Real-world measurements-based evaluation of IEEE 802.11p system performance

Shivaldova, Veronika; Mecklenbräuker, Christoph F.

doi:10.1109/wivec.2013.6698243

Cited by 10 publications

(7 citation statements)

References 6 publications

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“…For evaluating single links and small networks, measurement campaigns are often conducted [8][9][10][11]. If this is not possible, emulation solutions are used instead [12][13][14].…”

Section: Literature Reviewmentioning

confidence: 99%

Performance modelling and analysis for vehicle‐to‐anything connectivity in representative high‐interference channels

Blazek

Ghiaasi

Backfrieder

et al. 2019

IET Microwaves, Antennas & Propagation

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All too often, the performance of vehicular communications is benchmarked merely for a single link. A major challenge for benchmarking the performance of multiple interacting vehicles is the definition of repeatable vehicular scenarios. In this study, the authors propose and discuss an approach for performance analysis of the IEEE 802.11p standard in urban interference channels, by linking network simulations to a Software Defined Radio (SDR) setup. This approach provides communication performance measurements in the worst‐case interference scenario caused by an urban traffic jam. They do this by starting out with vehicular traffic flow simulations and continue to model the medium access. They furthermore introduce an algorithm to reduce the complexity of the communication network while retaining its properties. Finally, they use a setup of SDR encompassing the communication nodes and channel emulators that emulate urban channels to measure the packet level performance as a function of signal‐to‐interference ratio and distance to a receiver under urban traffic conditions.

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“…For evaluating single links and small networks, measurement campaigns are often conducted [8][9][10][11]. If this is not possible, emulation solutions are used instead [12][13][14].…”

Section: Literature Reviewmentioning

confidence: 99%

Performance modelling and analysis for vehicle‐to‐anything connectivity in representative high‐interference channels

Blazek

Ghiaasi

Backfrieder

et al. 2019

IET Microwaves, Antennas & Propagation

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“…The simulation-based strategies fall into three areas of scholarly research: (a) analyzing connectivity, (b) optimizing RSU deployments, and (c) load balancing RSUs. Recently, the empirical-based strategies were detailed in a series of field experiments that leveraged existing ITS infrastructure and analyzed constraints on DSRC transmission relative to distance ( 6 – 11 ).…”

Section: Literature Reviewmentioning

confidence: 99%

A Low-Cost Real-World Planning Strategy for Deploying a Dedicated Short-Range Communications Roadside Unit on a Highway Off-Ramp

Walker

Heaslip

2018

Transportation Research Record: Journal of the Transportation R

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The deployment of dedicated short-range communications (DSRC) roadside units (RSUs) allows a connected or automated vehicle to acquire information from the surrounding environment, such as a traffic light’s signal phase and timing, using vehicle-to-infrastructure communication. Several scholarly papers exist on planning strategies for DSRC RSU deployments using simulation without accounting for wireless communication constraints and environmental changes. This paper proposes an empirical-based planning strategy for a highway off-ramp in a real-world environment. The research goal focuses on developing a low-cost and structured deployment plan for DSRC RSUs with the following objectives: use free planning tools; apply the deployment strategy in a real-world environment; utilize publicly available DSRC RSU data measurements; and leverage existing intelligent transportation systems infrastructure when possible. The proposed planning strategy includes three steps: (1) conduct a virtual site survey, (2) gather baseline performance data for the DSRC RSU equipment, and (3) generate a predictive radio frequency signal. The planning strategy was successfully applied on a highway off-ramp at exit 19A of the Capital Beltway, which encircles Washington, DC.

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“…The elevated height of the transmitter antenna ensures that there is a seemingly undisrupted LOS component for the whole area of coverage of each RSU [20]- [22]. The deployment of the RSU takes place by the side of the left lane.…”

Section: Precise Calculation Of T-r Separationmentioning

confidence: 99%

V2I applications in highways: How RSU dimensioning can improve service delivery

Charalampopoulos

Dagiuklas

Chrysikos

2016

2016 23rd International Conference on Telecommunications (ICT)

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This paper investigates the performance of Vehicle-to-Infrastructure (V2I) services over Vehicular Networks (VANETs) that are assisted by Road Side Units (RSU). More specifically, an analytical study of RSU dimensioning and a respective module is designed and developed in a simulated VANET environment. Two V2I application scenarios (e.g. car crash, spot weather) are considered in order to evaluate the impact of RSUs, vehicles' size and speed and car crash start time and duration on applications' performance. It is shown that the VANET network metrics (Packet Loss and Packet Delivery Ratio) are affected by the available MAC Bit rates and application scenarios. Mobility model metrics (Total Busy Time and Total CO2 Emissions) are also affected by the different application scenarios, number and type of vehicles.

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Real-world measurements-based evaluation of IEEE 802.11p system performance

Cited by 10 publications

References 6 publications

Performance modelling and analysis for vehicle‐to‐anything connectivity in representative high‐interference channels

Performance modelling and analysis for vehicle‐to‐anything connectivity in representative high‐interference channels

A Low-Cost Real-World Planning Strategy for Deploying a Dedicated Short-Range Communications Roadside Unit on a Highway Off-Ramp

V2I applications in highways: How RSU dimensioning can improve service delivery

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