85 citations · 99 across the 17 of their papers we have counts for
14 papers · 1 filter
NOEMA: Executable Contracts for Learned Wireless Comparisons
Mostafa Naseri, Mohamed Seif, H. Vincent Poor +1
Learning-based wireless research increasingly combines simulation, external model training, and benchmarking. Rebuilding these stages for every experiment is time-consuming, while…
Agentic RF Intelligence: Multi-Timescale 6G Sensing and Reasoning with On-Device Foundation Models
Jaron Fontaine, Jelle De Moerloose, Xander Vanparys +3
Future 6G systems share a central challenge with Physical AI: combining sensing, reasoning, and action on network-edge infrastructure in rapidly changing physical environments unde…
Wireless Physical-Layer Foundation Models: Architectures, Learning Paradigms, Applications, and Deployment
Mohammad Cheraghinia, Davide Buffelli, Liu Li +6
Foundation models, i.e., large neural networks pretrained on broad unlabeled data and adapted to many downstream tasks, have reshaped natural language processing and computer visio…
Tracking the Turn: Mamba-Powered Human Orientation Detection using UWB
Mohammad Cheraghinia, Adnan Shahid, Jaron Fontaine +3
User orientation is crucial for many context-aware applications, including interactive museum experiences, smart door access, and intuitive human-environment interaction. However,…
Towards mm-Level Accurate UWB Radar: High-Accuracy Phase-Based Obstacle Detection through Multi-Channel Fusion
Jelle De Moerloose, Adnan Shahid, Eli De Poorter
Accurate, tag-free distance estimation with ultrawideband (UWB) radar is essential for applications such as autonomous guided vehicles, robotics, and environment characterization.…
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…
Low-cost Embedded Breathing Rate Determination Using 802.15.4z IR-UWB Hardware for Remote Healthcare
Anton Lambrecht, Stijn Luchie, Jaron Fontaine +3
Respiratory diseases account for a significant portion of global mortality. Affordable and early detection is an effective way of addressing these ailments. To this end, a low-cost…
High-Throughput Blind Co-Channel Interference Cancellation for Edge Devices Using Depthwise Separable Convolutions, Quantization, and Pruning
Mostafa Naseri, Eli De Poorter, Ingrid Moerman +2
Co-channel interference cancellation (CCI) is the process used to reduce interference from other signals using the same frequency channel, thereby enhancing the performance of wire…
Deep Learning-Based Image Compression for Wireless Communications: Impacts on Reliability,Throughput, and Latency
Mostafa Naseri, Pooya Ashtari, Mohamed Seif +3
In wireless communications, efficient image transmission must balance reliability, throughput, and latency, especially under dynamic channel conditions. This paper presents an adap…
Removing the need for ground truth UWB data collection: self-supervised ranging error correction using deep reinforcement learning
Dieter Coppens, Ben Van Herbruggen, Adnan Shahid +1
Indoor positioning using UWB technology has gained interest due to its centimeter-level accuracy potential. However, multipath effects and non-line-of-sight conditions cause rangin…
A Comprehensive Overview on UWB Radar: Applications, Standards, Signal Processing Techniques, Datasets, Radio Chips, Trends and Future Research Directions
Mohammad Cheraghinia, Adnan Shahid, Stijn Luchie +6
Due to their large bandwidth, relatively low cost, and robust performance, UWB radio chips can be used for a wide variety of applications, including localization, communication, an…