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Poisson point process-based network modelling and performance analysis of multi-hop D2D chain relay formation in heterogeneous wireless network

机译:异构无线网络中基于泊松点过程的多跳D2D链中继形成的网络建模和性能分析

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摘要

This article presents stochastic geometry-based unified analytical framework to analyse the functionality of device-to-device (D2D) assisted cellular network in inband overlay mode. Independent marked Poisson point process (imPPP) is incorporated to probabilistically model the aggregate interference and SINR distribution of the randomly distributed nodes in the spatial domain. The proposed framework is applied to evaluate the overall network coverage probability improvement due to minimisation of congestion in the base station oriented core network by involving more devices in direct communication (through traffic offloading). Statistical analysis of slotted-synchronous and slotted-asynchronous traffic patterns in terms of throughput for varying transmission probability is also presented. From the application point of view, in the case of base station service interruption due to any natural calamity or power failure, the proposed multi-hop D2D chain relay formation helps to extend the cellular coverage in cell edges as well as in adjacent affected cell areas.
机译:本文提出了基于随机几何的统一分析框架,以在带内覆盖模式下分析设备到设备(D2D)辅助蜂窝网络的功能。结合独立的标记泊松点过程(imPPP),可以对空间域中随机分布的节点的总干扰和SINR分布进行概率建模。通过使更多设备参与直接通信(通过流量卸载),所提出的框架适用于评估由于面向基站的核心网络中的拥塞最小化而导致的总体网络覆盖概率提高。还给出了时隙同步和时隙异步流量模式在吞吐量方面的统计分析,用于变化的传输概率。从应用的角度来看,在由于任何自然灾害或电源故障而导致基站服务中断的情况下,建议的多跳D2D链中继形成有助于扩大小区边缘以及相邻受影响小区区域中的小区覆盖范围。

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