Advances in Machine Learning-Driven Cognitive Radio for Wireless Networks: A Survey

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[HTML][HTML] Cognitive radio and machine learning modalities for enhancing the smart transportation system: A systematic literature review

MYI Idris, I Ahmedy, TK Soon, M Yahuza, AB Tambuwal… - ICT Express, 2024 - Elsevier
Smart transportation systems implemented through vehicular ad hoc networks (VANET) offer
significant potential to improve safety. However, the network faces critical challenges related …
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Deep Reinforcement Learning for Joint Power Control and Access Coordination in Energy Harvesting CIoT

NA Khalek, N Abdolkhani… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
The Internet of Things (IoT) has attracted a lot of interest owing to its various applications.
Cognitive IoT (CIoT) networks utilize cognitive radio (CR) technology to relieve spectrum …
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Maximizing Reliability in Overlay Radio Networks With Time Switching and Power Splitting Energy Harvesting

DH Tashman, S Cherkaoui… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Cognitive radio networks (CRNs) are acknowledged for their ability to tackle the issue of
spectrum under-utilization. In the realm of CRNs, this paper investigates the energy …
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Federated Learning-based Collaborative Wideband Spectrum Sensing and Scheduling for UAVs in UTM Systems

SR Chintareddy, K Roach, K Cheung… - arXiv preprint arXiv …, 2024 - arxiv.org
In this paper, we propose a data-driven framework for collaborative wideband spectrum
sensing and scheduling for networked unmanned aerial vehicles (UAVs), which act as the …
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Securing Next-Generation Networks against Eavesdroppers: FL-Enabled DRL Approach

DH Tashman, S Cherkaoui - 2024 International Wireless …, 2024 - ieeexplore.ieee.org
Anticipated advancements in 5G wireless networks and beyond would necessitate an
increased emphasis on security measures to accommodate the projected rise in demand for …
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