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Compressive spectrum sensing for 5G cognitive radio networks – LASSO approach

In recent years, the importance of Artificial Intelligence is inevitable for effective performance in communication area. The progressing in standards from beyond 5G networks are compatible gadgets for incorporate wireless communication. Cognitive radio (CR) is a sensible and advanced scientific com...

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Detalles Bibliográficos
Autores principales: Koteeshwari, R.S., Malarkodi, B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9168607/
https://www.ncbi.nlm.nih.gov/pubmed/35677410
http://dx.doi.org/10.1016/j.heliyon.2022.e09621
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author Koteeshwari, R.S.
Malarkodi, B.
author_facet Koteeshwari, R.S.
Malarkodi, B.
author_sort Koteeshwari, R.S.
collection PubMed
description In recent years, the importance of Artificial Intelligence is inevitable for effective performance in communication area. The progressing in standards from beyond 5G networks are compatible gadgets for incorporate wireless communication. Cognitive radio (CR) is a sensible and advanced scientific communication that can effectively handle the radio spectrum applications. Spectrum sensing (SR) is the primary role in CR. In SR, various Wide Band techniques suited for 5G were investigated in this paper. (Least Absolute Shrinkage and Selection Operator) LASSO is the suitable choice for communication in compressive sensing and recovery in wideband 5G networks. The obtained results were correlated with recent report. Further, the relative merit and demerits are discussed significantly.
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spelling pubmed-91686072022-06-07 Compressive spectrum sensing for 5G cognitive radio networks – LASSO approach Koteeshwari, R.S. Malarkodi, B. Heliyon Research Article In recent years, the importance of Artificial Intelligence is inevitable for effective performance in communication area. The progressing in standards from beyond 5G networks are compatible gadgets for incorporate wireless communication. Cognitive radio (CR) is a sensible and advanced scientific communication that can effectively handle the radio spectrum applications. Spectrum sensing (SR) is the primary role in CR. In SR, various Wide Band techniques suited for 5G were investigated in this paper. (Least Absolute Shrinkage and Selection Operator) LASSO is the suitable choice for communication in compressive sensing and recovery in wideband 5G networks. The obtained results were correlated with recent report. Further, the relative merit and demerits are discussed significantly. Elsevier 2022-06-01 /pmc/articles/PMC9168607/ /pubmed/35677410 http://dx.doi.org/10.1016/j.heliyon.2022.e09621 Text en © 2022 Published by Elsevier Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Koteeshwari, R.S.
Malarkodi, B.
Compressive spectrum sensing for 5G cognitive radio networks – LASSO approach
title Compressive spectrum sensing for 5G cognitive radio networks – LASSO approach
title_full Compressive spectrum sensing for 5G cognitive radio networks – LASSO approach
title_fullStr Compressive spectrum sensing for 5G cognitive radio networks – LASSO approach
title_full_unstemmed Compressive spectrum sensing for 5G cognitive radio networks – LASSO approach
title_short Compressive spectrum sensing for 5G cognitive radio networks – LASSO approach
title_sort compressive spectrum sensing for 5g cognitive radio networks – lasso approach
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9168607/
https://www.ncbi.nlm.nih.gov/pubmed/35677410
http://dx.doi.org/10.1016/j.heliyon.2022.e09621
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