Analytical Models of the Performance of IEEE 802.11p Vehicle to Vehicle Communications

Sepulcre, Miguel; Gonzalez-Martin, Manuel; Gozálvez, Javier; Molina-Masegosa, Rafael; Coll-Perales, Baldomero

doi:10.1109/tvt.2021.3124708

Cited by 30 publications

(22 citation statements)

References 29 publications

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“…The stability of the distributed platoon control under heterogeneous message rates is an open question that is not addressed in the literature and needs further research. State-of-the-art methods for channel estimation often rely on traffic information from I2V (Infrastructure-to-Vehicle) [7], [53]. Both through using Eq.…”

Section: E Message-rate Congestion Control Algorithmmentioning

confidence: 99%

Delay-Aware Multi-Layer Multi-Rate Model Predictive Control for Vehicle Platooning Under Message-Rate Congestion Control

Ibrahim

Goswami

Li³

et al. 2022

IEEE Access

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Section: E Message-rate Congestion Control Algorithmmentioning

confidence: 99%

Delay-Aware Multi-Layer Multi-Rate Model Predictive Control for Vehicle Platooning Under Message-Rate Congestion Control

Ibrahim

Goswami

Li³

et al. 2022

IEEE Access

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“…For the purpose of seamlessly connecting vehicles, IEEE 802.11p-based wireless communication technologies have been developed, called dedicated short-range communications (DSRC) in the US and ITS-G5 in the European Union (EU) [ 6 , 7 ]. As one option, the 3rd Generation Partnership Project (3GPP) has completed the first version of the Long-Term Evolution Vehicle-to-Everything (LTE-V2X) technology in the 4G-LTE network and has been investigating new use cases and technology requirements in 5G, 6G, and 6G-and-beyond networks [ 8 , 9 ].…”

Section: Introductionmentioning

confidence: 99%

“…DSRC/ITS-G5 or LTE/5G V2X technologies bring forth vehicle-to-infrastructure (V2I), infrastructure-to-vehicle (I2V), vehicle-to-vehicle (V2V), and V2X communications, which are predominant building blocks for future ITS applications [ 4 , 5 , 6 , 7 , 8 , 9 , 10 ]. Observing the specific dynamics of vehicular mobility, along with the local scope targeted by DSRC, ITS-G5, LTE/5G V2X, and the AI-empowered intelligent reflecting surface (IRS) communication framework [ 11 ] for ITS applications, notable protocol stacks have been developed by IEEE Wireless Access in Vehicular Environments (WAVE), ISO Communications Access for Land Mobiles (CALM), and the European Telecommunications Standards Institute (ETSI) [ 5 , 12 ].…”

Section: Introductionmentioning

confidence: 99%

“…Obviously, TDMA-based MAC protocols for VANETs are categorized as contention-based and contention-free strategies [ 16 ]. Since contention-based IEEE802.11p has been developed, DSRC has adopted carrier-sense multiple access with collision avoidance (CSMA/CA) mechanisms to avoid collisions by beginning transmission only after the channel is sensed to be idle [ 5 , 6 ]. However, CSMA/CA is affected by serious collisions in cases of heavy traffic load, and it is not effective in providing shared high-data-rate transmissions [ 9 , 19 ].…”

Section: Introductionmentioning

confidence: 99%

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A Contention-Free Cooperative MAC Protocol for Eliminating Heterogenous Collisions in Vehicular Ad Hoc Networks

Linn

Gao

2023

Sensors

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In vehicular ad hoc networks (VANETs), efficient data dissemination to a specified number of vehicles with minimum collisions and limited access delay is critical for accident prevention in road safety. However, packet collisions have a significant impact on access delay, and they may lead to unanticipated link failure when a range of diversified collisions are combined due to complex traffic conditions and rapid changes in network topology. In this paper, we propose a distributed contention-free cooperative medium access control (CFC-MAC) protocol to reduce heterogenous collisions and unintended access delay in stochastic traffic scenarios. Firstly, we develop a cooperative communication system model and cooperative forwarding mechanism to explore the optimum road path between the source and destination by identifying the potential cooperative vehicles. Secondly, we propose a vectorized trajectory estimation mechanism to suppress merging collisions by identifying the relative velocity of vehicles with different speeds in a specific time interval. Based on the case study, typical heterogeneous collisions and aggregated heterogeneous collisions at dissociated positions and associated positions are investigated. In both cases, we propose the corresponding collision-resolving mechanisms by methodically recapturing the colliding time slot or acquiring the available free time slots after identifying the access vehicles and comparing the received signal strengths. Performance analysis for collision probability and access delay is conducted. Finally, the simulation results show that the proposed protocol can achieve deterministic access delay and a minimal collision rate, substantially outperforming the existing solutions.

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“…The most common approach is therefore to use PER vs. SINR curves as already discussed. A few examples of works where these kinds of curves are used are [ 10 , 11 ], where LTE-V2X is studied, or [ 12 ], where the subject is IEEE 802.11p. Many research activities have therefore been devoted in the last decade to assessing the performance of direct V2X communications standards and providing PER vs. SINR as an output of their work.…”

Section: Introductionmentioning

confidence: 99%

A Methodology for Abstracting the Physical Layer of Direct V2X Communications Technologies

Bartoletti

Martinez³

et al. 2022

Sensors

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Recent advancements in vehicle-to-everything (V2X) communications have greatly increased the flexibility of the physical (PHY) and medium access control (MAC) layers. This increases the complexity when investigating the system from a network perspective to evaluate the performance of the supported applications. Such flexibility, in fact, needs to be taken into account through a cross-layer approach, which might lead to challenging evaluation processes. As an accurate simulation of the signals appears unfeasible, a typical solution is to rely on simple models for incorporating the PHY layer of the supported technologies based on off-line measurements or accurate link-level simulations. Such data are, however, limited to a subset of possible configurations, and extending them to others is costly when not even impossible. The goal of this paper is to develop a new approach for modeling the PHY layer of V2X communications that can be extended to a wide range of configurations without leading to extensive measurement or simulation campaigns at the link layer. In particular, given a scenario and starting from results in terms of the packet error rate (PER) vs. signal-to-interference-plus-noise ratio (SINR) related to a subset of possible configurations, we first approximated the curves with step functions characterized by a given SINR threshold, and we then derived one parameter, called implementation loss, that was used to obtain the SINR threshold and evaluate the network performance under any configuration in the same scenario. The proposed methodology, leading to a good trade-off among the complexity, generality, and accuracy of the performance evaluation process, was validated through extensive simulations with both IEEE 802.11p and LTE-V2X sidelink technologies in various scenarios. The results first show that the curves can be effectively approximated by using an SINR threshold, with a value corresponding to 0.5 PER, and then demonstrate that the network-level outputs derived from the proposed approach are very close to those obtained with complete curves, despite not being restricted to a few possible configurations.

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Analytical Models of the Performance of IEEE 802.11p Vehicle to Vehicle Communications

Cited by 30 publications

References 29 publications

Delay-Aware Multi-Layer Multi-Rate Model Predictive Control for Vehicle Platooning Under Message-Rate Congestion Control

Delay-Aware Multi-Layer Multi-Rate Model Predictive Control for Vehicle Platooning Under Message-Rate Congestion Control

A Contention-Free Cooperative MAC Protocol for Eliminating Heterogenous Collisions in Vehicular Ad Hoc Networks

A Methodology for Abstracting the Physical Layer of Direct V2X Communications Technologies

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