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Path Loss Predictions in the VHF and UHF Bands Within Urban Environments: Experimental Investigation of Empirical, Heuristics and Geospatial Models

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Path Loss Predictions in the VHF and UHF Bands Within Urban Environments: Experimental Investigation of Empirical, Heuristics and Geospatial Models

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Faruk, N.; Popoola, SI.; Surajudeen-Bakinde, NT.; Oloyede, AA.; Abdulkarim, A.; Olawoyin, LA.; Ali, M.... (2019). Path Loss Predictions in the VHF and UHF Bands Within Urban Environments: Experimental Investigation of Empirical, Heuristics and Geospatial Models. IEEE Access. 7:77293-77307. https://doi.org/10.1109/ACCESS.2019.2921411

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/142516

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Title: Path Loss Predictions in the VHF and UHF Bands Within Urban Environments: Experimental Investigation of Empirical, Heuristics and Geospatial Models
Author: Faruk, Nasir Popoola, Segun I. Surajudeen-Bakinde, Nazmat T. Oloyede, Abdulkarim A. Abdulkarim, Abubakar Olawoyin, Lukman A. Ali, Maaruf Tavares De Araujo Cesariny Calafate, Carlos Miguel Atayero, Aderemi A.
UPV Unit: Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors
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Abstract:
[EN] Deep knowledge of how radio waves behave in a practical wireless channel is required for effective planning and deployment of radio access networks in urban environments. Empirical propagation models are popular for ...[+]
Subjects: ANFIS , Artificial neural networks , Backpropagation , Path loss , Kriging , Radio propagation
Copyrigths: Reserva de todos los derechos
Source:
IEEE Access. (eissn: 2169-3536 )
DOI: 10.1109/ACCESS.2019.2921411
Publisher:
Institute of Electrical and Electronics Engineers
Publisher version: https://doi.org/10.1109/ACCESS.2019.2921411
Project ID:
AEI/RTI2018-096384-B-I00-AR
Description: (c) 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Thanks:
This work was supported jointly by the funding received from IoT-Enabled Smart and Connected Communities (SmartCU) Research Cluster and the Center for Research, Innovation and Discovery (CUCRID) of Covenant University, ...[+]
Type: Artículo

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