37 citations · 46 across the 8 of their papers we have counts for
8 papers
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,…
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…
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…
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…
Multi-Static UWB Radar-based Passive Human Tracking Using COTS Devices
Chenglong Li, Emmeric Tanghe, Jaron Fontaine +5
Due to its high delay resolution, the ultra-wideband (UWB) technique has been widely adopted for fine-grained indoor localization. Instead of active positioning, UWB radar-based pa…
Phase-based Variant Maximum Likelihood Positioning for Passive UHF-RFID Tags
Chenglong Li, Emmeric Tanghe, David Plets +6
Radio frequency identification (RFID) technology brings tremendous advancement in Internet-of-Things, especially in supply chain and smart inventory management. Phase-based passive…
A survey on Machine Learning-based Performance Improvement of Wireless Networks: PHY, MAC and Network layer
Merima Kulin, Tarik Kazaz, Ingrid Moerman +1
This paper provides a systematic and comprehensive survey that reviews the latest research efforts focused on machine learning (ML) based performance improvement of wireless networ…
Towards a cognitive MAC layer: Predicting the MAC-level performance in Dynamic WSN using Machine learning
Merima Kulin, Eli de Poorter, Tarik Kazaz +1
Predictable network performance is key in many low-power wireless sensor network applications. In this paper, we use machine learning as an effective technique for real-time charac…