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Spectral Efficiency and Energy Efficiency Trade-Off in Cellular Networks Operating over kappa-mu Shadowed Fading Channels

机译:通过kappa-mu阴影衰落信道工作的蜂窝网络的频谱效率和能效折衷

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Unbounded growth in cellular traffic is continuing to increase network power consumption meaning that the need for energy efficient cellular network design is more critical than ever. To find the trade-off between the spectral and energy efficiency, stochastic geometry has been widely employed where the cellular nodes are considered as being distributed according to a Poisson point process (PPP). Most of the prior works using stochastic geometry commonly assumed Rayleigh fading as the de facto fading model due to its tractability and simplicity. However, the propagation environments in which emerging cellular networks will operate, are diverse in nature, constituted by many different propagation phenomena which can not be fully captured by the Rayleigh distribution. To incorporate these physical attributes into the calculation of the network performance metrics, we consider κ-μ shadowed fading, which contains the majority of the well-known fading models as special cases. Using stochastic geometry, we evaluate the spectral efficiency and energy efficiency of a K-tier HetNet with K classes of BSs, differing in terms of the transmit power, BS density, shadowing and fading. Through numerical evaluation, we observe a trade-off relationship between the shadowing and fading parameters, spectral efficiency and energy efficiency, which provides important new insights into energy efficient network design.
机译:蜂窝通信量的无止境增长正在继续增加网络功耗,这意味着对节能蜂窝网络设计的需求比以往任何时候都更为重要。为了找到频谱效率和能量效率之间的折衷,已经广泛采用了随机几何结构,其中根据波森点过程(PPP)将蜂窝节点视为分布式。由于随机性和简单性,大多数使用随机几何的现有工作通常都将瑞利衰落作为事实上的衰落模型。然而,新兴蜂窝网络将在其中运行的传播环境本质上是多种多样的,由许多不同的传播现象构成,而瑞利分布无法完全捕获这些现象。为了将这些物理属性整合到网络性能指标的计算中,我们考虑了κ-μ阴影衰落,其中包含大多数众所周知的衰落模型为特例。使用随机几何,我们评估具有K类BS的K层HetNet的频谱效率和能效,它们在发射功率,BS密度,阴影和衰落方面有所不同。通过数值评估,我们观察到了阴影和衰落参数,频谱效率和能源效率之间的折衷关系,这为节能网络设计提供了重要的新见解。

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