Effects of directivity on wireless network complexity

A. Cika, J. Coon, Sunwoo Kim
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引用次数: 10

Abstract

We study the effect of anisotropic radiation on wireless network complexity. To this end, we model a wireless network as a random geometric graph where nodes have random antenna orientations as well as random positions, and communication is affected by Rayleigh fading. Complexity is quantified by computing the Shannon entropy of the underlying graph model. We use this formalism to develop analytic scaling results that describe how complexity can be controlled by varying key system parameters such as the transmit power and the directivity of transmissions in large-scale networks. Our results point to striking contrasts between power scaling and directivity scaling in the large connection range regime.
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指向性对无线网络复杂性的影响
研究了各向异性辐射对无线网络复杂度的影响。为此,我们将无线网络建模为随机几何图,其中节点具有随机天线方向和随机位置,并且通信受到瑞利衰落的影响。通过计算底层图模型的香农熵来量化复杂性。我们使用这种形式来开发分析缩放结果,描述如何通过改变关键系统参数(如大规模网络中的发射功率和传输的指向性)来控制复杂性。我们的结果指出了在大连接范围内功率缩放和指向性缩放之间的显著对比。
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Keynote speaker Keynote speaker Ad-Hoc, Mobile, and Wireless Networks: 19th International Conference on Ad-Hoc Networks and Wireless, ADHOC-NOW 2020, Bari, Italy, October 19–21, 2020, Proceedings Retraction Note to: Mobility Aided Context-Aware Forwarding Approach for Destination-Less OppNets Ad-Hoc, Mobile, and Wireless Networks: 18th International Conference on Ad-Hoc Networks and Wireless, ADHOC-NOW 2019, Luxembourg, Luxembourg, October 1–3, 2019, Proceedings
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