Prediction of path loss in coastal and vegetative environments with deep learning at 5G sub-6 GHz-Reference-Cited by-同舟云学术

Prediction of path loss in coastal and vegetative environments with deep learning at 5G sub-6 GHz

Published:2023-04-08 Issue:6 Volume:29 Page:2471-2480
ISSN:1022-0038
Container-title:Wireless Networks
language:en
Short-container-title:Wireless Netw

Author:

Kayaalp Kiyas,Metlek Sedat,Genc Abdullah,Dogan Habib^ORCID,Basyigit İbrahim Bahadir

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems

Link

https://link.springer.com/content/pdf/10.1007/s11276-023-03285-w.pdf

Reference49 articles.

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3. Azevedo, J. A., & Santos, F. E. (2017). A model to estimate the path loss in areas with foliage of trees. AEU-International Journal of Electronics and Communications, 71, 157–161.

4. Eras, L. E. C., Silva, D. K. N. D., Barros, F. B., Correia, L. M., & Cavalcante, G. P. S. (2018). A radio propagation model for mixed paths in amazon environments for the uhf band. Wireless Communications and Mobile Computing, 2018, 1–15.

5. Basyigit, I. B., & Dogan, H. (2020). Troubleshooting of handover problems in 900 MHz for speech quality. Wireless Personal Communications, 114, 1833–1845.

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