News and Announcements

• Paper Presentations at IEEE VNC 2025

  June 03, 2025
  
  Marie-Christin H. Oczko presented our paper Explainable LSTM-Based Cyclist Intention Prediction at Intersections. In this paper, we propose a bidirectional, stacked LSTM intention prediction model utilizing real-world smartphone cycling traces. We show that even imprecise GPS data are sufficient to predict right turns, and straight-going traces with a certainty of 90 % 45 m, and left turns 28 m before the intersection center, resulting in recognizing even the intention of the fastest cyclist in the data set 4.19 s before reaching the center. Agon Memedi presented our poster Simulator for Reinforcement Learning-based Resource Management in Vehicular Edge Computing. In this poster, we present an open-source, modular, lightweight, discrete-event simulation framework which integrates state-of-the-art tools for improved performance evaluation. By integrating realistic mobility traces, our approach presents an opportunity to evaluate the performance and scalability of different RL-based task scheduling and resource allocation policies in diverse scenarios. Both works were presented at the 16th IEEE Vehicular Networking Conference (VNC 2025), which was held in Porto, Portugal.
  

• Open PhD position in Nano Communications

  May 30, 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. Conventional wireless communication systems are based on radio frequency waves. Even though perfectly suited for classic telecommunication tasks, communicating nodes of nano- or micro-scale size, possibly interfacing with biological cells, and/or operating in challenging environments (e.g., liquids) need to employ alternative communication paradigms and technologies like molecular communication. In the IoBNT project, we will investigate and develop a communication system targeting precision medicine and microscale industrial applications. The IoBNT is tailored to coordinate monitoring and actuation in the human body through a communication platform that also connects nanodevices and external gateways. The IoBNT will integrate radio, ultrasonic, and molecular communication schemes in the context of 6G+ wireless networks. The candidate is expected to contribute to these ongoing research activities in the scope of the ongoing projects IoBNT and NaBoCom.
  (link to more information)

• Session on Machine Learning for IoBNT at IEEE ICMLCN 2025

  May 28, 2025
  
  Our team member Jorge Torres Gómez co-chaired a special session on Machine Learning and IoBNT networks. The session took place at the IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN 2025), Barcelona, Spain. The session explored the most recent work on applying machine learning methods to advance potential applications in IoBNT networks further. Speakers targeted various applications, including monitoring biomarkers in human vessels, location estimation of cancer cells, and plant monitoring. The authors elaborated on the training and deployment of deep learning architectures like convolutional networks, feed-forward neural networks, and autoencoders. We expect also your work on the next edition of the ICMLCN conference.
  

• Paper Presentation at IEEE ICMLCN 2025

  May 28, 2025
  
  Osman Tugay Basaran presented our paper paper XAI-Enhanced Bilateral Molecular Communication: Revealing Cancer Microenvironment Dynamics via Extracellular Tumor Vesicles at the IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN 2025), which was held in Barcelona, Spain. In this study, we present a neural network model designed to accurately estimate intercellular distances within the tumor microenvironment by analyzing the dynamics of extracellular vesicles (EVs). Additionally, we integrate advanced explainable AI (XAI) methods to reveal critical biological insights and ensure the transparency of AI-driven predictions.
  (link to more information)

• New IEEE Journal on Selected Areas in Communications article

  May 27, 2025
  
  Our article Coordinated Spatial Reuse Scheduling With Machine Learning in IEEE 802.11 MAPC Networks has been accepted for publication in IEEE Journal on Selected Areas in Communications. The densification of Wi-Fi deployments means that fully distributed random channel access is no longer sufficient for high and predictable performance. Therefore, the upcoming IEEE 802.11bn amendment introduces multi-access point coordination (MAPC) methods. This paper addresses a variant of MAPC called coordinated spatial reuse (C-SR), where devices transmit simultaneously on the same channel, with the power adjusted to minimize interference. The C-SR scheduling problem is selecting which devices transmit concurrently and with what settings. We provide a theoretical upper bound model, optimized for either throughput or fairness, which finds the best possible transmission schedule using mixed-integer linear programming. Then, a practical, probing-based approach is proposed which uses multi-armed bandits (MABs), a type of reinforcement learning, to solve the C-SR scheduling problem.
  (link to more information)

• Poster presentation at IEEE INFOCOM 2025

  May 21, 2025
  
  Sascha Rösler presented our poster Mute the Immutable - Making WiFi-to-LoRa CTC Robust Against WiFi Selective Jamming at the 44th IEEE International Conference on Computer Communications (INFOCOM 2025), which was held in London, UK.
  (link to more information)

• Keynote at IEEE ICCN 2025

  May 19, 2025
  
  Falko Dressler gave a keynote titled Cross-Technology Communication and Network Coding: A Great Team for Resilient Communication at IEEE INFOCOM International Workshop on Intelligent Cloud Computing and Networking (ICCN 2025), which was held in London, UK.
  (link to more information)

• Paper presentation at IEEE DTWIN 2025

  May 19, 2025
  
  Osman Tugay Basaran presented our paper Gen-TWIN: Generative-AI-Enabled Digital Twin for Open Radio Access Networks at the 2025 INFOCOM Workshop Digital Twins over NextG Wireless Networks (DTWin 2025), which was held in London, UK. In this work, we introduce a novel approach that merges a soft-attention LSTM-based GAN with Digital Twin technology in O-RAN settings. By generating realistic, high-quality synthetic RF data, we address the ever-present issue of data scarcity in advanced RAN development.
  (link to more information)

• Research Talk at Bogazici University

  May 14, 2025
  
  Our team member Jorge Torres Gómez gave the research talk “nanoAI: Communicating Smartly at the Nanoscale” at Bogazici University, Istanbul, Turkey. The talk explored the growing integration of AI in Molecular Communication systems, highlighting key developments such as in-network deployment, explainability, and dataset creation.
  

• Paper Presentations at WMC 2025

  April 11, 2025
  
  The TKN group presented three research talks at the 9th Workshop on Molecular Communications 2025. Sunasheer Bhattacharjee presented the idea of detecting exhaled breath biomarkers and their potential to identify human health anomalies through the lens of molecular communication. Saswati Pal introduced a machine learning-based approach for localizing infection sources in the cardiovascular system, showing that realistic physiological modeling improves accuracy and generalization. Lisa Y. Debus illustrated the importance of the experimental assessment of theoretical solutions with our evaluation of the influence of water, blood substitute, and blood as the background flow medium in magnetic nanoparticle-based molecular communication.
  

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