in Electrical Engineering from the Technische Universität Ilmenau, Germany, in 2010. He joined the Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute (HHI), Berlin, in 2010.

Since then, he is involved in national- and international research projects in the field of wireless communications ("5G and beyond") and standardization (3GPP Rel.15/16) as a research associate and project manager (PMP). Currently, his work focusses on Industrial NB-IoT and Non-Orthogonal Multiple Access (NOMA).

His research interests includes the application of information theory, digital signal processing and optimization in wireless communication systems, where he is working towards his PhD since 2016.


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Joint Source-Channel Coding for Semantics-Aware Grant-Free Radio Access in IoT Fog Networks
Citation key Jo2021SPL
Author J. Dommel, Z. Utkovski, O. Simeone and S. Stanczak
Year 2021
Journal IEEE Signal Processing Letters
Abstract A fog-radio access network (F-RAN) architecture is studied for an Internet-of-Things (IoT) system in which wireless sensors monitor a number of multi-valued events and transmit in the uplink using grant-free random access to multiple edge nodes (ENs). Each EN is connected to a central processor (CP) via a finite-capacity fronthaul link. In contrast to conventional information-agnostic protocols based on separate source-channel (SSC) coding, where each device uses a separate codebook, this paper considers an information-centric approach based on joint source-channel (JSC) coding via a non-orthogonal generalization of type-based multiple access (TBMA). By leveraging the semantics of the observed signals, all sensors measuring the same event share the same codebook (with non-orthogonal codewords), and all such sensors making the same local estimate of the event transmit the same codeword. The F-RAN architecture directly detects the events values without first performing individual decoding for each device. Cloud and edge detection schemes based on Bayesian message passing are designed and trade-offs between cloud and edge processing are assessed.
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