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Application of Radio Environment Map Reconstruction Techniques to Platoon-based Cellular V2X Communications
Vehicle platoons involve groups of vehicles travelling together at a constant inter-vehicle distance, with different common benefits such as increasing road efficiency and fuel saving. Vehicle platooning requires highly reliable wireless communications to keep the group structure and carry out coord...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7249169/ https://www.ncbi.nlm.nih.gov/pubmed/32344805 http://dx.doi.org/10.3390/s20092440 |
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author | Roger, Sandra Botella, Carmen Pérez-Solano, Juan J. Perez, Joaquin |
author_facet | Roger, Sandra Botella, Carmen Pérez-Solano, Juan J. Perez, Joaquin |
author_sort | Roger, Sandra |
collection | PubMed |
description | Vehicle platoons involve groups of vehicles travelling together at a constant inter-vehicle distance, with different common benefits such as increasing road efficiency and fuel saving. Vehicle platooning requires highly reliable wireless communications to keep the group structure and carry out coordinated maneuvers in a safe manner. Focusing on infrastructure-assisted cellular vehicle to anything (V2X) communications, the amount of control information to be exchanged between each platoon vehicle and the base station is a critical factor affecting the communication latency. This paper exploits the particular structure and characteristics of platooning to decrease the control information exchange necessary for the channel acquisition stage. More precisely, a scheme based on radio environment map (REM) reconstruction is proposed, where geo-localized received power values are available at only a subset of platoon vehicles, while large-scale channel parameters estimates for the rest of platoon members are provided through the application of spatial Ordinary Kriging (OK) interpolation. Distinctive features of the vehicle platooning use case are explored, such as the optimal patterns of vehicles within the platoon with available REM values for improving the quality of the reconstruction, the need for an accurate semivariogram modeling in OK, or the communication cost when establishing a centralized or a distributed architecture for achieving REM reconstruction. The evaluation results show that OK is able to reconstruct the REM in the platoon with acceptable mean squared estimation error, while reducing the control information for REM acquisition in up to 64% in the best-case scenario. |
format | Online Article Text |
id | pubmed-7249169 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-72491692020-06-10 Application of Radio Environment Map Reconstruction Techniques to Platoon-based Cellular V2X Communications Roger, Sandra Botella, Carmen Pérez-Solano, Juan J. Perez, Joaquin Sensors (Basel) Article Vehicle platoons involve groups of vehicles travelling together at a constant inter-vehicle distance, with different common benefits such as increasing road efficiency and fuel saving. Vehicle platooning requires highly reliable wireless communications to keep the group structure and carry out coordinated maneuvers in a safe manner. Focusing on infrastructure-assisted cellular vehicle to anything (V2X) communications, the amount of control information to be exchanged between each platoon vehicle and the base station is a critical factor affecting the communication latency. This paper exploits the particular structure and characteristics of platooning to decrease the control information exchange necessary for the channel acquisition stage. More precisely, a scheme based on radio environment map (REM) reconstruction is proposed, where geo-localized received power values are available at only a subset of platoon vehicles, while large-scale channel parameters estimates for the rest of platoon members are provided through the application of spatial Ordinary Kriging (OK) interpolation. Distinctive features of the vehicle platooning use case are explored, such as the optimal patterns of vehicles within the platoon with available REM values for improving the quality of the reconstruction, the need for an accurate semivariogram modeling in OK, or the communication cost when establishing a centralized or a distributed architecture for achieving REM reconstruction. The evaluation results show that OK is able to reconstruct the REM in the platoon with acceptable mean squared estimation error, while reducing the control information for REM acquisition in up to 64% in the best-case scenario. MDPI 2020-04-25 /pmc/articles/PMC7249169/ /pubmed/32344805 http://dx.doi.org/10.3390/s20092440 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Roger, Sandra Botella, Carmen Pérez-Solano, Juan J. Perez, Joaquin Application of Radio Environment Map Reconstruction Techniques to Platoon-based Cellular V2X Communications |
title | Application of Radio Environment Map Reconstruction Techniques to Platoon-based Cellular V2X Communications |
title_full | Application of Radio Environment Map Reconstruction Techniques to Platoon-based Cellular V2X Communications |
title_fullStr | Application of Radio Environment Map Reconstruction Techniques to Platoon-based Cellular V2X Communications |
title_full_unstemmed | Application of Radio Environment Map Reconstruction Techniques to Platoon-based Cellular V2X Communications |
title_short | Application of Radio Environment Map Reconstruction Techniques to Platoon-based Cellular V2X Communications |
title_sort | application of radio environment map reconstruction techniques to platoon-based cellular v2x communications |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7249169/ https://www.ncbi.nlm.nih.gov/pubmed/32344805 http://dx.doi.org/10.3390/s20092440 |
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