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Author

M. Al-Shalout

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Conference Aug 2026

Quantum Reinforcement Learning Assisted Spectrum Allocation Framework for Sixth Generation Networks

The Sixth Generation (6G) wireless networks are projected to enable ultra-dense connectivity, very high rates of data transmission, and dynamic use of spectrum and need smart and dynamic spectrum assignment. The classic spectrum allocation and classical reinforcement learning algorithms are not as effective as the comp...

K. Kannan, M. Al-Shalout, T. S. Valarmathi et al. · 1 citation
Conference Aug 2026

Quantum Reinforcement Learning Driven Adaptive Resource Allocation for Internet of Things Devices

The high rate of Internet of Things (IoT) networks development has posed a serious problem of effective resource allocation because devices are heterogeneous, the traffic conditions are dynamic, and the energy and latency requirements are severe. Traditional resource allocation methods and classical reinforcement learn...

A.Mohan Kumar, M. Al-Shalout, M. Elakiya et al. · 0 citations

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