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Downlink heterogeneous small cell networks with cell associations in K-floor indoor scenarios

机译:下行链路异构小型电池网络,在K-Bloor室内情景中具有单元关联

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To support the unrelenting demand of services with gigabit data rates in indoor scenarios, a dense heterogeneous small cell network (HSCN) is presented as a promising paradigm for the fifth generation system. In this paper, the coverage probability for the downlink HSCN with three cell association methods, namely the nearest association, the N-th nearest association and the maximum received power based association, is analyzed. Particularly, small cell base stations SCBSs randomly deployed in each floor are modeled as a spatial Poisson point process (PPP) distribution, and the stochastic geometry tool is used to evaluate the coverage probability. Different from the traditional outdoor scenario, the penetration loss is considered and the corresponding impact on the coverage probability is analyzed. The closed-form expressions of coverage probability for these three association methods are derived for HSCNs in the dense K-floor indoor scenarios. Simulation results validate the accuracy of our analysis and show that the coverage performance for the maximum received power based association method is much better than that of the N-th nearest association method regardless of the SCBS density in each floor. Meanwhile, the nearest association approaches the the maximum received power based association method when the SCBS density is high.
机译:为了支持在室内情景中具有千兆数据率的服务的不懈需求,致密的异构小型电池网络(HSCN)被呈现为第五代系统的有希望的范式。在本文中,分析了具有三个小区关联方法的下行链路HSCN的覆盖概率,即最近的关联,最接近的关联,最接近的关联和最大接收功率基于基于关联。特别地,在每个楼层中随机部署的小电池基站SCBS被建模为空间泊松点处理(PPP)分布,并且随机几何工具用于评估覆盖概率。与传统的户外情景不同,考虑了渗透损失,分析了对覆盖概率的相应影响。这三种关联方法的覆盖概率的封闭表达是在密集的K地板室内场景中的HSCN来源的。仿真结果验证了我们分析的准确性,并表明,无论每个楼层中的SCBS密度如何,最大接收功率的关联方法的覆盖性能远远大得多。同时,当SCBS密度高时,最近的关联方法接近基于最大接收的功率的关联方法。

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