News and Announcements

• New BMFTR project SIX-BRICC

  November 02, 2026
  We are happy to be part of SIX-BRICC - 6G-in-a-Box for Resilient Incident Critical Communication. In this project, we will explore a resilient mobile 6G-in-a-Box system for emergency medical operations.
  (link to more information)

• Poster at MobiCom AI-RAN Workshop 2026

  October 30, 2026
  
  Our team member Osman Tugay Basaran presented our research at the 32th ACM International Conference on Mobile Computing and Networking (MobiCom 2026) in Austin, Texas, during the 3rd ACM Workshop on Open and AI-RAN. Our paper, "VeriRAN: Explainable and Runtime-Verified Multi-Agent Control for Trustworthy AI-RAN", introduces a GPU-accelerated framework that combines parallel multi-agent control loops with formal runtime verification to enforce deterministic safety guardrails in real-time radio access networks.
  (link to more information)

• Demo at MobiCom 2026

  October 29, 2026
  
  Our team member Christos Laskos presented a live demonstration at 30th ACM International Conference on Mobile Computing and Networking (MobiCom 2026) in Austin, Texas; connected to the TU Berlin laboratory, where team member Joana Angjo operated the experimental setup. The demo, "Now You See It! RIS-Assisted mmWave Radar for NLOS Sensing", showed how a reconfigurable intelligent surface (RIS) can redirect 28 GHz radar signals around an obstruction to detect a target outside the radar’s direct line of sight.
  (link to more information)

• Paper Presentation at MSWiM 2026

  October 28, 2026
  
  Atefeh Rezaei presented our paper “Mobility-Aware Interference-Coupled ISAC for Energy-Efficient Multi-Vehicle Tracking” at the 28th IEEE International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM 2026) in Paris, France. This work proposes a mobility-aware integrated sensing and communications (ISAC) framework for millimeter-wave vehicle-to-infrastructure networks that leverages multi-vehicle tracking to enable predictive beamforming.
  (link to more information)

• New IEEE Internet of Things Journal article

  October 27, 2026
  
  Our article AoI-FusionNet: Age-Aware Tightly Coupled Fusion of UWB-IMU under Sparse Ranging Conditions has been accepted for publication in IEEE Internet of Things Journal. Accurate motion tracking of snow particles in avalanche events requires robust localization in global navigation satellite system (GNSS)-denied outdoor environments. This paper introduces AoI-FusionNet, a tightly coupled deep-learning-based fusion framework that directly combines raw ultra-wideband (UWB) time of flight (ToF) measurements with inertial measurement unit (IMU) data for 3D trajectory estimation. Unlike loose-coupled pipelines based on intermediate trilateration, the proposed approach operates directly on heterogeneous sensor inputs, thereby enabling localization even under insufficient ranging availability. This framework integrates an age of information (AoI)-aware decay module to reduce the influence of stale UWB range measurements and a learned attention gate mechanism that adaptively balances trust between UWB and IMU modalities as a function of measurement availability and temporal freshness. To evaluate performance under limited training data and measurement variability, a diffusion-based residual augmentation strategy is applied during training, producing an augmented variant termed AoI-FusionNet-DGAN. Performance of the proposed model is assessed using offline post-processing of real-world measurement data from an alpine environment and benchmarked against geometric, model-based, learning-based, and tightly coupled UWB-IMU fusion baselines.The results demonstrate that AoI-FusionNet substantially reduces mean and tail localization errors under intermittent and degraded sensing conditions.
  (link to more information)

• Keynote at 6G Resilience Summit 2026

  October 27, 2026
  
  Falko Dressler gave a keynote titled Communication and Computing for Resilient 6G Networks at the 6G Resilience Summit 2026.
  (link to more information)

• New IEEE Transactions on Mobile Computing article

  October 08, 2026
  
  Our article Byzantine-Resilient Collaborative Learning in Heterogeneous Resource-Adaptive Systems has been accepted for publication in IEEE Transactions on Mobile Computing. Collaborative learning across heterogeneous resource-adaptive systems has emerged as a promising paradigm for enabling large-scale edge intelligence. However, the heterogeneity of resources and model components often leads to inconsistent optimization behaviors among participants, which makes the learning process highly sensitive to unreliable or even malicious nodes. To tackle this challenge, we propose a novel Byzantine Resilient Collaborative Learning algorithm (BRCL), which achieves Byzantine robustness while adapting to the dynamic and resource-constrained nature of heterogeneous environments. The proposed BRCL framework integrates adaptive resource scheduling with robust aggregation to maintain learning efficiency under adversarial conditions. We theoretically prove the asymptotically optimal convergence rate. Extensive experiments on multiple learning tasks demonstrate that BRCL consistently outperforms state-of-the-art methods, achieving at least a 4.2% improvement in accuracy on average, while preserving robustness and resource efficiency in heterogeneous edge systems.
  (link to more information)

• KuVS Research School on Network and System Resilience

  October 02, 2026
  
  Our group member Dr. Doganalp Ergenc organized the KuVS Research School on Network and System Resilience in the context of the DFG priority program, Resilient Worlds! For three days, early-career researchers from several universities gave lightning talks, attended keynotes and mini-courses by leading experts, and joined hackathons. Our group head Prof. Falko Dressler also gave a keynote on resilient edge computing.
  (link to more information)

• New IEEE Transactions on Mobile Computing article

  September 26, 2026
  
  Our article Distributed Fast and Fair Physical-to-Virtual Communications in Digital Twin Edge Networks has been accepted for publication in IEEE Transactions on Mobile Computing. Physical-to-Virtual Communication (PTVC) is essential for Digital Twin Edge Networks (DITENs) to synchronize physical objects with their digital twins. In practice, update messages from physical objects to their digital twins often have different priorities based on their urgency, necessitating priority-aware scheduling to ensure that critical messages are updated with low latency. While existing approaches can achieve fairness by collecting global priority information and solving optimization problems, when the number and priorities of nodes change, it takes substantial communication resources to timely update the global priority information in large-scale edge networks. To address these limitations, we propose DFF-PTVC, a fully distributed fast and fair communication algorithm where each end node makes scheduling decisions without requiring knowledge of other nodes’ priorities. Through an edge-end collaborative framework, the edge server adaptively broadcasts a meta probability to manage channel contention, while each end node autonomously determines its transmission probability by combining the meta probability with its local priority. We rigorously prove that DFF-PTVC achieves asymptotically optimal throughput of Ω(1), guarantees expected latency of O(Kn/k) for messages with priority k, and ensures weighted fairness, where n is the number of end nodes and K is the upper bound of message priority. We further develop DFF-PTVC-DRL, a deep reinforcement learning variant for enhanced performance when the edge server has sufficient computational resources. Extensive simulations demonstrate that our distributed algorithms, using only local priority information, achieve performance within a small constant factor of the centralized optimal solution that requires global network knowledge.
  (link to more information)

• TKN Team at ACM NanoCom 2026

  September 23, 2026
  
  Our team presented their research at the 13th ACM International Conference on Nanoscale Computing and Communication (NanoCom 2026) at Memorial University in St. John's, Canada. Sunasheer Bhattacharjee presented our paper on breath pattern classification using machine learning in Breath-Source Localization in Air-Based Molecular Communication: A Learning-Driven Proof-of-Concept. Jorge Torres Gómez lead a tutorial session on Artificial Intelligence in Microfluidic Circuits: From Theory to Hands-On Design. Lisa Y. Debus presented our poster on the simulation of the HPA axis for health digital twins in Full-Body Particle Simulation of the HPA Axis: Comparison to Mathematical Models and Experimental Results.
  

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