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Backhaul Aware Energy Efficiency Analysis of Cache-Enabled Cellular Networks (Invited Paper)

机译:启用缓存的蜂窝网络的回程感知能效分析(邀请论文)

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Caching at the edge has emerged as a promising technology to enhance the quality of service (QoS) of users and mitigate the backhaul load. Since the cache capacity is not arbitrarily large to store all contents, the backhaul can assist to fetch the contents from the core network. The network performance analysis of base station (BS) caching should consider the limited backhaul capacity. In this paper, we analyze the energy efficiency of the cache-enabled cellular networks considering the backhaul with stochastic geometry. First, the content coverage probability (CCP) based on the limited backhaul is analyzed. With the obtained CCP results, the expressions of throughput, power consumption and energy efficiency for a general case and a specific case with the mean load approximation are derived respectively. Simulation results confirm the accuracy of theoretical analysis and verify that BSs caching can dramatically improve energy efficiency on the condition that the content popularity is skewed and the backhaul capacity is relatively small.
机译:边缘缓存已成为一种有前途的技术,可以提高用户的服务质量(QoS)和减轻回程负载。由于缓存容量并非任意大,无法存储所有内容,因此回程可以帮助从核心网络获取内容。基站(BS)缓存的网络性能分析应考虑有限的回程容量。在本文中,我们考虑了具有随机几何形状的回程,分析了启用缓存的蜂窝网络的能效。首先,分析基于有限回程的内容覆盖概率(CCP)。利用获得的CCP结果,分别推导了一般情况下和平均情况下的特定情况下的吞吐量,功耗和能效的表达式。仿真结果证实了理论分析的准确性,并验证了在内容普及度偏斜且回传容量相对较小的情况下,BS缓存可以显着提高能量效率。

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