4.7 Article

Cooperative Caching and Transmission Design in Cluster-Centric Small Cell Networks

Journal

IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
Volume 16, Issue 5, Pages 3401-3415

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TWC.2017.2682240

Keywords

Small cell cooperation; partition-based caching; cluster-centric network; coordinated multipoint; stochastic geometry

Funding

  1. MOE ARF [MOE2014-T2-2-002, MOE2015-T2-2-104]
  2. DGIST Faculty Start-up Fund - Korea Ministry of Science, ICT & Future Planning [2016060019]
  3. Swedish Foundation for Strategic Research
  4. Swedish Research Council
  5. ELLIIT
  6. Zhejiang Provincial Public Technology Research of China [2016C31063]
  7. Institute for Information and communications Technology Promotion (IITP) - Korea government (MSIP) [2014-0-00065]
  8. Institute for Information & Communication Technology Planning & Evaluation (IITP), Republic of Korea [2014-0-00065-003] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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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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