Influence of the Channel Intertap Correlation on the V2X PHY-Layer Performance

Ivan, Iulia; Besnier, Philippe; Bunlon, Xavier; Danvic, Lois Le; Drissi, M'Hamed

doi:10.1109/tvt.2011.2179683

Cited by 3 publications

(2 citation statements)

References 17 publications

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“…Future works will consist in integrating realistic antenna pattern (including the effect of the vehicle) into our channel propagation models. These new models will be used as test cases to evaluate the communication performance in terms of Bit Error Rate/Packet Error Rate (BER/PER) after the integration of the physical (PHY) layer of the IEEE 802.11p standard dedicated to V2V communications [15]. Hence, this complete simulation tool will be able to guide our choice of antenna technology and integration on the vehicle.…”

Section: Discussionmentioning

confidence: 99%

A geometry-based stochastic approach to emulate V2V communications’ main propagation channel metrics

Narrainen¹,

Besnier²,

Ibambe³

2016

Int. J. Microw. Wireless Technol.

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In order to evaluate a communication system, we need to model the propagation channel of the relevant environments pertaining to that communication. In this paper, we propose a Geometry-Based Stochastic Channel Modeling approach to build up propagation channel simulations to assess the performance of vehicle-to-vehicle wireless communications. Our methodology allows the simulation of dynamic scenarios, with an electromagnetic simulator, to emulate typical propagation environments (rural, highway and urban-like propagation channels). Simple metallic plates are used to represent scatterers in the simulated geometric configurations. The common characteristics defining a propagation channel such as delay spread, angle of arrival distribution, and the delay-Doppler spectrum are obtained through adjustment of the number and location of those simple metallic plates.

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Section: Discussionmentioning

confidence: 99%

A geometry-based stochastic approach to emulate V2V communications’ main propagation channel metrics

Narrainen¹,

Besnier²,

Ibambe³

2016

Int. J. Microw. Wireless Technol.

Self Cite

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“…vehicular channel models described in the work by AcostaMarum and Ingram [32], taking into account the errata noted in [33]. The channel models therein adopt the tapped-delay line model where each tap is characterised by a Rician or Rayleigh Fading process and a Doppler power spectral density.…”

Section: B Channel Effectsmentioning

confidence: 99%

Enabling Accurate Cross-Layer PHY/MAC/NET Simulation Studies of Vehicular Communication Networks

et al. 2011

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Abstract-Vehicle-to-vehicle and vehicle-to-roadside communications is required for numerous applications that aim at improving traffic safety and efficiency. In this setting, however, gauging system performance through field trials can be very expensive especially when the number of studied vehicles is high. Therefore, many existing studies have been conducted using either network or physical layer simulators; both approaches are problematic. Network simulators typically abstract physical layer details (coding, modulation, radio channels, receiver algorithms, etc.) while physical layer ones do not consider overall network characteristics (topology, network traffic types and so on). In particular, network simulators view a transmitted frame as an indivisible unit, which leads to several limitations. First, the impact of the vehicular radio channel is typically not reflected in its appropriate context. Further, interference due to frame collisions is not modeled accurately (if at all) and, finally, the benefits of advanced signal processing techniques, such as interference cancelation, are difficult to assess. To overcome these shortcomings we have integrated a detailed physical layer simulator into the popular NS-3 network simulator. This approach aims to bridge the gap between the physical and the network layer perspectives, allow for more accurate channel and physical layer models, and enable studies on cross-layer optimization. In this paper, we exemplify our approach by integrating an IEEE 802.11a and p physical layer simulator with NS-3. Further, we validate the augmented NS-3 simulator against an actual IEEE 802.11 wireless testbed and illustrate the additional value of this integration.Index Terms-Vehicle-to-vehicle communication, Vehicle-toinfrastructure communication, 802.11p, Physical layer simulation, Network layer simulation, Cross-layer.

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Realistic IEEE 802.11p Transmission Simulations Based on Channel Sounder Measurement Data

Mahler

Paschalidis

Kortke

et al. 2013

2013 IEEE 78th Vehicular Technology Conference (VTC Fall)

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Influence of the Channel Intertap Correlation on the V2X PHY-Layer Performance

Cited by 3 publications

References 17 publications

A geometry-based stochastic approach to emulate V2V communications’ main propagation channel metrics

A geometry-based stochastic approach to emulate V2V communications’ main propagation channel metrics

Enabling Accurate Cross-Layer PHY/MAC/NET Simulation Studies of Vehicular Communication Networks

Realistic IEEE 802.11p Transmission Simulations Based on Channel Sounder Measurement Data

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