News and Announcements

• Open PhD position in Resilient Hybrid Time-sensitive Networks

  November 06, 2025
  We are looking for talented students who want to pursue their PhD studies at the School of Electrical Engineering and Computer Science, TU Berlin, Germany. The positions are part of the Telecommunication Networks group headed by Prof. Falko Dressler. Mission-critical systems, such as in industrial automation, rely on highly resilient, low-latency communication networks. However, current networking solutions - such as time-sensitive networking (TSN) for wired communication and WiFi 7 or 5G for wireless - lack a unified, resilience-centric approach that can withstand impaired link conditions, failures, and cyber-attacks. Accordingly, The Resilient Hybrid Time-sensitive Networks (RESERVE) project aims to ensure reliable end-to-end QoS through seamless hybrid integration that supports real-time, mixed-criticality traffic across wired and wireless links. Hybrid networks will be designed to adapt dynamically to failures, interference, and mobility without compromising service reliability. To enable scalable and adaptive orchestration, centralized, decentralized, and distributed control models will be investigated for resilient reconfiguration. In RESERVE, these objectives will be pursued through analytical modeling, AI-driven optimization, large-scale simulations, and real-world testbeds, leveraging TSN, WiFi 7, and 5G/6G technologies.
  (link to more information)

• Special session in the European Wireless 2025

  October 28, 2025
  
  Dr. Doganalp Ergenc and Prof. Falko Dressler chaired a special session on Resilience in Communication Systems at EW 2025, France. There were six papers presented in the session, addressing different resilience challenges and featuring authors from the Resilient Worlds team. You can access the full list of paper at the EW website.
  

• Paper and Poster Presentation at ACM NanoCom 2025

  October 25, 2025
  
  From October 23 to 25, 2025, the TKN group presented three research talks at the 12th ACM International Conference on Nanoscale Computing and Communication (NanoCom 2025) in Chengdu, China. Sunasheer Bhattacharjee presented his work on the detection of breath abnormalities using molecular communication in Breath Patterns as Signals: A Machine Learning-based Molecular Communication Perspective. Jorge Torres Gómez presented his poster, Programmable Metabolic Disruption in Yeast Cells via Targeted Terahertz Excitation of Enzymes and Lisa Y. Debus presented the new version of our full-body simulation tool in collaboration with the University of Lübeck, MEHLISSA, in our poster MEHLISSA 2.0: Accelerating Full-body Molecular Communication Simulations.
  

• New Elsevier Computer Communications article

  October 16, 2025
  
  Operator Coexistence in IRS-Assisted mmWave Networks: A Wideband Approach Our article has been accepted for publication in Elsevier Computer Communications. Intelligent reconfigurable surfaces (IRSs) present a promising solution to these challenges by enhancing signal coverage and directing reflections, which also contribute to minimize loss. However, there are multiple challenges associated with IRS, which have to be addressed before full incorporation of this technology into existing networks. A key issue arises from the inability of IRS to filter out non-target signals from other frequency bands due to lack of bandpass filtering. In areas where multiple wireless operators are spatially nearby, even if they use different frequency bands, this may cause unwanted reflections that may degrade their communication performances. To address this challenge, we previously proposed a solution, which relied on partitioning an IRS into sub-surfaces (sub_IRS) and dynamically assigning operators to these sub_IRS. Results have shown that a proper assignment of wireless operators to sub_IRS can improve the overall performance compared to a random assignment. In this paper, we introduce a wideband approach, demonstrating that the impact from unwanted reflections can be mitigated by using wideband channels, as the average signal to noise ratio (SNR) across subcarriers is less adversely affected. This approach leverages frequency diversity to reduce SNR variance, as some of the subcarriers may be negatively affected while others benefit, resulting in maintaining a more consistent and robust system performance in the presence of IRS-induced unwanted reflections.
  (link to more information)

