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

Qimei Cui*, Zhiyan Cui, Wei Zheng, Riku Jäntti, Weiliang Xie

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

6 Citations (Scopus)


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.

Original languageEnglish
Article number042303
Number of pages18
Issue number4
Publication statusPublished - 1 Apr 2017
MoE publication typeA1 Journal article-refereed


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


Dive into the research topics of 'Energy-aware deployment of dense heterogeneous cellular networks with QoS constraints'. Together they form a unique fingerprint.

Cite this