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System-Level Simulation Framework for Ultra-Dense Network

机译:超密集网络的系统级仿真框架

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In ultra-dense network (UDN), the dense deployment of small cells can effectively improve the network throughput. In order to analyze the performance of UDN system, we propose a system-level UDN simulation framework in this paper, including system architecture, channel model and site model. Unlike previous works, we give a complete simulation flow. The path loss model shows that Line-of-Sight (LOS) propagation probability is bigger than LTE. A modified Poisson point process (PPP) model is proposed to simulate a dynamic base-station deployment process which approximates the realistic scenario. In addition, considering the utilization rate of small cells (SCs) and the proportion of SCs users, we analyze the density of SCs with different association strategies. Based on the proposed framework, simulation results show that if the density of SCs is less than a threshold, we can obtain a linear gain of system throughput while keeping the average throughput increasing.
机译:在超密集网络(UDN)中,小型小区的密集部署可以有效地提高网络吞吐量。为了分析UDN系统的性能,本文提出了系统级的UDN仿真框架,包括系统架构,通道模型和站点模型。与以前的作品不同,我们给出了完整的仿真流程。路径损耗模型表明,视线(LOS)传播概率大于LTE。提出了一种改进的泊松点过程(PPP)模型来模拟动态基站部署过程,该过程近似于实际情况。此外,考虑到小型小区的使用率和小型用户的使用比例,我们分析了具有不同关联策略的小型小区的密度。基于提出的框架,仿真结果表明,如果SC的密度小于阈值,则可以在保持平均吞吐量增加的同时获得系统吞吐量的线性增益。

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