Abstract
In this paper, we investigate the capacity scaling laws of content-centric hybrid wireless networks, where users aim to retrieve content stored in the network rather than maintain source-destination communication. n nodes that have limited-capacity content store are assumed to be independently and uniformly distributed in the network area. The content store equipped in each node is used to cache contents according to the proposed caching schemes. m base stations are regularly placed and act as relays during the content retrieving process. We consider heterogenous caching access scheme where the cached probability of contents is different and the requested contents follow a Zipf content popularity distribution. We present the closed form capacity formulae for the heterogenous caching access scheme in order sense.
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Acknowledgment
This work is supported by the NSF of China under Grant No. 61301118; the Innovation Program of Shanghai Municipal Education Commission under Grant No. 14YZ130; the International S&T Cooperation Program of Shanghai Science and Technology Commission under Grant No. 15220710600; and the Fundamental Research Funds for the Central Universities under Grant No. 16D210403.
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© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Liu, J., Zhang, G., Li, D., Ren, J. (2017). Capacity of Content-Centric Hybrid Wireless Networks. In: Xin-lin, H. (eds) Machine Learning and Intelligent Communications. MLICOM 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 183. Springer, Cham. https://doi.org/10.1007/978-3-319-52730-7_7
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DOI: https://doi.org/10.1007/978-3-319-52730-7_7
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