Analysis of energy consumption of two kinds of edge caching strategies in heterogeneous networks

Yi SUN; Hong WANG; Rongfang SONG

doi:10.11959/j.issn.1000-0801.2018035

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Analysis of energy consumption of two kinds of edge caching strategies in heterogeneous networks

research and development | 更新时间：2024-06-05

- Analysis of energy consumption of two kinds of edge caching strategies in heterogeneous networks
- Telecommunications Science Vol. 34, Issue 1, Pages: 17-26(2018)
- 作者机构：
  
  1. 南京邮电大学通信与信息工程学院，江苏南京 210003
  2. 南京邮电大学江苏省通信与网络技术工程研究中心，江苏南京 210003
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2018035
  CLC： TN929.5
- Published Online：2018-01，
  
  Published：20 January 2018
- 稿件说明：
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Yi SUN, Hong WANG, Rongfang SONG. Analysis of energy consumption of two kinds of edge caching strategies in heterogeneous networks[J]. Telecommunications science, 2018, 34(1): 17-26.
DOI：

Yi SUN, Hong WANG, Rongfang SONG. Analysis of energy consumption of two kinds of edge caching strategies in heterogeneous networks[J]. Telecommunications science, 2018, 34(1): 17-26. DOI： 10.11959/j.issn.1000-0801.2018035.

摘要

研究了两层异构网络在两种不同缓存策略下的能量消耗。首先，对支持缓存的异构网络能耗的各个组成部分分别进行了建模；其次，在一定中断概率条件下，推导了异构网络能量消耗与小基站分布密度、用户负载及缓存容量之间的关系表达式。仿真结果表明，边缘缓存技术的引入能够有效降低异构网络的能量消耗，而对于不同的小基站分布密度和用户负载，两种缓存策略的优劣性是不同的。两种缓存策略的总能耗和平均能耗分别随小基站分布密度和小基站用户负载的增加而降低。小基站的缓存容量也会对系统能量消耗产生不可忽视的影响。

Abstract

The energy consumption of a two-tier heterogeneous network under two different caching strategies was analyzed.Firstly

the energy consumption of each network components was modelled

and the relationship between the energy consumption of heterogeneous networks and the distribution density of small cell

user load per cell and caching capacity was investigated.The simulation results show that edge caching can effectively reduce the energy consumption of heterogeneous networks and the performance of the two caching strategies are different under different density of small base station and user load.Specifically

the energy consumption of both the network and per user under the two caching strategies are reduced with the increase of the density of small base station and the user load per cell

respectively.Furthermore

the influence of small base station’s caching capacity can not be neglected in total energy consumption.

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Keywords

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