November 13, 2025Journal of Sensor and Actuator NetworksOpen Access

Spectrum Sensing in Cognitive Radio Internet of Things: State-of-the-Art, Applications, Challenges, and Future Prospects

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Authors

ARAkeem Abimbola RajiOlabisi Onabanjo University TOThomas O. Olwal ARAkeem Abimbola RajiOlabisi Onabanjo University

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Implication

Comprehensive review reveals spectrum sensing challenges in cognitive radio for IoT, suggesting deep reinforcement learning may enhance detection accuracy.

Key Points

Spectrum sensing improves spectrum utilization in cognitive radio networks, especially for IoT applications.
Current spectrum sensing techniques struggle in noisy channels, needing innovative solutions.
Review of cognitive radio spectrum sensing techniques emphasizes the challenges faced in 5G environments.
Calls for future research to address spectrum sensing issues in rapidly evolving IoT networks.

Cite This Study

Raji et al. (2025) studied this question.

synapsesocial.com/papers/692523b2c0ce034ddc35478c https://doi.org/10.3390/jsan14060109

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Implication

Comprehensive review reveals spectrum sensing challenges in cognitive radio for IoT, suggesting deep reinforcement learning may enhance detection accuracy.

Spectrum Sensing in Cognitive Radio Internet of Things: State-of-the-Art, Applications, Challenges, and Future Prospects

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Implication

Key Points

Cite This Study

Spectrum Sensing in Cognitive Radio Internet of Things: State-of-the-Art, Applications, Challenges, and Future Prospects

Discussion

Member takes

Implication

Key Points

Cite This Study

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