6 papers
VaporISAC: Integrated Sensing and Communication via Molecular Signals
Sunasheer Bhattacharjee, Martín Schottlender, Pit Hofmann +3
Conventional electromagnetic (EM)-based integrated sensing and communication (ISAC) systems degrade in cluttered, obstructed, and radio-frequency-hostile environments, while macros…
Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs
Hanlin Cai, Kai Li, Houtianfu Wang +4
Federated fine-tuning (FFT) has emerged as a privacy-preserving paradigm for collaboratively adapting large language models (LLMs). Built upon federated learning, FFT enables distr…
BRAIN: Bayesian Reasoning via Active Inference for Agentic and Embodied Intelligence in Mobile Networks
Osman Tugay Basaran, Martin Maier, Falko Dressler
Future sixth-generation (6G) mobile networks will demand artificial intelligence (AI) agents that are not only autonomous and efficient, but also capable of real-time adaptation in…
XAI-on-RAN: Explainable, AI-native, and GPU-Accelerated RAN Towards 6G
Osman Tugay Basaran, Falko Dressler
Artificial intelligence (AI)-native radio access networks (RANs) will serve vertical industries with stringent requirements: smart grids, autonomous vehicles, remote healthcare, in…
Communicating Smartly in Molecular Communication Environments: Neural Networks in the Internet of Bio-Nano Things
Jorge Torres Gómez, Pit Hofmann, Lisa Y. Debus +10
Recent developments in the Internet of Bio-Nano-Things (IoBNT) are laying the foundation for innovative healthcare applications that envision a network of remotely coordinated nano…
Exhaled Breath Analysis Through the Lens of Molecular Communication: A Survey
Sunasheer Bhattacharjee, Dadi Bi, Pit Hofmann +10
Molecular Communication (MC) has long been envisioned to enable an Internet of Bio-Nano Things (IoBNT) with medical applications, where nanomachines within the human body conduct m…