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Coverage and Capacity Analysis with Stretched Exponential Path Loss in Ultra-Dense Networks

机译:超密集网络中具有扩展指数路径损耗的覆盖范围和容量分析

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The distinct features of Ultra-Dense Networks (UDNs), namely, the close proximity of the users to the serving base stations (BSs), the high idle mode probability and the increasing probability of Line-of-Sight (LOS) links to the serving BS, impose a set of requirements on the realistic and accurate modeling of the performance of such networks. In this paper, we consider modeling the path loss by a stretched exponential model which accurately addresses the short distances (5m-350m) between the (serving/interfering) BSs and the users in UDN. Moreover, we study the impact of turning off inactive BSs, as an effective interference mitigation scheme, on the performance of the network in terms of the coverage probability, the network throughput, and the area spectral efficiency. We employ tools from stochastic geometry to model the network as a Homogeneous Poisson Point Process (HPPP). Also, Rayleigh channel fading is assumed for tractability purposes. The results show the significant impact of the users' density on the network performance where the system's interference is upper-bounded mainly by the density of the active users, thanks to turning off the inactive BSs.
机译:超密集网络(UDNS)的不同特征,即用户对服务基站(BSS)的近距离接近,高空转模式概率和视线线(LOS)链路的增加概率服务BS,对这种网络性能的现实和准确建模施加一系列要求。在本文中,我们考虑通过拉伸指数模型的路径损耗来建立路径损耗,该模型精确地解决(服务/干扰)BSS和UDN中的用户之间的短距离(5M-350M)。此外,我们研究了在覆盖概率,网络吞吐量和面积光谱效率方面对网络性能进行了关闭非活动BSS作为有效干扰缓解方案的影响。我们采用从随机几何的工具来模拟网络作为均匀泊松点过程(HPPP)。此外,假设瑞利频道衰落以用于易移动性目的。结果表明,用户密度对网络性能的重大影响,系统的干扰主要由活性用户的密度为主要限制,因为关闭非活动BSS。

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