Dynamical Spectrum Sharing and Medium Access Control for Heterogeneous Cognitive Radio Networks.
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| Title: | Dynamical Spectrum Sharing and Medium Access Control for Heterogeneous Cognitive Radio Networks. |
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| Authors: | Mohamedou, Ahmed1, Sali, Aduwati1, Ali, Borhanuddin1, Othman, Mohamed2 |
| Source: | International Journal of Distributed Sensor Networks. 5/9/2016, p1-15. 15p. |
| Subjects: | Wireless sensor network access control, Cognitive radio, Spectrum analysis, Artificial neural networks, Network performance |
| Abstract: | This paper tackles the issue of spectrum sharing and medium access control among heterogeneous secondary users. Two solutions are proposed in this paper. The first solution can be used in centralized fashion where a central entity exists which decides transmission power for all secondary users. This solution tries to minimize the time required by secondary users to clear their queues. The second solution assumes the autonomy of secondary users where the decision to update transmission power is distributed among users. Dynamical system approach is used to model system behavior. The trajectory of interference noise level suffered by secondary users is used to update transmission power at the beginning of each time frame based on the proposed dynamic power assignment rule. This rule couples the responses of all secondary users in a way which simplifies future interference noise forecasting. A forecasting engine based on deep neural network is proposed. This engine gives secondary users the ability to acquire useful knowledge from surrounding wireless environment. As a result, better transmission power allocation is achieved. Evaluation experiments have confirmed that adopting deep neural network can improve the performance by 46% on average. All of the proposed solutions have achieved an outstanding performance. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Distributed Sensor Networks is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 115217042 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Dynamical Spectrum Sharing and Medium Access Control for Heterogeneous Cognitive Radio Networks. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Mohamedou%2C+Ahmed%22">Mohamedou, Ahmed</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Sali%2C+Aduwati%22">Sali, Aduwati</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Ali%2C+Borhanuddin%22">Ali, Borhanuddin</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Othman%2C+Mohamed%22">Othman, Mohamed</searchLink><relatesTo>2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Distributed+Sensor+Networks%22">International Journal of Distributed Sensor Networks</searchLink>. 5/9/2016, p1-15. 15p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Wireless+sensor+network+access+control%22">Wireless sensor network access control</searchLink><br /><searchLink fieldCode="DE" term="%22Cognitive+radio%22">Cognitive radio</searchLink><br /><searchLink fieldCode="DE" term="%22Spectrum+analysis%22">Spectrum analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+neural+networks%22">Artificial neural networks</searchLink><br /><searchLink fieldCode="DE" term="%22Network+performance%22">Network performance</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This paper tackles the issue of spectrum sharing and medium access control among heterogeneous secondary users. Two solutions are proposed in this paper. The first solution can be used in centralized fashion where a central entity exists which decides transmission power for all secondary users. This solution tries to minimize the time required by secondary users to clear their queues. The second solution assumes the autonomy of secondary users where the decision to update transmission power is distributed among users. Dynamical system approach is used to model system behavior. The trajectory of interference noise level suffered by secondary users is used to update transmission power at the beginning of each time frame based on the proposed dynamic power assignment rule. This rule couples the responses of all secondary users in a way which simplifies future interference noise forecasting. A forecasting engine based on deep neural network is proposed. This engine gives secondary users the ability to acquire useful knowledge from surrounding wireless environment. As a result, better transmission power allocation is achieved. Evaluation experiments have confirmed that adopting deep neural network can improve the performance by 46% on average. All of the proposed solutions have achieved an outstanding performance. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Distributed Sensor Networks is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1155/2016/3630593 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 1 Subjects: – SubjectFull: Wireless sensor network access control Type: general – SubjectFull: Cognitive radio Type: general – SubjectFull: Spectrum analysis Type: general – SubjectFull: Artificial neural networks Type: general – SubjectFull: Network performance Type: general Titles: – TitleFull: Dynamical Spectrum Sharing and Medium Access Control for Heterogeneous Cognitive Radio Networks. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Mohamedou, Ahmed – PersonEntity: Name: NameFull: Sali, Aduwati – PersonEntity: Name: NameFull: Ali, Borhanuddin – PersonEntity: Name: NameFull: Othman, Mohamed IsPartOfRelationships: – BibEntity: Dates: – D: 09 M: 05 Text: 5/9/2016 Type: published Y: 2016 Identifiers: – Type: issn-print Value: 15501329 Titles: – TitleFull: International Journal of Distributed Sensor Networks Type: main |
| ResultId | 1 |
