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UMa Large-Scale O2I Modeling and Base Station Number Optimization

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Abstract

The Large-scale fading model of wireless channels plays an important role in the design and analysis of green communication systems and networks. In this paper, we conduct the propagation measurement in the urban macrocell (UMa) outdoor-to-indoor (O2I) scenario at 39 GHz. Based on the field measurement data, we modify the path loss model specified by the 3GPP TR38.901 standard. Furthermore, using the proposed channel model, we analyze the optimal number of base stations (BSs) in a given area to minimize the total power consumption of all the BSs, including both the statistic power and transmitting power. The proposed channel model and optimization solution can be utilized to design green communication systems especially for the millimeter wave wireless networks.

This work was supported in part by the National Natural Science Foundation of China (61571370, 61601365, and 61801388), in part by the Fundamental Research Funds for the Central Universities (3102017OQD091 and 3102017GX08003), and in part by the China Postdoctoral Science Foundation (BX20180262).

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Correspondence to Yutong Wang .

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Wang, Y., Zhai, D., Zhang, R., Jiang, Y., Guo, Q. (2019). UMa Large-Scale O2I Modeling and Base Station Number Optimization. In: Li, B., Yang, M., Yuan, H., Yan, Z. (eds) IoT as a Service. IoTaaS 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 271. Springer, Cham. https://doi.org/10.1007/978-3-030-14657-3_40

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  • DOI: https://doi.org/10.1007/978-3-030-14657-3_40

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-14656-6

  • Online ISBN: 978-3-030-14657-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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