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Area Spectral Efficiency and Energy Efficiency Tradeoff in Ultradense Heterogeneous Networks

机译:超密集异构网络中的区域频谱效率和能效折衷

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摘要

In order to meet the demand of explosive data traffic, ultradense base station (BS) deployment in heterogeneous networks (HetNets) as a key technique in 5G has been proposed. However, with the increment of BSs, the total energy consumption will also increase. So, the energy efficiency (EE) has become a focal point in ultradense HetNets. In this paper, we take the area spectral efficiency (ASE) into consideration and focus on the tradeoff between the ASE and EE in an ultradense HetNet. The distributions of BSs in the two-tier ultradense HetNet are modeled by two independent Poisson point processes (PPPs) and the expressions of ASE and EE are derived by using the stochastic geometry tool. The tradeoff between the ASE and EE is formulated as a constrained optimization problem in which the EE is maximized under the ASE constraint, through optimizing the BS densities. It is difficult to solve the optimization problem analytically, because the closed-form expressions of ASE and EE are not easily obtained. Therefore, simulations are conducted to find optimal BS densities.
机译:为了满足爆炸性数据流量的需求,已经提出了将异构网络(HetNets)中的超稠密基站(BS)部署为5G的关键技术。但是,随着基站数量的增加,总能耗也会增加。因此,能源效率(EE)已成为超密HetNets的重点。在本文中,我们考虑了区域光谱效率(ASE),并着重讨论了在超密集HetNet中ASE与EE之间的权衡。通过两个独立的泊松点过程(PPP)对两层超密HetNet中的BS分布进行建模,并使用随机几何工具推导ASE和EE的表达式。 ASE和EE之间的权衡被公式化为一个约束优化问题,其中通过优化BS密度在ASE约束下最大化EE。由于不容易获得ASE和EE的闭式表达式,因此很难通过解析来解决优化问题。因此,进行仿真以找到最佳的BS密度。

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