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Effect of Idle Mode Cells on the Ultra-Dense Dynamic TDD Networks

机译:空闲模式单元对超密集动态TDD网络的影响

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To satisfy the growing capacity demand of explosive traffic, ultra-dense network (UDN) is proposed as a key technology, where small cells are densified to fully exploit the spatial spectrum reuse gain. The decreasing coverage area of a small cell also leads to the obviously increasing traffic asymmetry in UL and DL within the same cell and among different cells. To adapt to the dynamic and asymmetric traffic within UDN, dynamic time-division duplex (DTDD) can be seen as a promising scheme due to its capability in the flexible adjustment of ratio of UL to DL subframes. In this paper, we propose a load-aware analytical framework to accurately characterize the network performance of a DTDD UDN with the emphasis on the effect of idle mode cells. With a practical multi-slope path loss model, we first derive the void probability of a random SAP and obtain the coverage probability and area spectral efficiency (ASE). Then we evaluate how the SAP void probability, UL/DL configuration and network density affect the network performance. Our numerical results show that the idle mode cells have significant effect on the network performance, which alters the variation tendency of coverage probability and ASE with the increasing network density.
机译:为了满足爆炸性交通日益增长的容量需求,提出了超密集网络(UDN)作为一项关键技术,在该技术中,小型小区被致密化,以充分利用空间频谱的重用增益。小型小区的覆盖面积的减小还导致同一小区内以及不同小区之间的UL和DL中的业务不对称性明显增加。为了适应UDN中的动态和非对称流量,由于动态时分双工(DTDD)具有灵活调整UL与DL子帧的比率的能力,因此可以将其视为有前途的方案。在本文中,我们提出了一种负载感知分析框架,以准确描述DTDD UDN的网络性能,重点是空闲模式信元的影响。借助实用的多坡度路径损耗模型,我们首先导出随机SAP的无效概率,然后获得覆盖概率和区域频谱效率(ASE)。然后,我们评估SAP无效概率,UL / DL配置和网络密度如何影响网络性能。我们的数值结果表明,空闲模式单元对网络性能有显着影响,随着网络密度的增加,其改变了覆盖概率和ASE的变化趋势。

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