Revolutionizing Telecom Latency with Edge Computing and 5G

Hussein, Ahmed Ali; Ahmed Noori, Nabaa; Kuttubek Temirzhanovich, Abylov; Mohammed Al-Dosari, Ibraheem Hatem; Aljebouri, Hamza

doi:10.22034/jipm.2025.728345

Revolutionizing Telecom Latency with Edge Computing and 5G

Document Type : Original Article

Authors

Ahmed Ali Hussein ¹

Nabaa Ahmed Noori ²

Abylov Kuttubek Temirzhanovich ³

Ibraheem Hatem Mohammed Al-Dosari ⁴

Hamza Aljebouri ⁵

¹ Al-Turath University, Baghdad 10013, Iraq

² Al-Mansour University College, Baghdad 10067, Iraq, ORCID

³ Osh State University, Osh City 723500, Kyrgyzstan

⁴ Al-Rafidain University College Baghdad 10064, Iraq

⁵ Madenat Alelem University College, Baghdad 10006, Iraq

10.22034/jipm.2025.728345

Abstract

ABSTRACT
Background: The telecommunications’ growth, especially with the emergence of 5G, has led to the requirement of low latency solutions. Current cloud computing models possess architectural flaws that prevent real-time service delivery, critical in applications of autonomous vehicles, augmented reality among others.
Objective: This article reviews how edge computing can be combined with 5G networks to overcome the latency issues in today’s telecommunication systems. They look at how this combination can cut down latency by processing data closer to the end consumer and its potential to disrupt several industries.
Methods: This research uses the literature review of current information in 5G and edge computing systems, architectures, practices, and theoretical frameworks. The result of the work is based on the assessment of the existing solutions in the implementation of edge computing within the 5G environment based on case analysis.
Results: The analysis shows that all the applications such as self-driving cars and industrial robotics experienced 40 to 70% reduced latency. Also, edge computing results in better resources management in case of telecommunications since it deems many computing tasks to localized edge nodes from cloud.
Conclusion: Combining edge computing with networking also provides a distinctive model for addressing latency problems while enhancing the network and boosting industry development. Concerning the research limitations, the future research should explore ways of improving the efficiency of resource allocation to meet the company’s needs and explore the scalability issues.

Keywords

KEYWORDS: Edge computing

latency reduction

network slicing

telecommunications

mobile edge computing (MEC)

low-latency networks

real-time processing

autonomous vehicles

resource optimization

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