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Millimeter-wave Human Blockage Model Enhancements for Directional Antennas and Multiple Blockers

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Millimeter-wave Human Blockage Model Enhancements for Directional Antennas and Multiple Blockers

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Prado-Alvarez, D.; Inca-Sánchez, SA.; Martín-Sacristán, D.; Monserrat Del Río, JF. (2021). Millimeter-wave Human Blockage Model Enhancements for Directional Antennas and Multiple Blockers. IEEE Communications Letters. 25(9):2776-2780. https://doi.org/10.1109/LCOMM.2021.3095617

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/177179

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Title: Millimeter-wave Human Blockage Model Enhancements for Directional Antennas and Multiple Blockers
Author: Prado-Alvarez, Danaisy Inca-Sánchez, Saúl Adrián Martín-Sacristán, David Monserrat del Río, Jose Francisco
UPV Unit: Universitat Politècnica de València. Instituto Universitario de Telecomunicación y Aplicaciones Multimedia - Institut Universitari de Telecomunicacions i Aplicacions Multimèdia
Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions
Issued date:
Abstract:
[EN] The Third Generation Partnership Project (3GPP) has defined a blockage model as an add-on feature to the channel model used in its evaluations of the physical layer in the 0.5-100 GHz frequency range. This letter ...[+]
Subjects: Body blockage model , Multiple blockers , Millimeter-wave , 3GPP
Copyrigths: Reserva de todos los derechos
Source:
IEEE Communications Letters. (issn: 1089-7798 )
DOI: 10.1109/LCOMM.2021.3095617
Publisher:
Institute of Electrical and Electronics Engineers
Publisher version: https://doi.org/10.1109/LCOMM.2021.3095617
Project ID:
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-099880-B-C31/ES/ROBOTICA EN LA NUBE Y EL IMPACTO DE LAS REDES 5G EN LA FABRICA DEL FUTURO/
info:eu-repo/grantAgreement/UPV-VIN//PAID-01-19-18//5G-SMART 5G for Smart Manufacturing/
info:eu-repo/grantAgreement/EC/H2020/766231/EU/mmWave Communications in the Built Environments/
Thanks:
The work of Danaisy Prado-Alvarez was supported by the H2020 Marie Curie Program, with Project Grant No. 766231 WAVECOMBE-ITN-2017. Part of this work has been performed in the framework of the H2020 project 5G-SMART co-funded ...[+]
Type: Artículo

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