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Dominant factors for device-to-device occurrence probabilities in cellular networks

机译:蜂窝网络中设备到设备出现概率的主要因素

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Device-to-device (D2D) communication is expected to be part of future cellular networks. It is commonly assumed that D2D links will exist and need to be managed. However, the question with what probability D2D links will occur in a network and by which parameters this occurrence is influenced, has not been posed yet. We assume a certain event flow, consisting of (1) the occurrence of communication requirements (2) device pairing and (3) mode selection, that leads to the existence of a D2D flow. Under this event flow, we are interested in the influence of service penetration among UEs, pairing strategies and mode selection types on the occurrence probabilities of D2D communication. We propose a stochastic geometry based formula framework which captures the mean number of D2D links that occur in a certain area. This framework reveals a saturation effect of D2D flows and an interesting interplay among the device pairing and mode selection step. We show that any existing network that uses the considered action flow can be described with this framework and further, by simulation, that it can be used to correctly predict D2D occurrence probabilities.
机译:设备到设备(D2D)通信有望成为未来蜂窝网络的一部分。通常假定D2D链接将存在并且需要进行管理。然而,尚未提出问题,即在网络中将出现D2D链路的概率是多少,以及该事件受到哪些参数的影响。我们假设某个事件流由(1)通信需求的发生(2)设备配对和(3)模式选择组成,该事件流导致D2D流的存在。在此事件流下,我们对UE之间的服务渗透,配对策略和模式选择类型对D2D通信发生概率的影响感兴趣。我们提出了一个基于随机几何的公式框架,该框架捕获了在某个区域中发生的D2D链接的平均数量。该框架揭示了D2D流的饱和效应以及设备配对和模式选择步骤之间的有趣相互作用。我们表明,可以使用此框架描述使用考虑的操作流程的任何现有网络,并且通过仿真进一步证明,该网络可以用于正确预测D2D发生概率。

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