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Communication dans un congrès

A Fine-Grained Analysis of Radar Detection in Vehicular Networks

Gourab Ghatak 1 Sanket Sanjay Kalamkar 2 Yash Gupta 1 Shubhi Sharma 1
2 DYOGENE - Dynamics of Geometric Networks
DI-ENS - Département d'informatique de l'École normale supérieure, CNRS - Centre National de la Recherche Scientifique : UMR 8548, Inria de Paris
Abstract : Automotive radar is a critical feature in advanced driver-assistance systems. It is important in enhancing vehicle safety by detecting the presence of other vehicles in the vicinity. The performance of radar detection is, however, affected by the interference from radars of other vehicles as well as the variation in the target radar cross-section (RCS) due to varying physical features of the target vehicle. Considering such interference and random RCS, this work provides a fine-grained performance analysis of radar detection. Specifically, using stochastic geometry, we calculate the meta distribution of the signal-tointerference-and-noise ratio that permits the reliability analysis of radar detection at individual vehicles. We also evaluate the delay aspect of radar detection, namely, the mean local delay which is the average number of transmission attempts needed until the first successful target detection. For a given target distance, we obtain the optimal transmit probability that maximizes the density of successful radar detection while keeping the mean local delay below a threshold. We also provide several system design insights in terms of the fraction of reliable radar links, transmission delay, the density of vehicles, and congestion control.
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Communication dans un congrès
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https://hal.archives-ouvertes.fr/hal-03328162
Contributeur : Sanket Sanjay Kalamkar <>
Soumis le : samedi 28 août 2021 - 18:47:50
Dernière modification le : mercredi 1 septembre 2021 - 10:12:04

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Meta_Dist_Short_Paper.pdf
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  • HAL Id : hal-03328162, version 1

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Gourab Ghatak, Sanket Sanjay Kalamkar, Yash Gupta, Shubhi Sharma. A Fine-Grained Analysis of Radar Detection in Vehicular Networks. IEEE GLOBECOM 2021 - IEEE Global Communications Conference, Dec 2021, Madrid, Spain. ⟨hal-03328162⟩

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