5G Network Slicing for Improved Meteorological Warning Dissemination

Authors

  • Mohsen S. Alsaadi 1Department of Electrical and Computer, Faculty of Engineering, King abdulaziz university, Saudi Arabia
  • Naif D. Alotaibi Department of Electrical and Computer, Faculty of Engineering,King abdulaziz university, Saudi Arabia

Abstract

This study addresses challenges in meteorological warning dissemination by examining the limitations of traditional communication methods that have been used. Leveraging 5G technologies such as mobile communications, IoT, and advanced satellites, the research focuses on integrating 5G network slicing to enhance the transmission speed and accuracy of meteorological disaster warnings. The paper proposes a concise design reference scheme, defining key indices and requirements for 5G network slicing tailored to meteorological information transmission. The three-tiered end-to-end architecture of 5G network slicing, involving the management, control, and user planes, is outlined. Key components like CSMF, NSMF, and NSSMF contribute to the comprehensive life cycle management of end-to-end slicing. The study classifies Service Level Agreement (SLA) indicators for 5G network slicing, aligning them with industry standards, and establishes a foundational understanding for implementation. This framework aims to revolutionize information transmission, providing a scalable and adaptive solution for meteorological warning systems in dynamic environments.

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Published

2024-01-03

Issue

Vol. 1 No. 2 (2023): Journal of Intelligent Systems and applied data science (JISADS)

Section

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