Cache-enabled HetNets with Limited Backhaul: A Stochastic Geometry Model
Congshan Fan, Tiankui Zhang, Yuanwei Liu, Zhiming Zeng

TL;DR
This paper models cache-enabled heterogeneous networks with limited backhaul using stochastic geometry, proposing a hybrid caching policy that improves content delivery and energy efficiency, especially under less skewed content popularity.
Contribution
It introduces a hybrid caching policy combining deterministic and probabilistic strategies and derives analytical results for key performance metrics in various scenarios.
Findings
Hybrid caching outperforms popular caching in limited backhaul HetNets.
Performance improves with less skewed content popularity, larger cache capacity, and higher helper density.
An optimal helper density exists for maximizing energy efficiency.
Abstract
With the rapid explosion of data volume from mobile networks, edge caching has received significant attentions as an efficient approach to boost content delivery efficiency by bringing contents near users. In this article, cache-enabled heterogeneous networks (HetNets) considering the limited backhaul is analyzed with the aid of the stochastic geometry approach. A hybrid caching policy, in which the most popular contents are cached in the macro BSs tier with the deterministic caching strategy and the less popular contents are cached in the helpers tier with the probabilistic caching strategy, is proposed. Correspondingly, the content-centric association strategy is designed based on the comprehensive state of the access link, the cache and the backhaul link. Under the hybrid caching policy, new analytical results for successful content delivery probability, average successful delivery…
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