论文标题
启用有限回程的启用缓存HETNET：随机几何模型
Cache-enabled HetNets with Limited Backhaul: A Stochastic Geometry Model
论文作者
论文摘要
随着移动网络数据量的迅速爆炸，Edge Caching已获得了重要的关注，作为一种有效的方法，可以通过将内容带入用户附近，以提高内容交付效率。在本文中，借助随机几何方法分析了有限的回程，启用了基于缓存的异质网络（HETNET）。提议，最受欢迎的含量在宏观BSS层中以确定性的缓存策略缓存，并且提议使用概率的缓存策略缓存最受欢迎的内容。相应地，以内容为中心的关联策略是基于访问链接，缓存和回程链接的全面状态设计的。在混合缓存策略下，在一般情况，干扰有限的方案和平均负载方案中得出了成功交付概率的新分析结果，平均成功的交付率和能源效率。仿真结果表明，拟议的缓存策略的表现优于Hetnets中最受欢迎的缓存政策，而回程有限。当内容受欢迎程度降低，缓存能力足够并且辅助密度相对较大时，性能增益会大大提高。此外，已经确认存在最佳的辅助密度，以最大程度地提高基于缓存HETNET的能源效率。
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 rate and energy efficiency are derived in the general scenario, the interference-limited scenario and the mean load scenario. The simulation results show that the proposed caching policy outperforms the most popular caching policy in HetNets with the limited backhaul. The performance gain is dramatically improved when the content popularity is less skewed, the cache capacity is sufficient and the helper density is relatively large. Furthermore, it is confirmed that there exists an optimal helper density to maximize the energy efficiency of the cache-enabled HetNets.
