6 papers
Positioning via Digital-Twin-Aided Channel Charting with Large-Scale CSI Features
José Miguel Mateos-Ramos, José Miguel Mateos-Ramos, Frederik Zumegen +4
Channel charting (CC) is a self-supervised positioning technique whose main limitation is that the estimated positions lie in an arbitrary coordinate system that is not aligned wit…
Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective
Victor Shatov, Steffen Schieler, Charlotte Muth +11
The sixth-generation wireless communications (6G) is often labeled as "connected intelligence". Radio sensing, aligned with machine learning (ML) and artificial intelligence (AI),…
Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks
Guangjin Pan, Kaixuan Huang, Hui Chen +3
Accurate and robust localization is a critical enabler for emerging 5G and 6G applications, including autonomous driving, extended reality (XR), and smart manufacturing. While data…
Physically Parameterized Differentiable MUSIC for DoA Estimation with Uncalibrated Arrays
Baptiste Chatelier, José Miguel Mateos-Ramos, Vincent Corlay +4
Direction of arrival (DoA) estimation is a common sensing problem in radar, sonar, audio, and wireless communication systems. It has gained renewed importance with the advent of th…
Model-Based End-to-End Learning for Multi-Target Integrated Sensing and Communication under Hardware Impairments
José Miguel Mateos-Ramos, Christian Häger, Musa Furkan Keskin +2
We study model-based end-to-end learning in the context of integrated sensing and communication (ISAC) under hardware impairments. Hardware impairments are usually addressed by mea…
Unsupervised Learning for Gain-Phase Impairment Calibration in ISAC Systems
José Miguel Mateos-Ramos, Christian Häger, Musa Furkan Keskin +2
Gain-phase impairments (GPIs) affect both communication and sensing in 6G integrated sensing and communication (ISAC). We study the effect of GPIs in a single-input, multiple-outpu…