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Performance Analysis of D2D-Aided Underlaying Cellular Networks Based on Poisson Hole Cluster Process

机译:基于泊松孔集群过程的D2D辅助底层蜂窝网络性能分析

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摘要

D2D (Device-to-Device) communication has become a crucial part of 4G and 5G networks. It can not only decrease the transmit power of user equipments (UEs) and increase area spectral efficiency of cellular networks, but also offload traffic from cellular networks and alleviate scarcity of spectrum resources by using in-band communication. In this paper, we consider a real tele-communication scenario in which the mobile UEs are primarily located in hotspots and cell edges. By integrating Poisson Hole Process with Thomas Cluster Process, a kind of D2D-Aided Underlaying Cellular Networks (D2D-UCNs) is built. In the D2D-UCNs, we first investigate the aggregation interference of the typical UE and D2D user by using stochastic geometry. Subsequently we analyze their coverage probability and area spectral efficiency. The simulation results show that the coverage probability of D2D users and UEs can be effectively guaranteed by establishing exclusion zone, whilst the area spectral efficiency of the D2D-UCNs can be maximized by optimizing the number of simultaneously active D2D links.
机译:D2D(设备到设备)通信已成为4G和5G网络的关键部分。它不仅可以降低用户设备(UE)的发射功率,以及增加蜂窝网络的区域谱效率,而且还通过使用带内通信来减轻来自蜂窝网络的流量并减轻频谱资源的稀缺性。在本文中,我们考虑了一个真正的远程通信场景,其中移动UE主要位于热点和小区边缘中。通过将泊松孔过程与托马斯集群过程集成,建立了一种D2D辅助底层蜂窝网络(D2D-UCNS)。在D2D-UCN中,我们首先通过使用随机几何体来研究典型的UE和D2D用户的聚合干扰。随后,我们分析了覆盖概率和面积光谱效率。仿真结果表明,通过建立排除区,可以有效地保证D2D用户和UE的覆盖概率,而D2D-UCN的面积谱效率可以通过优化同时有源D2D链路的数量来最大化。

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