LTE-V2X Scalability and Spectrum Requirements to Support Multiple V2X Services

Connected Automated Vehicles (CAVs) will use multiple V2X services to support connected and automated driving functions. The bandwidth required to support such services will augment as CAVs are gradually deployed. It is therefore important to accurately estimate the spectrum requirements to anticipate possible scalability challenges ahead. Current estimations consider a simplified modeling of the transmitter as well as context factors such as the number of vehicles in the communication range. Moreover, they do not accurately model if the Quality of Service (QoS) of the considered V2X services is satisfied or not. This study progresses the state of the art with a novel analytical model that quantifies the bandwidth required to support multiple V2X services. The model considers the impact of the vehicular context, the transmission parameters and the communication requirements to take into account the QoS at the receiver. This is important since adapting the transmission parameters can reduce the channel load but also impacts the probability to correctly receive each packet and therefore the bandwidth required to guarantee a target QoS at the receiver. The proposed model can be adapted to different wireless technologies and messages, but is applied in this study to quantify the bandwidth required by LTE-V2X to support the transmission of CAMs, CPMs and MCMs. The study demonstrates the scalability challenges ahead to support multiple V2X services.

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Publication Details

Published
2024-10-07
DOI
https://doi.org/10.1109/vtc2024-fall63153.2024.10757634
Citations
3
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
0.63
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article

LTE-V2X Scalability and Spectrum Requirements to Support Multiple V2X Services

Miguel Sepulcre, Mohammad Irfan Khan, Takayuki Shimizu, M. Carmen Lucas-Estañ et al.
3 citations
Advanced MIMO Systems Optimization
0.63
article

LTE-V2X Scalability and Spectrum Requirements to Support Multiple V2X Services

Miguel Sepulcre, Mohammad Irfan Khan, Takayuki Shimizu, M. Carmen Lucas-Estañ, Javier Gozálvez, Baldomero Coll-Perales, Onur Altıntaş
article en
3 citations

Abstract

Connected Automated Vehicles (CAVs) will use multiple V2X services to support connected and automated driving functions. The bandwidth required to support such services will augment as CAVs are gradually deployed. It is therefore important to accurately estimate the spectrum requirements to anticipate possible scalability challenges ahead. Current estimations consider a simplified modeling of the transmitter as well as context factors such as the number of vehicles in the communication range. Moreover, they do not accurately model if the Quality of Service (QoS) of the considered V2X services is satisfied or not. This study progresses the state of the art with a novel analytical model that quantifies the bandwidth required to support multiple V2X services. The model considers the impact of the vehicular context, the transmission parameters and the communication requirements to take into account the QoS at the receiver. This is important since adapting the transmission parameters can reduce the channel load but also impacts the probability to correctly receive each packet and therefore the bandwidth required to guarantee a target QoS at the receiver. The proposed model can be adapted to different wireless technologies and messages, but is applied in this study to quantify the bandwidth required by LTE-V2X to support the transmission of CAMs, CPMs and MCMs. The study demonstrates the scalability challenges ahead to support multiple V2X services.

Universitat de Miguel Hernández d'Elx (ES), Toyota Motor North America (United States) (US)
Openalex Percentile: Top 30%
Advanced MIMO Systems Optimization
0.63
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LTE-V2X Scalability and Spectrum Requirements to Support Multiple V2X Services — Miguel Sepulcre, Mohammad Irfan Khan, et al. · (2024) | TGRS Research Map | TGRS