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dc.contributor.authorSingh, R.-
dc.contributor.authorsaluja, D.-
dc.contributor.authorKumar, S.-
dc.date.accessioned2022-06-13T13:35:30Z-
dc.date.available2022-06-13T13:35:30Z-
dc.date.issued2022-06-13-
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/3480-
dc.description.abstractAutomotive radar and vehicular communication are the two primary means of establishing an intelligent transportation system. However, both the systems are susceptible to interference. The inter-vehicular interference significantly affects the radar and communication performance, especially in the dense traffic scenarios. In this work, we have shown that lowering down radar range in dense traffic scenario provides twofold advantages; (a) it reduces radar-to-radar interference and, (b) it provides resources to support the vehicular communication. We propose a joint Radar-Communication (R-Comm) algorithm which enables connected vehicles to use a fraction of radar resources for vehicular communication based on the traffic density. Also, two different schemes have been proposed for R-Comm transmission in the sparse and dense traffic scenarios. Further, through simulation results, it is shown that R-Comm benefits both radar and communication systems.en_US
dc.language.isoen_USen_US
dc.subjectAutomotive radaren_US
dc.subjectConnected vehiclesen_US
dc.subjectDedicated short range communicationen_US
dc.subjectVehicular communicationen_US
dc.titleR-Comm: A Traffic Based Approach for Joint Vehicular Radar-Communicationen_US
dc.typeArticleen_US
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