Hybrid Fuzzy Logic Scheme for Efficient Channel Utilization in Cognitive Radio Networks
The proliferation of mobile devices and the heterogeneous environment of wireless communications have increased the need for additional spectrum for data transmission. It is not possible to altogether allocate a new band to all networks, which is why fully efficient use of the already available spec...
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| Format: | Article |
| Language: | English |
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IEEE
2019-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/8643917/ |
| _version_ | 1818416068405755904 |
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| author | Amjad Ali Laraib Abbas Muhammad Shafiq Ali Kashif Bashir Muhammad Khalil Afzal Hannan Bin Liaqat Muhammad Hameed Siddiqi Kyung Sup Kwak |
| author_facet | Amjad Ali Laraib Abbas Muhammad Shafiq Ali Kashif Bashir Muhammad Khalil Afzal Hannan Bin Liaqat Muhammad Hameed Siddiqi Kyung Sup Kwak |
| author_sort | Amjad Ali |
| collection | DOAJ |
| description | The proliferation of mobile devices and the heterogeneous environment of wireless communications have increased the need for additional spectrum for data transmission. It is not possible to altogether allocate a new band to all networks, which is why fully efficient use of the already available spectrum is the demand of the day. Cognitive radio (CR) technology is a promising solution for efficient spectrum utilization, where CR devices, or secondary users (SUs), can opportunistically exploit white spaces available in the licensed channels. SUs have to immediately vacate the licensed channel and switch to another available channel when they detect the arrival of the incumbent primary user. However, performance for the SU severely degrades if successive channel switching happens. Moreover, taking the channel-switching decisions based on crisp logic is not a suitable approach in the brain-empowered CR networks (CRNs) where sensing information is not only imprecise and inaccurate but also involves a major uncertainty factor. In this paper, we propose a fuzzy logic-based decision support system (FLB-DSS) that jointly deals with channel selection and channel switching to enhance the overall throughput of CRNs. The proposed scheme reduces the SU channel switching rate and makes channel selection more adaptable. The performance of the proposed scheme is evaluated using a Matlab simulator, and a comprehensive comparison study with a baseline scheme is presented. The simulation results are promising in terms of the throughput and the number of handoffs and making our proposed FLB-DSS a good candidate mechanism for SUs while making judicious decisions in the CR environment. |
| first_indexed | 2024-12-14T11:45:00Z |
| format | Article |
| id | doaj.art-2cf4e765a792493b8cf986d800964f87 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-14T11:45:00Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-2cf4e765a792493b8cf986d800964f872022-12-21T23:02:39ZengIEEEIEEE Access2169-35362019-01-017244632447610.1109/ACCESS.2019.29002338643917Hybrid Fuzzy Logic Scheme for Efficient Channel Utilization in Cognitive Radio NetworksAmjad Ali0https://orcid.org/0000-0002-5346-1017Laraib Abbas1Muhammad Shafiq2https://orcid.org/0000-0001-7337-7608Ali Kashif Bashir3https://orcid.org/0000-0003-2601-9327Muhammad Khalil Afzal4https://orcid.org/0000-0002-6161-1310Hannan Bin Liaqat5Muhammad Hameed Siddiqi6https://orcid.org/0000-0002-4370-8012Kyung Sup Kwak7https://orcid.org/0000-0002-9559-4352Department of Information and Communication Engineering, Inha University, Incheon, South KoreaDepartment of Information Technology, University of Gujrat, Gujrat, PakistanDepartment of Information and Communication Engineering, Yeungnam University, Gyeongsan, South KoreaDepartment of Computing, Mathematics, and Digital Technology, Manchester Metropolitan University, Manchester, U.K.Department of Computer Science, COMSATS University Islamabad, Wah Campus, Wah Cantonment, PakistanDepartment of Information Technology, University of Gujrat, Gujrat, PakistanDepartment of Computer and Information Sciences, Jouf University, Sakakah, Saudi ArabiaDepartment of Information and Communication Engineering, Inha University, Incheon, South KoreaThe proliferation of mobile devices and the heterogeneous environment of wireless communications have increased the need for additional spectrum for data transmission. It is not possible to altogether allocate a new band to all networks, which is why fully efficient use of the already available spectrum is the demand of the day. Cognitive radio (CR) technology is a promising solution for efficient spectrum utilization, where CR devices, or secondary users (SUs), can opportunistically exploit white spaces available in the licensed channels. SUs have to immediately vacate the licensed channel and switch to another available channel when they detect the arrival of the incumbent primary user. However, performance for the SU severely degrades if successive channel switching happens. Moreover, taking the channel-switching decisions based on crisp logic is not a suitable approach in the brain-empowered CR networks (CRNs) where sensing information is not only imprecise and inaccurate but also involves a major uncertainty factor. In this paper, we propose a fuzzy logic-based decision support system (FLB-DSS) that jointly deals with channel selection and channel switching to enhance the overall throughput of CRNs. The proposed scheme reduces the SU channel switching rate and makes channel selection more adaptable. The performance of the proposed scheme is evaluated using a Matlab simulator, and a comprehensive comparison study with a baseline scheme is presented. The simulation results are promising in terms of the throughput and the number of handoffs and making our proposed FLB-DSS a good candidate mechanism for SUs while making judicious decisions in the CR environment.https://ieeexplore.ieee.org/document/8643917/Cognitive radio networkfuzzy logicresource allocationchannel selectionhandoff rate |
| spellingShingle | Amjad Ali Laraib Abbas Muhammad Shafiq Ali Kashif Bashir Muhammad Khalil Afzal Hannan Bin Liaqat Muhammad Hameed Siddiqi Kyung Sup Kwak Hybrid Fuzzy Logic Scheme for Efficient Channel Utilization in Cognitive Radio Networks IEEE Access Cognitive radio network fuzzy logic resource allocation channel selection handoff rate |
| title | Hybrid Fuzzy Logic Scheme for Efficient Channel Utilization in Cognitive Radio Networks |
| title_full | Hybrid Fuzzy Logic Scheme for Efficient Channel Utilization in Cognitive Radio Networks |
| title_fullStr | Hybrid Fuzzy Logic Scheme for Efficient Channel Utilization in Cognitive Radio Networks |
| title_full_unstemmed | Hybrid Fuzzy Logic Scheme for Efficient Channel Utilization in Cognitive Radio Networks |
| title_short | Hybrid Fuzzy Logic Scheme for Efficient Channel Utilization in Cognitive Radio Networks |
| title_sort | hybrid fuzzy logic scheme for efficient channel utilization in cognitive radio networks |
| topic | Cognitive radio network fuzzy logic resource allocation channel selection handoff rate |
| url | https://ieeexplore.ieee.org/document/8643917/ |
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