Uma large-scale o2i modeling and base station number optimization

Yutong Wang; Daosen Zhai; Ruonan Zhang; Yi Jiang; Qi Guo

doi:10.1007/978-3-030-14657-3_40

Uma large-scale o2i modeling and base station number optimization

Yutong Wang, Daosen Zhai, Ruonan Zhang, Yi Jiang, Qi Guo

School of Electronics and Information

Northwestern Polytechnical University Xian

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

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.

Original language	English
Title of host publication	IoT as a Service- 4th EAI International Conference, IoTaaS 2018, Proceedings
Editors	Bo Li, Mao Yang, Zhongjiang Yan, Hui Yuan
Publisher	Springer Verlag
Pages	393-400
Number of pages	8
ISBN (Print)	9783030146566
DOIs	https://doi.org/10.1007/978-3-030-14657-3_40
State	Published - 2019
Event	4th International Conference on IoT as a Service, IoTaaS 2018 - Xi’an, China Duration: 17 Nov 2018 → 18 Nov 2018

Publication series

Name	Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume	271
ISSN (Print)	1867-8211

Conference

Conference	4th International Conference on IoT as a Service, IoTaaS 2018
Country/Territory	China
City	Xi’an
Period	17/11/18 → 18/11/18

Keywords

Green communication
Outdoor-to-indoor (O2I)
Urban macro (UMa)

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10.1007/978-3-030-14657-3_40

Cite this

Wang, Y., Zhai, D., Zhang, R., Jiang, Y., & Guo, Q. (2019). Uma large-scale o2i modeling and base station number optimization. In B. Li, M. Yang, Z. Yan, & H. Yuan (Eds.), IoT as a Service- 4th EAI International Conference, IoTaaS 2018, Proceedings (pp. 393-400). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 271). Springer Verlag. https://doi.org/10.1007/978-3-030-14657-3_40

Wang, Yutong ; Zhai, Daosen ; Zhang, Ruonan et al. / Uma large-scale o2i modeling and base station number optimization. IoT as a Service- 4th EAI International Conference, IoTaaS 2018, Proceedings. editor / Bo Li ; Mao Yang ; Zhongjiang Yan ; Hui Yuan. Springer Verlag, 2019. pp. 393-400 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST).

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title = "Uma large-scale o2i modeling and base station number optimization",

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.",

keywords = "Green communication, Outdoor-to-indoor (O2I), Urban macro (UMa)",

author = "Yutong Wang and Daosen Zhai and Ruonan Zhang and Yi Jiang and Qi Guo",

note = "Publisher Copyright: {\textcopyright} ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019.; 4th International Conference on IoT as a Service, IoTaaS 2018 ; Conference date: 17-11-2018 Through 18-11-2018",

year = "2019",

doi = "10.1007/978-3-030-14657-3_40",

language = "英语",

isbn = "9783030146566",

series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",

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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 B Li, M Yang, Z Yan & H Yuan (eds), IoT as a Service- 4th EAI International Conference, IoTaaS 2018, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, vol. 271, Springer Verlag, pp. 393-400, 4th International Conference on IoT as a Service, IoTaaS 2018, Xi’an, China, 17/11/18. https://doi.org/10.1007/978-3-030-14657-3_40

Uma large-scale o2i modeling and base station number optimization. / Wang, Yutong; Zhai, Daosen ; Zhang, Ruonan et al.
IoT as a Service- 4th EAI International Conference, IoTaaS 2018, Proceedings. ed. / Bo Li; Mao Yang; Zhongjiang Yan; Hui Yuan. Springer Verlag, 2019. p. 393-400 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 271).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Uma large-scale o2i modeling and base station number optimization

AU - Wang, Yutong

AU - Zhai, Daosen

AU - Zhang, Ruonan

AU - Jiang, Yi

AU - Guo, Qi

N1 - Publisher Copyright: © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019.

PY - 2019

Y1 - 2019

N2 - . 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.

AB - . 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.

KW - Green communication

KW - Outdoor-to-indoor (O2I)

KW - Urban macro (UMa)

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SN - 9783030146566

T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST

SP - 393

EP - 400

BT - IoT as a Service- 4th EAI International Conference, IoTaaS 2018, Proceedings

A2 - Li, Bo

A2 - Yang, Mao

A2 - Yan, Zhongjiang

A2 - Yuan, Hui

PB - Springer Verlag

T2 - 4th International Conference on IoT as a Service, IoTaaS 2018

Y2 - 17 November 2018 through 18 November 2018

ER -

Wang Y, Zhai D , Zhang R, Jiang Y, Guo Q. Uma large-scale o2i modeling and base station number optimization. In Li B, Yang M, Yan Z, Yuan H, editors, IoT as a Service- 4th EAI International Conference, IoTaaS 2018, Proceedings. Springer Verlag. 2019. p. 393-400. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST). doi: 10.1007/978-3-030-14657-3_40

Uma large-scale o2i modeling and base station number optimization

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