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Application of Radio environment map reconstruction techniques to platoon-based cellular V2X communications

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Application of Radio environment map reconstruction techniques to platoon-based cellular V2X communications

dc.contributor.author	Roger Varea, Sandra
dc.contributor.author	Botella Mascarell, Carmen
dc.contributor.author	Pérez Solano, Juan José
dc.contributor.author	Pérez Soler, Joaquín
dc.date.accessioned	2020-10-14T12:37:40Z
dc.date.available	2020-10-14T12:37:40Z
dc.date.issued	2020
dc.identifier.citation	Roger, Sandra Botella Mascarell, Carmen Pérez Solano, Juan José Pérez Soler, Joaquín 2020 Application of Radio environment map reconstruction techniques to platoon-based cellular V2X communications Sensors 20 9 2440
dc.identifier.uri	https://hdl.handle.net/10550/75838
dc.description.abstract	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.
dc.language.iso	eng
dc.relation.ispartof	Sensors, 2020, vol. 20, num. 9, p. 2440
dc.subject	Comunicació i tecnologia
dc.subject	Electrònica
dc.title	Application of Radio environment map reconstruction techniques to platoon-based cellular V2X communications
dc.type	journal article	es_ES
dc.date.updated	2020-10-14T12:37:41Z
dc.identifier.doi	10.3390/s20092440
dc.identifier.idgrec	138905
dc.rights.accessRights	open access	es_ES