Cooperative Spectrum Prediction-Driven Sensing for Energy Constrained Cognitive Radio Networks

نویسندگان

چکیده

Spectrum prediction based sensing schemes minimize the overall energy consumption of module in cognitive radio networks (CRNs) by predicting status spectrum before performing actual physical sensing. But, performance independent or local models suffer from inaccuracies. Cooperative mode is found to be suitable overcome issues models. In this work, we propose a cooperative prediction-driven scheme for constrained reduce while maintaining spectral efficiency. The proposed first employs long short term memory network technique perform prediction, which identifies channel improve Thereafter, parallel fusion model applied errors induced model. Finally, resultant combined with framework operation when results an indeterminate state order enhance Simulation show efficacy terms efficiency and compared similar literature.

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ژورنال

عنوان ژورنال: IEEE Access

سال: 2021

ISSN: ['2169-3536']

DOI: https://doi.org/10.1109/access.2021.3057292