• Paper and Poster Presentation at IEEE LCN 2025

  October 15, 2025
  
  Simon Schmitz-Heinen and Sascha Rösler presented our paper Ce-Fi: Centralized Wi-Fi over Packet-Fronthaul and our poster Improving WiFi Ranging Through Frequency Diversity and Mobility at the Conference on Local Computer Networks (LCN), Sydney, Australia. The first work investigates Ce-Fi, a centralized Wi-Fi architecture operating over a packet-based fronthaul (FH) connecting the central unit with the remote radio heads. Ce-Fi employs a two-level design with two bands: the network discovery and user association is handled standard compliantly on one band while another band is used for the actual data transmission with the centralized Wi-Fi. To tolerate the FH-induced delay, we propose minor changes to the 802.11 medium access control protocol like NAV extension and the usage of a piggybacking mechanism enabling the C-RAN-AP to transmit without prior channel contention. The poster presents HopFTM to enhance FTM ranging accuracy by leveraging frequency diversity and space diversity through mobility. Specifically, HopFTM performs ranging on multiple radio channels. Additionally, in a mobile scenario, ranging is performed at multiple locations. Our experimental results using low-cost ESP32-S3 hardware reveal that selecting the smallest RTT value from all measured channels significantly improves accuracy, especially in environments with strong multi-path effects or non-line-of-sight conditions. In a static scenario by using the smallest RTT from four channels, we were able to reduce the median ranging error by 4× from 120 cm to 30 cm while the worst-case error was decreased from 15 m to 10 m, compared to traditional single-channel approach. In a mobile scenario, ranging measurements taken at different locations outside the decorrelation distance can also be fused. Our simulation shows that taking the smallest RTT value over multiple positions can improve FTM ranging error from 1.8 m to 0.76 m.
  

• Youming Tao just defended his PhD - congratulations!

  October 13, 2025
  
  Youming Tao successfully defended his PhD on October 13, 2025. His dissertation is titled "Trustworthy Collaborative Machine Learning for Edge AI: Privacy, Unlearning, and Robustness". He was awarded a Dr.-Ing. degree (with distinction) from TU Berlin.
  (link to more information)

• TKN/CCS at NetSys 2025

  September 04, 2025
  
  The TKN team together with CCS alumni met at NetSys 2025. We had a very successful conference, presenting recent reseaerch results, receiving as many as four awards, and meeting lots of friends and collaborators.
  

• Awards and Presentations at NetSys 2025

  September 03, 2025
  
  The TKN team received multiple awards for best bachelor and master theses from the German GI/ITG SIG on Communication and Distributed Systems. In addition, team members gave highlight talks on hot topics in networking and communications at NetSys 2025. Rebecca C. Pampu received a best thesis award for her Bachelor thesis Identification of the Signal Source among Multiple Simultaneous Senders in an Air-based Molecular Communication Channel. Isabel von Stebut received a best thesis award for her Bachelor thesis Resilience through Cross-Technology-Communication. Lisa Y. Debus received a best thesis award for her Master thesis Decoding Media Modulation Sharply: A Reinforcement Learning-based Receiver. Youming Tao presented a highlights talk of our recent paper Communication Efficient and Provable Federated Unlearning. Anatolij Zubow presented a highlights talk of our recent paper Hybrid-Fidelity: Utilizing IEEE 802.11 MIMO for Practical Aggregation of LiFi and WiFi.
  

• Best Paper Award at ReNeSys 2025

  September 01, 2025
  
  Our team member Sascha Rösler received a Best Paper Award for our paper Robust LoRa via Repetition in Frequency through Signal Emulation using WiFi at teh 1st Workshop on Resilient Networks and Systems (ReNeSys 2025).
  

• ReNeSys 2025 at NetSys

  September 01, 2025
  
  Dr. Doganalp Ergenc organized the 1st Workshop on Resilient Networks and Systems (ReNeSys), held in conjunction with NetSys 2025 in Ilmenau. The workshop featured several engaging presentations from the authors of accepted papers, complemented by two keynote talks that offered inspiring insights into the security and resilience of next-generation networks. You can visit the workshop website for more details!
  

Load all older news