11 papers
Optimized Sampling of Angle-Resolved Scatterometry Data Using End-to-End Compressed Learning Model for Nanograss Deficiency Detection
Mehdi Abdollahpour, Carsten Bockelmann, Armin Dekorsy
Reliable inspection of nanosurfaces is essential to ensure the quality of nanostructure manufacturing. Angle-resolved scatterometry provides a non-invasive inspection method that c…
Semantic Communication for Cooperative Multi-Tasking over Rate-Limited Wireless Channels with Implicit Optimal Prior
Ahmad Halimi Razlighi, Carsten Bockelmann, Armin Dekorsy
In this work, we expand the cooperative multi-task semantic communication framework (CMT-SemCom) introduced in [1], which divides the semantic encoder on the transmitter side into…
Integrating Semantic Communication and Human Decision-Making into an End-to-End Sensing-Decision Framework
Edgar Beck, Hsuan-Yu Lin, Patrick Rückert +5
As early as 1949, Weaver defined communication in a very broad sense to include all procedures by which one mind or technical system can influence another, thus establishing the id…
Model-Free Robust Beamforming in Satellite Downlink using Reinforcement Learning
Alea Schröder, Steffen Gracla, Carsten Bockelmann +2
Satellite-based communications are expected to be a substantial future market in 6G networks. As satellite constellations grow denser and transmission resources remain limited, fre…
Semantic Communication for Task Execution and Data Reconstruction in Multi-View Scenarios
Maximilian H. V. Tillmann, Avinash Kankari, Carsten Bockelmann +1
Semantic communication has gained significant attention with the advances in machine learning. Most semantic communication works focus on either task execution or data reconstructi…
Semantic Joint Source Channel Coding for Distributed Subsurface Imaging in Multi-Agent Systems
Maximilian H. V. Tillmann, Ban-Sok Shin, Dmitriy Shutin +1
Multi-agent systems (MASs) are a promising solution for autonomous exploration tasks in hazardous or remote environments. In such settings, communication among agents is essential…