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

Rahman Atiqur, Ali Md Liton and Guangfu Wu

International Journal of Science and Business, 2020, vol. 4, issue 4, 104-112

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 ?=0.5, the pleasure in MyCaching Algorithm is 90% higher than PropCaching and the backhaul usage is condensed by using 5%.

Keywords: mall Cell Base Station Networks (SCBSNs); proactive caching; popularity caching; Quality of Experience (QoE); Mobile Edge Computing (MEC) (search for similar items in EconPapers)
Date: 2020
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