Insights

Making Open RAN Intelligent: The Role of Machine Learning​

Insights /

O-RAN is fundamentally data-driven. Its intelligent control loops—enabled by its Near-Real-Time and Non-Real-Time RAN Intelligent Controllers (RICs)— support continuous monitoring, closed-loop control, and policy-driven optimization. These capabilities create a natural foundation for machine learning, allowing networks to learn from data, adapt to dynamic conditions, and make informed decisions in real time.

Making Open RAN Intelligent: The Role of Machine Learning​ Read More »

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

Insights /

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.

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

Quantum GANs for Smarter Network Anomaly Detection

Insights /

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”

Quantum GANs for Smarter Network Anomaly Detection 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)

Insights /

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 »

Scroll to Top