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Energy-aware deployment of dense heterogeneous cellular networks with QoS constraints


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The base station (BS) configuration is a key factor to improve energy efficiency (EE). In this paper, we focus on designing the network deployment parameters (i.e., BS densities) for biased K-tier heterogeneous cellular network (HCN) with quality of service (QoS) provisioning. Using appropriate approximations, we derive the closed-form expressions of optimal BS density across all tiers to minimize the area power consumption (APC) by applying the stochastic geometry theory, while satisfying the users’ QoS requirements. These results are used to obtain some new insights into the EE performance of biased HCN deployment. With the aid of this approach, the best type of BSs to be deployed or switched off for energy saving purposes can be identified from the perspectives of BS transmission power. More precisely, if the BS transmission power ratio between an arbitrary pair of tiers of K-tier HCN, e.g., the small cell BS and macro BS tiers, is higher than a threshold which is a function of path loss exponent, bias factor and power consumption, the small cell BSs are preferred. The opposite situation takes place otherwise. Furthermore, it is also shown that, compared to the unbiased HCN scenario, significant energy savings are possible by appropriately biasing the HCN and optimizing the BS density, subject to the QoS constraints among all tiers.



本文从全网角度研究任意K层偏置异构蜂窝网络部署问题, 基于随机几何数学理论推导出在满足每一层网络中用户速率覆盖需求的约束下最小化网络能耗的基站部署密度闭式解, 进一步得出能效最优的基站部署类型。当K层异构网络中任意两层(例如第i层和第j层)的基站发射功率之比大于特定门限(与路损因子、偏置因子及基站功耗相关)时, 尽可能多的部署第i层基站, 关闭第j层基站, 优化的基站部署密度由闭式解得到。反之则优化的部署策略相反。相比于非偏置异构网络, 偏置异构网络通过合理的设置偏置因子可以显著节能。


在满足每一层网络用户速率覆盖需求的约束条件下, 研究基于能效的任意K层偏置异构网络的最优部署策略。

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Correspondence to Qimei Cui.

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Cui, Q., Cui, Z., Zheng, W. et al. Energy-aware deployment of dense heterogeneous cellular networks with QoS constraints. Sci. China Inf. Sci. 60, 042303 (2017). https://doi.org/10.1007/s11432-016-0249-9

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  • heterogeneous cellular networks
  • stochastic geometry
  • energy efficiency
  • BS density
  • energy saving


  • 异构蜂窝网络
  • 随机几何
  • 能效
  • 基站密度
  • 节能