15 citations · 16 across the 5 of their papers we have counts for
5 papers
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…
End-to-end Learning from Spectrum Data: A Deep Learning approach for Wireless Signal Identification in Spectrum Monitoring applications
Merima Kulin, Tarik Kazaz, Ingrid Moerman +1
This paper presents end-to-end learning from spectrum data - an umbrella term for new sophisticated wireless signal identification approaches in spectrum monitoring applications ba…
Hardware Accelerated SDR Platform for Adaptive Air Interfaces
Tarik Kazaz, Christophe Van Praet, Merima Kulin +2
The future 5G wireless infrastructure will support any-to-any connectivity between densely deployed smart objects that form the emerging paradigm known as the Internet of Everythin…
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…
Demo: WiSCoP - Wireless Sensor Communication Prototyping Platform
Tarik Kazaz, Xianjun Jiao, Merima Kulin +1
To enhance system performance of future heterogeneous wireless networks the co-design of PHY, MAC, and higher layer protocols is inevitable. In this work, we present WiSCoP - a nov…