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Analysis of Downlink Heterogeneous Cellular Networks with Frequency Division: A Stochastic Geometry Way

机译:具有频分的下行异构蜂窝网络的分析:一种随机几何方法

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As cells are getting smaller, more random and chaotic in future heterogeneous cellular networks (HCNs), mitigating interference to enhance coverage performance has become one of the key challenges. To elucidate the coverage and throughput performance of downlink HCNs, a tractable framework with frequency division (FD) scenario is provided. Coverage probability and average cell throughput expressions are carried out to further understand how FD effects system performance with the stochastic geometry treatment. Furthermore, with some plausible assumptions, we derive the specific closed-form expressions in some special cases. Simulation results show that the coverage performance is effectively improved by using FD comparing with conventional frequency sharing (FS) scenario, which are firmly consistent with our theoretical derivation. The analytical results of the present work also demonstrate that although some throughput will be lost compared to FS, it is still acceptable since UEs could choose any tier which offers greatest performance under FD scenario, hence this work further provides mobile operators a guideline for resource allocation schemes in future chaotic multi-tier networks.
机译:随着蜂窝在未来的异构蜂窝网络(HCN)中变得越来越小,越来越随机和混乱,减轻干扰以增强覆盖性能已成为关键挑战之一。为了阐明下行链路HCN的覆盖范围和吞吐量性能,提供了具有频分(FD)场景的易于处理的框架。进行覆盖概率和平均小区吞吐量表达式以进一步了解FD如何通过随机几何处理影响系统性能。此外,在一些合理的假设下,我们在某些特殊情况下得出了特定的封闭形式表达式。仿真结果表明,与传统的频率共享(FS)方案相比,使用FD可以有效地提高覆盖性能,这与我们的理论推论是一致的。当前工作的分析结果还表明,尽管与FS相比会损失一些吞吐量,但仍可以接受,因为UE可以选择在FD情况下性能最高的任何层,因此,这项工作进一步为移动运营商提供了资源分配指南未来的混沌多层网络中的各种方案。

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