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Quantum-Aided Active User Detection for Energy-Efficient CD-NOMA in Cognitive Radio Networks

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As wireless networks evolve toward the 6G era, they face growing challenges in managing the immense number of connected devices while maintaining energy efficiency and spectrum utilization. In a recent IEEE IWCMC 2025 publication,  “Quantum-Aided Active User Detection for Energy-Efficient CD-NOMA in Cognitive Radio Networks,” Deemah H. Tashman and Prof. Soumaya Cherkaoui propose a quantum-enhanced approach for detecting active users in Cognitive Radio Networks – a key step in optimizing communication and reducing interference.

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Quantum GANs for Smarter Network Anomaly Detection

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As modern communication networks grow in complexity, traditional anomaly detection techniques face challenges in identifying sophisticated threats such as distributed denial-of-service (DDoS) or stealth attacks. In our latest study, we explore how quantum machine learning can offer a new frontier for cybersecurity analytics.

In our recent paper, “Enhancing Network Anomaly Detection with Quantum GANs and Successive Data Injection for Multivariate Time Series”

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Congratulations to Prof. Soumaya and Deemah on their new IWCMC​ 2025 publication

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We extend our warmest congratulations to Prof. Soumaya Cherkaoui and Deemah H. Tashman, PhD fellow at LincsLab, on their recent publication titled:
“Quantum-Aided Active User Detection for Energy-Efficient CD-NOMA in Cognitive Radio Networks”, presented at the 2025 International Wireless Communications and Mobile Computing Conference (IWCMC) and published by IEEE.

Congratulations to Prof. Soumaya and Deemah on their new IWCMC​ 2025 publication Read More »

Photo of D-Wave quantum computer equipped with a quantum annealing processor..

Quantum optimization shows potential as a powerful tool for enhancing resource allocation efficiency in Open Radio Access systems (Open RAN)

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Open Radio Access Networks (Open RAN) are emerging as a key architectural approach in next-generation mobile networks. One of its key capabilities—RAN slicing—enables multiple virtual networks to operate on a shared radio infrastructure.

Quantum optimization shows potential as a powerful tool for enhancing resource allocation efficiency in Open Radio Access systems (Open RAN) Read More »

Best Paper Award at GIIS 2025

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Lincs Lab is proud to announce that our PhD student Patatchona Keyela, in collaboration with Professor Soumaya Cherkaoui, Head of Lincs Lab, have received the Best Paper Award at the 2025 15th Global Information Infrastructure and Networking Symposium (GIIS25). The symposium took place held from February 25 – 27, 2025, in Dubai, UAE, for their paper “Open RAN Slicing with Quantum Optimization”.

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