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  • 标题:Energy Efficient Base Station Density Analysis for Heterogeneous Networks with eICIC
  • 本地全文:下载
  • 作者:Yanzan Sim ; Wenqing Xia ; Yating Wu
  • 期刊名称:Journal of Communications
  • 印刷版ISSN:1796-2021
  • 出版年度:2018
  • 卷号:13
  • 期号:2
  • 页码:60-66
  • DOI:10.12720/jcm.13.2.60-66
  • 语种:English
  • 出版社:ACADEMY PUBLISHER
  • 摘要:Heterogeneous Networks (HetNets), where low-power nodes are overlaid on the traditional macro base station (MBS), have been investigated as a promising paradigm to support the deluge of data traffic with higher spectral efficiency and energy efficiency. However, the density of BS and the intertier interference are the two important influence factors for the network performance implementation. As for the inter-tier interferences, time domain Enhanced Inter-cell Interference Coordination (eICIC) technique is adopted to mitigate it and improve the system capacity for HetNets in LTE-Advanced. In this, the reasonable configuration of the density of base stations is very essential for the network performance improvement, especially for the network energy optimization. Thus in this paper, we deduce the closed-form of network energy efficiency as a function of the density of BSs with elCIC technology based on stochastic geometry theory. Then the impacts of the BSs density on the network energy efficiency is further analyzed by simulation. Simulation results show that the theoretical derivation is verified well by Monte Carlo simulation and the reasonable BSs density configuration can improve the network energy efficiency effectively.
  • 关键词:HetNets;eICIC;energy efficiency;stochastic geometry
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