5G-Enabled Distributed Systems: Enabling Next-Generation Applications through Ultra-Low Latency Networks

Authors

  • Venkateswarlu Poka Microsoft, USA Author

DOI:

https://doi.org/10.32628/CSEIT25112504

Keywords:

5G networks, distributed systems, edge computing, ultra-low latency, network slicing

Abstract

This article explores the transformative potential of 5G networks in enabling advanced distributed systems across multiple domains. By combining ultra-low latency, high bandwidth, and massive connection density capabilities, 5G technology overcomes traditional network limitations that have constrained distributed computing applications. The article examines three high-impact application areas where 5G capabilities are particularly beneficial: augmented and virtual reality (AR/VR), autonomous vehicle communication systems, and smart manufacturing environments. Through article architectural frameworks, performance metrics, and real-world implementations, the article demonstrates how 5G networks fundamentally alter system design approaches while addressing security, reliability, and resource optimization challenges. The article reveals that 5G-enabled distributed systems represent not merely an incremental improvement but a paradigm shift that enables new categories of applications previously infeasible with earlier network technologies.

Downloads

Download data is not yet available.

References

Mamta Agiwal et al., "Next Generation 5G Wireless Networks: A Comprehensive Survey," 2016. https://sci-hub.se/https://ieeexplore.ieee.org/document/7414384

Shancang Li et al., "5G Internet of Things: A survey," 2018. https://www.sciencedirect.com/science/article/abs/pii/S2452414X18300037

Nisha Panwar et al., "A Survey on 5G: The Next Generation of Mobile Communication," Physical Communication, vol. 18, pp. 64-84, 2016. https://www.sciencedirect.com/science/article/abs/pii/S1874490715000531

Alcardo Alex Barakabitze et al., "5G network slicing using SDN and NFV: A survey of taxonomy, architectures ,and future challenges," Computer Networks, vol. 167, article 106984, 2020. https://www.sciencedirect.com/science/article/pii/S1389128619304773

Mohammed S. Elbamby et al., "Toward Low-Latency and Ultra-Reliable Virtual Reality," 2018. https://sci-hub.se/https://ieeexplore.ieee.org/document/8329628

Robert-Steve Schmoll et al., "Demonstration of VR / AR offloading to Mobile Edge Cloud for low latency 5G gaming application," 2018. https://www.researchgate.net/publication/323864840_Demonstration_of_VR_AR_offloading_to_Mobile_Edge_Cloud_for_low_latency_5G_gaming_application

Jiadai Wang et al., "Networking and Communications in Autonomous Driving: A Survey," 2019. https://sci-hub.se/https://ieeexplore.ieee.org/document/8584062

Zachary MacHardy et al., "V2X Access Technologies: Regulation, Research, and Remaining Challenges," 2018. https://sci-hub.se/https://ieeexplore.ieee.org/document/8300313

F. Zezulka et al., "Industry 4.0 – An Introduction in the Phenomenon," 2016. https://www.sciencedirect.com/science/article/pii/S2405896316326386

Xiaomin Li et al., "A review of industrial wireless networks in the context of Industry 4.0," 2015. https://link.springer.com/article/10.1007/s11276-015-1133-7

Walid Saad et al., "A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems," 2019. https://sci-hub.se/https://ieeexplore.ieee.org/document/8869705

Mohamed Sahraoui et al., "A new Reinforcement Learning based for Energy-efficient Multi-channel Data Gathering in Wireless Sensor Networks," 2021. https://sci-hub.se/https://ieeexplore.ieee.org/document/9416546

Downloads

Published

19-03-2025

Issue

Section

Research Articles