Dynamic Resource Allocation Techniques for Wireless Network Data in Elastic Optical Network Applications
Different devices and applications in wireless networks share spectrum resources reasonably. However, there are still issues such as channel overlap and adjacent interference in spectrum allocation and utilization, making the process of data dynamic resource allocation more complex. Therefore, a new...
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| Veröffentlicht in: | Mobile networks and applications 2023-10, Vol.28 (5), p.1712-1723 |
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| creator | Ge, Jing Wu, Kangcheng Jamal, Nasir Ullah, Farhan |
| description | Different devices and applications in wireless networks share spectrum resources reasonably. However, there are still issues such as channel overlap and adjacent interference in spectrum allocation and utilization, making the process of data dynamic resource allocation more complex. Therefore, a new data dynamic resource allocation technique for wireless networks is proposed. An elastic optical wireless network is formed by combining elastic optical network and wireless network. A global constrained resource allocation optimization model is designed based on the threshold of the maximum frequency gap number occupied on the fiber core at the end of allocation. Then, by using the global optimization genetic algorithm, the optimal dynamic resource allocation results of the elastic optical wireless network are obtained. Experimental results show that the spectrum utilization obtained by this technology is higher when the number of cores is 12, and the spectrum utilization is significantly improved by employing the proposed method. |
| doi_str_mv | 10.1007/s11036-023-02243-2 |
| format | Article |
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However, there are still issues such as channel overlap and adjacent interference in spectrum allocation and utilization, making the process of data dynamic resource allocation more complex. Therefore, a new data dynamic resource allocation technique for wireless networks is proposed. An elastic optical wireless network is formed by combining elastic optical network and wireless network. A global constrained resource allocation optimization model is designed based on the threshold of the maximum frequency gap number occupied on the fiber core at the end of allocation. Then, by using the global optimization genetic algorithm, the optimal dynamic resource allocation results of the elastic optical wireless network are obtained. Experimental results show that the spectrum utilization obtained by this technology is higher when the number of cores is 12, and the spectrum utilization is significantly improved by employing the proposed method.</description><identifier>ISSN: 1383-469X</identifier><identifier>EISSN: 1572-8153</identifier><identifier>DOI: 10.1007/s11036-023-02243-2</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Artificial intelligence ; Bandwidths ; Big Data ; Communications Engineering ; Computer centers ; Computer Communication Networks ; Data envelopment analysis ; Data transmission ; Efficiency ; Electrical Engineering ; Energy consumption ; Engineering ; Genetic algorithms ; Global optimization ; IT in Business ; Network management systems ; Networks ; Optical data processing ; Optical wireless ; Optimization ; Optimization models ; Resource allocation ; Spectrum allocation ; User behavior ; Utilization ; Wireless networks ; Workloads</subject><ispartof>Mobile networks and applications, 2023-10, Vol.28 (5), p.1712-1723</ispartof><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. 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However, there are still issues such as channel overlap and adjacent interference in spectrum allocation and utilization, making the process of data dynamic resource allocation more complex. Therefore, a new data dynamic resource allocation technique for wireless networks is proposed. An elastic optical wireless network is formed by combining elastic optical network and wireless network. A global constrained resource allocation optimization model is designed based on the threshold of the maximum frequency gap number occupied on the fiber core at the end of allocation. Then, by using the global optimization genetic algorithm, the optimal dynamic resource allocation results of the elastic optical wireless network are obtained. 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| subjects | Artificial intelligence Bandwidths Big Data Communications Engineering Computer centers Computer Communication Networks Data envelopment analysis Data transmission Efficiency Electrical Engineering Energy consumption Engineering Genetic algorithms Global optimization IT in Business Network management systems Networks Optical data processing Optical wireless Optimization Optimization models Resource allocation Spectrum allocation User behavior Utilization Wireless networks Workloads |
| title | Dynamic Resource Allocation Techniques for Wireless Network Data in Elastic Optical Network Applications |
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