Abstract
In this paper, we investigate the problem of content caching in wireless cellular networks (CN) using device-to-device (D2D) transmission method to reduce subscriber’s download delay. We focus on how to efficiently allocate files to the selected important nodes (INs), and propose a novel approach for minimizing the downloading latency. In particular, we first model the problem of minimizing delay as a matching game. Then we tackle this game by exploiting the popularity of contents as well as users’ social properties to generate the utility functions of two-side players: INs and files. Based on the utility function, the preference lists of cache entities is developed. For solving this game, we design a user-file caching (UFC) algorithm to achieve a stable matching between INs and files. Simulation and analytical results show that the proposed mechanism is capable of offering a better delay performance than benchmarks, e.g., random caching and recent-used-file caching scheme.
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Acknowledgement
This work is supported in part by the National Natural Science Foundation of China under Grant (Nos. 6150123861602245 and 61472190), in part by the Jiangsu Provincial Science Foundation under Project BK20150786 and BK20150791, in part by the Specially Appointed Professor Program in Jiangsu Province, 2015, in part by the Fundamental Research Funds for the Central Universities under Grant 30916011205, in part by the Open Research Fund of National Mobile Communications Research Laboratory, Southeast University, under grant No. 2017D04, in part by he China Postdoctoral Science Foundation (2016M591852), and in part by Postdoctoral research funding program of Jiangsu Province (1601257C).
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Liu, M., Li, J., Liu, T., Chen, Y. (2018). Social-Aware Data Caching Mechanism in D2D-Enabled Cellular Networks. In: Long, K., Leung, V., Zhang, H., Feng, Z., Li, Y., Zhang, Z. (eds) 5G for Future Wireless Networks. 5GWN 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 211. Springer, Cham. https://doi.org/10.1007/978-3-319-72823-0_60
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