Investigating global mobile network traffic dynamics and drivers
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Keywords

Edge computing
buffering
network slicing
switching
jitter
delay
carrier aggregation
Internet of Things

Categories

How to Cite

Begiashvili, K. (2024). Investigating global mobile network traffic dynamics and drivers. Georgian Scientists, 6(2), 251–262. https://doi.org/10.52340/gs.2024.06.02.26

Abstract

This paper delves into the dynamic evolution of mobile network traffic, driven by unprecedented growth in mobile data demand and the rapid deployment of cutting-edge technologies such as 5G and the Internet of Things (IoT). As global dependency on mobile connectivity intensifies, fueled by increasing consumer demand for streaming services, real-time communication, and smart device integration, the telecommunications infrastructure faces critical challenges. This document thoroughly examines these trends, identifies the primary challenges impacting network capacity and service quality, and explores innovative technological solutions designed to address these issues. Key areas of focus include the impact of massive IoT deployments, the strategic importance of advanced network technologies such as Software-Defined Networking (SDN) and Network Functions Virtualization (NFV), and the essential role of enhanced spectrum efficiency technologies in managing and optimizing network traffic. Additionally, the paper discusses the variances in mobile network traffic growth across different regions, influenced by varied economic conditions, technological adoption rates, and regulatory frameworks. This analysis not only charts a pathway for future technological advancements but also equips stakeholders with the knowledge to make informed decisions that will shape the future of mobile telecommunications. The insights provided here aim to facilitate a deeper understanding of the network demands and responses necessary to support the ongoing surge in global mobile data traffic, ensuring robust, scalable, and efficient mobile networks for future generations.

https://doi.org/10.52340/gs.2024.06.02.26
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References

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Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Copyright (c) 2024 Georgian Scientists

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