Vehicular Link Performance: From Real-World Experiments to Reliability Models and Performance Analysis

Shivaldova, Veronika; Winkelbauer, Andreas; Mecklenbräuker, Christoph F.

doi:10.1109/mvt.2013.2283133

Cited by 20 publications

(11 citation statements)

References 11 publications

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“…Quantization-based algorithm for dimension reduction of the rangedependent modified Gilbert model introduced in [5] was proposed. On the basis of the quantized model parameters, well-defined quality boundaries can be set.…”

Section: Discussionmentioning

confidence: 99%

“…Proposed in [5] range-dependent modified Gilbert model is a computationally effective method for generating realistic V2I error patterns. This model is an extension of a simple two-state hidden Markov model introduced by Gilbert [7].…”

Section: B Preliminaries Of Modeling Approachmentioning

confidence: 99%

“…These factors include transceiver architecture, distance between the transmitter and the receiver, vehicle velocity, traffic conditions and other environmental factors influencing wireless propagation media. In this context a range-dependent modified Gilbert model capable of reproducing realistic errors patterns for infrastructure-to-vehicle (V2I) communication was introduced in [5]. Building upon the previous work, we propose an algorithm for dimension reduction of this model.…”

Section: Introductionmentioning

confidence: 99%

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Quantization-based complexity reduction for range-dependent modified Gilbert model

Shivaldova

Mecklenbräuker

2014

2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM)

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In this contribution we propose an algorithm for dimension reduction of the previously introduced range-dependent modified Gilbert model. For reduction of the model dimension we suggest to jointly quantize model parameters estimated based on very narrow measurement intervals. We analyze the influence of the number of quantization levels on the model performance and based on this analysis find the optimal model dimension. Furthermore, we show that selected environmental and propagation effects, influencing the error pattern, can be identified by means of quantizing model parameters. Finally we demonstrate that these effects can be accurately reproduced by our model.

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Section: Discussionmentioning

confidence: 99%

Section: B Preliminaries Of Modeling Approachmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Quantization-based complexity reduction for range-dependent modified Gilbert model

Shivaldova

Mecklenbräuker

2014

2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM)

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“…Recently, the empirical-based strategy was detailed in six notable papers by Shivaldova (6)(7)(8)(9)(10)(11). The Institute of Telecommunications is part of the Faculty of Electrical Engineering and Information Technology at Vienna University of Technology (see their website at https://www.nt.tuwien.ac.at).…”

Section: Empirical-based Planning Strategiesmentioning

confidence: 99%

“…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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Vehicular LTE connectivity analysis in urban and rural environments using USRP measurements

Vasudeva

Özdemir

Chandar

et al. 2020

Array

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Vehicular Link Performance: From Real-World Experiments to Reliability Models and Performance Analysis

Cited by 20 publications

References 11 publications

Quantization-based complexity reduction for range-dependent modified Gilbert model

Quantization-based complexity reduction for range-dependent modified Gilbert model

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

Vehicular LTE connectivity analysis in urban and rural environments using USRP measurements

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