8 papers
Reasoning Meets Representation: Envisioning Neuro-Symbolic Wireless Foundation Models
Jaron Fontaine, Mohammad Cheraghinia, John Strassner +2
Recent advances in Wireless Physical Layer Foundation Models (WPFMs) promise a new paradigm of universal Radio Frequency (RF) representations. However, these models inherit critica…
Lightweight Foundation Model for Wireless Time Series Downstream Tasks on Edge Devices
Mohammad Cheraghinia, Eli De Poorter, Jaron Fontaine +3
While machine learning is widely used to optimize wireless networks, training a separate model for each task in communication and localization is becoming increasingly unsustainabl…
UWB TDoA Error Correction using Transformers: Patching and Positional Encoding Strategies
Dieter Coppens, Adnan Shahid, Eli De Poorter
Despite their high accuracy, UWB-based localization systems suffer inaccuracies when deployed in industrial locations with many obstacles due to multipath effects and non-line-of-s…
A Unified Foundation Model for Wireless Technology Recognition and Localization
Mohammad Cheraghinia, Eli De Poorter, Jaron Fontaine +2
Wireless Technology Recognition (WTR) and localization are essential in modern communication systems, enabling efficient spectrum management, seamless coexistence of diverse techno…
Large-Scale AI in Telecom: Charting the Roadmap for Innovation, Scalability, and Enhanced Digital Experiences
Adnan Shahid, Adrian Kliks, Ahmed Al-Tahmeesschi +132
This white paper discusses the role of large-scale AI in the telecommunications industry, with a specific focus on the potential of generative AI to revolutionize network functions…
Bluetooth Low Energy Dataset Using In-Phase and Quadrature Samples for Indoor Localization
Samuel G. Leitch, Qasim Zeeshan Ahmed, Ben Van Herbruggen +5
One significant challenge in research is to collect a large amount of data and learn the underlying relationship between the input and the output variables. This paper outlines the…