{"id":6561,"date":"2025-10-30T12:45:46","date_gmt":"2025-10-30T16:45:46","guid":{"rendered":"https:\/\/lincslab.ca\/?p=6561"},"modified":"2026-02-20T22:41:13","modified_gmt":"2026-02-21T02:41:13","slug":"quantum-aided-active-user-detection-deemah-soumaya","status":"publish","type":"post","link":"https:\/\/lincslab.ca\/fr\/quantum-aided-active-user-detection-deemah-soumaya\/","title":{"rendered":"D\u00e9tection d'utilisateurs actifs assist\u00e9e par la m\u00e9canique quantique pour le syst\u00e8me CD-NOMA \u00e9conome en \u00e9nergie dans les r\u00e9seaux de radio cognitive."},"content":{"rendered":"
\n\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t
\n\t\t\t
<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t

D\u00e9tection d'utilisateurs actifs assist\u00e9e par la m\u00e9canique quantique pour le syst\u00e8me CD-NOMA \u00e9conome en \u00e9nergie dans les r\u00e9seaux de radio cognitive.<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t
\n\t\t\t\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t
\n\t\t\t\t\t
\n\t\t
\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t

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, \u00a0“D\u00e9tection d'utilisateurs actifs assist\u00e9e par la m\u00e9canique quantique pour le syst\u00e8me CD-NOMA \u00e9conome en \u00e9nergie dans les r\u00e9seaux de radio cognitive.<\/a><\/span><\/strong>,” Deemah H. Tashman<\/a> et Prof. Soumaya Cherkaoui<\/a> propose a quantum-enhanced approach<\/strong> for detecting active users in Cognitive Radio Networks – <\/em>a key step in optimizing communication and reducing interference.<\/p>

Their study introduces a Grover-based Quantum Search Algorithm<\/strong> integrated into a Code-Domain Non-Orthogonal Multiple Access (CD-NOMA)<\/strong> framework powered by Wireless Energy Harvesting (WPCN)<\/strong>. The algorithm allows a base station to identify active secondary users with far greater computational efficiency than traditional correlation-based methods.\u00a0By leveraging Grover\u2019s quadratic speedup, the quantum-assisted detector reduces search complexity from O(B)<\/em> pour O(\u221aB)<\/em>, accelerating decision-making and improving network responsiveness. This quantum-assisted detection process significantly enhances network performance while conserving energy, an essential feature for sustainable Cognitive Internet of Things (CIoT)<\/strong> .<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

\n\t\t
\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\"\"\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t

Figure 3 \u2014 Probability of success and energy efficiency versus the SNR at the base station.
<\/strong>Systems with energy harvesting (EH) achieve higher detection success and energy efficiency than those without EH.
(Adapted from\u00a0 \u201cQuantum-Aided Active User Detection for Energy-Efficient CD-NOMA in Cognitive Radio Networks,\u201d IEEE IWCMC 2025.)<\/em><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

\n\t\t\t\t\t
\n\t\t
\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t

Beyond computational gains, the study demonstrates that integrating energy harvesting<\/strong> mechanisms further enhances the sustainability of the system. When secondary users harvest ambient radio frequency energy and use it to transmit data, the overall energy efficiency of the network improves. Simulation results confirm that systems incorporating both quantum detection<\/strong> et energy harvesting<\/strong> achieve higher detection accuracy and better energy utilization, especially in environments with high signal-to-noise ratios.
This research highlights the growing connection between quantum algorithms and next-generation wireless networks<\/strong>, illustrating how quantum search<\/strong> can play a central role in building intelligent, scalable, and energy-efficient communication systems for the CIoTs<\/strong>. As 6G networks move closer to realization, such hybrid quantum-classical models offer a powerful pathway toward more sustainable and adaptive wireless infrastructure.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

\n\t\t
\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\n