Mar 1, 2023 · We propose novel cooperative spectrum sensing (CSS) algorithms for cognitive radio (CR) networks based on machine learning techniques which are ...
In the training stage, the fusion centre combines the local judgments made by CR users by a majority vote, and then returns a final conclusion to every CR user.
In CRNs, SS is of utmost significance. Every CR user generates a sensing report during the training phase beneath various circumstances, and depending on a ...
A Novel Grasshopper Optimization-based Particle Swarm Algorithm for Effective Spectrum Sensing in Cognitive Radio Networks · Ashok J, Sowmia K R, Jayashree K ...
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1. A Novel Grasshopper Optimization-based Particle Swarm Algorithm for Effective Spectrum Sensing in Cognitive Radio Networks · 2. Bi-dimensional Empirical Mode ...
Apr 25, 2024 · A Novel Grasshopper Optimization-based Particle Swarm Algorithm for Effective Spectrum Sensing in Cognitive Radio Networks. KSII Trans ...
A Novel Grasshopper Optimization-based Particle Swarm Algorithm for Effective Spectrum Sensing in Cognitive Radio Networks. S KR, P Vijay. KSII Transactions on ...
Apr 5, 2021 · In this work, the PSO has been proposed for spectrum sensing, and this has shown better performance than the Greedy Algorithm used for the CR ...
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This survey paper provides an in-depth analysis of conventional models and its sensing strategies in cognitive radio networks along with its merits and demerits ...
Spectrum sensing in cognitive radio networks using an ensemble of machine learning frameworks and effective feature extraction. Authors: Rose, Biji | Aruna Devi ...