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Cited by 1,227

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Millimeter wave wireless communications: new results for rural connectivity

Open access
MacCartney, George R., Sun, Shu, Rappaport, Theodore S., Xing, Yunchou, Yan, Hangsong, Koka, Jeton, Wang, Ruichen, Yu, Dian·2016·Proceedings of the 5th Workshop on All Things Cellular: Operations, Applications and Challenges

Abstract

This paper shows the remarkable distances that can be achieved using millimeter wave communications, and presents a new rural macrocell (RMa) path loss model for millimeter wave frequencies, based on measurements at 73 GHz in rural Virginia. Path loss models are needed to estimate signal coverage and interference for wireless network design, yet little is known about rural propagation at millimeter waves. This work identifies problems with the RMa model used by the 3rd Generation Partnership Project (3GPP) TR 38.900 Release 14, and offers a close-in (CI) reference distance model that has improved accuracy, fewer parameters, and better stability as compared with the existing 3GPP RMa path loss model. The measurements and models presented here are the first to validate rural millimeter wave path loss models.

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Metadata

Authors
MacCartney, G. R., Sun, S., Rappaport, T. S., Xing, Y., Yan, H., Koka, J., Wang, R., & Yu, D.
Venue
Proceedings of the 5th Workshop on All Things Cellular: Operations, Applications and Challenges
Publisher
ACM
Published
2016-10-03
Pages
31-36
OpenAlex
W905396345
Cited by
1,227
References
0
FWCI
312.82
Type
conference paper
Language
en
Open access
gold

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CoChat. (2026). Citation check: Millimeter wave wireless communications: new results for rural connectivity. https://app.cochat.ai/papers/10.1145/2980055.2987353
The paper
MacCartney, G. R., Sun, S., Rappaport, T. S., Xing, Y., Yan, H., Koka, J., Wang, R., & Yu, D. (2016). Millimeter wave wireless communications: new results for rural connectivity. Proceedings of the 5th Workshop on All Things Cellular: Operations, Applications and Challenges. https://doi.org/10.1145/2980055.2987353

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.