Neuroevolution-based adaptive antenna array beamforming scheme to improve the V2V communication performance at intersections
Author
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Kang Kim, Hojin
Author
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Becerra, Raimundo
Author
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Bolufé Águila, Sandy
Author
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Azurdia Meza, César
Author
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Montejo Sánchez, Samuel
Author
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Zabala Blanco, David
Admission date
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2021-11-03T21:56:41Z
Available date
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2021-11-03T21:56:41Z
Publication date
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2021
Cita de ítem
dc.identifier.citation
2021, 21, 2956
es_ES
Identifier
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10.3390/s21092956
Identifier
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https://repositorio.uchile.cl/handle/2250/182557
Abstract
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The opportunistic exchange of information between vehicles can significantly contribute to reducing the occurrence of accidents and mitigating their damages. However, in urban environments, especially at intersection scenarios, obstacles such as buildings and walls block the line of sight between the transmitter and receiver, reducing the vehicular communication range and thus harming the performance of road safety applications. Furthermore, the sizes of the surrounding vehicles and weather conditions may affect the communication. This makes communications in urban V2V communication scenarios extremely difficult. Since the late notification of vehicles or incidents can lead to the loss of human lives, this paper focuses on improving urban vehicle-to-vehicle (V2V) communications at intersections by using a transmission scheme able of adapting to the surrounding environment. Therefore, we proposed a neuroevolution of augmenting topologies-based adaptive beamforming scheme to control the radiation pattern of an antenna array and thus mitigate the effects generated by shadowing in urban V2V communication at intersection scenarios. This work considered the IEEE 802.11p standard for the physical layer of the vehicular communication link. The results show that our proposal outperformed the isotropic antenna in terms of the communication range and response time, as well as other traditional machine learning approaches, such as genetic algorithms and mutation strategy-based particle swarm optimization.
es_ES
Patrocinador
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Vicerrectoria de Investigacion y Desarrollo (VID) de la Universidad de Chile Proyecto ENL 01/20
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Lenguage
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en
es_ES
Publisher
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MDPI
es_ES
Type of license
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Attribution-NonCommercial-NoDerivs 3.0 United States