TY - GEN
T1 - Backhaul-Based Cooperative Caching in Small Cell Network
AU - Wang, Yu Ting
AU - Cai, Yun Zhan
AU - Chen, Lo An
AU - Lin, Sian Jhe
AU - Tsai, Meng Hsun
N1 - Funding Information:
Acknowledgements. This work was financially supported by the Center for Open Intelligent Connectivity from The Featured Areas Research Center Program within the framework of the Higher Education Sprout Project by the Ministry of Education (MOE) in Taiwan. Tsai’s work was supported in part by the Ministry of Science and Technology (MOST) under Grant 106-2221-E-006-007-and Grant MOST 107-2221-E-006-062-, and Industrial Technology Research Institute (ITRI).
Publisher Copyright:
© 2020, Springer Nature Switzerland AG.
PY - 2020
Y1 - 2020
N2 - As mobile devices become more and more ubiquitous, mobile traffic demands are increasing exponentially. To deal with such challenge, caching is considered as an effective way to reduce redundant transmissions. Cooperative caching allows the cache storage to be used more efficiently and increases cache hit rate to further reduce the downloading latency. Recent researches assume that a mobile user can be served by multiple small cell base stations (SBSs) simultaneously, yet this hypothesis requires costly re-design of the infrastructure’s physical layer. In this paper, we propose a backhaul-based cooperative caching scheme which groups several SBSs into a cluster and the SBSs cooperate through wired interfaces. We first formulate a delay minimization problem for cooperative caching, and then propose a greedy algorithm to obtain the content placement with maximum reduced delay. We also explore the impact on end-to-end latency under different simulation parameters, such as cache size and the skewness of the popularity of requested contents.
AB - As mobile devices become more and more ubiquitous, mobile traffic demands are increasing exponentially. To deal with such challenge, caching is considered as an effective way to reduce redundant transmissions. Cooperative caching allows the cache storage to be used more efficiently and increases cache hit rate to further reduce the downloading latency. Recent researches assume that a mobile user can be served by multiple small cell base stations (SBSs) simultaneously, yet this hypothesis requires costly re-design of the infrastructure’s physical layer. In this paper, we propose a backhaul-based cooperative caching scheme which groups several SBSs into a cluster and the SBSs cooperate through wired interfaces. We first formulate a delay minimization problem for cooperative caching, and then propose a greedy algorithm to obtain the content placement with maximum reduced delay. We also explore the impact on end-to-end latency under different simulation parameters, such as cache size and the skewness of the popularity of requested contents.
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U2 - 10.1007/978-3-030-15032-7_61
DO - 10.1007/978-3-030-15032-7_61
M3 - Conference contribution
AN - SCOPUS:85063989441
SN - 9783030150310
T3 - Advances in Intelligent Systems and Computing
SP - 725
EP - 736
BT - Advanced Information Networking and Applications - Proceedings of the 33rd International Conference on Advanced Information Networking and Applications AINA-2019
A2 - Barolli, Leonard
A2 - Xhafa, Fatos
A2 - Enokido, Tomoya
A2 - Takizawa, Makoto
PB - Springer Verlag
T2 - 33rd International Conference on Advanced Information Networking and Applications, AINA-2019
Y2 - 27 March 2019 through 29 March 2019
ER -