Vehicular Ad-hoc Networks using slotted Aloha: Point-to-point, emergency and broadcast communications

Błaszczyszyn, Bartłomiej; Mühlethaler, Paul; Achir, Nadjib

doi:10.1109/wd.2012.6402813

Cited by 9 publications

(4 citation statements)

References 11 publications

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“…Using this density function in (12) and mapping the domain of integration, we find (22). Although less intuitive, this method provides insight how the density of a one-dimensional PPP on a line changes for an observation point at a distance d from the line.…”

Section: A Extension To Multi-lane Scenariosmentioning

confidence: 99%

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A Stochastic Geometry Model for Vehicular Communication near Intersections

Steinmetz

Wildemeersch

Quek

et al. 2015

2015 IEEE Globecom Workshops (GC Wkshps)

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Many traffic-related applications require the nodes in a vehicular ad-hoc network (VANET) to periodically broadcast their state information. As measurements campaigns or simulations to evaluate the reliability of packet transmission are slow and scenario-specific, we present an analytic performance assessment tool that accounts for the spatial statistics of the nodes on a road, in a scenario of crossing roads and fast fading. Based on stochastic geometry, our tool is able to capture a static twodimensional road geometry and the effect of interference due to node clustering in the vicinity of an intersection. Numerical results reveal how packet transmission is affected as the receiver gets closer to the intersection.

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Section: A Extension To Multi-lane Scenariosmentioning

confidence: 99%

“…in which the first factor is of the form (12). The value of the second factor depends on d and on whether or not x rx is in the interval [−∆, +∆].…”

Section: B Extension To Non-homogeneous Pppsmentioning

confidence: 99%

A Stochastic Geometry Model for Vehicular Communication near Intersections

Steinmetz

Wildemeersch

Quek

et al. 2015

2015 IEEE Globecom Workshops (GC Wkshps)

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“…As far as V2V and V2I communications are concerned, several works investigated the effect of interference in highway scenarios [13]- [15]. In [16], the authors derive the expressions for the intensity of concurrent transmitters and packet success probability in multi-lane highways with CSMA MAC protocols.…”

Section: B-related Workmentioning

confidence: 99%

Outage Performance of NOMA at Road Intersections Using Stochastic Geometry

Belmekki

Hamza

Escrig

2019

2019 IEEE Wireless Communications and Networking Conference (WCNC)

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Vehicular safety communications (VSC) are known to provide relevant contributions to avoid congestions and prevent road accidents, and more particularly at road intersections since these areas are more prone to accidents. In this context, one of the main impairments that affect the performance of VSC are interference. In this paper, we develop a tractable framework to model cooperative transmissions in presence of interference for VSC at intersections. We use tools from stochastic geometry, and model interferer vehicles locations as a Poisson point process. First, we calculate the outage probability (OP) for a direct transmission when the received node can be anywhere on the plan. Then, we analyze the OP performance of a cooperative transmission scheme. The analysis takes into account two dimensions:the decoding strategy at the receiver, and the vehicles mobility. We derive the optimal relay position, from analytical and simulation results, for different traffic densities and for different vehicles mobility models. We also show that the OP does not improve after the number of infrastructure relays reached a threshold value. Finally, we show that the OP performance of VSC is higher at intersections than on highways. We validated our analytical results by Monte-Carlo simulations. Index TermsCooperative communications, interference, outage probability, decode-and-forward, stochastic geometry, Poisson point process, vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I), intersection. July 24, 2018 DRAFT arXiv:1807.08532v1 [cs.IT] 23 Jul 2018 2 I. INTRODUCTION A-Motivation: Road traffic safety is a major issue, especially at road intersections. Studies showed that 50% of all crashes are in junction roads (intersections) including fatal crashes, injury crashes and property damage crashes [1]. This makes intersections critical areas not only for vehicles, but also for cyclists and pedestrians. Vehicular communications offer a wide range of applications to avoid potential accidents, or to warn vehicles of an accident happening in their vicinity. Vehicular communications consist of vehicle-to-vehicle (V2V) communications, and vehicleto-infrastructure (V2I) communications, in which vehicles interact with infrastructures, e.g. road-side units (RSUs). However, the main limiting factors that can jeopardize V2V and V2I communications, and degrade the performance in terms of outage probability are the interference originated from other transmitting vehicles [2]. Hence, understanding interference dependence is crucial when designing safety and low latency applications and protocols [3]. In order to deal with interference, cooperative communications have been shown to reduce the outage probability, and increase the throughput in the presence of interference [4]. B-Related works: Several works focus on the effect of interference using tools from stochastic geometry, and point process theory. However, few researches focus on interference dependence between interferer nodes and how it affects the performance considering direct t...

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“…In 2-D planar networks, the analysis is well developed and a multitude of approaches to consider both geographical and medium access control (MAC) induced clustering [19], [20] as well as different types of fading [21]- [23] exist. However, in vehicular networks, where the location of the nodes are restricted by the roads, previous work that includes the spatial statistics of vehicles typically considers one-dimensional roads [24]- [28]. For these vehicular scenarios, geographical clustering has been addressed in [24], while effects due to the 802.11p carrier sense multiple access (CSMA) MAC protocol was studied in [25], [26], [29].…”

Section: Introductionmentioning

confidence: 99%

Packet Reception Probabilities in Vehicular Communications Close to Intersections

Steinmetz

Wildemeersch

Quek

et al. 2021

IEEE Trans. Intell. Transport. Syst.

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Vehicular networks allow vehicles to share information and are expected to be an integral part in future intelligent transportation system (ITS). In order to guide and validate the design process, analytical expressions of key performance metrics such as packet reception probabilities and throughput are necessary, in particular for accident-prone scenarios such as intersections. In this paper, we analyze the impact of interference in an intersection scenario with two perpendicular roads using tools from stochastic geometry. We present a general procedure to analytically determine the packet reception probability and throughput of a selected link, taking into account the geographical clustering of vehicles close to the intersection. We consider both Aloha and CSMA MAC protocols, and show how the procedure can be used to model different propagation environments of practical relevance. We show how different path loss functions and fading distributions can be incorporated in the analysis to model propagation conditions typical to both rural and urban intersections. Our results indicate that the procedure is general and flexible to deal with a variety of scenarios. Thus, it can serve as a useful design tool for communication system engineers, complementing simulations and experiments, to obtain quick insights into the network performance.

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Vehicular Ad-hoc Networks using slotted Aloha: Point-to-point, emergency and broadcast communications

Cited by 9 publications

References 11 publications

A Stochastic Geometry Model for Vehicular Communication near Intersections

A Stochastic Geometry Model for Vehicular Communication near Intersections

Outage Performance of NOMA at Road Intersections Using Stochastic Geometry

Packet Reception Probabilities in Vehicular Communications Close to Intersections

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