ICTACT Journal on Soft Computing

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A Novel Architecture of Intelligent Decision Model for Efficient Resource Allocation in 5G Broadband Communication Networks


Affiliations
1 Department of Electronics and Communication Engineering, Sri Eshwar College of Engineering, India., India
2 Department of Electronics and Communication Engineering, Vetri Vinayaha College of Engineering and Technology, India., India
3 Instituto de Investigacion para la Gestion Integrada de Zonas Costeras, Universitat Politecnica de Valencia, Spain., Spain
     

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Intelligent Decision Model for efficient resource allocation in 5G broadband communication networks is essential for ensuring the most efficient use of available resources. This model considers several factors, such as traffic demand, network topology, and radio access technology, to make the most efficient decisions about resource allocation. It is based on intelligent algorithms and advanced analytics, which allow the network to quickly and accurately identify the optimal resource allocation for a given situation. This model can reduce costs, improve network performance, and increase customer satisfaction. In addition, the Intelligent Decision Model can help operators reduce the complexity and cost of managing a 5G network. The intelligent decision model for efficient resource allocation in 5G broadband communication networks is based on a combination of artificial intelligence (AI) and optimization techniques. The proposed decision models can use AI to identify patterns in traffic and user behavior. In contrast, the proposed can use optimization techniques to maximize resource utilization and reduce latency in the network. This model can also leverage predictive analytics and machine learning algorithms to determine the most efficient allocation of resources. Additionally, the proposed model can use AI to detect and mitigate potential security threats and malicious activities in the network. the proposed IDM has reached 91.85% of accuracy, 90.05% of precision, 90.96% of recall and 91.33% of F1-score.

Keywords

Intelligent, Decision, Efficient, Resource, Allocation, 5G, Broadband, Communication, Networks.
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  • A Novel Architecture of Intelligent Decision Model for Efficient Resource Allocation in 5G Broadband Communication Networks

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Authors

J. Logeshwaran
Department of Electronics and Communication Engineering, Sri Eshwar College of Engineering, India., India
T. Kiruthiga
Department of Electronics and Communication Engineering, Vetri Vinayaha College of Engineering and Technology, India., India
Jaime Lloret
Instituto de Investigacion para la Gestion Integrada de Zonas Costeras, Universitat Politecnica de Valencia, Spain., Spain

Abstract


Intelligent Decision Model for efficient resource allocation in 5G broadband communication networks is essential for ensuring the most efficient use of available resources. This model considers several factors, such as traffic demand, network topology, and radio access technology, to make the most efficient decisions about resource allocation. It is based on intelligent algorithms and advanced analytics, which allow the network to quickly and accurately identify the optimal resource allocation for a given situation. This model can reduce costs, improve network performance, and increase customer satisfaction. In addition, the Intelligent Decision Model can help operators reduce the complexity and cost of managing a 5G network. The intelligent decision model for efficient resource allocation in 5G broadband communication networks is based on a combination of artificial intelligence (AI) and optimization techniques. The proposed decision models can use AI to identify patterns in traffic and user behavior. In contrast, the proposed can use optimization techniques to maximize resource utilization and reduce latency in the network. This model can also leverage predictive analytics and machine learning algorithms to determine the most efficient allocation of resources. Additionally, the proposed model can use AI to detect and mitigate potential security threats and malicious activities in the network. the proposed IDM has reached 91.85% of accuracy, 90.05% of precision, 90.96% of recall and 91.33% of F1-score.

Keywords


Intelligent, Decision, Efficient, Resource, Allocation, 5G, Broadband, Communication, Networks.

References