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In cellular networks, the densification of connected devices and basestations engender the ever-growing traffic intensity, and caching popularcontents with smart management is a promising way to alleviate suchconsequences. Our research extends the previously proposed analysis ofthree-tier cache enabled Heterogeneous Networks (HetNets). The maincontributions are threefold. We consider the more realistic assumption; thatis, the distribution of small base stations is following Poisson-Poissoncluster processes, which reflects the real situations of geographicrestriction, user dense areas, and coverage-holes. We propose the allocation ofdownlink data transmission capacity according to the cases of requestedcontents which are either cached or non-cached in nearby nodes and elucidatethe traffic efficiency of the allocation under the effect of clustereddeployment of small base stations. The throughput and delay of the allocationsystem are derived based on the approximated sojourn time of the DiscriminatoryProcessor Sharing (DPS) queue. We present the results of achievable efficiencyand such a system's performance for a better caching solution to the challengesof future cellular networks.

Analysis of QoS in Heterogeneous Networks with Clustered Deployment and Caching Aware Capacity Allocation