Spectrum Sensing Using Software Defined Radio for Cognitive Radio Networks: A Survey
Cognitive radio (CR) network has emerged as a potential solution to the under-utilization problem of the allocated radio spectrum, where spectrum sensing (SS) plays a key role to enable the coexistence between primary and secondary users. It has attracted research interests, and several works have b...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9989359/ |
| _version_ | 1797978311798816768 |
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| author | Julio Manco Iyad Dayoub Amor Nafkha Mohammad Alibakhshikenari Hayfa Ben Thameur |
| author_facet | Julio Manco Iyad Dayoub Amor Nafkha Mohammad Alibakhshikenari Hayfa Ben Thameur |
| author_sort | Julio Manco |
| collection | DOAJ |
| description | Cognitive radio (CR) network has emerged as a potential solution to the under-utilization problem of the allocated radio spectrum, where spectrum sensing (SS) plays a key role to enable the coexistence between primary and secondary users. It has attracted research interests, and several works have been reported in the literature. Nevertheless, the assumptions and simplifications introduced during the modeling of the communication system often yield misleading conclusions each time relevant aspects of their implementation on a testbed are omitted. Hence, prototypes are built to study their behaviour under real-world conditions, therefore software defined radio (SDR) has emerged as an ideal vehicle to allow researchers to experiment with prototypes of these CR approaches. In this survey, we provide an overview of the latest works in CR networks related to the spectrum awareness approaches and taking into account their implementation on testbeds. These approaches are classified from a practical point of view, where a detailed review of the existing works for each category is provided. A review of the existing SDR platforms is also exposed highlighting the main components and features of current architectures employed for experimental evaluation of CR approaches. Next, the challenges to implement current spectrum awareness approaches on SDR platforms are detailed. Finally, at the light of these reviews, research challenges and open issues are identified for future research directions. |
| first_indexed | 2024-04-11T05:22:06Z |
| format | Article |
| id | doaj.art-bed7cc5cb4004945927a1a096014217f |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-11T05:22:06Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-bed7cc5cb4004945927a1a096014217f2022-12-24T00:00:54ZengIEEEIEEE Access2169-35362022-01-011013188713190810.1109/ACCESS.2022.32297399989359Spectrum Sensing Using Software Defined Radio for Cognitive Radio Networks: A SurveyJulio Manco0https://orcid.org/0000-0002-7980-7629Iyad Dayoub1https://orcid.org/0000-0003-0910-4722Amor Nafkha2https://orcid.org/0000-0002-1164-7163Mohammad Alibakhshikenari3https://orcid.org/0000-0002-8263-1572Hayfa Ben Thameur4https://orcid.org/0000-0001-6134-1552Université Polytechnique Hauts-de-France, Institut d’Électronique de Microélectronique et de Nanotechnologie (IEMN) CNRS UMR 8520, ISEN, Centrale Lille, University of Lille, Valenciennes, FranceUniversité Polytechnique Hauts-de-France, Institut d’Électronique de Microélectronique et de Nanotechnologie (IEMN) CNRS UMR 8520, ISEN, Centrale Lille, University of Lille, Valenciennes, FranceInstitut d’Électronique et des Technologies du numéRique (IETR) UMR CNRS 6164, CentraleSupélec, Cesson Sévigné, FranceDepartment of Signal Theory and Communications, Universidad Carlos III de Madrid, Leganés, Madrid, SpainUniversité Polytechnique Hauts-de-France, Institut d’Électronique de Microélectronique et de Nanotechnologie (IEMN) CNRS UMR 8520, ISEN, Centrale Lille, University of Lille, Valenciennes, FranceCognitive radio (CR) network has emerged as a potential solution to the under-utilization problem of the allocated radio spectrum, where spectrum sensing (SS) plays a key role to enable the coexistence between primary and secondary users. It has attracted research interests, and several works have been reported in the literature. Nevertheless, the assumptions and simplifications introduced during the modeling of the communication system often yield misleading conclusions each time relevant aspects of their implementation on a testbed are omitted. Hence, prototypes are built to study their behaviour under real-world conditions, therefore software defined radio (SDR) has emerged as an ideal vehicle to allow researchers to experiment with prototypes of these CR approaches. In this survey, we provide an overview of the latest works in CR networks related to the spectrum awareness approaches and taking into account their implementation on testbeds. These approaches are classified from a practical point of view, where a detailed review of the existing works for each category is provided. A review of the existing SDR platforms is also exposed highlighting the main components and features of current architectures employed for experimental evaluation of CR approaches. Next, the challenges to implement current spectrum awareness approaches on SDR platforms are detailed. Finally, at the light of these reviews, research challenges and open issues are identified for future research directions.https://ieeexplore.ieee.org/document/9989359/Cognitive radiospectrum sensingSDR platformshardware impairments |
| spellingShingle | Julio Manco Iyad Dayoub Amor Nafkha Mohammad Alibakhshikenari Hayfa Ben Thameur Spectrum Sensing Using Software Defined Radio for Cognitive Radio Networks: A Survey IEEE Access Cognitive radio spectrum sensing SDR platforms hardware impairments |
| title | Spectrum Sensing Using Software Defined Radio for Cognitive Radio Networks: A Survey |
| title_full | Spectrum Sensing Using Software Defined Radio for Cognitive Radio Networks: A Survey |
| title_fullStr | Spectrum Sensing Using Software Defined Radio for Cognitive Radio Networks: A Survey |
| title_full_unstemmed | Spectrum Sensing Using Software Defined Radio for Cognitive Radio Networks: A Survey |
| title_short | Spectrum Sensing Using Software Defined Radio for Cognitive Radio Networks: A Survey |
| title_sort | spectrum sensing using software defined radio for cognitive radio networks a survey |
| topic | Cognitive radio spectrum sensing SDR platforms hardware impairments |
| url | https://ieeexplore.ieee.org/document/9989359/ |
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