Content Caching Strategy at Small Base Station in 5G Networks with Mobile Edge Computing Rahman Atiqur, Ali Md Liton, & Guangfu Wu

    Content Caching Strategy at Small Base Station in 5G Networks with Mobile Edge Computing

Author (s)

Rahman Atiqur, Ali Md Liton, & Guangfu Wu

Abstract

The way of using mobile community sources successfully by the content material caching strategy. Here, we have a look at Small Cell Base Station Networks (SCBSNs) from a caching perspective. Firstly, we wager that these Small Cell Base Stations are deploying with low doable backhaul links on the other hand have excessive functionality storage units. Then, we illustrate our system mannequin and define a Quality of Experience (QoE) metric in order to satisfy a given file request. After that, we formulate the optimization hassle in order to maximize the Quality of Experience (QoE) metric for all requests beneath the ability constraints. We make clear this trouble via introducing an algorithm, referred to as MyCaching, which relies on potential constraints. Due to storage constraints, not all requested files can be cached so MyChacing algorithm selects the most popular documents until the total storage potential is achieved. In a row, the proposed caching algorithm is compared with PropCaching, the numerical consequences illustrate that the range of content material requests increases. Besides, we exhibit that MyCaching performs higher than PropCaching in most cases. Such as, for R=200 wide variety of requests and a storage ratio γ=0.5, the pleasure in MyCaching Algorithm is 90% higher than PropCaching and the backhaul usage is condensed by using 5%.

Key words: Small Cell Base Station Networks (SCBSNs), proactive caching, popularity caching, Quality of Experience (QoE), Mobile Edge Computing (MEC).

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Title: Content Caching Strategy at Small Base Station in 5G Networks with Mobile Edge Computing
Author:

Rahman Atiqur, Ali Md Liton, & Guangfu Wu

Journal Name: International Journal of Science and Business
Website: ijsab.com
ISSN: ISSN 2520-4750 (Online), ISSN 2521-3040 (Print)
DOI: https://doi.org/10.5281/zenodo.3746233
Media: Online
Volume: 4
Issue: 4
Acceptance Date: 08/04/2020
Date of Publication: 09/04/2020
PDF URL: https://ijsab.com/wp-content/uploads/517.pdf
Free download: Available
Page: 104-112
First Page: 104
Last Page: 112
Paper Type: Research Paper
Current Status: Published

Cite This Article:

Rahman Atiqur, Ali Md Liton, & Guangfu Wu (2020). Content Caching Strategy at Small Base Station in 5G Networks with Mobile Edge Computing. International Journal of Science and Business, 4(4), 104-112. doi: https://doi.org/10.5281/zenodo.3746233

Retrieved from https://ijsab.com/wp-content/uploads/517.pdf

 

About Author (s)

Rahman Atiqur, (Corresponding Author), Ph.D., Information and Communication Engineering, Chongqing University of Posts and Telecommunications, Chongqing, 400065, P.R. China.

Ali Md Liton, Ph.D., Information and Communication Engineering, Chongqing University of Posts and Telecommunications, Chongqing, 400065, P.R. China.

Guangfu Wu, Senior Engineer, School of Software Engineering, Chongqing University of Posts and Telecommunications, Chongqing, 400065, P.R. China.

 

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DOI: https://doi.org/10.5281/zenodo.3746233

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