Telecommunication Networks (TKN)

Welcome to the Telecommunication Networks group (TKN) at the School of Electrical Engineering and Computer Science, TU Berlin. TKN is coordinated by Falko Dressler. TKN is also part of CCS Labs.

Our research objectives include next generation wireless communication systems including 5G/6G, mmWave, and terahertz; joint communication and sensing using WiFi and modern channel sounding techniques; and in-body and air-based molecular communication. These telecommunication concepts are complemented by distributed machine learning and edge computing for improved resiliency. Application domains include the internet of things, cyber-physical systems, and the internet of bio-nano-things. Read more on our research focus...

  • Jobs
    open positions
  • Research
    research vision and objectives, meetings
  • Projects
    ongoing and finished research projects
  • Software
    software and tools
  • Team
    group members
  • Publications
    reviewed papers in journals and conferences
  • Teaching
    teaching activities, lectures and seminars
  • Theses
    bachelor and master's theses

Relevant textbooks

Selected Publications

  • Sigrid Dimce and Falko Dressler, "Survey on Coherent Multiband Splicing Techniques for Wideband Channel Characterization," IET Communications, vol. 18 (19), pp. 1319–1334, December 2024. [DOI, BibTeX, PDF, More details]
  • Saswati Pal, Jorge Torres Gómez, Regine Wendt, Stefan Fischer and Falko Dressler, "Age of Information-based Abnormality Detection with Decay in the Human Circulatory System," IEEE Transactions on Molecular, Biological and Multi-Scale Communications, vol. 10 (3), pp. 487–492, September 2024. [DOI, BibTeX, PDF, More details]
  • Mengfan Wu, Mate Boban and Falko Dressler, "Flexible Training and Uploading Strategy for Asynchronous Federated Learning in Dynamic Environments," IEEE Transactions on Mobile Computing, vol. 23 (12), pp. 12907–12921, December 2024. [DOI, BibTeX, PDF, More details]
  • Youming Tao, Shuzhen Chen, Congwei Zhang, Di Wang, Dongxiao Yu, Xiuzhen Cheng and Falko Dressler, "Private Over-the-Air Federated Learning at Band-Limited Edge," IEEE Transactions on Mobile Computing, vol. 23 (12), pp. 12444–12460, December 2024. [DOI, BibTeX, PDF, More details]
  • Jorge Torres Gómez, Jennifer Simonjan and Falko Dressler, "Low-Complex Synchronization Method for Intra-Body Links in the Terahertz Band," IEEE Journal on Selected Areas in Communications, vol. 42 (8), pp. 1967–1977, August 2024. [DOI, BibTeX, PDF, More details]
  • Michele Polese, Mischa Dohler, Falko Dressler, Melike Erol-Kantarci, Rittwik Jana, Raymond Knopp and Tommaso Melodia, "Empowering the 6G Cellular Architecture with Open RAN," IEEE Journal on Selected Areas in Communications, vol. 42 (2), pp. 245–262, February 2024. [DOI, BibTeX, PDF, More details]
  • Kai Li, Yingping Cui, Weicai Li, Tiejun Lv, Xin Yuan, Shenghong Li, Wei Ni, Meryem Simsek and Falko Dressler, "When Internet of Things meets Metaverse: Convergence of Physical and Cyber Worlds," IEEE Internet of Things Journal, vol. 10 (5), pp. 4148–4173, March 2023. [DOI, BibTeX, PDF, More details]
  • Falko Dressler, "Physical Layer Resilience through Deep Learning in Software Radios: Technical Perspective," Communications of the ACM, vol. 65 (9), pp. 82–82, September 2022. [DOI, BibTeX, More details]
  • Szymon Szott, Katarzyna Kosek-Szott, Piotr Gawłowicz, Jorge Torres Gómez, Boris Bellalta, Anatolij Zubow and Falko Dressler, "Wi-Fi Meets ML: A Survey on Improving IEEE 802.11 Performance with Machine Learning," IEEE Communications Surveys & Tutorials, vol. 24 (3), pp. 1843–1893, July 2022. VDE ITG Preis 2023 [DOI, BibTeX, PDF, More details]
  • Falko Dressler, Carla Fabiana Chiasserini, Frank H. P. Fitzek, Holger Karl, Renato Lo Cigno, Antonio Capone, Claudio Ettore Casetti, Francesco Malandrino, Vincenzo Mancuso, Florian Klingler and Gianluca A. Rizzo, "V-Edge: Virtual Edge Computing as an Enabler for Novel Microservices and Cooperative Computing," IEEE Network, vol. 36 (3), pp. 24–31, May 2022. [DOI, BibTeX, PDF, More details]
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