Wireless Caching Algorithm Based on User’s Context in Smallcell Environments 


Vol. 41,  No. 7, pp. 789-798, Jul.  2016


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  Abstract

In this paper, we propose a cache algorithm based on user’s context for enterprise/urban smallcell environments. The smallcell caching method is to store mobile users’ data traffic at a storage which is equipped in smallcell base station and it has an effect of reducing core networks traffic volume. In our algorithm, contrary to existing smallcell cache algorithms, the cache storage is equipped in a edge server by using a concept of the Mobile Edge Computing. In order to reflect user’s characteristics, the edge server classifies users into several groups based on user’s context. Also the edge server changes the storage size and the cache replacement frequency of each group to improve the cache efficiency. As the result of performance evaluation, the proposed algorithm can improve the cache hit ratio by about 11% and cache efficiency by about 5.5% compared to the existing cache algorithm.

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  Cite this article

[IEEE Style]

H. K. Jung, S. Jung, D. H. Lee, S. Q. Lee, J. Kim, "Wireless Caching Algorithm Based on User’s Context in Smallcell Environments," The Journal of Korean Institute of Communications and Information Sciences, vol. 41, no. 7, pp. 789-798, 2016. DOI: .

[ACM Style]

Hyun Ki Jung, Soyi Jung, Dong Hak Lee, Seung Que Lee, and Jae-Hyun Kim. 2016. Wireless Caching Algorithm Based on User’s Context in Smallcell Environments. The Journal of Korean Institute of Communications and Information Sciences, 41, 7, (2016), 789-798. DOI: .

[KICS Style]

Hyun Ki Jung, Soyi Jung, Dong Hak Lee, Seung Que Lee, Jae-Hyun Kim, "Wireless Caching Algorithm Based on User’s Context in Smallcell Environments," The Journal of Korean Institute of Communications and Information Sciences, vol. 41, no. 7, pp. 789-798, 7. 2016.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880