6533b828fe1ef96bd1287a28
RESEARCH PRODUCT
Context-aware data caching for 5G heterogeneous small cells networks
Xianfu ChenZheng ChangZhu HanTapani RistaniemiYunan Gusubject
ta113context awareta213Computer sciencebusiness.industryQuality of servicematching05 social sciences050801 communication & media studies020206 networking & telecommunicationssmall cell networks02 engineering and technologycontent cachingSmart CacheBase station0508 media and communicationsServer0202 electrical engineering electronic engineering information engineeringLeverage (statistics)CacheSmall cellbusinessComputer networkdescription
In this work, we investigate the problem of context-aware data caching in the heterogeneous small cell networks (HSCNs) to provide satisfactory to the end-users in reducing the service latency. In particular, we explore the storage capability of base stations (BSs) in HSCNs and propose a data caching model consists of edge caching elements (CAEs), small cell base stations (SBSs), and macro cell BS (MBS). Then, we concentrate on how to efficiently match the data contents to the different cache entities in order to minimize the overall system service latency. We model it as a distributed college admission (CA) stable matching problem and tackle this issue by utilizing contextual information to generate the preference lists of cache entities and contents, respectively. In the CA model, we leverage the resident-oriented Gale-Shapley (RGS) algorithm to find a stable matching between the contents and the cache entities. Through numerical results, we illustrate the advantages of of our proposed methods.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2016-07-14 |