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Poisson Point Process Study of the Functionality of Inband Overlay Device to Device Communication

机译:泊松点处理与设备通信的带覆盖装置功能的研究

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Device to Device communication (D2D) has an important role in the transition from base station oriented network to the next generation infrastructure less wireless network. Considering application specific proximity based services, D2D communication can offload base station from huge data traffic which in turn improve the cellular network service. This will be in turn a more energy efficient step towards Green Communication paradigm. In this article, a unified independent marked Poisson Point Process (imPPP) based analytical framework has been presented to analyze the offloading gain of D2D communication and impact of that on the performance of the cellular network. Poisson Point Process (which is having the highest entropy among all another point processes) is a very effective mathematical tool to model randomly distributed nodes in a spatial domain. Aggregated interference from spatially distributed interferers characterized through the presented mathematical framework. Rayleigh fading which is a generalized version of Nakagami-m (following gamma distribution) fading distribution (same as Rayleigh fading (following exponential distribution) when shape factor m=1) has been considered to analyze the effect of the propagation characteristic on link level performance. The impact of different traffic patterns (Slotted-synchronous and Siotted-asynchronous) on throughput also presented through statistical analysis and simulation study. MatLab based simulation study has been carried out to validate the presented analytical framework for performance analysis of D2D assisted cellular network according to the standard simulation parameters mentioned in 3GPP Release-12.
机译:设备通信(D2D)在从基站定向网络到下一代基础设施较少的无线网络中的转换中具有重要作用。考虑到基于应用的特定邻近的服务,D2D通信可以从大量数据流量卸载基站,从而改善蜂窝网络服务。这将反过来朝着绿色通信范式更节能的步骤。在本文中,已经提出了一个基于统一的独立标记的泊松点进程(IMPPP)的分析框架,以分析D2D通信的卸载增益和对蜂窝网络性能的影响。泊松点过程(在所有其他点过程中具有最高的熵)是一个非常有效的数学工具,用于在空间域中模拟随机分布的节点。来自空间分布的干扰的聚合干扰,其特征通过所提出的数学框架。 Rayleigh衰落是Nakagami-M的广义版本(伽玛分布之后)衰落分布(当形状因子m = 1时的瑞利衰落(遵循指数分布))被认为是分析传播特性对链路水平性能的影响。通过统计分析和仿真研究介绍了不同交通模式(开槽 - 同步和旋转异步)对吞吐量的影响。已经进行了基于MATLAB的仿真研究,以验证了根据3GPP Release-12中提到的标准仿真参数的D2D辅助蜂窝网络性能分析的所呈现的分析框架。

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