Machine Learning and Intelligent Communications. First International Conference, MLICOM 2016, Shanghai, China, August 27-28, 2016, Revised Selected Papers

Research Article

Capacity of Content-Centric Hybrid Wireless Networks

Download
203 downloads
  • @INPROCEEDINGS{10.1007/978-3-319-52730-7_7,
        author={Jian Liu and Guanglin Zhang and Demin Li and Jiajie Ren},
        title={Capacity of Content-Centric Hybrid Wireless Networks},
        proceedings={Machine Learning and Intelligent Communications. First International Conference, MLICOM 2016, Shanghai, China, August 27-28, 2016, Revised Selected Papers},
        proceedings_a={MLICOM},
        year={2017},
        month={2},
        keywords={Capacity Wireless hybrid network Content-centric Cache},
        doi={10.1007/978-3-319-52730-7_7}
    }
    
  • Jian Liu
    Guanglin Zhang
    Demin Li
    Jiajie Ren
    Year: 2017
    Capacity of Content-Centric Hybrid Wireless Networks
    MLICOM
    Springer
    DOI: 10.1007/978-3-319-52730-7_7
Jian Liu,*, Guanglin Zhang,*, Demin Li,*, Jiajie Ren,*
    *Contact email: jianliu@mail.dhu.edu.cn, glzhang@dhu.edu.cn, deminli@dhu.edu.cn, renjiajie@mail.dhu.edu.cn

    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. 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. 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.