Cluster-Based Caching Strategy with Limited Storage in Ultra Dense Networks
Ultra dense network (UDN) is considered as one of the key techniques to boost the network capacity in 5G. In order to reduce the huge backhaul cost and end-to-end transmission delay, caching the popular content at the edge of UDNs is an inspiring approach. Considering that the storage capacity of a single small base station (SBS) in UDNs is usually limited, SBSs cooperation to store respective file fragments is an interesting approach that needs further investigation. In this paper, we propose a cluster-based caching strategy (CBCS) for limited storage SBSs in UDNs. A novel clustering scheme based on SBSs’s load capacity and location is designed with consideration on files fragments and SBSs cooperation. We target the minimum average download delay under the constraint of the number of SBSs in a cluster. The simulation results show that the proposed algorithm could achieve a better hit ratio and has a lower average download delay.
KeywordsUltra dense network Clustering Caching Download delay Hit ratio
This paper is sponsored by National Natural Science Foundation of China (Grant 61771070 and 61671088).
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