TY - JOUR
T1 - Cooperative Caching and Transmission Design in Cluster-Centric Small Cell Networks
AU - Chen, Zheng
AU - Lee, Jemin
AU - Quek, Tony Q.S.
AU - Kountouris, Marios
N1 - Funding Information:
Manuscript received January 6, 2016; revised August 4, 2016 and December 8, 2016; accepted February 25, 2017. Date of publication March 17, 2017; date of current version May 8, 2017. This work was supported in part by the MOE ARF Tier 2 under Grant MOE2014-T2-2-002 and Grant MOE2015-T2-2-104, in part by the DGIST Faculty Start-up Fund funded by Korea Ministry of Science, ICT & Future Planning under Grant 2016060019, in part by the Swedish Foundation for Strategic Research, the Swedish Research Council, in part by ELLIIT, in part by the Zhejiang Provincial Public Technology Research of China under Grant 2016C31063, and in part by Institute for Information and communications Technology Promotion (IITP) grant funded by the Korea government (MSIP) (2014-0-00065, Resilient Cyber-Physical Systems Research). This paper was presented at the IEEE International Conference on Communications, Kuala Lumpur, Malaysia, May 2016 [1]. The associate editor coordinating the review of this paper and approving it for publication was E. U. Biyikoglu. Corresponding author: J. Lee.
Publisher Copyright:
© 2002-2012 IEEE.
PY - 2017/5
Y1 - 2017/5
N2 - Wireless content caching in small cell networks (SCNs) has recently been considered as an efficient way to reduce the data traffic and the energy consumption of the backhaul in emerging heterogeneous cellular networks. In this paper, we consider a cluster-centric SCN with combined design of cooperative caching and transmission policy. Small base stations (SBSs) are grouped into disjoint clusters, in which in-cluster cache space is utilized as an entity. We propose a combined caching scheme, where part of the cache space in each cluster is reserved for caching the most popular content in every SBS, while the remaining is used for cooperatively caching different partitions of the less popular content in different SBSs, as a means to increase local content diversity. Depending on the availability and placement of the requested content, coordinated multi-point technique with either joint transmission or parallel transmission is used to deliver content to the served user. Using Poisson point process for the SBS location distribution and a hexagonal grid model for the clusters, we provide analytical results on the successful content delivery probability of both transmission schemes for a user located at the cluster center. Our analysis shows an inherent tradeoff between transmission diversity and content diversity in our cooperation design. We also study the optimal cache space assignment for two objective functions: maximization of the cache service performance and the energy efficiency. Simulation results show that the proposed scheme achieves performance gain by leveraging cache-level and signal-level cooperation and adapting to the network environment and user quality-of-service requirements.
AB - Wireless content caching in small cell networks (SCNs) has recently been considered as an efficient way to reduce the data traffic and the energy consumption of the backhaul in emerging heterogeneous cellular networks. In this paper, we consider a cluster-centric SCN with combined design of cooperative caching and transmission policy. Small base stations (SBSs) are grouped into disjoint clusters, in which in-cluster cache space is utilized as an entity. We propose a combined caching scheme, where part of the cache space in each cluster is reserved for caching the most popular content in every SBS, while the remaining is used for cooperatively caching different partitions of the less popular content in different SBSs, as a means to increase local content diversity. Depending on the availability and placement of the requested content, coordinated multi-point technique with either joint transmission or parallel transmission is used to deliver content to the served user. Using Poisson point process for the SBS location distribution and a hexagonal grid model for the clusters, we provide analytical results on the successful content delivery probability of both transmission schemes for a user located at the cluster center. Our analysis shows an inherent tradeoff between transmission diversity and content diversity in our cooperation design. We also study the optimal cache space assignment for two objective functions: maximization of the cache service performance and the energy efficiency. Simulation results show that the proposed scheme achieves performance gain by leveraging cache-level and signal-level cooperation and adapting to the network environment and user quality-of-service requirements.
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U2 - 10.1109/TWC.2017.2682240
DO - 10.1109/TWC.2017.2682240
M3 - Article
AN - SCOPUS:85028693196
SN - 1536-1276
VL - 16
SP - 3401
EP - 3415
JO - IEEE Transactions on Wireless Communications
JF - IEEE Transactions on Wireless Communications
IS - 5
M1 - 7880694
ER -