Cited by 33IoT and Edge/Fog ComputingVehicular Ad Hoc Networks (VANETs)Advanced Wireless Communication Technologies

Enabling Technologies for Ultra-Low Latency and High-Reliability Communication in 6G Networks

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Mohammed, Saja Majeed, Al-Barrak, Alyaa, Mahmood, Noof T.·2024·Ingénierie des systèmes d information

Abstract

The need for faster and more dependable wireless communication networks has encouraged the development of 6G networks.This article explores the integration of Mobile Edge Computing (MEC) cloud architectures and the potential of self-driving Vehicle-to-Everything (V2X) communication to achieve ultra-low latency and high dependability in 6G networks.By integrating MEC into the 6G network fabric, latency is reduced by bringing data processing closer to end-users, particularly vehicles, thus enhancing computational capabilities at the network's edge.The fusion of MEC with self-driving V2X communication holds the key to realizing the potential of 6G networks, enabling seamless communication among vehicles, roadside infrastructure, and individuals.Extensive testing and simulations predict that the 6G network's latency for User Equipments (UEs) will fall within an impressive range of 4ms to 10ms, unlocking new opportunities for missioncritical services, augmented reality, and real-time applications.The paper substantiates the dependability of 6G networks under various scenarios, ensuring a stable and reliable communication infrastructure.The objectives of the study are twofold: firstly, to evaluate the potential of MEC integration in 6G networks and its impact on reducing latency for endusers, particularly in the context of self-driving V2X communication; and secondly, to predict and verify the ultra-low latency capabilities of 6G networks for UEs through extensive testing and simulations, thereby enabling new opportunities for mission-critical services, augmented reality, and real-time applications.The real network simulation carried in the MATLAB environment shows that for UEs in the 6G network, the predicted latency will be approximately 4ms to 10ms, which showcasing unprecedented opportunity of possibilities in communication and services.

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Cited by

Sorted by citations

Authors
Mohammed, S. M., Al-Barrak, A., & Mahmood, N. T.
Affiliations
  • University of Baghdad (IQ)
  • Al-Bayan University (IQ)
Corresponding author
Mahmood, Noof T.
Venue
Ingénierie des systèmes d information
Published
2024-06-20
Volume
29
Issue
3
ISSN
  • 1633-1311 (ISSN-L)
  • 2116-7125
OpenAlex
W4399855177
Cited by
33
References
2
Citations by year
2026: 14 · 2025: 17 · 2024: 2
FWCI
4.87
Type
journal article
Language
en
Open access
Locations
Ingénierie des systèmes d information (publishedVersion, cc-by)
Topics
  • Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Vehicular Ad Hoc Networks (VANETs)
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Wireless Communication Technologies
Keywords
6G, mobile edge computing, vehicle-to-everything communication, ultra-low latency, network reliability, autonomous vehicles, mission-critical services, augmented reality, real-time applications

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