Abstract
Content caching on the edge of dense networks is an emerging and critical technology to support the thirst for content of mobile users. However, the user mobility imposes additional difficulties on caching design because a moving user may not be able to obtain a whole file from a single small base station (SBS). In this paper, we consider the content caching problem in a dense small cell networks. We proposed a proactive mobility-aware (PMA) caching strategy combined with users mobility prediction. In this strategy, we first predict future locations of mobile users, then optimally cache content at SBSs where mobile users are most likely to access in the future. We evaluate efficacy through simulation and compare our strategy against a commonly used cache strategy. Simulation results of our caching strategy show a considerable improvement on the users cache hit ratio.
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Acknowledgement
This paper is sponsored by the National Natural Science Foundation of China for the Youth (61501047) and Fundamental Research Funds for the Central Universities of China (2017RC04), and the National Science and Technology Major Project of the Ministry of Science and Technology of China (2016ZX03001017).
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Song, T., Zhang, H., Li, X., Zhu, C., Ji, H. (2018). Proactive Edge Caching Strategy Based on Mobility Prediction in Dense Small Cell Networks. In: Li, B., Shu, L., Zeng, D. (eds) Communications and Networking. ChinaCom 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 236. Springer, Cham. https://doi.org/10.1007/978-3-319-78130-3_45
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DOI: https://doi.org/10.1007/978-3-319-78130-3_45
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