Modified Heuristic Computational Techniques for the Resource Optimization in Cognitive Radio Networks (CRNs)
With the advancement of internet technologies and multimedia applications, the spectrum scarcity problem is becoming more acute. Thus, spectral-efficient schemes with minimal interference for IoT networks are required. Device-to-device communication (D2D) technology has the potential to solve the is...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-02-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/12/4/973 |
| _version_ | 1797621275963686912 |
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| author | Ahmad Bilal Shahzad Latif Sajjad A. Ghauri Oh-Young Song Aaqif Afzaal Abbasi Tehmina Karamat |
| author_facet | Ahmad Bilal Shahzad Latif Sajjad A. Ghauri Oh-Young Song Aaqif Afzaal Abbasi Tehmina Karamat |
| author_sort | Ahmad Bilal |
| collection | DOAJ |
| description | With the advancement of internet technologies and multimedia applications, the spectrum scarcity problem is becoming more acute. Thus, spectral-efficient schemes with minimal interference for IoT networks are required. Device-to-device communication (D2D) technology has the potential to solve the issue of spectrum scarcity in future wireless networks. Additionally, throughput is considered a non-convex and NP-hard problem, and heuristic approaches are effective in these scenarios. This paper presents two novel heuristic approaches for throughput optimization for D2D users with quality of service (QoS)-aware wireless communication for mobile users (<i>MU</i>): the modified whale colony optimization algorithm (MWOA) and modified non-domination sorted genetic algorithm (MNSGA). The performance of the proposed algorithms is analyzed to show that the proposed mode selection technique efficiently fulfills the QoS requirements. Simulation results show the performance of the proposed heuristic algorithms compared to other understudied approaches. |
| first_indexed | 2024-03-11T08:53:33Z |
| format | Article |
| id | doaj.art-22753e812bd34bd99aa99cfec0e4224a |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-11T08:53:33Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-22753e812bd34bd99aa99cfec0e4224a2023-11-16T20:13:04ZengMDPI AGElectronics2079-92922023-02-0112497310.3390/electronics12040973Modified Heuristic Computational Techniques for the Resource Optimization in Cognitive Radio Networks (CRNs)Ahmad Bilal0Shahzad Latif1Sajjad A. Ghauri2Oh-Young Song3Aaqif Afzaal Abbasi4Tehmina Karamat5Computer Science Department, Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Islamabad 44000, PakistanComputer Science Department, Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Islamabad 44000, PakistanSchool of Engineering & Applied Sciences, ISRA University, Islamabad 44000, PakistanSoftware Department, Sejong University, Seoul 143-747, Republic of KoreaDepartment of Software Engineering, Foundation University Islamabad, Islamabad 44000, PakistanDepartment of Software Engineering, Foundation University Islamabad, Islamabad 44000, PakistanWith the advancement of internet technologies and multimedia applications, the spectrum scarcity problem is becoming more acute. Thus, spectral-efficient schemes with minimal interference for IoT networks are required. Device-to-device communication (D2D) technology has the potential to solve the issue of spectrum scarcity in future wireless networks. Additionally, throughput is considered a non-convex and NP-hard problem, and heuristic approaches are effective in these scenarios. This paper presents two novel heuristic approaches for throughput optimization for D2D users with quality of service (QoS)-aware wireless communication for mobile users (<i>MU</i>): the modified whale colony optimization algorithm (MWOA) and modified non-domination sorted genetic algorithm (MNSGA). The performance of the proposed algorithms is analyzed to show that the proposed mode selection technique efficiently fulfills the QoS requirements. Simulation results show the performance of the proposed heuristic algorithms compared to other understudied approaches.https://www.mdpi.com/2079-9292/12/4/973D2D communicationmodified whale colony optimizationmodified non-domination sorted genetic algorithmspectrum scarcity |
| spellingShingle | Ahmad Bilal Shahzad Latif Sajjad A. Ghauri Oh-Young Song Aaqif Afzaal Abbasi Tehmina Karamat Modified Heuristic Computational Techniques for the Resource Optimization in Cognitive Radio Networks (CRNs) Electronics D2D communication modified whale colony optimization modified non-domination sorted genetic algorithm spectrum scarcity |
| title | Modified Heuristic Computational Techniques for the Resource Optimization in Cognitive Radio Networks (CRNs) |
| title_full | Modified Heuristic Computational Techniques for the Resource Optimization in Cognitive Radio Networks (CRNs) |
| title_fullStr | Modified Heuristic Computational Techniques for the Resource Optimization in Cognitive Radio Networks (CRNs) |
| title_full_unstemmed | Modified Heuristic Computational Techniques for the Resource Optimization in Cognitive Radio Networks (CRNs) |
| title_short | Modified Heuristic Computational Techniques for the Resource Optimization in Cognitive Radio Networks (CRNs) |
| title_sort | modified heuristic computational techniques for the resource optimization in cognitive radio networks crns |
| topic | D2D communication modified whale colony optimization modified non-domination sorted genetic algorithm spectrum scarcity |
| url | https://www.mdpi.com/2079-9292/12/4/973 |
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