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Caching at the Mobile Edge: A Practical Implementation

Authors: Justas Poderys; Matteo Artuso; Claus Michael Oest Lensbol; Henrik Lehrmann Christiansen; José Soler;

Caching at the Mobile Edge: A Practical Implementation

Abstract

Thanks to recent advances in mobile networks, it is becoming increasingly popular to access heterogeneous content from mobile terminals. There are, however, unique challenges in mobile networks that affect the perceived quality of experience (QoE) at the user end. One such challenge is the higher latency that users typically experience in mobile networks compared with wired ones. Cloud-based radio access networks with content caches at the base stations (BSs) are seen as a key contributor in reducing the latency required to access content and thus improve the QoE at the mobile user terminal. In this paper, a prototype implementation of a mobile edge cache system is presented. The proposal focuses on compliance with the existing long-term evolution deployment and content-location solutions. The prototype is designed to perform assessment tests and evaluation of caching solutions. Results are then shown for the QoE improvements for the mobile user obtained by caching content at the BSs. This is quantified with a comparison to noncached content by means of ping tests (10%-11% shorter times), a higher response rate for Web traffic (1.73-3.6 times higher), and an improvement in the jitter (6% reduction).

Country
Denmark
Related Organizations
Keywords

practical implementation, Practical implementation, Electrical engineering. Electronics. Nuclear engineering, 5G, Mobile edge caching, TK1-9971

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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    29
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
29
Top 10%
Top 10%
Top 10%
Green
gold