5G and Cloud Computing: Improving Latency and Bandwidth Efficiency
Abstract & Details
Research Area
computer Engineering
Keywords
5G Technology
Cloud Computing
Latency Reduction
Bandwidth Efficiency
Mobile Edge Computing (MEC)
Ultra-Reliable Low-Latency Communication (URLLC)
Edge Computing.
Abstract
Co-innovation of 5G and cloud enables ultra-fast, low-latent, bandwidth-efficient services in multiple areas with 5G network delivering enhanced mobile broadband, ultra-reliable low-latency communications, and massive machine-type communications, and cloud computing delivers on-demand scalable processing and storage resources. Combined, these technologies can form a useful framework to enable future applications like autonomous driving, smart cities, long-distance medical care, and virtual realities. The present paper explores the role of 5G and cloud computing convergence in resolving the challenges arising regarding latency and bandwidth efficiency that are going to become critical in the future. It discusses some major architecture additions such as mobile edge computing (MEC), network slicing, and intelligent resource orchestration, all of which allow quicker data processing with less strain on the network. The paper traces the recent works, with emphasis on real life case studies, and analysis of performance measures related to 5G-cloud systems. The results indicate that any efficient integration approach can decrease the latency between the end and end points up to 50% and increases the bandwidth utilization in the heavy data networking. In general, the paper offers in-depth insights of how 5G and cloud synergy can transform digital infrastructure to provide faster and efficient as well as reliable connectivity framework in future applications.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Tamilmani A | CMR University |
| 2 | Dr.Janarthanam S | CMR University |
| 3 | Dr.Umadevi Ramamoorthy | CMR University |
How to Cite
Use the following formats to cite this article in your research.
APA Style
A, Tamilmani, S, Dr.Janarthanam, & Ramamoorthy, Dr.Umadevi (2025). 5G and Cloud Computing: Improving Latency and Bandwidth Efficiency. International Journal of Advance Research and Innovative Ideas In Education, 11(4), 684-689.
MLA Style
A, Tamilmani, et al. "5G and Cloud Computing: Improving Latency and Bandwidth Efficiency." International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 4, 2025, pp. 684-689.
IEEE Style
Tamilmani A, Dr.Janarthanam S, and Dr.Umadevi Ramamoorthy, "5G and Cloud Computing: Improving Latency and Bandwidth Efficiency," International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 4, pp. 684-689, 2025.
Vancouver Style
A Tamilmani, S Dr.Janarthanam, Ramamoorthy Dr.Umadevi. 5G and Cloud Computing: Improving Latency and Bandwidth Efficiency. International Journal of Advance Research and Innovative Ideas In Education. 2025;11(4):684-689.
Harvard Style
A, Tamilmani, S, Dr.Janarthanam, & Ramamoorthy, Dr.Umadevi (2025) '5G and Cloud Computing: Improving Latency and Bandwidth Efficiency', International Journal of Advance Research and Innovative Ideas In Education, 11(4), pp. 684-689.
Chicago Style
A, Tamilmani, Dr.Janarthanam S, and Dr.Umadevi Ramamoorthy. "5G and Cloud Computing: Improving Latency and Bandwidth Efficiency." International Journal of Advance Research and Innovative Ideas In Education 11, no. 4 (2025): 684-689.
Turabian Style
A, Tamilmani, Dr.Janarthanam S, and Dr.Umadevi Ramamoorthy. "5G and Cloud Computing: Improving Latency and Bandwidth Efficiency." International Journal of Advance Research and Innovative Ideas In Education 11, no. 4 (2025): 684-689.
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